diff --git a/.github/workflows/assign-issue-milestone.yml b/.github/workflows/assign-issue-milestone.yml
index 04a6d06e614e..4944ad12c853 100644
--- a/.github/workflows/assign-issue-milestone.yml
+++ b/.github/workflows/assign-issue-milestone.yml
@@ -15,8 +15,3 @@ jobs:
         version-prefix: 'release-'
         version-separator: '.'
         overwrite: false
-    - name: Add issue to project
-      uses: actions/add-to-project@v0.3.0
-      with:
-        project-url: https://github.com/orgs/risingwavelabs/projects/13
-        github-token: ${{ secrets.ADD_TO_PROJECT_PAT }}
diff --git a/Cargo.lock b/Cargo.lock
index a9451b067475..fa05f6708672 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -6180,6 +6180,7 @@ dependencies = [
  "madsim-tonic",
  "maplit",
  "md5",
+ "more-asserts",
  "num-integer",
  "parking_lot 0.12.1",
  "parse-display",
diff --git a/docker/dashboards/risingwave-dev-dashboard.json b/docker/dashboards/risingwave-dev-dashboard.json
index 84c3fbed6fb0..9d880b844239 100644
--- a/docker/dashboards/risingwave-dev-dashboard.json
+++ b/docker/dashboards/risingwave-dev-dashboard.json
@@ -1 +1 @@
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instance))","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"p99 - {{job}} @ {{instance}}","metric":"","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Query Latency in Distributed Execution Mode","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"s"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":16},"height":null,"hideTimeOverride":false,"id":47,"interval":"1s","links":[],"maxDataPoints":1000,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["mean"],"displayMode":"table","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"histogram_quantile(0.5, sum(rate(frontend_latency_local_execution_bucket{job=~\"$job\",instance=~\"$node\"}[$__rate_interval])) by (le, job, instance))","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"p50 - {{job}} @ {{instance}}","metric":"","refId":"","step":10,"target":""},{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"histogram_quantile(0.9, sum(rate(frontend_latency_local_execution_bucket{job=~\"$job\",instance=~\"$node\"}[$__rate_interval])) by (le, job, instance))","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"p90 - {{job}} @ {{instance}}","metric":"","refId":"","step":10,"target":""},{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"histogram_quantile(0.95, sum(rate(frontend_latency_local_execution_bucket{job=~\"$job\",instance=~\"$node\"}[$__rate_interval])) by (le, job, instance))","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"p99 - {{job}} @ {{instance}}","metric":"","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Query Latency in Local Execution Mode","transformations":[],"transparent":false,"type":"timeseries"}],"repeat":null,"repeatDirection":null,"span":null,"targets":[],"timeFrom":null,"timeShift":null,"title":"Batch","transformations":[],"transparent":false,"type":"row"},{"cacheTimeout":null,"collapsed":true,"datasource":null,"description":null,"editable":true,"error":false,"fieldConfig":{"defaults":{"thresholds":{"mode":"absolute","steps":[]}}},"gridPos":{"h":1,"w":24,"x":0,"y":56},"height":null,"hideTimeOverride":false,"id":48,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"panels":[{"cacheTimeout":null,"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"rows/s"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":0},"height":null,"hideTimeOverride":false,"id":49,"interval":"1s","links":[],"maxDataPoints":1000,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["mean"],"displayMode":"table","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"rate(connector_source_rows_received{job=~\"$job\",instance=~\"$node\"}[$__rate_interval])","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"source={{source_type}} @ {{source_id}}","metric":"","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Connector Source Throughput(rows)","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"rows/s"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":12,"y":0},"height":null,"hideTimeOverride":false,"id":50,"interval":"1s","links":[],"maxDataPoints":1000,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["mean"],"displayMode":"table","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"rate(connector_sink_rows_received{job=~\"$job\",instance=~\"$node\"}[$__rate_interval])","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"sink={{connector_type}} @ {{sink_id}}","metric":"","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Connector Sink Throughput(rows)","transformations":[],"transparent":false,"type":"timeseries"}],"repeat":null,"repeatDirection":null,"span":null,"targets":[],"timeFrom":null,"timeShift":null,"title":"Connector Node","transformations":[],"transparent":false,"type":"row"}],"refresh":"10s","rows":[],"schemaVersion":12,"sharedCrosshair":true,"style":"dark","tags":["risingwave"],"templating":{"list":[{"current":{"selected":false,"text":"All","value":"__all"},"definition":"label_values(process_cpu_seconds_total, instance)","description":"Reporting instance of the metric","hide":0,"includeAll":true,"label":"Node","multi":true,"name":"node","options":[],"query":{"query":"label_values(process_cpu_seconds_total, instance)","refId":"StandardVariableQuery"},"refresh":2,"regex":"","skipUrlSync":false,"sort":6,"type":"query"},{"current":{"selected":false,"text":"All","value":"__all"},"definition":"label_values(process_cpu_seconds_total, job)","description":"Reporting job of the metric","hide":0,"includeAll":true,"label":"Job","multi":true,"name":"job","options":[],"query":{"query":"label_values(process_cpu_seconds_total, job)","refId":"StandardVariableQuery"},"refresh":2,"regex":"","skipUrlSync":false,"sort":6,"type":"query"}]},"time":{"from":"now-30m","to":"now"},"timepicker":{"hidden":false,"refresh_intervals":["5s","10s","30s","1m","5m","15m","30m","1h","2h","1d"],"time_options":["5m","15m","1h","6h","12h","24h","2d","7d","30d"]},"timezone":"browser","title":"risingwave_dashboard","uid":"Fcy3uV1nz","version":0}
diff --git a/e2e_test/batch/distribution_mode.slt b/e2e_test/batch/distribution_mode.slt
index 45b8779ebf5c..c125000a3acd 100644
--- a/e2e_test/batch/distribution_mode.slt
+++ b/e2e_test/batch/distribution_mode.slt
@@ -4,7 +4,6 @@ SET RW_IMPLICIT_FLUSH TO true;
 statement ok
 SET QUERY_MODE TO distributed;
 
-
 include ./basic/*.slt.part
 include ./duckdb/all.slt.part
 include ./order/*.slt.part
@@ -13,6 +12,7 @@ include ./join/*/*.slt.part
 include ./aggregate/*.slt.part
 include ./types/*.slt.part
 include ./functions/*.slt.part
+include ./over_window/main.slt.part
 
 statement ok
 SET QUERY_MODE TO auto;
diff --git a/e2e_test/batch/local_mode.slt b/e2e_test/batch/local_mode.slt
index a26bf8b57299..5de337518d43 100644
--- a/e2e_test/batch/local_mode.slt
+++ b/e2e_test/batch/local_mode.slt
@@ -14,6 +14,7 @@ include ./aggregate/*.slt.part
 include ./types/*.slt.part
 include ./catalog/*.slt.part
 include ./functions/*.slt.part
+include ./over_window/main.slt.part
 
 statement ok
 SET QUERY_MODE TO auto;
diff --git a/e2e_test/batch/over_window/main.slt.part b/e2e_test/batch/over_window/main.slt.part
new file mode 100644
index 000000000000..6e277352059c
--- /dev/null
+++ b/e2e_test/batch/over_window/main.slt.part
@@ -0,0 +1,5 @@
+statement ok
+SET RW_IMPLICIT_FLUSH TO true;
+
+include ./special_cases/mod.slt.part
+include ./over_window/mod.slt.part
diff --git a/e2e_test/batch/over_window/over_window b/e2e_test/batch/over_window/over_window
new file mode 120000
index 000000000000..f3208bd4500b
--- /dev/null
+++ b/e2e_test/batch/over_window/over_window
@@ -0,0 +1 @@
+../../over_window/generated/batch
\ No newline at end of file
diff --git a/e2e_test/batch/over_window/special_cases/mod.slt.part b/e2e_test/batch/over_window/special_cases/mod.slt.part
new file mode 100644
index 000000000000..265ed4966619
--- /dev/null
+++ b/e2e_test/batch/over_window/special_cases/mod.slt.part
@@ -0,0 +1 @@
+include ./to_agg_then_join.slt.part
diff --git a/e2e_test/batch/over_window.slt b/e2e_test/batch/over_window/special_cases/to_agg_then_join.slt.part
similarity index 96%
rename from e2e_test/batch/over_window.slt
rename to e2e_test/batch/over_window/special_cases/to_agg_then_join.slt.part
index b11f4d2534e0..e2545f9d69ed 100644
--- a/e2e_test/batch/over_window.slt
+++ b/e2e_test/batch/over_window/special_cases/to_agg_then_join.slt.part
@@ -5,7 +5,7 @@ statement ok
 create table t(x int, y int);
 
 statement ok
-insert into t values 
+insert into t values
     (1, 1), (1, 2), (1, 3), (1, 4), (1, 5),
     (2, 1), (2, 2), (2, 3), (2, 4), (2, 5),
     (3, 1), (3, 2), (3, 3), (3, 4), (3, 5),
diff --git a/e2e_test/batch/transaction/now.slt.disabled b/e2e_test/batch/transaction/now.slt.disabled
new file mode 100644
index 000000000000..d1be437ba371
--- /dev/null
+++ b/e2e_test/batch/transaction/now.slt.disabled
@@ -0,0 +1,54 @@
+# Disabled, see https://github.com/risingwavelabs/risingwave/issues/10887
+
+statement ok
+create table t (ts timestamp);
+
+statement ok
+create view v as select * from t where ts at time zone 'utc' >= now();
+
+statement ok
+create materialized view mv as select * from v;
+
+statement ok
+insert into t select * from generate_series(
+    now() at time zone 'utc' - interval '10' second,
+    now() at time zone 'utc' + interval '20' second,
+    interval '1' second / 20
+);
+
+statement ok
+flush;
+
+statement ok
+start transaction read only;
+
+# the view should not be empty, so that the following check is meaningful
+query T
+select count(*) > 0 from mv;
+----
+t
+
+# the result from batch query and materialized view should be the same
+query T
+select * from v
+except
+select * from mv;
+----
+
+query T
+select * from mv
+except
+select * from v;
+----
+
+statement ok
+commit;
+
+statement ok
+drop materialized view mv;
+
+statement ok
+drop view v;
+
+statement ok
+drop table t;
diff --git a/e2e_test/over_window/README b/e2e_test/over_window/README
new file mode 100644
index 000000000000..a71fd9cdab64
--- /dev/null
+++ b/e2e_test/over_window/README
@@ -0,0 +1 @@
+Please run `gen.py` after modifying SLT template files in `templates`.
diff --git a/e2e_test/over_window/gen.py b/e2e_test/over_window/gen.py
new file mode 100755
index 000000000000..bd30d998d83f
--- /dev/null
+++ b/e2e_test/over_window/gen.py
@@ -0,0 +1,43 @@
+#!/usr/bin/env python3
+
+import os
+import shutil
+from os import path
+from string import Template
+
+cd = path.dirname(path.abspath(__file__))
+templates_dir = path.join(cd, "templates")
+generated_dir = path.join(cd, "generated")
+
+contexts = {
+    "batch": {
+        "view_type": "view",
+    },
+    "streaming": {
+        "view_type": "materialized view",
+    },
+}
+
+file_head = """# This file is generated by `gen.py`. Do not edit it manually!"""
+
+for mode in contexts.keys():
+    mode_dir = path.join(generated_dir, mode)
+    shutil.rmtree(mode_dir)
+    os.makedirs(mode_dir, exist_ok=True)
+
+for file in os.listdir(templates_dir):
+    if not file.endswith(".slt") and not file.endswith(".slt.part"):
+        continue
+
+    print(f"Generating `{file}`...")
+
+    with open(path.join(templates_dir, file), "r") as f:
+        tpl = Template(f.read())
+
+    for mode, context in contexts.items():
+        out_file = path.join(generated_dir, mode, file)
+        with open(out_file, "w") as f:
+            f.write(file_head + "\n\n")
+            f.write(tpl.safe_substitute(context))
+
+print("Done.")
diff --git a/e2e_test/streaming/over_window/over_window/create.slt.part b/e2e_test/over_window/generated/batch/create.slt.part
similarity index 65%
rename from e2e_test/streaming/over_window/over_window/create.slt.part
rename to e2e_test/over_window/generated/batch/create.slt.part
index f9732d31677c..be2f6d340dd6 100644
--- a/e2e_test/streaming/over_window/over_window/create.slt.part
+++ b/e2e_test/over_window/generated/batch/create.slt.part
@@ -1,3 +1,5 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
 statement ok
 create table t (
       id int
@@ -10,7 +12,7 @@ create table t (
 
 # simple and basic `first_value` call
 statement ok
-create materialized view mv_a as
+create view v_a as
 select
     *
     , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
@@ -18,17 +20,17 @@ from t;
 
 # multiple aggregate calls with unbounded frames
 statement ok
-create materialized view mv_b as
+create view v_b as
 select
     *
     , avg(v1) over (partition by p1) as out2
-    , sum(v1) over (partition by p1, p2 order by time rows between unbounded preceding and current row) as out3
-    , min(v1) over (partition by p1, p2 order by time rows between current row and unbounded following) as out4
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
 from t;
 
 # lag and lead
 statement ok
-create materialized view mv_c as
+create view v_c as
 select
     *
     , lag(v1, 0) over (partition by p1 order by id) as out5
@@ -40,7 +42,7 @@ from t;
 
 # row_number
 statement ok
-create materialized view mv_d as
+create view v_d as
 select
     *
     , row_number() over (partition by p1 order by time, id) as out10
@@ -48,16 +50,16 @@ select
 from t;
 
 statement ok
-create materialized view mv_a_b as
+create view v_a_b as
 select
     *
     , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
-    , sum(v1) over (partition by p1, p2 order by time rows between unbounded preceding and current row) as out3
-    , min(v1) over (partition by p1, p2 order by time rows between current row and unbounded following) as out4
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
 from t;
 
 statement ok
-create materialized view mv_a_c as
+create view v_a_c as
 select
     *
     , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
@@ -67,24 +69,24 @@ select
 from t;
 
 statement ok
-create materialized view mv_b_c as
+create view v_b_c as
 select
     *
-    , sum(v1) over (partition by p1, p2 order by time rows between unbounded preceding and current row) as out3
-    , min(v1) over (partition by p1, p2 order by time rows between current row and unbounded following) as out4
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
     , lag(v1) over (partition by p1, p2 order by time, id) as out7
     , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
     , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
 from t;
 
 statement ok
-create materialized view mv_a_b_c as
+create view v_a_b_c as
 select
     *
     , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
     , avg(v1) over (partition by p1) as out2
-    , sum(v1) over (partition by p1, p2 order by time rows between unbounded preceding and current row) as out3
-    , min(v1) over (partition by p1, p2 order by time rows between current row and unbounded following) as out4
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
     , lag(v1, 0) over (partition by p1 order by id) as out5
     , lag(v1, 1) over (partition by p1, p2 order by id) as out6
     , lag(v1) over (partition by p1, p2 order by time, id) as out7
diff --git a/e2e_test/over_window/generated/batch/cross_check.slt.part b/e2e_test/over_window/generated/batch/cross_check.slt.part
new file mode 100644
index 000000000000..34ef01e43b83
--- /dev/null
+++ b/e2e_test/over_window/generated/batch/cross_check.slt.part
@@ -0,0 +1,42 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+# result should be empty, which means output in v_a_b all equal to v_a and v_b
+query i
+select
+    id, out1, out3, out4
+from v_a_b
+except
+select
+    id, out1, out3, out4
+from v_a natural join v_b;
+----
+
+query i
+select
+    id, out1, out7, out8, out9
+from v_a_c
+except
+select
+    id, out1, out7, out8, out9
+from v_a natural join v_c;
+----
+
+query i
+select
+    id, out3, out4, out7, out8, out9
+from v_b_c
+except
+select
+    id, out3, out4, out7, out8, out9
+from v_b natural join v_c;
+----
+
+query i
+select
+    id, out1, out2, out3, out4, out5, out6, out7, out8, out9
+from v_a_b_c
+except
+select
+    id, out1, out2, out3, out4, out5, out6, out7, out8, out9
+from v_a natural join v_b natural join v_c;
+----
diff --git a/e2e_test/over_window/generated/batch/drop.slt.part b/e2e_test/over_window/generated/batch/drop.slt.part
new file mode 100644
index 000000000000..c3426721f4d6
--- /dev/null
+++ b/e2e_test/over_window/generated/batch/drop.slt.part
@@ -0,0 +1,28 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+statement ok
+drop view v_a;
+
+statement ok
+drop view v_b;
+
+statement ok
+drop view v_c;
+
+statement ok
+drop view v_d;
+
+statement ok
+drop view v_a_b;
+
+statement ok
+drop view v_b_c;
+
+statement ok
+drop view v_a_c;
+
+statement ok
+drop view v_a_b_c;
+
+statement ok
+drop table t;
diff --git a/e2e_test/over_window/generated/batch/mod.slt.part b/e2e_test/over_window/generated/batch/mod.slt.part
new file mode 100644
index 000000000000..2a125eaa9588
--- /dev/null
+++ b/e2e_test/over_window/generated/batch/mod.slt.part
@@ -0,0 +1,177 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+include ./create.slt.part
+
+statement ok
+insert into t values
+  (100001, 100, 200, 1, 701, 805)
+, (100002, 100, 200, 2, 700, 806)
+, (100003, 100, 208, 2, 723, 807)
+, (100004, 103, 200, 2, 702, 808);
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  700  806  701
+100003  100  208  2  723  807  723
+100004  103  200  2  702  808  702
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  708   701  700
+100002  100  200  2  700  806  708  1401  700
+100003  100  208  2  723  807  708   723  723
+100004  103  200  2  702  808  702   702  702
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   806  NULL
+100002  100  200  2  700  806  700   701   701  NULL  NULL
+100003  100  208  2  723  807  723  NULL  NULL  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  2
+100002  100  200  2  700  806  2  3
+100003  100  208  2  723  807  3  1
+100004  103  200  2  702  808  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+insert into t values
+  (100005, 100, 200, 3, 717, 810)
+, (100006, 105, 204, 5, 703, 828);
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  700  806  701
+100003  100  208  2  723  807  723
+100004  103  200  2  702  808  702
+100005  100  200  3  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  710.25   701  700
+100002  100  200  2  700  806  710.25  1401  700
+100003  100  208  2  723  807  710.25   723  723
+100004  103  200  2  702  808  702      702  702
+100005  100  200  3  717  810  710.25  2118  717
+100006  105  204  5  703  828  703      703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   806  NULL
+100002  100  200  2  700  806  700   701   701   810   810
+100003  100  208  2  723  807  723  NULL  NULL  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+100005  100  200  3  717  810  717   700   700  NULL  NULL
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  2
+100002  100  200  2  700  806  2  3
+100003  100  208  2  723  807  3  1
+100004  103  200  2  702  808  1  1
+100005  100  200  3  717  810  4  4
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+update t set v1 = 799 where id = 100002; -- value change
+
+statement ok
+update t set p2 = 200 where id = 100003; -- partition change
+
+statement ok
+update t set "time" = 1 where id = 100005; -- order change
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  799  806  701
+100003  100  200  2  723  807  701
+100004  103  200  2  702  808  702
+100005  100  200  1  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  735   701  701
+100002  100  200  2  799  806  735  2217  723
+100003  100  200  2  723  807  735  2940  723
+100004  103  200  2  702  808  702   702  702
+100005  100  200  1  717  810  735  1418  717
+100006  105  204  5  703  828  703   703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   810   807
+100002  100  200  2  799  806  799   701   717   807  NULL
+100003  100  200  2  723  807  723   799   799  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+100005  100  200  1  717  810  717   723   701   806   806
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  1
+100002  100  200  2  799  806  3  2
+100003  100  200  2  723  807  4  3
+100004  103  200  2  702  808  1  1
+100005  100  200  1  717  810  2  4
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+delete from t where time = 2;
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100005  100  200  1  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  709   701  701
+100005  100  200  1  717  810  709  1418  717
+100006  105  204  5  703  828  703   703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   810  NULL
+100005  100  200  1  717  810  717   701   701  NULL  NULL
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  1
+100005  100  200  1  717  810  2  2
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+include ./drop.slt.part
diff --git a/e2e_test/over_window/generated/streaming/create.slt.part b/e2e_test/over_window/generated/streaming/create.slt.part
new file mode 100644
index 000000000000..9e354c5bbbdb
--- /dev/null
+++ b/e2e_test/over_window/generated/streaming/create.slt.part
@@ -0,0 +1,95 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+statement ok
+create table t (
+      id int
+    , p1 int
+    , p2 int
+    , time int
+    , v1 int
+    , v2 int
+);
+
+# simple and basic `first_value` call
+statement ok
+create materialized view v_a as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+from t;
+
+# multiple aggregate calls with unbounded frames
+statement ok
+create materialized view v_b as
+select
+    *
+    , avg(v1) over (partition by p1) as out2
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+from t;
+
+# lag and lead
+statement ok
+create materialized view v_c as
+select
+    *
+    , lag(v1, 0) over (partition by p1 order by id) as out5
+    , lag(v1, 1) over (partition by p1, p2 order by id) as out6
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+# row_number
+statement ok
+create materialized view v_d as
+select
+    *
+    , row_number() over (partition by p1 order by time, id) as out10
+    , row_number() over (partition by p1 order by p2 desc, id) as out11
+from t;
+
+statement ok
+create materialized view v_a_b as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+from t;
+
+statement ok
+create materialized view v_a_c as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+statement ok
+create materialized view v_b_c as
+select
+    *
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+statement ok
+create materialized view v_a_b_c as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , avg(v1) over (partition by p1) as out2
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+    , lag(v1, 0) over (partition by p1 order by id) as out5
+    , lag(v1, 1) over (partition by p1, p2 order by id) as out6
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
diff --git a/e2e_test/over_window/generated/streaming/cross_check.slt.part b/e2e_test/over_window/generated/streaming/cross_check.slt.part
new file mode 100644
index 000000000000..34ef01e43b83
--- /dev/null
+++ b/e2e_test/over_window/generated/streaming/cross_check.slt.part
@@ -0,0 +1,42 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+# result should be empty, which means output in v_a_b all equal to v_a and v_b
+query i
+select
+    id, out1, out3, out4
+from v_a_b
+except
+select
+    id, out1, out3, out4
+from v_a natural join v_b;
+----
+
+query i
+select
+    id, out1, out7, out8, out9
+from v_a_c
+except
+select
+    id, out1, out7, out8, out9
+from v_a natural join v_c;
+----
+
+query i
+select
+    id, out3, out4, out7, out8, out9
+from v_b_c
+except
+select
+    id, out3, out4, out7, out8, out9
+from v_b natural join v_c;
+----
+
+query i
+select
+    id, out1, out2, out3, out4, out5, out6, out7, out8, out9
+from v_a_b_c
+except
+select
+    id, out1, out2, out3, out4, out5, out6, out7, out8, out9
+from v_a natural join v_b natural join v_c;
+----
diff --git a/e2e_test/over_window/generated/streaming/drop.slt.part b/e2e_test/over_window/generated/streaming/drop.slt.part
new file mode 100644
index 000000000000..349e9baa3dee
--- /dev/null
+++ b/e2e_test/over_window/generated/streaming/drop.slt.part
@@ -0,0 +1,28 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+statement ok
+drop materialized view v_a;
+
+statement ok
+drop materialized view v_b;
+
+statement ok
+drop materialized view v_c;
+
+statement ok
+drop materialized view v_d;
+
+statement ok
+drop materialized view v_a_b;
+
+statement ok
+drop materialized view v_b_c;
+
+statement ok
+drop materialized view v_a_c;
+
+statement ok
+drop materialized view v_a_b_c;
+
+statement ok
+drop table t;
diff --git a/e2e_test/over_window/generated/streaming/mod.slt.part b/e2e_test/over_window/generated/streaming/mod.slt.part
new file mode 100644
index 000000000000..2a125eaa9588
--- /dev/null
+++ b/e2e_test/over_window/generated/streaming/mod.slt.part
@@ -0,0 +1,177 @@
+# This file is generated by `gen.py`. Do not edit it manually!
+
+include ./create.slt.part
+
+statement ok
+insert into t values
+  (100001, 100, 200, 1, 701, 805)
+, (100002, 100, 200, 2, 700, 806)
+, (100003, 100, 208, 2, 723, 807)
+, (100004, 103, 200, 2, 702, 808);
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  700  806  701
+100003  100  208  2  723  807  723
+100004  103  200  2  702  808  702
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  708   701  700
+100002  100  200  2  700  806  708  1401  700
+100003  100  208  2  723  807  708   723  723
+100004  103  200  2  702  808  702   702  702
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   806  NULL
+100002  100  200  2  700  806  700   701   701  NULL  NULL
+100003  100  208  2  723  807  723  NULL  NULL  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  2
+100002  100  200  2  700  806  2  3
+100003  100  208  2  723  807  3  1
+100004  103  200  2  702  808  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+insert into t values
+  (100005, 100, 200, 3, 717, 810)
+, (100006, 105, 204, 5, 703, 828);
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  700  806  701
+100003  100  208  2  723  807  723
+100004  103  200  2  702  808  702
+100005  100  200  3  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  710.25   701  700
+100002  100  200  2  700  806  710.25  1401  700
+100003  100  208  2  723  807  710.25   723  723
+100004  103  200  2  702  808  702      702  702
+100005  100  200  3  717  810  710.25  2118  717
+100006  105  204  5  703  828  703      703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   806  NULL
+100002  100  200  2  700  806  700   701   701   810   810
+100003  100  208  2  723  807  723  NULL  NULL  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+100005  100  200  3  717  810  717   700   700  NULL  NULL
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  2
+100002  100  200  2  700  806  2  3
+100003  100  208  2  723  807  3  1
+100004  103  200  2  702  808  1  1
+100005  100  200  3  717  810  4  4
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+update t set v1 = 799 where id = 100002; -- value change
+
+statement ok
+update t set p2 = 200 where id = 100003; -- partition change
+
+statement ok
+update t set "time" = 1 where id = 100005; -- order change
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100002  100  200  2  799  806  701
+100003  100  200  2  723  807  701
+100004  103  200  2  702  808  702
+100005  100  200  1  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  735   701  701
+100002  100  200  2  799  806  735  2217  723
+100003  100  200  2  723  807  735  2940  723
+100004  103  200  2  702  808  702   702  702
+100005  100  200  1  717  810  735  1418  717
+100006  105  204  5  703  828  703   703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   810   807
+100002  100  200  2  799  806  799   701   717   807  NULL
+100003  100  200  2  723  807  723   799   799  NULL  NULL
+100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
+100005  100  200  1  717  810  717   723   701   806   806
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  1
+100002  100  200  2  799  806  3  2
+100003  100  200  2  723  807  4  3
+100004  103  200  2  702  808  1  1
+100005  100  200  1  717  810  2  4
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+statement ok
+delete from t where time = 2;
+
+query iiiiii
+select * from v_a order by id;
+----
+100001  100  200  1  701  805  701
+100005  100  200  1  717  810  701
+100006  105  204  5  703  828  703
+
+query iiiiiiii
+select * from v_b order by id;
+----
+100001  100  200  1  701  805  709   701  701
+100005  100  200  1  717  810  709  1418  717
+100006  105  204  5  703  828  703   703  703
+
+query iiiiiiiiii
+select * from v_c order by id;
+----
+100001  100  200  1  701  805  701  NULL  NULL   810  NULL
+100005  100  200  1  717  810  717   701   701  NULL  NULL
+100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
+
+query II
+select * from v_d order by id;
+----
+100001  100  200  1  701  805  1  1
+100005  100  200  1  717  810  2  2
+100006  105  204  5  703  828  1  1
+
+include ./cross_check.slt.part
+
+include ./drop.slt.part
diff --git a/e2e_test/over_window/templates/create.slt.part b/e2e_test/over_window/templates/create.slt.part
new file mode 100644
index 000000000000..73e01c76860b
--- /dev/null
+++ b/e2e_test/over_window/templates/create.slt.part
@@ -0,0 +1,93 @@
+statement ok
+create table t (
+      id int
+    , p1 int
+    , p2 int
+    , time int
+    , v1 int
+    , v2 int
+);
+
+# simple and basic `first_value` call
+statement ok
+create $view_type v_a as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+from t;
+
+# multiple aggregate calls with unbounded frames
+statement ok
+create $view_type v_b as
+select
+    *
+    , avg(v1) over (partition by p1) as out2
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+from t;
+
+# lag and lead
+statement ok
+create $view_type v_c as
+select
+    *
+    , lag(v1, 0) over (partition by p1 order by id) as out5
+    , lag(v1, 1) over (partition by p1, p2 order by id) as out6
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+# row_number
+statement ok
+create $view_type v_d as
+select
+    *
+    , row_number() over (partition by p1 order by time, id) as out10
+    , row_number() over (partition by p1 order by p2 desc, id) as out11
+from t;
+
+statement ok
+create $view_type v_a_b as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+from t;
+
+statement ok
+create $view_type v_a_c as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+statement ok
+create $view_type v_b_c as
+select
+    *
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
+
+statement ok
+create $view_type v_a_b_c as
+select
+    *
+    , first_value(v1) over (partition by p1, p2 order by time, id rows 3 preceding) as out1
+    , avg(v1) over (partition by p1) as out2
+    , sum(v1) over (partition by p1, p2 order by time, id rows between unbounded preceding and current row) as out3
+    , min(v1) over (partition by p1, p2 order by time, id rows between current row and unbounded following) as out4
+    , lag(v1, 0) over (partition by p1 order by id) as out5
+    , lag(v1, 1) over (partition by p1, p2 order by id) as out6
+    , lag(v1) over (partition by p1, p2 order by time, id) as out7
+    , lead(v2, 1) over (partition by p1, p2 order by time, id) as out8
+    , lead(v2, 2) over (partition by p1, p2 order by v1, v2) as out9
+from t;
diff --git a/e2e_test/streaming/over_window/over_window/cross_check.slt.part b/e2e_test/over_window/templates/cross_check.slt.part
similarity index 62%
rename from e2e_test/streaming/over_window/over_window/cross_check.slt.part
rename to e2e_test/over_window/templates/cross_check.slt.part
index a0798a4a0886..b2a804125714 100644
--- a/e2e_test/streaming/over_window/over_window/cross_check.slt.part
+++ b/e2e_test/over_window/templates/cross_check.slt.part
@@ -1,40 +1,40 @@
-# result should be empty, which means output in mv_a_b all equal to mv_a and mv_b
+# result should be empty, which means output in v_a_b all equal to v_a and v_b
 query i
 select
     id, out1, out3, out4
-from mv_a_b
+from v_a_b
 except
 select
     id, out1, out3, out4
-from mv_a natural join mv_b;
+from v_a natural join v_b;
 ----
 
 query i
 select
     id, out1, out7, out8, out9
-from mv_a_c
+from v_a_c
 except
 select
     id, out1, out7, out8, out9
-from mv_a natural join mv_c;
+from v_a natural join v_c;
 ----
 
 query i
 select
     id, out3, out4, out7, out8, out9
-from mv_b_c
+from v_b_c
 except
 select
     id, out3, out4, out7, out8, out9
-from mv_b natural join mv_c;
+from v_b natural join v_c;
 ----
 
 query i
 select
     id, out1, out2, out3, out4, out5, out6, out7, out8, out9
-from mv_a_b_c
+from v_a_b_c
 except
 select
     id, out1, out2, out3, out4, out5, out6, out7, out8, out9
-from mv_a natural join mv_b natural join mv_c;
+from v_a natural join v_b natural join v_c;
 ----
diff --git a/e2e_test/over_window/templates/drop.slt.part b/e2e_test/over_window/templates/drop.slt.part
new file mode 100644
index 000000000000..d13e4e90b84d
--- /dev/null
+++ b/e2e_test/over_window/templates/drop.slt.part
@@ -0,0 +1,26 @@
+statement ok
+drop $view_type v_a;
+
+statement ok
+drop $view_type v_b;
+
+statement ok
+drop $view_type v_c;
+
+statement ok
+drop $view_type v_d;
+
+statement ok
+drop $view_type v_a_b;
+
+statement ok
+drop $view_type v_b_c;
+
+statement ok
+drop $view_type v_a_c;
+
+statement ok
+drop $view_type v_a_b_c;
+
+statement ok
+drop table t;
diff --git a/e2e_test/streaming/over_window/over_window/mod.slt.part b/e2e_test/over_window/templates/mod.slt.part
similarity index 89%
rename from e2e_test/streaming/over_window/over_window/mod.slt.part
rename to e2e_test/over_window/templates/mod.slt.part
index 7b674a86ad8f..79998d4d31d2 100644
--- a/e2e_test/streaming/over_window/over_window/mod.slt.part
+++ b/e2e_test/over_window/templates/mod.slt.part
@@ -8,7 +8,7 @@ insert into t values
 , (100004, 103, 200, 2, 702, 808);
 
 query iiiiii
-select * from mv_a order by id;
+select * from v_a order by id;
 ----
 100001  100  200  1  701  805  701
 100002  100  200  2  700  806  701
@@ -16,7 +16,7 @@ select * from mv_a order by id;
 100004  103  200  2  702  808  702
 
 query iiiiiiii
-select * from mv_b order by id;
+select * from v_b order by id;
 ----
 100001  100  200  1  701  805  708   701  700
 100002  100  200  2  700  806  708  1401  700
@@ -24,7 +24,7 @@ select * from mv_b order by id;
 100004  103  200  2  702  808  702   702  702
 
 query iiiiiiiiii
-select * from mv_c order by id;
+select * from v_c order by id;
 ----
 100001  100  200  1  701  805  701  NULL  NULL   806  NULL
 100002  100  200  2  700  806  700   701   701  NULL  NULL
@@ -32,7 +32,7 @@ select * from mv_c order by id;
 100004  103  200  2  702  808  702  NULL  NULL  NULL  NULL
 
 query II
-select * from mv_d order by id;
+select * from v_d order by id;
 ----
 100001  100  200  1  701  805  1  2
 100002  100  200  2  700  806  2  3
@@ -47,7 +47,7 @@ insert into t values
 , (100006, 105, 204, 5, 703, 828);
 
 query iiiiii
-select * from mv_a order by id;
+select * from v_a order by id;
 ----
 100001  100  200  1  701  805  701
 100002  100  200  2  700  806  701
@@ -57,7 +57,7 @@ select * from mv_a order by id;
 100006  105  204  5  703  828  703
 
 query iiiiiiii
-select * from mv_b order by id;
+select * from v_b order by id;
 ----
 100001  100  200  1  701  805  710.25   701  700
 100002  100  200  2  700  806  710.25  1401  700
@@ -67,7 +67,7 @@ select * from mv_b order by id;
 100006  105  204  5  703  828  703      703  703
 
 query iiiiiiiiii
-select * from mv_c order by id;
+select * from v_c order by id;
 ----
 100001  100  200  1  701  805  701  NULL  NULL   806  NULL
 100002  100  200  2  700  806  700   701   701   810   810
@@ -77,7 +77,7 @@ select * from mv_c order by id;
 100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
 
 query II
-select * from mv_d order by id;
+select * from v_d order by id;
 ----
 100001  100  200  1  701  805  1  2
 100002  100  200  2  700  806  2  3
@@ -98,7 +98,7 @@ statement ok
 update t set "time" = 1 where id = 100005; -- order change
 
 query iiiiii
-select * from mv_a order by id;
+select * from v_a order by id;
 ----
 100001  100  200  1  701  805  701
 100002  100  200  2  799  806  701
@@ -108,7 +108,7 @@ select * from mv_a order by id;
 100006  105  204  5  703  828  703
 
 query iiiiiiii
-select * from mv_b order by id;
+select * from v_b order by id;
 ----
 100001  100  200  1  701  805  735   701  701
 100002  100  200  2  799  806  735  2217  723
@@ -118,7 +118,7 @@ select * from mv_b order by id;
 100006  105  204  5  703  828  703   703  703
 
 query iiiiiiiiii
-select * from mv_c order by id;
+select * from v_c order by id;
 ----
 100001  100  200  1  701  805  701  NULL  NULL   810   807
 100002  100  200  2  799  806  799   701   717   807  NULL
@@ -128,7 +128,7 @@ select * from mv_c order by id;
 100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
 
 query II
-select * from mv_d order by id;
+select * from v_d order by id;
 ----
 100001  100  200  1  701  805  1  1
 100002  100  200  2  799  806  3  2
@@ -143,28 +143,28 @@ statement ok
 delete from t where time = 2;
 
 query iiiiii
-select * from mv_a order by id;
+select * from v_a order by id;
 ----
 100001  100  200  1  701  805  701
 100005  100  200  1  717  810  701
 100006  105  204  5  703  828  703
 
 query iiiiiiii
-select * from mv_b order by id;
+select * from v_b order by id;
 ----
 100001  100  200  1  701  805  709   701  701
 100005  100  200  1  717  810  709  1418  717
 100006  105  204  5  703  828  703   703  703
 
 query iiiiiiiiii
-select * from mv_c order by id;
+select * from v_c order by id;
 ----
 100001  100  200  1  701  805  701  NULL  NULL   810  NULL
 100005  100  200  1  717  810  717   701   701  NULL  NULL
 100006  105  204  5  703  828  703  NULL  NULL  NULL  NULL
 
 query II
-select * from mv_d order by id;
+select * from v_d order by id;
 ----
 100001  100  200  1  701  805  1  1
 100005  100  200  1  717  810  2  2
diff --git a/e2e_test/sink/remote/jdbc.check.pg.slt b/e2e_test/sink/remote/jdbc.check.pg.slt
index 908881f284b8..43247e226e58 100644
--- a/e2e_test/sink/remote/jdbc.check.pg.slt
+++ b/e2e_test/sink/remote/jdbc.check.pg.slt
@@ -24,4 +24,12 @@ select * from biz.t_types order by id;
 ----
 1 Varcharvalue1 Textvalue1 123 456 789 12.34 56.78 90.12 t 2023-05-22 12:34:56 2023-05-22 12:34:56 1 day {"key": "value"} {"Value 1","Value 2"} {12.345,56.789}
 2 Varcharvalue2 Textvalue2 234 567 890 23.45 67.89 1.23 f 2023-05-23 23:45:01 2023-05-23 23:45:01 2 days {"key": "value2"} {"Value 3","Value 4"} {43.21,65.432}
-3 Varcharvalue1 Textvalue1 123 456 789 12.34 56.78 90.12 t 2023-05-22 12:34:56 2023-05-22 12:34:56 1 day {"key": "value"} {"How're you?","\"hello\\ \\world\""} {12.345,56.789}
\ No newline at end of file
+3 Varcharvalue1 Textvalue1 123 456 789 12.34 56.78 90.12 t 2023-05-22 12:34:56 2023-05-22 12:34:56 1 day {"key": "value"} {"How're you?","\"hello\\ \\world\""} {12.345,56.789}
+
+
+query IT
+select * from t_append_only order by v1, v2;
+----
+1 aaa
+1 bbb
+2 ccc
diff --git a/e2e_test/sink/remote/jdbc.load.slt b/e2e_test/sink/remote/jdbc.load.slt
index 5cc09479924c..3fae0cf72ef1 100644
--- a/e2e_test/sink/remote/jdbc.load.slt
+++ b/e2e_test/sink/remote/jdbc.load.slt
@@ -108,6 +108,27 @@ CREATE SINK s2_mysql FROM rw_types WITH (
     type='upsert'
 );
 
+statement ok
+CREATE TABLE tt1 (
+    v1 BIGINT,
+    v2 VARCHAR,
+);
+
+statement ok
+CREATE SINK s_pg_0 FROM tt1 WITH (
+    connector='jdbc',
+    jdbc.url='jdbc:postgresql://db:5432/test?user=test&password=connector',
+    table.name='t_append_only',
+    type='append-only',
+    force_append_only=true
+);
+
+statement ok
+INSERT INTO tt1 VALUES
+    (1, 'aaa'),
+    (1, 'bbb'),
+    (2, 'ccc');
+
 statement ok
 INSERT INTO t_remote_0 VALUES
     (1, 'Alice', 28208, 281620391, 4986480304337356659, 28162.0391, 2.03, 28162.0391, '2023-03-20 10:18:30'),
diff --git a/e2e_test/sink/remote/pg_create_table.sql b/e2e_test/sink/remote/pg_create_table.sql
index c9609f51de6a..c91792bb5c5d 100644
--- a/e2e_test/sink/remote/pg_create_table.sql
+++ b/e2e_test/sink/remote/pg_create_table.sql
@@ -1,3 +1,8 @@
+CREATE TABLE t_append_only (
+   v1 BIGINT,
+   v2 VARCHAR(100)
+);
+
 CREATE TABLE t_remote_0 (
     id integer PRIMARY KEY,
     v_varchar varchar(100),
@@ -30,7 +35,6 @@ CREATE TABLE t_remote_1 (
     v_bytea BYTEA
 );
 
-
 CREATE TABLE t_types (
     id BIGINT PRIMARY KEY,
     varchar_column VARCHAR(100),
@@ -46,7 +50,7 @@ CREATE TABLE t_types (
     time_column TIME,
     timestamp_column TIMESTAMP,
     interval_column INTERVAL,
-    jsonb_column JSONB,
+    jsonb_column JSONB
 );
 
 CREATE SCHEMA biz;
diff --git a/e2e_test/streaming/over_window/over_window b/e2e_test/streaming/over_window/over_window
new file mode 120000
index 000000000000..2efb728950ba
--- /dev/null
+++ b/e2e_test/streaming/over_window/over_window
@@ -0,0 +1 @@
+../../over_window/generated/streaming
\ No newline at end of file
diff --git a/e2e_test/streaming/over_window/over_window/drop.slt.part b/e2e_test/streaming/over_window/over_window/drop.slt.part
deleted file mode 100644
index 427779fa20ad..000000000000
--- a/e2e_test/streaming/over_window/over_window/drop.slt.part
+++ /dev/null
@@ -1,26 +0,0 @@
-statement ok
-drop materialized view mv_a;
-
-statement ok
-drop materialized view mv_b;
-
-statement ok
-drop materialized view mv_c;
-
-statement ok
-drop materialized view mv_d;
-
-statement ok
-drop materialized view mv_a_b;
-
-statement ok
-drop materialized view mv_b_c;
-
-statement ok
-drop materialized view mv_a_c;
-
-statement ok
-drop materialized view mv_a_b_c;
-
-statement ok
-drop table t;
diff --git a/grafana/risingwave-dev-dashboard.dashboard.py b/grafana/risingwave-dev-dashboard.dashboard.py
index 0f7a714c86a1..19013bb54edf 100644
--- a/grafana/risingwave-dev-dashboard.dashboard.py
+++ b/grafana/risingwave-dev-dashboard.dashboard.py
@@ -26,10 +26,9 @@ def section_actor_info(panels):
         panels.table_info("Actor Id Info",
                           "Mapping from actor id to fragment id",
                           [panels.table_target(f"{metric('actor_info')}")], excluded_cols),
-        panels.table_info("Table Id Info",
-                          "Mapping from table id to actor id and table name",
-                          [panels.table_target(f"{metric('table_info')}")], excluded_cols),
-
+        panels.table_info("Materialized View Info",
+                          "Mapping from materialized view table id to it's internal table ids",
+                           [panels.table_target(f"{metric('materialized_info')}")], excluded_cols),
     ]
 
 
@@ -2182,6 +2181,7 @@ def section_hummock_manager(outer_panels):
     total_key_size_filter = "metric='total_key_size'"
     total_value_size_filter = "metric='total_value_size'"
     total_key_count_filter = "metric='total_key_count'"
+    mv_total_size_filter = "metric='materialized_view_total_size'"
     return [
         outer_panels.row_collapsed(
             "Hummock Manager",
@@ -2249,7 +2249,7 @@ def section_hummock_manager(outer_panels):
                     ],
                 ),
                 panels.timeseries_kilobytes(
-                    "Table KV Size",
+                    "Table Size",
                     "",
                     [
                         panels.target(f"{table_metric('storage_version_stats', total_key_size_filter)}/1024",
@@ -2258,6 +2258,17 @@ def section_hummock_manager(outer_panels):
                                       "table{{table_id}} {{metric}}"),
                     ],
                 ),
+
+                panels.timeseries_kilobytes(
+                    "Materialized View Size",
+                    "",
+                    [
+                        panels.target(f"{table_metric('storage_materialized_view_stats', mv_total_size_filter)}/1024",
+                                      "{{metric}}, mv id - {{table_id}} "),
+                    ],
+                ),
+
+        
                 panels.timeseries_count(
                     "Table KV Count",
                     "",
diff --git a/grafana/risingwave-dev-dashboard.json b/grafana/risingwave-dev-dashboard.json
index 84c3fbed6fb0..9d880b844239 100644
--- a/grafana/risingwave-dev-dashboard.json
+++ b/grafana/risingwave-dev-dashboard.json
@@ -1 +1 @@
-{"__inputs":[],"annotations":{"list":[]},"description":"RisingWave Dev Dashboard","editable":true,"gnetId":null,"graphTooltip":0,"hideControls":false,"id":null,"links":[],"panels":[{"cacheTimeout":null,"collapsed":false,"datasource":null,"description":null,"editable":true,"error":false,"fieldConfig":{"defaults":{"thresholds":{"mode":"absolute","steps":[]}}},"gridPos":{"h":1,"w":24,"x":0,"y":0},"height":null,"hideTimeOverride":false,"id":1,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"panels":[],"repeat":null,"repeatDirection":null,"span":null,"targets":[],"timeFrom":null,"timeShift":null,"title":"Actor/Table Id Info","transformations":[],"transparent":false,"type":"row"},{"cacheTimeout":null,"color":{"mode":"thresholds"},"columns":[],"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"Mapping from actor id to fragment id","editable":true,"error":false,"fieldConfig":{"defaults":{"custom":{"align":"auto","displayMode":"auto","filterable":true},"thresholds":{"mode":"absolute","steps":[]}},"overrides":[]},"fontSize":"100%","gridPos":{"h":8,"w":12,"x":0,"y":1},"height":null,"hideTimeOverride":false,"id":2,"interval":null,"links":[],"mappings":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"options":{"showHeader":true},"repeat":null,"repeatDirection":null,"span":6,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"actor_info{job=~\"$job\",instance=~\"$node\"}","format":"table","hide":false,"instant":true,"interval":"","intervalFactor":2,"legendFormat":"","metric":"","query":"actor_info{job=~\"$job\",instance=~\"$node\"}","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Actor Id Info","transformations":[{"id":"organize","options":{"excludeByName":{"Time":true,"Value":true,"__name__":true,"instance":true,"job":true}}}],"transparent":false,"type":"table"},{"cacheTimeout":null,"color":{"mode":"thresholds"},"columns":[],"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"Mapping from table id to actor id and table name","editable":true,"error":false,"fieldConfig":{"defaults":{"custom":{"align":"auto","displayMode":"auto","filterable":true},"thresholds":{"mode":"absolute","steps":[]}},"overrides":[]},"fontSize":"100%","gridPos":{"h":8,"w":12,"x":12,"y":1},"height":null,"hideTimeOverride":false,"id":3,"interval":null,"links":[],"mappings":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"options":{"showHeader":true},"repeat":null,"repeatDirection":null,"span":6,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"table_info{job=~\"$job\",instance=~\"$node\"}","format":"table","hide":false,"instant":true,"interval":"","intervalFactor":2,"legendFormat":"","metric":"","query":"table_info{job=~\"$job\",instance=~\"$node\"}","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Table Id Info","transformations":[{"id":"organize","options":{"excludeByName":{"Time":true,"Value":true,"__name__":true,"instance":true,"job":true}}}],"transparent":false,"type":"table"},{"cacheTimeout":null,"collapsed":false,"datasource":null,"description":null,"editable":true,"error":false,"fieldConfig":{"defaults":{"thresholds":{"mode":"absolute","steps":[]}}},"gridPos":{"h":1,"w":24,"x":0,"y":9},"height":null,"hideTimeOverride":false,"id":4,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"panels":[],"repeat":null,"repeatDirection":null,"span":null,"targets":[],"timeFrom":null,"timeShift":null,"title":"Cluster Node","transformations":[],"transparent":false,"type":"row"},{"cacheTimeout":null,"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"The number of each type of RisingWave components alive.","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":""},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":10},"height":null,"hideTimeOverride":false,"id":5,"interval":"1s","links":[],"maxDataPoints":1000,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["last"],"displayMode":"table","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"sum(worker_num{job=~\"$job\",instance=~\"$node\"}) by (worker_type)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"{{worker_type}}","metric":"","query":"sum(worker_num{job=~\"$job\",instance=~\"$node\"}) by (worker_type)","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Node Count","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"description":"The memory usage of each RisingWave component.","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"bytes"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":12,"y":10},"height":null,"hideTimeOverride":false,"id":6,"interval":"1s","links":[],"maxDataPoints":1000,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":[],"displayMode":"table","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"avg(process_resident_memory_bytes{job=~\"$job\",instance=~\"$node\"}) 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diff --git a/grafana/risingwave-user-dashboard.dashboard.py b/grafana/risingwave-user-dashboard.dashboard.py
index b9edea08fe17..3cc0759cd796 100644
--- a/grafana/risingwave-user-dashboard.dashboard.py
+++ b/grafana/risingwave-user-dashboard.dashboard.py
@@ -39,10 +39,10 @@ def section_actor_info(panels):
             excluded_cols,
         ),
         panels.table_info(
-            "Table Id Info",
-            "Mapping from table id to actor id and table name",
-            [panels.table_target(f"{metric('table_info')}")],
-            excluded_cols,
+            "Materialized View Info",
+            "Mapping from materialized view table id to it's internal table ids",
+            [panels.table_target(f"{metric('materialized_info')}")],
+            excluded_cols
         ),
     ]
 
@@ -492,6 +492,7 @@ def section_network(outer_panels):
 
 def section_storage(outer_panels):
     panels = outer_panels.sub_panel()
+    mv_total_size_filter = "metric='materialized_view_total_size'"
     return [
         outer_panels.row_collapsed(
             "Storage",
@@ -519,6 +520,14 @@ def section_storage(outer_panels):
                         ),
                     ],
                 ),
+                panels.timeseries_kilobytes(
+                    "Materialized View Size",
+                    "The storage size of each materialized view",
+                    [
+                        panels.target(f"{metric('storage_materialized_view_stats', mv_total_size_filter)}/1024",
+                                      "{{metric}}, mv id - {{table_id}} "),
+                    ],
+                ),
                 panels.timeseries_count(
                     "Object Total Number",
                     """
diff --git a/grafana/risingwave-user-dashboard.json b/grafana/risingwave-user-dashboard.json
index 14738a36b868..b74c4c2b4d7f 100644
--- a/grafana/risingwave-user-dashboard.json
+++ b/grafana/risingwave-user-dashboard.json
@@ -1 +1 @@
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instance)","refId":"StandardVariableQuery"},"refresh":2,"regex":"","skipUrlSync":false,"sort":6,"type":"query"},{"current":{"selected":false,"text":"All","value":"__all"},"definition":"label_values(process_cpu_seconds_total, job)","description":"Reporting job of the metric","hide":0,"includeAll":true,"label":"Job","multi":true,"name":"job","options":[],"query":{"query":"label_values(process_cpu_seconds_total, job)","refId":"StandardVariableQuery"},"refresh":2,"regex":"","skipUrlSync":false,"sort":6,"type":"query"}]},"time":{"from":"now-30m","to":"now"},"timepicker":{"hidden":false,"refresh_intervals":["5s","10s","30s","1m","5m","15m","30m","1h","2h","1d"],"time_options":["5m","15m","1h","6h","12h","24h","2d","7d","30d"]},"timezone":"browser","title":"risingwave_dashboard","uid":"Fcy3uV1nz","version":0}
diff --git a/integration_tests/twitter-pulsar/pb/create_mv.sql b/integration_tests/twitter-pulsar/pb/create_mv.sql
new file mode 100644
index 000000000000..c08722bacdbb
--- /dev/null
+++ b/integration_tests/twitter-pulsar/pb/create_mv.sql
@@ -0,0 +1,21 @@
+--
+-- Find the top10 hotest hashtags.
+--
+CREATE MATERIALIZED VIEW hot_hashtags AS WITH tags AS (
+    SELECT
+        unnest(regexp_matches((data).text, '#\w+', 'g')) AS hashtag,
+        (data).created_at :: timestamp AS created_at
+    FROM
+        twitter
+)
+SELECT
+    hashtag,
+    COUNT(*) AS hashtag_occurrences,
+    window_start
+FROM
+    TUMBLE(tags, created_at, INTERVAL '1 day')
+GROUP BY
+    hashtag,
+    window_start
+ORDER BY
+    hashtag_occurrences;
\ No newline at end of file
diff --git a/integration_tests/twitter-pulsar/pb/create_source.sql b/integration_tests/twitter-pulsar/pb/create_source.sql
new file mode 100644
index 000000000000..bf41939b40d9
--- /dev/null
+++ b/integration_tests/twitter-pulsar/pb/create_source.sql
@@ -0,0 +1,5 @@
+CREATE SOURCE twitter WITH (
+    connector = 'pulsar',
+    pulsar.topic = 'twitter',
+    pulsar.service.url = 'pulsar://message_queue:6650'
+) ROW FORMAT PROTOBUF MESSAGE 'twitter.schema.Event' ROW SCHEMA LOCATION 'http://file_server:8080/schema';
\ No newline at end of file
diff --git a/integration_tests/twitter-pulsar/schema b/integration_tests/twitter-pulsar/schema
new file mode 100644
index 000000000000..e4c57548e9a3
--- /dev/null
+++ b/integration_tests/twitter-pulsar/schema
@@ -0,0 +1,19 @@
+
+‰
+
twitter.prototwitter.schema"d
+Event-
+data
 
(2.twitter.schema.TweetDataRdata,
+author 
(2.twitter.schema.UserRauthor"b
+	TweetData
+id
 
(	Rid
+text 
(	Rtext
+lang 
(	Rlang
+
+created_at 
(	R	createdAt"„

+User
+id
 
(	Rid
+name 
(	Rname
+	user_name 
(	RuserName
+
+created_at 
(	R	createdAt
+	followers 
(R	followersBZ
twitter/protobproto3
\ No newline at end of file
diff --git a/integration_tests/twitter-pulsar/twitter.proto b/integration_tests/twitter-pulsar/twitter.proto
new file mode 100644
index 000000000000..14df4a932c71
--- /dev/null
+++ b/integration_tests/twitter-pulsar/twitter.proto
@@ -0,0 +1,24 @@
+syntax = "proto3";
+
+package twitter.schema;
+option go_package = "twitter/proto";
+
+message Event {
+  TweetData data = 1;
+  User author = 2;
+}
+
+message TweetData {
+  string id = 1;
+  string text = 2;
+  string lang = 3;
+  string created_at = 4;
+}
+
+message User {
+  string id = 1;
+  string name = 2;
+  string user_name = 3;
+  string created_at = 4;
+  int64 followers = 5;
+}
diff --git a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/JDBCSink.java b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/JDBCSink.java
index 2830fa8c7fb1..57fc1c9e4fff 100644
--- a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/JDBCSink.java
+++ b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/JDBCSink.java
@@ -37,7 +37,8 @@ public class JDBCSink extends SinkBase {
     private final List<String> pkColumnNames;
     public static final String JDBC_COLUMN_NAME_KEY = "COLUMN_NAME";
 
-    private final PreparedStatement upsertPreparedStmt;
+    private PreparedStatement insertPreparedStmt;
+    private PreparedStatement upsertPreparedStmt;
     private PreparedStatement deletePreparedStmt;
 
     private boolean updateFlag = false;
@@ -72,18 +73,30 @@ public JDBCSink(JDBCSinkConfig config, TableSchema tableSchema) {
             var schemaTableName =
                     jdbcDialect.createSchemaTableName(
                             config.getSchemaName(), config.getTableName());
-            var upsertSql =
-                    jdbcDialect.getUpsertStatement(
-                            schemaTableName, List.of(tableSchema.getColumnNames()), pkColumnNames);
-            // MySQL and Postgres have upsert SQL
-            assert (upsertSql.isPresent());
-            this.upsertPreparedStmt =
-                    conn.prepareStatement(upsertSql.get(), Statement.RETURN_GENERATED_KEYS);
-            // upsert sink will handle DELETE events
             if (config.isUpsertSink()) {
+                var upsertSql =
+                        jdbcDialect.getUpsertStatement(
+                                schemaTableName,
+                                List.of(tableSchema.getColumnNames()),
+                                pkColumnNames);
+                // MySQL and Postgres have upsert SQL
+                if (upsertSql.isEmpty()) {
+                    throw Status.FAILED_PRECONDITION
+                            .withDescription("Failed to get upsert SQL")
+                            .asRuntimeException();
+                }
+                this.upsertPreparedStmt =
+                        conn.prepareStatement(upsertSql.get(), Statement.RETURN_GENERATED_KEYS);
+                // upsert sink will handle DELETE events
                 var deleteSql = jdbcDialect.getDeleteStatement(schemaTableName, pkColumnNames);
                 this.deletePreparedStmt =
                         conn.prepareStatement(deleteSql, Statement.RETURN_GENERATED_KEYS);
+            } else {
+                var insertSql =
+                        jdbcDialect.getInsertIntoStatement(
+                                schemaTableName, List.of(tableSchema.getColumnNames()));
+                this.insertPreparedStmt =
+                        conn.prepareStatement(insertSql, Statement.RETURN_GENERATED_KEYS);
             }
         } catch (SQLException e) {
             throw Status.INTERNAL
@@ -111,23 +124,41 @@ private static List<String> getPkColumnNames(
         return pkColumnNames;
     }
 
+    private PreparedStatement prepareInsertStatement(SinkRow row) {
+        if (row.getOp() != Data.Op.INSERT) {
+            throw Status.FAILED_PRECONDITION
+                    .withDescription("unexpected op type: " + row.getOp())
+                    .asRuntimeException();
+        }
+        try {
+            var preparedStmt = insertPreparedStmt;
+            jdbcDialect.bindInsertIntoStatement(preparedStmt, conn, getTableSchema(), row);
+            return preparedStmt;
+        } catch (SQLException e) {
+            throw io.grpc.Status.INTERNAL
+                    .withDescription(
+                            String.format(ERROR_REPORT_TEMPLATE, e.getSQLState(), e.getMessage()))
+                    .withCause(e)
+                    .asRuntimeException();
+        }
+    }
+
     private PreparedStatement prepareUpsertStatement(SinkRow row) {
         try {
+            var preparedStmt = upsertPreparedStmt;
             switch (row.getOp()) {
                 case INSERT:
-                    jdbcDialect.bindUpsertStatement(
-                            upsertPreparedStmt, conn, getTableSchema(), row);
-                    return upsertPreparedStmt;
+                    jdbcDialect.bindUpsertStatement(preparedStmt, conn, getTableSchema(), row);
+                    return preparedStmt;
                 case UPDATE_INSERT:
                     if (!updateFlag) {
                         throw Status.FAILED_PRECONDITION
                                 .withDescription("an UPDATE_DELETE should precede an UPDATE_INSERT")
                                 .asRuntimeException();
                     }
-                    jdbcDialect.bindUpsertStatement(
-                            upsertPreparedStmt, conn, getTableSchema(), row);
+                    jdbcDialect.bindUpsertStatement(preparedStmt, conn, getTableSchema(), row);
                     updateFlag = false;
-                    return upsertPreparedStmt;
+                    return preparedStmt;
                 default:
                     throw Status.FAILED_PRECONDITION
                             .withDescription("unexpected op type: " + row.getOp())
@@ -143,7 +174,6 @@ private PreparedStatement prepareUpsertStatement(SinkRow row) {
     }
 
     private PreparedStatement prepareDeleteStatement(SinkRow row) {
-        assert row.getOp() == Data.Op.DELETE;
         if (!config.isUpsertSink()) {
             throw Status.FAILED_PRECONDITION
                     .withDescription("Non-upsert sink cannot handle DELETE event")
@@ -181,10 +211,10 @@ public void write(Iterator<SinkRow> rows) {
                     continue;
                 }
 
-                if (row.getOp() == Data.Op.DELETE) {
-                    stmt = prepareDeleteStatement(row);
+                if (config.isUpsertSink()) {
+                    stmt = prepareForUpsert(row);
                 } else {
-                    stmt = prepareUpsertStatement(row);
+                    stmt = prepareForAppendOnly(row);
                 }
 
                 try {
@@ -203,6 +233,20 @@ public void write(Iterator<SinkRow> rows) {
         }
     }
 
+    private PreparedStatement prepareForUpsert(SinkRow row) {
+        PreparedStatement stmt;
+        if (row.getOp() == Data.Op.DELETE) {
+            stmt = prepareDeleteStatement(row);
+        } else {
+            stmt = prepareUpsertStatement(row);
+        }
+        return stmt;
+    }
+
+    private PreparedStatement prepareForAppendOnly(SinkRow row) {
+        return prepareInsertStatement(row);
+    }
+
     @Override
     public void sync() {
         if (updateFlag) {
diff --git a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/JdbcDialect.java b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/JdbcDialect.java
index d3cd81522c04..4db146b4dd6b 100644
--- a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/JdbcDialect.java
+++ b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/JdbcDialect.java
@@ -61,10 +61,6 @@ public interface JdbcDialect {
     Optional<String> getUpsertStatement(
             SchemaTableName schemaTableName, List<String> fieldNames, List<String> uniqueKeyFields);
 
-    void bindUpsertStatement(
-            PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
-            throws SQLException;
-
     /**
      * Generates a string that will be used as a {@link java.sql.PreparedStatement} to insert a row
      * into a database table. Fields in the statement must be in the same order as the {@code
@@ -106,4 +102,12 @@ default String getDeleteStatement(
                 + " WHERE "
                 + conditionClause;
     }
+
+    void bindUpsertStatement(
+            PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
+            throws SQLException;
+
+    void bindInsertIntoStatement(
+            PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
+            throws SQLException;
 }
diff --git a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/MySqlDialect.java b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/MySqlDialect.java
index b8c7458a71bf..19a26be05fc1 100644
--- a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/MySqlDialect.java
+++ b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/MySqlDialect.java
@@ -60,6 +60,13 @@ public Optional<String> getUpsertStatement(
     public void bindUpsertStatement(
             PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
             throws SQLException {
+        bindInsertIntoStatement(stmt, conn, tableSchema, row);
+    }
+
+    @Override
+    public void bindInsertIntoStatement(
+            PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
+            throws SQLException {
         var columnDescs = tableSchema.getColumnDescs();
         int placeholderIdx = 1;
         for (int i = 0; i < row.size(); i++) {
diff --git a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/PostgresDialect.java b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/PostgresDialect.java
index ec4d7af07f3b..8d1d0493d646 100644
--- a/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/PostgresDialect.java
+++ b/java/connector-node/risingwave-sink-jdbc/src/main/java/com/risingwave/connector/jdbc/PostgresDialect.java
@@ -74,6 +74,13 @@ public Optional<String> getUpsertStatement(
     public void bindUpsertStatement(
             PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
             throws SQLException {
+        bindInsertIntoStatement(stmt, conn, tableSchema, row);
+    }
+
+    @Override
+    public void bindInsertIntoStatement(
+            PreparedStatement stmt, Connection conn, TableSchema tableSchema, SinkRow row)
+            throws SQLException {
         var columnDescs = tableSchema.getColumnDescs();
         int placeholderIdx = 1;
         for (int i = 0; i < row.size(); i++) {
diff --git a/java/pom.xml b/java/pom.xml
index 41175eafec64..1162c249e95a 100644
--- a/java/pom.xml
+++ b/java/pom.xml
@@ -31,7 +31,7 @@
         <maven.compiler.target>11</maven.compiler.target>
         <release.version>1.0.0</release.version>
         <protobuf.version>3.21.1</protobuf.version>
-        <grpc.version>1.49.0</grpc.version>
+        <grpc.version>1.53.0</grpc.version>
         <gson.version>2.10</gson.version>
         <module.version>1.0-SNAPSHOT</module.version>
         <spotless.version>2.27.1</spotless.version>
diff --git a/proto/batch_plan.proto b/proto/batch_plan.proto
index 97075bee2033..2d1ae884cebb 100644
--- a/proto/batch_plan.proto
+++ b/proto/batch_plan.proto
@@ -275,6 +275,11 @@ message DistributedLookupJoinNode {
 
 message UnionNode {}
 
+message SortOverWindowNode {
+  repeated expr.WindowFunction calls = 1;
+  repeated uint32 partition_by = 2;
+}
+
 message PlanNode {
   repeated PlanNode children = 1;
   reserved 22;
@@ -306,6 +311,7 @@ message PlanNode {
     GroupTopNNode group_top_n = 32;
     DistributedLookupJoinNode distributed_lookup_join = 33;
     SourceNode source = 34;
+    SortOverWindowNode sort_over_window = 37;
     // The following nodes are used for testing.
     bool block_executor = 35;
     bool busy_loop_executor = 36;
diff --git a/proto/meta.proto b/proto/meta.proto
index 9a288244d76d..daa9a61ded79 100644
--- a/proto/meta.proto
+++ b/proto/meta.proto
@@ -184,6 +184,7 @@ message ListFragmentDistributionResponse {
     TableFragments.Fragment.FragmentDistributionType distribution_type = 3;
     repeated uint32 state_table_ids = 4;
     repeated uint32 upstream_fragment_ids = 5;
+    uint32 fragment_type_mask = 6;
   }
   repeated FragmentDistribution distributions = 1;
 }
diff --git a/proto/stream_plan.proto b/proto/stream_plan.proto
index b46716356e94..f6997016036b 100644
--- a/proto/stream_plan.proto
+++ b/proto/stream_plan.proto
@@ -160,6 +160,8 @@ message SinkDesc {
 
 message SinkNode {
   SinkDesc sink_desc = 1;
+  // A sink with a kv log store should have a table.
+  catalog.Table table = 2;
 }
 
 message ProjectNode {
diff --git a/src/batch/src/executor/mod.rs b/src/batch/src/executor/mod.rs
index e4d50e4c46c8..9f2510d130c1 100644
--- a/src/batch/src/executor/mod.rs
+++ b/src/batch/src/executor/mod.rs
@@ -29,6 +29,7 @@ mod project;
 mod project_set;
 mod row_seq_scan;
 mod sort_agg;
+mod sort_over_window;
 mod source;
 mod sys_row_seq_scan;
 mod table_function;
@@ -64,6 +65,7 @@ use risingwave_pb::batch_plan::PlanNode;
 use risingwave_pb::common::BatchQueryEpoch;
 pub use row_seq_scan::*;
 pub use sort_agg::*;
+pub use sort_over_window::SortOverWindowExecutor;
 pub use source::*;
 pub use table_function::*;
 pub use top_n::TopNExecutor;
@@ -223,6 +225,7 @@ impl<'a, C: BatchTaskContext> ExecutorBuilder<'a, C> {
             NodeBody::ProjectSet => ProjectSetExecutor,
             NodeBody::Union => UnionExecutor,
             NodeBody::Source => SourceExecutor,
+            NodeBody::SortOverWindow => SortOverWindowExecutor,
             // Follow NodeBody only used for test
             NodeBody::BlockExecutor => BlockExecutorBuidler,
             NodeBody::BusyLoopExecutor => BusyLoopExecutorBuidler,
diff --git a/src/batch/src/executor/sort_over_window.rs b/src/batch/src/executor/sort_over_window.rs
new file mode 100644
index 000000000000..533b5e6a6782
--- /dev/null
+++ b/src/batch/src/executor/sort_over_window.rs
@@ -0,0 +1,201 @@
+// Copyright 2023 RisingWave Labs
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use futures_async_stream::try_stream;
+use risingwave_common::array::DataChunk;
+use risingwave_common::catalog::{Field, Schema};
+use risingwave_common::error::{Result, RwError};
+use risingwave_common::row::{OwnedRow, Row, RowExt};
+use risingwave_common::util::chunk_coalesce::DataChunkBuilder;
+use risingwave_common::util::iter_util::ZipEqFast;
+use risingwave_expr::function::window::WindowFuncCall;
+use risingwave_expr::window_function::{create_window_state, StateKey, WindowStates};
+use risingwave_pb::batch_plan::plan_node::NodeBody;
+
+use super::{BoxedDataChunkStream, BoxedExecutor, BoxedExecutorBuilder, Executor, ExecutorBuilder};
+use crate::task::{BatchTaskContext, ShutdownToken};
+
+/// [`SortOverWindowExecutor`] accepts input chunks sorted by partition key and order key, and
+/// outputs chunks with window function result columns.
+pub struct SortOverWindowExecutor {
+    child: BoxedExecutor,
+    schema: Schema,
+    identity: String,
+    shutdown_rx: ShutdownToken,
+
+    inner: ExecutorInner,
+}
+
+struct ExecutorInner {
+    calls: Vec<WindowFuncCall>,
+    partition_key_indices: Vec<usize>,
+    chunk_size: usize,
+}
+
+#[async_trait::async_trait]
+impl BoxedExecutorBuilder for SortOverWindowExecutor {
+    async fn new_boxed_executor<C: BatchTaskContext>(
+        source: &ExecutorBuilder<'_, C>,
+        inputs: Vec<BoxedExecutor>,
+    ) -> Result<BoxedExecutor> {
+        let [child]: [_; 1] = inputs.try_into().unwrap();
+
+        let node = try_match_expand!(
+            source.plan_node().get_node_body()?,
+            NodeBody::SortOverWindow
+        )?;
+
+        let calls: Vec<_> = node
+            .get_calls()
+            .iter()
+            .map(WindowFuncCall::from_protobuf)
+            .try_collect()?;
+        let partition_key_indices = node
+            .get_partition_by()
+            .iter()
+            .map(|i| *i as usize)
+            .collect();
+
+        let mut schema = child.schema().clone();
+        calls.iter().for_each(|call| {
+            schema.fields.push(Field::unnamed(call.return_type.clone()));
+        });
+
+        Ok(Box::new(Self {
+            child,
+            schema,
+            identity: source.plan_node().get_identity().clone(),
+            shutdown_rx: source.shutdown_rx.clone(),
+
+            inner: ExecutorInner {
+                calls,
+                partition_key_indices,
+                chunk_size: source.context.get_config().developer.chunk_size,
+            },
+        }))
+    }
+}
+
+impl Executor for SortOverWindowExecutor {
+    fn schema(&self) -> &Schema {
+        &self.schema
+    }
+
+    fn identity(&self) -> &str {
+        &self.identity
+    }
+
+    fn execute(self: Box<Self>) -> BoxedDataChunkStream {
+        self.do_execute()
+    }
+}
+
+impl ExecutorInner {
+    fn get_partition_key(&self, full_row: impl Row) -> OwnedRow {
+        full_row
+            .project(&self.partition_key_indices)
+            .into_owned_row()
+    }
+}
+
+fn state_key_placeholder() -> StateKey {
+    StateKey {
+        order_key: vec![].into(),
+        pk: OwnedRow::empty().into(),
+    }
+}
+
+impl SortOverWindowExecutor {
+    #[try_stream(boxed, ok = DataChunk, error = RwError)]
+    async fn do_execute(self: Box<Self>) {
+        let Self {
+            child,
+            schema,
+            shutdown_rx,
+            inner: this,
+            ..
+        } = *self;
+
+        let mut chunk_builder = DataChunkBuilder::new(schema.data_types(), this.chunk_size);
+        let mut curr_part_key = None;
+        let mut curr_part_rows: Vec<OwnedRow> = Vec::new();
+
+        #[for_await]
+        for chunk in child.execute() {
+            shutdown_rx.check()?;
+
+            let chunk = chunk?;
+            for row in chunk.rows() {
+                let part_key = this.get_partition_key(row);
+                if Some(&part_key) != curr_part_key.as_ref() {
+                    if !curr_part_rows.is_empty() {
+                        #[for_await]
+                        for output_chunk in Self::gen_output_for_partition(
+                            &this,
+                            &mut curr_part_rows,
+                            &mut chunk_builder,
+                        ) {
+                            yield output_chunk?;
+                        }
+                        assert!(curr_part_rows.is_empty(), "all rows should be consumed");
+                    }
+                    curr_part_key = Some(part_key);
+                }
+                curr_part_rows.push(row.to_owned_row());
+            }
+        }
+        if !curr_part_rows.is_empty() {
+            #[for_await]
+            for output_chunk in
+                Self::gen_output_for_partition(&this, &mut curr_part_rows, &mut chunk_builder)
+            {
+                yield output_chunk?;
+            }
+            assert!(curr_part_rows.is_empty(), "all rows should be consumed");
+        }
+        if let Some(output_chunk) = chunk_builder.consume_all() {
+            yield output_chunk;
+        }
+    }
+
+    #[try_stream(boxed, ok = DataChunk, error = RwError)]
+    async fn gen_output_for_partition<'a>(
+        this: &'a ExecutorInner,
+        rows: &'a mut Vec<OwnedRow>,
+        chunk_builder: &'a mut DataChunkBuilder,
+    ) {
+        let mut states =
+            WindowStates::new(this.calls.iter().map(create_window_state).try_collect()?);
+        for row in rows.iter() {
+            for (call, state) in this.calls.iter().zip_eq_fast(states.iter_mut()) {
+                // TODO(rc): batch appending
+                state.append(
+                    state_key_placeholder(), // we don't rely on the state key in `WindowStates`
+                    row.project(call.args.val_indices())
+                        .into_owned_row()
+                        .as_inner()
+                        .into(),
+                );
+            }
+        }
+        for row in rows.drain(..) {
+            if let Some(chunk) =
+                chunk_builder.append_one_row(row.chain(OwnedRow::new(states.curr_output()?)))
+            {
+                yield chunk;
+            }
+            states.just_slide_forward();
+        }
+    }
+}
diff --git a/src/common/src/array/arrow.rs b/src/common/src/array/arrow.rs
index 8d3e6350e03d..9905c8b79ce2 100644
--- a/src/common/src/array/arrow.rs
+++ b/src/common/src/array/arrow.rs
@@ -16,7 +16,8 @@
 
 use std::fmt::Write;
 
-use arrow_schema::{Field, DECIMAL256_MAX_PRECISION};
+use arrow_array::Array as ArrowArray;
+use arrow_schema::{Field, Schema, DECIMAL256_MAX_PRECISION};
 use chrono::{NaiveDateTime, NaiveTime};
 use itertools::Itertools;
 
@@ -26,15 +27,29 @@ use crate::util::iter_util::ZipEqDebug;
 
 // Implement bi-directional `From` between `DataChunk` and `arrow_array::RecordBatch`.
 
-impl From<&DataChunk> for arrow_array::RecordBatch {
-    fn from(chunk: &DataChunk) -> Self {
-        arrow_array::RecordBatch::try_from_iter(
-            chunk
-                .columns()
-                .iter()
-                .map(|column| ("", column.as_ref().into())),
-        )
-        .unwrap()
+impl TryFrom<&DataChunk> for arrow_array::RecordBatch {
+    type Error = ArrayError;
+
+    fn try_from(chunk: &DataChunk) -> Result<Self, Self::Error> {
+        let columns: Vec<_> = chunk
+            .columns()
+            .iter()
+            .map(|column| column.as_ref().try_into())
+            .try_collect::<_, _, Self::Error>()?;
+
+        let fields: Vec<_> = columns
+            .iter()
+            .map(|array: &Arc<dyn ArrowArray>| {
+                let nullable = array.null_count() > 0;
+                let data_type = array.data_type().clone();
+                Field::new("", data_type, nullable)
+            })
+            .collect();
+
+        let schema = Arc::new(Schema::new(fields));
+
+        arrow_array::RecordBatch::try_new(schema, columns)
+            .map_err(|err| ArrayError::ToArrow(err.to_string()))
     }
 }
 
@@ -55,10 +70,11 @@ impl TryFrom<&arrow_array::RecordBatch> for DataChunk {
 macro_rules! converts_generic {
     ($({ $ArrowType:ty, $ArrowPattern:pat, $ArrayImplPattern:path }),*) => {
         // RisingWave array -> Arrow array
-        impl From<&ArrayImpl> for arrow_array::ArrayRef {
-            fn from(array: &ArrayImpl) -> Self {
+        impl TryFrom<&ArrayImpl> for arrow_array::ArrayRef {
+            type Error = ArrayError;
+            fn try_from(array: &ArrayImpl) -> Result<Self, Self::Error> {
                 match array {
-                    $($ArrayImplPattern(a) => Arc::new(<$ArrowType>::from(a)),)*
+                    $($ArrayImplPattern(a) => Ok(Arc::new(<$ArrowType>::try_from(a)?)),)*
                     _ => todo!("unsupported array"),
                 }
             }
@@ -152,44 +168,51 @@ impl From<arrow_schema::DataType> for DataType {
     }
 }
 
-impl From<&DataType> for arrow_schema::DataType {
-    fn from(value: &DataType) -> Self {
+impl TryFrom<&DataType> for arrow_schema::DataType {
+    type Error = String;
+
+    fn try_from(value: &DataType) -> Result<Self, Self::Error> {
         match value {
-            DataType::Boolean => Self::Boolean,
-            DataType::Int16 => Self::Int16,
-            DataType::Int32 => Self::Int32,
-            DataType::Int64 => Self::Int64,
-            DataType::Int256 => Self::Decimal256(DECIMAL256_MAX_PRECISION, 0),
-            DataType::Float32 => Self::Float32,
-            DataType::Float64 => Self::Float64,
-            DataType::Date => Self::Date32,
-            DataType::Timestamp => Self::Timestamp(arrow_schema::TimeUnit::Microsecond, None),
-            DataType::Timestamptz => {
-                Self::Timestamp(arrow_schema::TimeUnit::Microsecond, Some("UTC".into()))
-            }
-            DataType::Time => Self::Time64(arrow_schema::TimeUnit::Microsecond),
-            DataType::Interval => Self::Interval(arrow_schema::IntervalUnit::MonthDayNano),
-            DataType::Varchar => Self::Utf8,
-            DataType::Jsonb => Self::LargeUtf8,
-            DataType::Bytea => Self::Binary,
-            DataType::Decimal => Self::Decimal128(38, 0), // arrow precision can not be 0
-            DataType::Struct(struct_type) => Self::Struct(
+            DataType::Boolean => Ok(Self::Boolean),
+            DataType::Int16 => Ok(Self::Int16),
+            DataType::Int32 => Ok(Self::Int32),
+            DataType::Int64 => Ok(Self::Int64),
+            DataType::Int256 => Ok(Self::Decimal256(DECIMAL256_MAX_PRECISION, 0)),
+            DataType::Float32 => Ok(Self::Float32),
+            DataType::Float64 => Ok(Self::Float64),
+            DataType::Date => Ok(Self::Date32),
+            DataType::Timestamp => Ok(Self::Timestamp(arrow_schema::TimeUnit::Microsecond, None)),
+            DataType::Timestamptz => Ok(Self::Timestamp(
+                arrow_schema::TimeUnit::Microsecond,
+                Some("UTC".into()),
+            )),
+            DataType::Time => Ok(Self::Time64(arrow_schema::TimeUnit::Microsecond)),
+            DataType::Interval => Ok(Self::Interval(arrow_schema::IntervalUnit::MonthDayNano)),
+            DataType::Varchar => Ok(Self::Utf8),
+            DataType::Jsonb => Ok(Self::LargeUtf8),
+            DataType::Bytea => Ok(Self::Binary),
+            DataType::Decimal => Ok(Self::Decimal128(38, 0)), // arrow precision can not be 0
+            DataType::Struct(struct_type) => Ok(Self::Struct(
                 struct_type
                     .iter()
-                    .map(|(name, ty)| Field::new(name, ty.into(), true))
-                    .collect(),
-            ),
-            DataType::List(datatype) => {
-                Self::List(Box::new(Field::new("item", datatype.as_ref().into(), true)))
-            }
-            _ => todo!("Unsupported arrow data type: {value:?}"),
+                    .map(|(name, ty)| Ok(Field::new(name, ty.try_into()?, true)))
+                    .try_collect::<_, _, String>()?,
+            )),
+            DataType::List(datatype) => Ok(Self::List(Box::new(Field::new(
+                "item",
+                datatype.as_ref().try_into()?,
+                true,
+            )))),
+            DataType::Serial => Err("Serial type is not supported to convert to arrow".to_string()),
         }
     }
 }
 
-impl From<DataType> for arrow_schema::DataType {
-    fn from(value: DataType) -> Self {
-        (&value).into()
+impl TryFrom<DataType> for arrow_schema::DataType {
+    type Error = String;
+
+    fn try_from(value: DataType) -> Result<Self, Self::Error> {
+        (&value).try_into()
     }
 }
 
@@ -624,14 +647,21 @@ impl TryFrom<&arrow_array::ListArray> for ListArray {
     }
 }
 
-impl From<&StructArray> for arrow_array::StructArray {
-    fn from(array: &StructArray) -> Self {
+impl TryFrom<&StructArray> for arrow_array::StructArray {
+    type Error = ArrayError;
+
+    fn try_from(array: &StructArray) -> Result<Self, Self::Error> {
         let struct_data_vector: Vec<(arrow_schema::Field, arrow_array::ArrayRef)> = array
             .fields()
             .zip_eq_debug(array.data_type().as_struct().iter())
-            .map(|(arr, (name, ty))| (Field::new(name, ty.into(), true), arr.as_ref().into()))
-            .collect();
-        arrow_array::StructArray::from(struct_data_vector)
+            .map(|(arr, (name, ty))| {
+                Ok((
+                    Field::new(name, ty.try_into().map_err(ArrayError::ToArrow)?, true),
+                    arr.as_ref().try_into()?,
+                ))
+            })
+            .try_collect::<_, _, ArrayError>()?;
+        Ok(arrow_array::StructArray::from(struct_data_vector))
     }
 }
 
@@ -790,7 +820,10 @@ mod tests {
 
         // Empty array - risingwave to arrow conversion.
         let test_arr = StructArray::new(StructType::empty(), vec![], Bitmap::ones(0));
-        assert_eq!(arrow_array::StructArray::from(&test_arr).len(), 0);
+        assert_eq!(
+            arrow_array::StructArray::try_from(&test_arr).unwrap().len(),
+            0
+        );
 
         // Empty array - arrow to risingwave conversion.
         let test_arr_2 = arrow_array::StructArray::from(vec![]);
diff --git a/src/common/src/array/error.rs b/src/common/src/array/error.rs
index 99ff0ed16887..84ba78b3cf87 100644
--- a/src/common/src/array/error.rs
+++ b/src/common/src/array/error.rs
@@ -31,8 +31,11 @@ pub enum ArrayError {
     #[error(transparent)]
     Internal(#[from] anyhow::Error),
 
-    #[error("Arrow error: {0}")]
+    #[error("Convert from arrow error: {0}")]
     FromArrow(String),
+
+    #[error("Convert to arrow error: {0}")]
+    ToArrow(String),
 }
 
 impl From<ArrayError> for RwError {
diff --git a/src/common/src/constants.rs b/src/common/src/constants.rs
index b8d54506ad3c..a31769ce0e52 100644
--- a/src/common/src/constants.rs
+++ b/src/common/src/constants.rs
@@ -35,3 +35,28 @@ pub mod hummock {
     pub const TABLE_OPTION_DUMMY_RETENTION_SECOND: u32 = 0;
     pub const PROPERTIES_RETENTION_SECOND_KEY: &str = "retention_seconds";
 }
+
+pub mod log_store {
+    use crate::types::DataType;
+
+    pub const EPOCH_COLUMN_NAME: &str = "kv_log_store_epoch";
+    pub const SEQ_ID_COLUMN_NAME: &str = "kv_log_store_seq_id";
+    pub const ROW_OP_COLUMN_NAME: &str = "kv_log_store_row_op";
+
+    /// `epoch`, `seq_id`, `row_op`
+    pub const KV_LOG_STORE_PREDEFINED_COLUMNS: [(&str, DataType); 3] = [
+        (EPOCH_COLUMN_NAME, EPOCH_COLUMN_TYPE),
+        (SEQ_ID_COLUMN_NAME, SEQ_ID_COLUMN_TYPE),
+        (ROW_OP_COLUMN_NAME, ROW_OP_COLUMN_TYPE),
+    ];
+    /// `epoch`, `seq_id`
+    pub const PK_TYPES: [DataType; 2] = [EPOCH_COLUMN_TYPE, SEQ_ID_COLUMN_TYPE];
+
+    pub const EPOCH_COLUMN_TYPE: DataType = DataType::Int64;
+    pub const SEQ_ID_COLUMN_TYPE: DataType = DataType::Int32;
+    pub const ROW_OP_COLUMN_TYPE: DataType = DataType::Int16;
+
+    pub const EPOCH_COLUMN_INDEX: usize = 0;
+    pub const SEQ_ID_COLUMN_INDEX: usize = 1;
+    pub const ROW_OP_COLUMN_INDEX: usize = 2;
+}
diff --git a/src/common/src/util/column_index_mapping.rs b/src/common/src/util/column_index_mapping.rs
index ca83c9162f9f..97de8c926bfb 100644
--- a/src/common/src/util/column_index_mapping.rs
+++ b/src/common/src/util/column_index_mapping.rs
@@ -72,6 +72,20 @@ impl ColIndexMapping {
         Self::new(map)
     }
 
+    pub fn is_identity(&self) -> bool {
+        if self.map.len() != self.target_size {
+            return false;
+        }
+        for (src, tar) in self.map.iter().enumerate() {
+            if let Some(tar_value) = tar && src == *tar_value {
+                continue
+            } else {
+                return false;
+            }
+        }
+        true
+    }
+
     pub fn identity_or_none(source_size: usize, target_size: usize) -> Self {
         let map = (0..source_size)
             .map(|i| if i < target_size { Some(i) } else { None })
@@ -377,4 +391,10 @@ mod tests {
         assert_eq!(composite.try_map(1), None);
         assert_eq!(composite.map(2), 1); // 2+3 = 5, 5 -> 1
     }
+
+    #[test]
+    fn test_identity() {
+        let mapping = ColIndexMapping::identity(10);
+        assert!(mapping.is_identity());
+    }
 }
diff --git a/src/common/src/util/stream_graph_visitor.rs b/src/common/src/util/stream_graph_visitor.rs
index 8623ee8edeed..cc5b090de338 100644
--- a/src/common/src/util/stream_graph_visitor.rs
+++ b/src/common/src/util/stream_graph_visitor.rs
@@ -155,6 +155,12 @@ fn visit_stream_node_tables_inner<F>(
                 }
             }
 
+            // Sink
+            NodeBody::Sink(node) => {
+                // A sink with a kv log store should have a state table.
+                optional!(node.table, "Sink")
+            }
+
             // Now
             NodeBody::Now(node) => {
                 always!(node.state_table, "Now");
diff --git a/src/connector/src/parser/avro/parser.rs b/src/connector/src/parser/avro/parser.rs
index 8b9510558e01..bcf7b0ebd1f3 100644
--- a/src/connector/src/parser/avro/parser.rs
+++ b/src/connector/src/parser/avro/parser.rs
@@ -512,7 +512,7 @@ mod test {
                 let inner_schema = union_schema
                     .variants()
                     .iter()
-                    .find_or_first(|s| s != &&Schema::Null)
+                    .find_or_first(|s| !matches!(s, &&Schema::Null))
                     .unwrap();
 
                 match build_field(inner_schema) {
diff --git a/src/connector/src/parser/avro/util.rs b/src/connector/src/parser/avro/util.rs
index 65f58eb9212a..0d753528cf41 100644
--- a/src/connector/src/parser/avro/util.rs
+++ b/src/connector/src/parser/avro/util.rs
@@ -118,7 +118,7 @@ fn avro_type_mapping(schema: &Schema) -> anyhow::Result<DataType> {
             let nested_schema = union_schema
                 .variants()
                 .iter()
-                .find_or_first(|s| **s != Schema::Null)
+                .find_or_first(|s| !matches!(s, Schema::Null))
                 .ok_or_else(|| {
                     anyhow::format_err!("unsupported type in Avro: {:?}", union_schema)
                 })?;
diff --git a/src/connector/src/parser/debezium/avro_parser.rs b/src/connector/src/parser/debezium/avro_parser.rs
index db61dff28b90..111caf1ac5cf 100644
--- a/src/connector/src/parser/debezium/avro_parser.rs
+++ b/src/connector/src/parser/debezium/avro_parser.rs
@@ -45,7 +45,7 @@ const PAYLOAD: &str = "payload";
 // TODO: avoid duplicated codes with `AvroParser`
 #[derive(Debug)]
 pub struct DebeziumAvroParser {
-    outer_schema: Arc<Schema>,
+    schema: Schema,
     schema_resolver: Arc<ConfluentSchemaResolver>,
     rw_columns: Vec<SourceColumnDesc>,
     source_ctx: SourceContextRef,
@@ -109,8 +109,14 @@ impl DebeziumAvroParser {
             schema_resolver,
             ..
         } = config;
+        let resolver = apache_avro::schema::ResolvedSchema::try_from(&*outer_schema)
+            .map_err(|e| RwError::from(ProtocolError(e.to_string())))?;
+        // todo: to_resolved may cause stackoverflow if there's a loop in the schema
+        let schema = resolver
+            .to_resolved(&outer_schema)
+            .map_err(|e| RwError::from(ProtocolError(e.to_string())))?;
         Ok(Self {
-            outer_schema,
+            schema,
             schema_resolver,
             rw_columns,
             source_ctx,
@@ -155,16 +161,9 @@ impl DebeziumAvroParser {
             let avro_value = from_avro_datum(writer_schema.as_ref(), &mut raw_payload, None)
                 .map_err(|e| RwError::from(ProtocolError(e.to_string())))?;
 
-            let resolver = apache_avro::schema::ResolvedSchema::try_from(&*self.outer_schema)
-                .map_err(|e| RwError::from(ProtocolError(e.to_string())))?;
-            // todo: to_resolved may cause stackoverflow if there's a loop in the schema
-            let schema = resolver
-                .to_resolved(&self.outer_schema)
-                .map_err(|e| RwError::from(ProtocolError(e.to_string())))?;
-
             let row_op = DebeziumChangeEvent::with_value(AvroAccess::new(
                 &avro_value,
-                AvroParseOptions::default().with_schema(&schema),
+                AvroParseOptions::default().with_schema(&self.schema),
             ));
 
             apply_row_operation_on_stream_chunk_writer(row_op, &mut writer)
diff --git a/src/connector/src/parser/unified/avro.rs b/src/connector/src/parser/unified/avro.rs
index 48bc63f8442b..5f06c91bed6f 100644
--- a/src/connector/src/parser/unified/avro.rs
+++ b/src/connector/src/parser/unified/avro.rs
@@ -372,7 +372,7 @@ pub fn avro_schema_skip_union(schema: &Schema) -> anyhow::Result<&Schema> {
             let inner_schema = union_schema
                 .variants()
                 .iter()
-                .find(|s| **s != Schema::Null)
+                .find(|s| !matches!(s, &&Schema::Null))
                 .ok_or_else(|| {
                     anyhow::format_err!("illegal avro record schema {:?}", union_schema)
                 })?;
diff --git a/src/connector/src/sink/remote.rs b/src/connector/src/sink/remote.rs
index 0879d47940bf..a0150e03a47b 100644
--- a/src/connector/src/sink/remote.rs
+++ b/src/connector/src/sink/remote.rs
@@ -231,7 +231,7 @@ impl RemoteSinkWriter {
                     &config.connector_type, e
                 )
             })?;
-        tracing::info!(
+        tracing::trace!(
             "{:?} sink stream started with properties: {:?}",
             &config.connector_type,
             &config.properties
diff --git a/src/expr/src/expr/expr_udf.rs b/src/expr/src/expr/expr_udf.rs
index 14c7f46b4341..f96d8b433327 100644
--- a/src/expr/src/expr/expr_udf.rs
+++ b/src/expr/src/expr/expr_udf.rs
@@ -51,7 +51,7 @@ impl Expression for UdfExpression {
         let mut columns = Vec::with_capacity(self.children.len());
         for child in &self.children {
             let array = child.eval_checked(input).await?;
-            columns.push(array.as_ref().into());
+            columns.push(array.as_ref().try_into()?);
         }
         self.eval_inner(columns, vis).await
     }
@@ -64,7 +64,11 @@ impl Expression for UdfExpression {
         }
         let arg_row = OwnedRow::new(columns);
         let chunk = DataChunk::from_rows(std::slice::from_ref(&arg_row), &self.arg_types);
-        let arg_columns = chunk.columns().iter().map(|c| c.as_ref().into()).collect();
+        let arg_columns = chunk
+            .columns()
+            .iter()
+            .map::<Result<_>, _>(|c| Ok(c.as_ref().try_into()?))
+            .try_collect()?;
         let output_array = self
             .eval_inner(arg_columns, chunk.vis().to_bitmap())
             .await?;
@@ -114,8 +118,16 @@ impl<'a> TryFrom<&'a ExprNode> for UdfExpression {
         let arg_schema = Arc::new(Schema::new(
             udf.arg_types
                 .iter()
-                .map(|t| Field::new("", DataType::from(t).into(), true))
-                .collect(),
+                .map::<Result<_>, _>(|t| {
+                    Ok(Field::new(
+                        "",
+                        DataType::from(t)
+                            .try_into()
+                            .map_err(risingwave_udf::Error::Unsupported)?,
+                        true,
+                    ))
+                })
+                .try_collect()?,
         ));
         // connect to UDF service
         let client = get_or_create_client(&udf.link)?;
diff --git a/src/expr/src/table_function/user_defined.rs b/src/expr/src/table_function/user_defined.rs
index 54c0b4267dfb..6a42a2cf26c2 100644
--- a/src/expr/src/table_function/user_defined.rs
+++ b/src/expr/src/table_function/user_defined.rs
@@ -51,7 +51,7 @@ impl UserDefinedTableFunction {
     async fn eval_inner<'a>(&'a self, input: &'a DataChunk) {
         let mut columns = Vec::with_capacity(self.children.len());
         for c in &self.children {
-            let val = c.eval_checked(input).await?.as_ref().into();
+            let val = c.eval_checked(input).await?.as_ref().try_into()?;
             columns.push(val);
         }
 
@@ -81,8 +81,16 @@ pub fn new_user_defined(prost: &PbTableFunction, chunk_size: usize) -> Result<Bo
     let arg_schema = Arc::new(Schema::new(
         udtf.arg_types
             .iter()
-            .map(|t| Field::new("", DataType::from(t).into(), true))
-            .collect(),
+            .map::<Result<_>, _>(|t| {
+                Ok(Field::new(
+                    "",
+                    DataType::from(t)
+                        .try_into()
+                        .map_err(risingwave_udf::Error::Unsupported)?,
+                    true,
+                ))
+            })
+            .try_collect()?,
     ));
     // connect to UDF service
     let client = crate::expr::expr_udf::get_or_create_client(&udtf.link)?;
diff --git a/src/expr/src/window_function/state/mod.rs b/src/expr/src/window_function/state/mod.rs
index be70eb3ba539..59f066f70e2a 100644
--- a/src/expr/src/window_function/state/mod.rs
+++ b/src/expr/src/window_function/state/mod.rs
@@ -109,7 +109,7 @@ pub trait WindowState: EstimateSize {
     fn slide_forward(&mut self) -> StateEvictHint;
 }
 
-pub fn create_window_state(call: &WindowFuncCall) -> Result<Box<dyn WindowState + Send>> {
+pub fn create_window_state(call: &WindowFuncCall) -> Result<Box<dyn WindowState + Send + Sync>> {
     assert!(call.frame.bounds.is_valid());
 
     use WindowFuncKind::*;
diff --git a/src/expr/src/window_function/states.rs b/src/expr/src/window_function/states.rs
index c711d3d226cd..d039eb323e10 100644
--- a/src/expr/src/window_function/states.rs
+++ b/src/expr/src/window_function/states.rs
@@ -20,10 +20,10 @@ use risingwave_common::types::Datum;
 use super::state::{StateEvictHint, StateKey, WindowState};
 use crate::Result;
 
-pub struct WindowStates(Vec<Box<dyn WindowState + Send>>);
+pub struct WindowStates(Vec<Box<dyn WindowState + Send + Sync>>);
 
 impl WindowStates {
-    pub fn new(states: Vec<Box<dyn WindowState + Send>>) -> Self {
+    pub fn new(states: Vec<Box<dyn WindowState + Send + Sync>>) -> Self {
         assert!(!states.is_empty());
         Self(states)
     }
@@ -74,7 +74,7 @@ impl WindowStates {
 }
 
 impl Deref for WindowStates {
-    type Target = Vec<Box<dyn WindowState + Send>>;
+    type Target = Vec<Box<dyn WindowState + Send + Sync>>;
 
     fn deref(&self) -> &Self::Target {
         &self.0
diff --git a/src/frontend/Cargo.toml b/src/frontend/Cargo.toml
index 1b7ac65f3933..0b7fbf312d4d 100644
--- a/src/frontend/Cargo.toml
+++ b/src/frontend/Cargo.toml
@@ -36,6 +36,7 @@ iana-time-zone = "0.1"
 itertools = "0.10"
 maplit = "1"
 md5 = "0.7.0"
+more-asserts = "0.3"
 num-integer = "0.1"
 parking_lot = "0.12"
 parse-display = "0.6"
diff --git a/src/frontend/planner_test/tests/testdata/input/grouping_sets.yaml b/src/frontend/planner_test/tests/testdata/input/grouping_sets.yaml
index 3bb979f65f32..59bcb6305419 100644
--- a/src/frontend/planner_test/tests/testdata/input/grouping_sets.yaml
+++ b/src/frontend/planner_test/tests/testdata/input/grouping_sets.yaml
@@ -11,4 +11,11 @@
     SELECT brand, size, sum(distinct sales) FROM items_sold GROUP BY GROUPING SETS ((brand), (size), ());
   expected_outputs:
     - batch_plan
-    - stream_plan
\ No newline at end of file
+    - stream_plan
+- name: column pruning
+  sql: |
+    create table items_sold (c1 int, brand varchar, c2 int, size varchar, c3 int, sales int, c4 int,);
+    SELECT brand, size, sum(sales) FROM items_sold GROUP BY GROUPING SETS ((size), (brand), ());
+  expected_outputs:
+    - batch_plan
+    - stream_plan
diff --git a/src/frontend/planner_test/tests/testdata/input/over_window_function.yaml b/src/frontend/planner_test/tests/testdata/input/over_window_function.yaml
index f88b76f12fce..9057582b3c43 100644
--- a/src/frontend/planner_test/tests/testdata/input/over_window_function.yaml
+++ b/src/frontend/planner_test/tests/testdata/input/over_window_function.yaml
@@ -72,7 +72,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: lag with over clause, ignoring frame definition
   sql: |
     create table t(x int, y int);
@@ -80,7 +80,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 
 # Aggregate
 - id: aggregate with empty over clause
@@ -108,7 +108,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: aggregate with over clause, rows frame definition with between, without ORDER BY
   sql: |
     create table t(x int, y int);
@@ -116,7 +116,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: aggregate with over clause, invalid frame definition case 1
   sql: |
     create table t(x int, y int);
@@ -148,7 +148,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: more aggregate functions
   sql: |
     create table t(x int, y int, z int, w int);
@@ -159,7 +159,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: aggregate with expression in func arguments and over clause
   sql: |
     create table t(x int, y int, z int, w int);
@@ -171,7 +171,7 @@
     - logical_plan
     - stream_plan
     - optimized_logical_plan_for_batch
-    - batch_error
+    - batch_plan
 
 # RowNumber/Rank/...
 - id: row_number with empty over clause
@@ -195,7 +195,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 
 # TopN pattern
 - id: TopN by row_number with rank output
@@ -207,7 +207,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 - id: TopN by row_number without rank output, 1
   sql: |
     create table t(x int, y int);
@@ -325,7 +325,7 @@
   expected_outputs:
     - logical_plan
     - stream_plan
-    - batch_error
+    - batch_plan
 # <<< TopN by row_number, with offset
 - id: Deduplication (Top1) by row_number
   sql: |
diff --git a/src/frontend/planner_test/tests/testdata/output/ch_benchmark.yaml b/src/frontend/planner_test/tests/testdata/output/ch_benchmark.yaml
index fc545e552382..f5a12cdbe8a7 100644
--- a/src/frontend/planner_test/tests/testdata/output/ch_benchmark.yaml
+++ b/src/frontend/planner_test/tests/testdata/output/ch_benchmark.yaml
@@ -1220,12 +1220,12 @@
     LogicalProject { exprs: [$expr3, (sum($expr4) / sum(order_line.ol_amount)) as $expr5] }
     └─LogicalAgg { group_key: [$expr3], aggs: [sum($expr4), sum(order_line.ol_amount)] }
       └─LogicalProject { exprs: [Extract('YEAR':Varchar, orders.o_entry_d) as $expr3, Case((nation.n_name = 'INDIA':Varchar), order_line.ol_amount, 0:Int32::Decimal) as $expr4, order_line.ol_amount] }
-        └─LogicalJoin { type: Inner, on: (supplier.s_nationkey = nation.n_nationkey), output: [order_line.ol_amount, orders.o_entry_d, nation.n_name] }
-          ├─LogicalJoin { type: Inner, on: ($expr2 = supplier.s_suppkey), output: [order_line.ol_amount, orders.o_entry_d, supplier.s_nationkey] }
-          │ ├─LogicalProject { exprs: [order_line.ol_amount, orders.o_entry_d, ((stock.s_w_id * stock.s_i_id) % 10000:Int32)::Int64 as $expr2] }
-          │ │ └─LogicalJoin { type: Inner, on: (nation.n_regionkey = region.r_regionkey), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d] }
-          │ │   ├─LogicalJoin { type: Inner, on: ($expr1 = nation.n_nationkey), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, nation.n_regionkey] }
-          │ │   │ ├─LogicalProject { exprs: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, (Ascii(Substr(customer.c_state, 1:Int32, 1:Int32)) - 65:Int32)::Int64 as $expr1] }
+        └─LogicalJoin { type: Inner, on: (nation.n_regionkey = region.r_regionkey), output: [order_line.ol_amount, orders.o_entry_d, nation.n_name] }
+          ├─LogicalJoin { type: Inner, on: ($expr2 = nation.n_nationkey), output: [order_line.ol_amount, orders.o_entry_d, nation.n_name, nation.n_regionkey] }
+          │ ├─LogicalProject { exprs: [order_line.ol_amount, orders.o_entry_d, nation.n_name, (Ascii(Substr(customer.c_state, 1:Int32, 1:Int32)) - 65:Int32)::Int64 as $expr2] }
+          │ │ └─LogicalJoin { type: Inner, on: (supplier.s_nationkey = nation.n_nationkey), output: [order_line.ol_amount, orders.o_entry_d, customer.c_state, nation.n_name] }
+          │ │   ├─LogicalJoin { type: Inner, on: ($expr1 = supplier.s_suppkey), output: [order_line.ol_amount, orders.o_entry_d, customer.c_state, supplier.s_nationkey] }
+          │ │   │ ├─LogicalProject { exprs: [order_line.ol_amount, orders.o_entry_d, customer.c_state, ((stock.s_w_id * stock.s_i_id) % 10000:Int32)::Int64 as $expr1] }
           │ │   │ │ └─LogicalJoin { type: Inner, on: (customer.c_id = orders.o_c_id) AND (customer.c_w_id = orders.o_w_id) AND (customer.c_d_id = orders.o_d_id), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, customer.c_state] }
           │ │   │ │   ├─LogicalJoin { type: Inner, on: (order_line.ol_w_id = orders.o_w_id) AND (order_line.ol_d_id = orders.o_d_id) AND (order_line.ol_o_id = orders.o_id), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_d_id, orders.o_w_id, orders.o_c_id, orders.o_entry_d] }
           │ │   │ │   │ ├─LogicalJoin { type: Inner, on: (order_line.ol_i_id = stock.s_i_id) AND (order_line.ol_supply_w_id = stock.s_w_id) AND (item.i_id = order_line.ol_i_id), output: [stock.s_i_id, stock.s_w_id, order_line.ol_o_id, order_line.ol_d_id, order_line.ol_w_id, order_line.ol_amount] }
@@ -1235,10 +1235,10 @@
           │ │   │ │   │ │ └─LogicalScan { table: order_line, columns: [order_line.ol_o_id, order_line.ol_d_id, order_line.ol_w_id, order_line.ol_i_id, order_line.ol_supply_w_id, order_line.ol_amount], predicate: (order_line.ol_i_id = order_line.ol_i_id) AND (order_line.ol_i_id < 1000:Int32) }
           │ │   │ │   │ └─LogicalScan { table: orders, columns: [orders.o_id, orders.o_d_id, orders.o_w_id, orders.o_c_id, orders.o_entry_d], predicate: (orders.o_entry_d >= '2007-01-02 00:00:00':Timestamp) AND (orders.o_entry_d <= '2032-01-02 00:00:00':Timestamp) }
           │ │   │ │   └─LogicalScan { table: customer, columns: [customer.c_id, customer.c_d_id, customer.c_w_id, customer.c_state] }
-          │ │   │ └─LogicalScan { table: nation, columns: [nation.n_nationkey, nation.n_regionkey] }
-          │ │   └─LogicalScan { table: region, output_columns: [region.r_regionkey], required_columns: [region.r_regionkey, region.r_name], predicate: (region.r_name = 'ASIA':Varchar) }
-          │ └─LogicalScan { table: supplier, columns: [supplier.s_suppkey, supplier.s_nationkey] }
-          └─LogicalScan { table: nation, columns: [nation.n_nationkey, nation.n_name] }
+          │ │   │ └─LogicalScan { table: supplier, columns: [supplier.s_suppkey, supplier.s_nationkey] }
+          │ │   └─LogicalScan { table: nation, columns: [nation.n_nationkey, nation.n_name] }
+          │ └─LogicalScan { table: nation, columns: [nation.n_nationkey, nation.n_regionkey] }
+          └─LogicalScan { table: region, output_columns: [region.r_regionkey], required_columns: [region.r_regionkey, region.r_name], predicate: (region.r_name = 'ASIA':Varchar) }
   batch_plan: |-
     BatchExchange { order: [$expr3 ASC], dist: Single }
     └─BatchProject { exprs: [$expr3, (sum($expr4) / sum(order_line.ol_amount)) as $expr5] }
@@ -1246,16 +1246,16 @@
         └─BatchHashAgg { group_key: [$expr3], aggs: [sum($expr4), sum(order_line.ol_amount)] }
           └─BatchExchange { order: [], dist: HashShard($expr3) }
             └─BatchProject { exprs: [Extract('YEAR':Varchar, orders.o_entry_d) as $expr3, Case((nation.n_name = 'INDIA':Varchar), order_line.ol_amount, 0:Decimal) as $expr4, order_line.ol_amount] }
-              └─BatchLookupJoin { type: Inner, predicate: supplier.s_nationkey = nation.n_nationkey, output: [order_line.ol_amount, orders.o_entry_d, nation.n_name] }
-                └─BatchExchange { order: [], dist: UpstreamHashShard(supplier.s_nationkey) }
-                  └─BatchLookupJoin { type: Inner, predicate: $expr2 = supplier.s_suppkey, output: [order_line.ol_amount, orders.o_entry_d, supplier.s_nationkey] }
+              └─BatchLookupJoin { type: Inner, predicate: nation.n_regionkey = region.r_regionkey AND (region.r_name = 'ASIA':Varchar), output: [order_line.ol_amount, orders.o_entry_d, nation.n_name] }
+                └─BatchExchange { order: [], dist: UpstreamHashShard(nation.n_regionkey) }
+                  └─BatchLookupJoin { type: Inner, predicate: $expr2 = nation.n_nationkey, output: [order_line.ol_amount, orders.o_entry_d, nation.n_name, nation.n_regionkey] }
                     └─BatchExchange { order: [], dist: UpstreamHashShard($expr2) }
-                      └─BatchProject { exprs: [order_line.ol_amount, orders.o_entry_d, ((stock.s_w_id * stock.s_i_id) % 10000:Int32)::Int64 as $expr2] }
-                        └─BatchLookupJoin { type: Inner, predicate: nation.n_regionkey = region.r_regionkey AND (region.r_name = 'ASIA':Varchar), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d] }
-                          └─BatchExchange { order: [], dist: UpstreamHashShard(nation.n_regionkey) }
-                            └─BatchLookupJoin { type: Inner, predicate: $expr1 = nation.n_nationkey, output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, nation.n_regionkey] }
+                      └─BatchProject { exprs: [order_line.ol_amount, orders.o_entry_d, nation.n_name, (Ascii(Substr(customer.c_state, 1:Int32, 1:Int32)) - 65:Int32)::Int64 as $expr2] }
+                        └─BatchLookupJoin { type: Inner, predicate: supplier.s_nationkey = nation.n_nationkey, output: [order_line.ol_amount, orders.o_entry_d, customer.c_state, nation.n_name] }
+                          └─BatchExchange { order: [], dist: UpstreamHashShard(supplier.s_nationkey) }
+                            └─BatchLookupJoin { type: Inner, predicate: $expr1 = supplier.s_suppkey, output: [order_line.ol_amount, orders.o_entry_d, customer.c_state, supplier.s_nationkey] }
                               └─BatchExchange { order: [], dist: UpstreamHashShard($expr1) }
-                                └─BatchProject { exprs: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, (Ascii(Substr(customer.c_state, 1:Int32, 1:Int32)) - 65:Int32)::Int64 as $expr1] }
+                                └─BatchProject { exprs: [order_line.ol_amount, orders.o_entry_d, customer.c_state, ((stock.s_w_id * stock.s_i_id) % 10000:Int32)::Int64 as $expr1] }
                                   └─BatchLookupJoin { type: Inner, predicate: orders.o_w_id = customer.c_w_id AND orders.o_d_id = customer.c_d_id AND orders.o_c_id = customer.c_id, output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_entry_d, customer.c_state] }
                                     └─BatchExchange { order: [], dist: UpstreamHashShard(orders.o_c_id, orders.o_d_id, orders.o_w_id) }
                                       └─BatchLookupJoin { type: Inner, predicate: order_line.ol_w_id = orders.o_w_id AND order_line.ol_d_id = orders.o_d_id AND order_line.ol_o_id = orders.o_id AND (orders.o_entry_d >= '2007-01-02 00:00:00':Timestamp) AND (orders.o_entry_d <= '2032-01-02 00:00:00':Timestamp), output: [stock.s_i_id, stock.s_w_id, order_line.ol_amount, orders.o_d_id, orders.o_w_id, orders.o_c_id, orders.o_entry_d] }
diff --git a/src/frontend/planner_test/tests/testdata/output/grouping_sets.yaml b/src/frontend/planner_test/tests/testdata/output/grouping_sets.yaml
index 44a8324c9177..931b5bd06e17 100644
--- a/src/frontend/planner_test/tests/testdata/output/grouping_sets.yaml
+++ b/src/frontend/planner_test/tests/testdata/output/grouping_sets.yaml
@@ -9,16 +9,14 @@
       └─BatchHashAgg { group_key: [items_sold.brand, items_sold.size, flag], aggs: [sum(items_sold.sales)] }
         └─BatchExchange { order: [], dist: HashShard(items_sold.brand, items_sold.size, flag) }
           └─BatchExpand { column_subsets: [[items_sold.brand], [items_sold.size], []] }
-            └─BatchProject { exprs: [items_sold.brand, items_sold.size, items_sold.sales] }
-              └─BatchScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], distribution: UpstreamHashShard(items_sold._row_id) }
+            └─BatchScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [brand, size, sum, flag(hidden)], stream_key: [brand, size, flag], pk_columns: [brand, size, flag], pk_conflict: NoCheck }
     └─StreamProject { exprs: [items_sold.brand, items_sold.size, sum(items_sold.sales), flag] }
       └─StreamHashAgg { group_key: [items_sold.brand, items_sold.size, flag], aggs: [sum(items_sold.sales), count] }
         └─StreamExchange { dist: HashShard(items_sold.brand, items_sold.size, flag) }
           └─StreamExpand { column_subsets: [[items_sold.brand], [items_sold.size], []] }
-            └─StreamProject { exprs: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id] }
-              └─StreamTableScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], pk: [items_sold._row_id], dist: UpstreamHashShard(items_sold._row_id) }
+            └─StreamTableScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], pk: [items_sold._row_id], dist: UpstreamHashShard(items_sold._row_id) }
 - name: with distinct
   sql: |
     create table items_sold (brand varchar, size varchar, sales int);
@@ -31,13 +29,31 @@
           └─BatchHashAgg { group_key: [items_sold.brand, items_sold.size, items_sold.sales, flag], aggs: [] }
             └─BatchExchange { order: [], dist: HashShard(items_sold.brand, items_sold.size, items_sold.sales, flag) }
               └─BatchExpand { column_subsets: [[items_sold.brand], [items_sold.size], []] }
-                └─BatchProject { exprs: [items_sold.brand, items_sold.size, items_sold.sales] }
-                  └─BatchScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], distribution: UpstreamHashShard(items_sold._row_id) }
+                └─BatchScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [brand, size, sum, flag(hidden)], stream_key: [brand, size, flag], pk_columns: [brand, size, flag], pk_conflict: NoCheck }
     └─StreamProject { exprs: [items_sold.brand, items_sold.size, sum(distinct items_sold.sales), flag] }
       └─StreamHashAgg { group_key: [items_sold.brand, items_sold.size, flag], aggs: [sum(distinct items_sold.sales), count] }
         └─StreamExchange { dist: HashShard(items_sold.brand, items_sold.size, flag) }
           └─StreamExpand { column_subsets: [[items_sold.brand], [items_sold.size], []] }
-            └─StreamProject { exprs: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id] }
+            └─StreamTableScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], pk: [items_sold._row_id], dist: UpstreamHashShard(items_sold._row_id) }
+- name: column pruning
+  sql: |
+    create table items_sold (c1 int, brand varchar, c2 int, size varchar, c3 int, sales int, c4 int,);
+    SELECT brand, size, sum(sales) FROM items_sold GROUP BY GROUPING SETS ((size), (brand), ());
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchProject { exprs: [items_sold.brand, items_sold.size, sum(items_sold.sales)] }
+      └─BatchHashAgg { group_key: [items_sold.size, items_sold.brand, flag], aggs: [sum(items_sold.sales)] }
+        └─BatchExchange { order: [], dist: HashShard(items_sold.size, items_sold.brand, flag) }
+          └─BatchExpand { column_subsets: [[items_sold.size], [items_sold.brand], []] }
+            └─BatchProject { exprs: [items_sold.size, items_sold.brand, items_sold.sales] }
+              └─BatchScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales], distribution: SomeShard }
+  stream_plan: |-
+    StreamMaterialize { columns: [brand, size, sum, flag(hidden)], stream_key: [size, brand, flag], pk_columns: [size, brand, flag], pk_conflict: NoCheck }
+    └─StreamProject { exprs: [items_sold.brand, items_sold.size, sum(items_sold.sales), flag] }
+      └─StreamHashAgg { group_key: [items_sold.size, items_sold.brand, flag], aggs: [sum(items_sold.sales), count] }
+        └─StreamExchange { dist: HashShard(items_sold.size, items_sold.brand, flag) }
+          └─StreamExpand { column_subsets: [[items_sold.size], [items_sold.brand], []] }
+            └─StreamProject { exprs: [items_sold.size, items_sold.brand, items_sold.sales, items_sold._row_id] }
               └─StreamTableScan { table: items_sold, columns: [items_sold.brand, items_sold.size, items_sold.sales, items_sold._row_id], pk: [items_sold._row_id], dist: UpstreamHashShard(items_sold._row_id) }
diff --git a/src/frontend/planner_test/tests/testdata/output/over_window_function.yaml b/src/frontend/planner_test/tests/testdata/output/over_window_function.yaml
index 34b6a1310978..1eb265c1f83d 100644
--- a/src/frontend/planner_test/tests/testdata/output/over_window_function.yaml
+++ b/src/frontend/planner_test/tests/testdata/output/over_window_function.yaml
@@ -71,8 +71,8 @@
       └─LogicalProject { exprs: [t.x, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t._row_id] }
   batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
+    Feature is not yet implemented: Window function with empty PARTITION BY is not supported yet
+    No tracking issue yet. Feel free to submit a feature request at https://github.com/risingwavelabs/risingwave/issues/new?labels=type%2Ffeature&template=feature_request.yml
   stream_error: |-
     Feature is not yet implemented: Window function with empty PARTITION BY is not supported yet
     No tracking issue yet. Feel free to submit a feature request at https://github.com/risingwavelabs/risingwave/issues/new?labels=type%2Ffeature&template=feature_request.yml
@@ -86,8 +86,8 @@
       └─LogicalProject { exprs: [t.x, t._row_id, 2:Int32] }
         └─LogicalScan { table: t, columns: [t.x, t._row_id] }
   batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
+    Feature is not yet implemented: Window function with empty PARTITION BY is not supported yet
+    No tracking issue yet. Feel free to submit a feature request at https://github.com/risingwavelabs/risingwave/issues/new?labels=type%2Ffeature&template=feature_request.yml
   stream_error: |-
     Feature is not yet implemented: Window function with empty PARTITION BY is not supported yet
     No tracking issue yet. Feel free to submit a feature request at https://github.com/risingwavelabs/risingwave/issues/new?labels=type%2Ffeature&template=feature_request.yml
@@ -110,14 +110,17 @@
     └─LogicalOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
+      └─BatchExchange { order: [t.y ASC, t.x ASC], dist: HashShard(t.y) }
+        └─BatchSort { order: [t.y ASC, t.x ASC] }
+          └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden), lag], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
       └─StreamExchange { dist: HashShard(t.y) }
         └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: lag with over clause, ignoring frame definition
   sql: |
     create table t(x int, y int);
@@ -127,14 +130,17 @@
     └─LogicalOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
+      └─BatchExchange { order: [t.y ASC, t.x ASC], dist: HashShard(t.y) }
+        └─BatchSort { order: [t.y ASC, t.x ASC] }
+          └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden), lag], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING)] }
       └─StreamExchange { dist: HashShard(t.y) }
         └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: aggregate with empty over clause
   sql: |
     create table t(x int);
@@ -195,14 +201,17 @@
     └─LogicalOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 10 PRECEDING AND CURRENT ROW)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 10 PRECEDING AND CURRENT ROW)] }
+      └─BatchExchange { order: [t.y ASC], dist: HashShard(t.y) }
+        └─BatchSort { order: [t.y ASC] }
+          └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden), min], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 10 PRECEDING AND CURRENT ROW)] }
       └─StreamExchange { dist: HashShard(t.y) }
         └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: aggregate with over clause, rows frame definition with between, without ORDER BY
   sql: |
     create table t(x int, y int);
@@ -212,14 +221,17 @@
     └─LogicalOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 1 PRECEDING AND 2 FOLLOWING)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 1 PRECEDING AND 2 FOLLOWING)] }
+      └─BatchExchange { order: [t.y ASC], dist: HashShard(t.y) }
+        └─BatchSort { order: [t.y ASC] }
+          └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden), min], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamOverWindow { window_functions: [min(t.x) OVER(PARTITION BY t.y ROWS BETWEEN 1 PRECEDING AND 2 FOLLOWING)] }
       └─StreamExchange { dist: HashShard(t.y) }
         └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: aggregate with over clause, invalid frame definition case 1
   sql: |
     create table t(x int, y int);
@@ -267,14 +279,17 @@
     └─LogicalOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
+      └─BatchExchange { order: [t.y ASC, t.x DESC], dist: HashShard(t.y) }
+        └─BatchSort { order: [t.y ASC, t.x DESC] }
+          └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden), first_value], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamOverWindow { window_functions: [first_value(t.x) OVER(PARTITION BY t.y ORDER BY t.x DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
       └─StreamExchange { dist: HashShard(t.y) }
         └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: more aggregate functions
   sql: |
     create table t(x int, y int, z int, w int);
@@ -289,6 +304,16 @@
         └─LogicalOverWindow { window_functions: [sum($expr1) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum($expr2) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count($expr2) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum($expr3) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum(t.x) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count(t.x) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
           └─LogicalProject { exprs: [t.x, t.y, t.z, t.w, t._row_id, ((t.x - t.y) * (t.x - t.y)) as $expr1, (t.x - t.y) as $expr2, (t.x * t.x) as $expr3] }
             └─LogicalScan { table: t, columns: [t.x, t.y, t.z, t.w, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchProject { exprs: [t.x, t.y, t.z, Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / count::Decimal)) as $expr4, Case((count <= 1:Int64), null:Decimal, Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / (count - 1:Int64)::Decimal))) as $expr5] }
+      └─BatchFilter { predicate: (Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / count::Decimal)) <= 3.0:Decimal) AND (Case((count <= 1:Int64), null:Decimal, Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / (count - 1:Int64)::Decimal))) > 1.0:Decimal) }
+        └─BatchOverWindow { window_functions: [sum($expr1) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum($expr2) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count($expr2) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum($expr3) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), sum(t.x) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count(t.x) OVER(PARTITION BY t.z ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
+          └─BatchExchange { order: [t.z ASC, t.x ASC], dist: HashShard(t.z) }
+            └─BatchSort { order: [t.z ASC, t.x ASC] }
+              └─BatchProject { exprs: [t.x, t.y, t.z, ((t.x - t.y) * (t.x - t.y)) as $expr1, (t.x - t.y) as $expr2, (t.x * t.x) as $expr3] }
+                └─BatchFilter { predicate: (t.z > 0:Int32) AND (t.y > 0:Int32) AND (t.x > 0:Int32) }
+                  └─BatchScan { table: t, columns: [t.x, t.y, t.z], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, z, res0, res1, t._row_id(hidden)], stream_key: [t._row_id, z], pk_columns: [t._row_id, z], pk_conflict: NoCheck }
     └─StreamProject { exprs: [t.x, t.y, t.z, Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / count::Decimal)) as $expr4, Case((count <= 1:Int64), null:Decimal, Sqrt(((sum::Decimal - ((sum::Decimal * sum::Decimal) / count::Decimal)) / (count - 1:Int64)::Decimal))) as $expr5, t._row_id] }
@@ -298,9 +323,6 @@
             └─StreamProject { exprs: [t.x, t.y, t.z, ((t.x - t.y) * (t.x - t.y)) as $expr1, (t.x - t.y) as $expr2, (t.x * t.x) as $expr3, t._row_id] }
               └─StreamFilter { predicate: (t.z > 0:Int32) AND (t.y > 0:Int32) AND (t.x > 0:Int32) }
                 └─StreamTableScan { table: t, columns: [t.x, t.y, t.z, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: aggregate with expression in func arguments and over clause
   sql: |
     create table t(x int, y int, z int, w int);
@@ -321,6 +343,16 @@
       └─LogicalOverWindow { window_functions: [sum($expr1) OVER(PARTITION BY $expr3 ORDER BY $expr2 ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count($expr1) OVER(PARTITION BY $expr3 ORDER BY $expr2 ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
         └─LogicalProject { exprs: [t.x, t.y, t.z, (t.z * t.z) as $expr1, Abs(t.w) as $expr2, (t.y + 1:Int32) as $expr3] }
           └─LogicalScan { table: t, columns: [t.x, t.y, t.z, t.w], predicate: (t.z > 0:Int32) AND (t.y > 0:Int32) AND (t.x > 0:Int32) }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchProject { exprs: [t.x, t.y, t.z, (sum::Decimal / count::Decimal) as $expr4] }
+      └─BatchFilter { predicate: ((sum::Decimal / count::Decimal) <= 3.0:Decimal) }
+        └─BatchOverWindow { window_functions: [sum($expr1) OVER(PARTITION BY $expr3 ORDER BY $expr2 ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), count($expr1) OVER(PARTITION BY $expr3 ORDER BY $expr2 ASC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
+          └─BatchExchange { order: [$expr3 ASC, $expr2 ASC], dist: HashShard($expr3) }
+            └─BatchSort { order: [$expr3 ASC, $expr2 ASC] }
+              └─BatchProject { exprs: [t.x, t.y, t.z, (t.z * t.z) as $expr1, Abs(t.w) as $expr2, (t.y + 1:Int32) as $expr3] }
+                └─BatchFilter { predicate: (t.z > 0:Int32) AND (t.y > 0:Int32) AND (t.x > 0:Int32) }
+                  └─BatchScan { table: t, columns: [t.x, t.y, t.z, t.w], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, z, res, t._row_id(hidden), $expr3(hidden)], stream_key: [t._row_id, $expr3], pk_columns: [t._row_id, $expr3], pk_conflict: NoCheck }
     └─StreamProject { exprs: [t.x, t.y, t.z, (sum::Decimal / count::Decimal) as $expr4, t._row_id, $expr3] }
@@ -330,9 +362,6 @@
             └─StreamProject { exprs: [t.x, t.y, t.z, (t.z * t.z) as $expr1, Abs(t.w) as $expr2, (t.y + 1:Int32) as $expr3, t._row_id] }
               └─StreamFilter { predicate: (t.z > 0:Int32) AND (t.y > 0:Int32) AND (t.x > 0:Int32) }
                 └─StreamTableScan { table: t, columns: [t.x, t.y, t.z, t.w, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: row_number with empty over clause
   sql: |
     create table t(x int);
@@ -348,8 +377,8 @@
       └─LogicalProject { exprs: [t.x, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t._row_id] }
   batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
+    Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
+    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
   stream_error: |-
     Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
     Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
@@ -362,15 +391,19 @@
     └─LogicalOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.y ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
       └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
         └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchProject { exprs: [row_number] }
+      └─BatchOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.y ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
+        └─BatchExchange { order: [t.x ASC, t.y ASC], dist: HashShard(t.x) }
+          └─BatchSort { order: [t.x ASC, t.y ASC] }
+            └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [row_number, t._row_id(hidden), t.x(hidden)], stream_key: [t._row_id, t.x], pk_columns: [t._row_id, t.x], pk_conflict: NoCheck }
     └─StreamProject { exprs: [row_number, t._row_id, t.x] }
       └─StreamOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.y ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
         └─StreamExchange { dist: HashShard(t.x) }
           └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: TopN by row_number with rank output
   sql: |
     create table t(x int);
@@ -384,15 +417,19 @@
         └─LogicalOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
           └─LogicalProject { exprs: [t.x, t._row_id] }
             └─LogicalScan { table: t, columns: [t.x, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchFilter { predicate: (row_number < 3:Int32) }
+      └─BatchOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
+        └─BatchExchange { order: [t.x ASC, t.x ASC], dist: HashShard(t.x) }
+          └─BatchSort { order: [t.x ASC, t.x ASC] }
+            └─BatchScan { table: t, columns: [t.x], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, t._row_id(hidden), rank], stream_key: [t._row_id, x], pk_columns: [t._row_id, x], pk_conflict: NoCheck }
     └─StreamFilter { predicate: (row_number < 3:Int32) }
       └─StreamOverWindow { window_functions: [row_number() OVER(PARTITION BY t.x ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
         └─StreamExchange { dist: HashShard(t.x) }
           └─StreamTableScan { table: t, columns: [t.x, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: TopN by row_number without rank output, 1
   sql: |
     create table t(x int, y int);
@@ -491,8 +528,8 @@
           └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
             └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
   batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
+    Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
+    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
   stream_error: |-
     Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
     Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
@@ -580,6 +617,14 @@
         └─LogicalOverWindow { window_functions: [row_number() OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
           └─LogicalProject { exprs: [t.x, t.y, t._row_id] }
             └─LogicalScan { table: t, columns: [t.x, t.y, t._row_id] }
+  batch_plan: |-
+    BatchExchange { order: [], dist: Single }
+    └─BatchProject { exprs: [t.x, t.y] }
+      └─BatchFilter { predicate: (3:Int32 < row_number) AND (row_number = 6:Int32) AND (row_number <= 5:Int32) }
+        └─BatchOverWindow { window_functions: [row_number() OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
+          └─BatchExchange { order: [t.y ASC, t.x ASC], dist: HashShard(t.y) }
+            └─BatchSort { order: [t.y ASC, t.x ASC] }
+              └─BatchScan { table: t, columns: [t.x, t.y], distribution: SomeShard }
   stream_plan: |-
     StreamMaterialize { columns: [x, y, t._row_id(hidden)], stream_key: [t._row_id, y], pk_columns: [t._row_id, y], pk_conflict: NoCheck }
     └─StreamProject { exprs: [t.x, t.y, t._row_id] }
@@ -587,9 +632,6 @@
         └─StreamOverWindow { window_functions: [row_number() OVER(PARTITION BY t.y ORDER BY t.x ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
           └─StreamExchange { dist: HashShard(t.y) }
             └─StreamTableScan { table: t, columns: [t.x, t.y, t._row_id], pk: [t._row_id], dist: UpstreamHashShard(t._row_id) }
-  batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
 - id: Deduplication (Top1) by row_number
   sql: |
     create table t(x int, y int);
@@ -843,8 +885,8 @@
         └─LogicalOverWindow { window_functions: [rank() OVER(PARTITION BY t.x ORDER BY t.y ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING), row_number() OVER(PARTITION BY t.x ORDER BY t.y ASC ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)] }
           └─LogicalScan { table: t, columns: [t.x, t.y, t.z] }
   batch_error: |-
-    Feature is not yet implemented: Batch over window is not implemented yet
-    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/9124
+    Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
+    Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
   stream_error: |-
     Feature is not yet implemented: `rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet
     Tracking issue: https://github.com/risingwavelabs/risingwave/issues/8965
diff --git a/src/frontend/src/catalog/system_catalog/rw_catalog/mod.rs b/src/frontend/src/catalog/system_catalog/rw_catalog/mod.rs
index 94de333ac206..574326cfb785 100644
--- a/src/frontend/src/catalog/system_catalog/rw_catalog/mod.rs
+++ b/src/frontend/src/catalog/system_catalog/rw_catalog/mod.rs
@@ -39,6 +39,7 @@ use risingwave_common::error::Result;
 use risingwave_common::row::OwnedRow;
 use risingwave_common::types::{ScalarImpl, Timestamp};
 use risingwave_common::util::epoch::Epoch;
+use risingwave_pb::stream_plan::FragmentTypeFlag;
 use risingwave_pb::user::grant_privilege::Object;
 pub use rw_actors::*;
 pub use rw_connections::*;
@@ -644,6 +645,13 @@ impl SysCatalogReaderImpl {
                             .map(|id| Some(ScalarImpl::Int32(id as i32)))
                             .collect_vec(),
                     ))),
+                    Some(ScalarImpl::List(ListValue::new(
+                        Self::extract_fragment_type_flag(distribution.fragment_type_mask)
+                            .into_iter()
+                            .flat_map(|t| t.as_str_name().strip_prefix("FRAGMENT_TYPE_FLAG_"))
+                            .map(|t| Some(ScalarImpl::Utf8(t.into())))
+                            .collect_vec(),
+                    ))),
                 ])
             })
             .collect_vec())
@@ -679,4 +687,34 @@ impl SysCatalogReaderImpl {
         }
         Ok(rows)
     }
+
+    fn extract_fragment_type_flag(mask: u32) -> Vec<FragmentTypeFlag> {
+        let mut result = vec![];
+        for i in 0..32 {
+            let bit = 1 << i;
+            if mask & bit != 0 {
+                match FragmentTypeFlag::from_i32(bit as i32) {
+                    None => continue,
+                    Some(flag) => result.push(flag),
+                };
+            }
+        }
+        result
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use risingwave_pb::stream_plan::FragmentTypeFlag;
+
+    use crate::catalog::system_catalog::SysCatalogReaderImpl;
+
+    #[test]
+    fn test_extract_mask() {
+        let mask = (FragmentTypeFlag::Source as u32) | (FragmentTypeFlag::ChainNode as u32);
+        let result = SysCatalogReaderImpl::extract_fragment_type_flag(mask);
+        assert_eq!(result.len(), 2);
+        assert!(result.contains(&FragmentTypeFlag::Source));
+        assert!(result.contains(&FragmentTypeFlag::ChainNode))
+    }
 }
diff --git a/src/frontend/src/catalog/system_catalog/rw_catalog/rw_fragments.rs b/src/frontend/src/catalog/system_catalog/rw_catalog/rw_fragments.rs
index 84bf176e54ed..bcdd61956b1f 100644
--- a/src/frontend/src/catalog/system_catalog/rw_catalog/rw_fragments.rs
+++ b/src/frontend/src/catalog/system_catalog/rw_catalog/rw_fragments.rs
@@ -30,5 +30,6 @@ pub static RW_FRAGMENTS_COLUMNS: LazyLock<Vec<SystemCatalogColumnsDef<'_>>> = La
             DataType::List(Box::new(DataType::Int32)),
             "upstream_fragment_ids",
         ),
+        (DataType::List(Box::new(DataType::Varchar)), "flags"),
     ]
 });
diff --git a/src/frontend/src/handler/create_function.rs b/src/frontend/src/handler/create_function.rs
index 52ac41916aec..856e75d1696d 100644
--- a/src/frontend/src/handler/create_function.rs
+++ b/src/frontend/src/handler/create_function.rs
@@ -125,12 +125,17 @@ pub async fn handle_create_function(
     fn to_field(data_type: arrow_schema::DataType) -> arrow_schema::Field {
         arrow_schema::Field::new("", data_type, true)
     }
-    let args = arrow_schema::Schema::new(arg_types.iter().map(|t| to_field(t.into())).collect());
+    let args = arrow_schema::Schema::new(
+        arg_types
+            .iter()
+            .map::<Result<_>, _>(|t| Ok(to_field(t.try_into()?)))
+            .try_collect()?,
+    );
     let returns = arrow_schema::Schema::new(match kind {
-        Kind::Scalar(_) => vec![to_field(return_type.clone().into())],
+        Kind::Scalar(_) => vec![to_field(return_type.clone().try_into()?)],
         Kind::Table(_) => vec![
             arrow_schema::Field::new("row_index", arrow_schema::DataType::Int32, true),
-            to_field(return_type.clone().into()),
+            to_field(return_type.clone().try_into()?),
         ],
         _ => unreachable!(),
     });
diff --git a/src/frontend/src/handler/flush.rs b/src/frontend/src/handler/flush.rs
index 5ef8b51ca80b..8e6d48170420 100644
--- a/src/frontend/src/handler/flush.rs
+++ b/src/frontend/src/handler/flush.rs
@@ -27,9 +27,14 @@ pub(super) async fn handle_flush(handler_args: HandlerArgs) -> Result<RwPgRespon
 pub(crate) async fn do_flush(session: &SessionImpl) -> Result<()> {
     let client = session.env().meta_client();
     let snapshot = client.flush(true).await?;
+
+    // Wait for the snapshot to be synchronized, so that future reads in this session can see
+    // previous writes.
     session
         .env()
         .hummock_snapshot_manager()
-        .update_epoch(snapshot);
+        .wait(snapshot)
+        .await;
+
     Ok(())
 }
diff --git a/src/frontend/src/handler/query.rs b/src/frontend/src/handler/query.rs
index 40ca616102f3..7bb6c0202852 100644
--- a/src/frontend/src/handler/query.rs
+++ b/src/frontend/src/handler/query.rs
@@ -461,10 +461,11 @@ async fn distribute_execute(
         .map_err(|err| err.into())
 }
 
+#[expect(clippy::unused_async)]
 async fn local_execute(session: Arc<SessionImpl>, query: Query) -> Result<LocalQueryStream> {
     let front_env = session.env();
     // TODO: if there's no table scan, we don't need to acquire snapshot.
-    let snapshot = session.pinned_snapshot().await?;
+    let snapshot = session.pinned_snapshot();
 
     // TODO: Passing sql here
     let execution = LocalQueryExecution::new(
diff --git a/src/frontend/src/handler/transaction.rs b/src/frontend/src/handler/transaction.rs
index 4c8a63c3db49..d4ce5d303ff1 100644
--- a/src/frontend/src/handler/transaction.rs
+++ b/src/frontend/src/handler/transaction.rs
@@ -56,7 +56,6 @@ pub async fn handle_begin(
 
     session.txn_begin_explicit(access_mode);
 
-    // TODO: pgwire integration of the transaction state
     Ok(RwPgResponse::empty_result(stmt_type))
 }
 
@@ -74,7 +73,6 @@ pub async fn handle_commit(
 
     session.txn_commit_explicit();
 
-    // TODO: pgwire integration of the transaction state
     Ok(RwPgResponse::empty_result(stmt_type))
 }
 
@@ -92,6 +90,5 @@ pub async fn handle_rollback(
 
     session.txn_rollback_explicit();
 
-    // TODO: pgwire integration of the transaction state
     Ok(RwPgResponse::empty_result(stmt_type))
 }
diff --git a/src/frontend/src/observer/observer_manager.rs b/src/frontend/src/observer/observer_manager.rs
index cc7e2e17bdbb..6d3586ef84cb 100644
--- a/src/frontend/src/observer/observer_manager.rs
+++ b/src/frontend/src/observer/observer_manager.rs
@@ -165,7 +165,7 @@ impl ObserverState for FrontendObserverNode {
             convert_pu_mapping(&serving_parallel_unit_mappings),
         );
         self.hummock_snapshot_manager
-            .update_epoch(hummock_snapshot.unwrap());
+            .update(hummock_snapshot.unwrap());
 
         let snapshot_version = version.unwrap();
         catalog_guard.set_version(snapshot_version.catalog_version);
@@ -407,7 +407,7 @@ impl FrontendObserverNode {
             Info::HummockSnapshot(hummock_snapshot) => match resp.operation() {
                 Operation::Update => {
                     self.hummock_snapshot_manager
-                        .update_epoch(hummock_snapshot.clone());
+                        .update(hummock_snapshot.clone());
                 }
                 _ => panic!("receive an unsupported notify {:?}", resp),
             },
diff --git a/src/frontend/src/optimizer/logical_optimization.rs b/src/frontend/src/optimizer/logical_optimization.rs
index 0fe9f610dd8b..a976d41ba66f 100644
--- a/src/frontend/src/optimizer/logical_optimization.rs
+++ b/src/frontend/src/optimizer/logical_optimization.rs
@@ -422,13 +422,8 @@ impl LogicalOptimizer {
     }
 
     pub fn inline_now_proc_time(plan: PlanRef, ctx: &OptimizerContextRef) -> PlanRef {
-        // FIXME: This may differ from the snapshot we use for actual execution. We should instead
-        // use a pinned snapshot consistently during optimization and execution.
-        let epoch = ctx
-            .session_ctx()
-            .env()
-            .hummock_snapshot_manager()
-            .latest_snapshot_current_epoch();
+        // TODO: if there's no `NOW()` or `PROCTIME()`, we don't need to acquire snapshot.
+        let epoch = ctx.session_ctx().pinned_snapshot().epoch();
 
         let plan = plan.rewrite_exprs_recursive(&mut InlineNowProcTime::new(epoch));
 
diff --git a/src/frontend/src/optimizer/plan_node/batch_over_window.rs b/src/frontend/src/optimizer/plan_node/batch_over_window.rs
new file mode 100644
index 000000000000..aa6e53246697
--- /dev/null
+++ b/src/frontend/src/optimizer/plan_node/batch_over_window.rs
@@ -0,0 +1,116 @@
+// Copyright 2023 RisingWave Labs
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use risingwave_common::error::Result;
+use risingwave_common::util::sort_util::{ColumnOrder, OrderType};
+use risingwave_pb::batch_plan::plan_node::NodeBody;
+use risingwave_pb::batch_plan::SortOverWindowNode;
+
+use super::generic::PlanWindowFunction;
+use super::utils::impl_distill_by_unit;
+use super::{
+    generic, ExprRewritable, PlanBase, PlanRef, PlanTreeNodeUnary, ToBatchPb, ToDistributedBatch,
+    ToLocalBatch,
+};
+use crate::optimizer::property::{Order, RequiredDist};
+
+#[derive(Debug, Clone, PartialEq, Eq, Hash)]
+pub struct BatchOverWindow {
+    pub base: PlanBase,
+    logical: generic::OverWindow<PlanRef>,
+}
+
+impl BatchOverWindow {
+    pub fn new(logical: generic::OverWindow<PlanRef>) -> Self {
+        assert!(logical.funcs_have_same_partition_and_order());
+
+        let input = &logical.input;
+        let input_dist = input.distribution().clone();
+
+        let order = Order::new(
+            logical
+                .partition_key_indices()
+                .into_iter()
+                .map(|idx| ColumnOrder::new(idx, OrderType::default()))
+                .chain(logical.order_key().iter().cloned())
+                .collect(),
+        );
+
+        let base = PlanBase::new_batch_from_logical(&logical, input_dist, order);
+        BatchOverWindow { base, logical }
+    }
+
+    fn expected_input_order(&self) -> Order {
+        self.order().clone()
+    }
+}
+
+impl_distill_by_unit!(BatchOverWindow, logical, "BatchOverWindow");
+
+impl PlanTreeNodeUnary for BatchOverWindow {
+    fn input(&self) -> PlanRef {
+        self.logical.input.clone()
+    }
+
+    fn clone_with_input(&self, input: PlanRef) -> Self {
+        let mut logical = self.logical.clone();
+        logical.input = input;
+        Self::new(logical)
+    }
+}
+
+impl_plan_tree_node_for_unary! { BatchOverWindow }
+
+impl ToDistributedBatch for BatchOverWindow {
+    fn to_distributed(&self) -> Result<PlanRef> {
+        let new_input = self.input().to_distributed_with_required(
+            &self.expected_input_order(),
+            &RequiredDist::shard_by_key(
+                self.input().schema().len(),
+                &self.logical.partition_key_indices(),
+            ),
+        )?;
+        Ok(self.clone_with_input(new_input).into())
+    }
+}
+
+impl ToLocalBatch for BatchOverWindow {
+    fn to_local(&self) -> Result<PlanRef> {
+        let new_input = self.input().to_local()?;
+        let new_input = RequiredDist::single()
+            .enforce_if_not_satisfies(new_input, &self.expected_input_order())?;
+        Ok(self.clone_with_input(new_input).into())
+    }
+}
+
+impl ToBatchPb for BatchOverWindow {
+    fn to_batch_prost_body(&self) -> NodeBody {
+        NodeBody::SortOverWindow(SortOverWindowNode {
+            calls: self
+                .logical
+                .window_functions()
+                .iter()
+                .map(PlanWindowFunction::to_protobuf)
+                .collect(),
+            partition_by: self
+                .logical
+                .partition_key_indices()
+                .into_iter()
+                .map(|idx| idx as _)
+                .collect(),
+        })
+    }
+}
+
+impl ExprRewritable for BatchOverWindow {}
diff --git a/src/frontend/src/optimizer/plan_node/generic/over_window.rs b/src/frontend/src/optimizer/plan_node/generic/over_window.rs
index cfe63afbddef..80810871d7c6 100644
--- a/src/frontend/src/optimizer/plan_node/generic/over_window.rs
+++ b/src/frontend/src/optimizer/plan_node/generic/over_window.rs
@@ -154,12 +154,30 @@ impl<PlanRef: GenericPlanRef> OverWindow<PlanRef> {
         self.input.schema().len() + self.window_functions.len()
     }
 
+    pub fn window_functions(&self) -> &[PlanWindowFunction] {
+        &self.window_functions
+    }
+
     pub fn funcs_have_same_partition_and_order(&self) -> bool {
         self.window_functions
             .iter()
             .map(|f| (&f.partition_by, &f.order_by))
             .all_equal()
     }
+
+    pub fn partition_key_indices(&self) -> Vec<usize> {
+        assert!(self.funcs_have_same_partition_and_order());
+        self.window_functions[0]
+            .partition_by
+            .iter()
+            .map(|i| i.index())
+            .collect()
+    }
+
+    pub fn order_key(&self) -> &[ColumnOrder] {
+        assert!(self.funcs_have_same_partition_and_order());
+        &self.window_functions[0].order_by
+    }
 }
 
 impl<PlanRef: GenericPlanRef> DistillUnit for OverWindow<PlanRef> {
diff --git a/src/frontend/src/optimizer/plan_node/logical_agg.rs b/src/frontend/src/optimizer/plan_node/logical_agg.rs
index 087000071759..39da0d1a91f5 100644
--- a/src/frontend/src/optimizer/plan_node/logical_agg.rs
+++ b/src/frontend/src/optimizer/plan_node/logical_agg.rs
@@ -29,6 +29,7 @@ use super::{
 use crate::expr::{
     AggCall, Expr, ExprImpl, ExprRewriter, ExprType, FunctionCall, InputRef, Literal, OrderBy,
 };
+use crate::optimizer::plan_node::generic::GenericPlanNode;
 use crate::optimizer::plan_node::stream::StreamPlanRef;
 use crate::optimizer::plan_node::{
     gen_filter_and_pushdown, BatchSortAgg, ColumnPruningContext, LogicalDedup, LogicalProject,
@@ -791,12 +792,12 @@ impl LogicalAgg {
     }
 
     #[must_use]
-    fn rewrite_with_input_agg(
+    pub fn rewrite_with_input_agg(
         &self,
         input: PlanRef,
         agg_calls: &[PlanAggCall],
         mut input_col_change: ColIndexMapping,
-    ) -> Self {
+    ) -> (Self, ColIndexMapping) {
         let agg_calls = agg_calls
             .iter()
             .cloned()
@@ -811,17 +812,37 @@ impl LogicalAgg {
                 agg_call
             })
             .collect();
-        let group_key = self
+        // This is the group key order should be after rewriting.
+        let group_key_in_vec: Vec<usize> = self
             .group_key()
             .indices()
             .map(|key| input_col_change.map(key))
             .collect();
+        // This is the group key order we get after rewriting.
+        let group_key: IndexSet = group_key_in_vec.iter().cloned().collect();
         let grouping_sets = self
             .grouping_sets()
             .iter()
             .map(|set| set.indices().map(|key| input_col_change.map(key)).collect())
             .collect();
-        Agg::new_with_grouping_sets(agg_calls, group_key, grouping_sets, input).into()
+
+        let new_agg =
+            Agg::new_with_grouping_sets(agg_calls, group_key.clone(), grouping_sets, input);
+
+        // group_key remapping might cause an output column change, since group key actually is a
+        // `FixedBitSet`.
+        let mut out_col_change = vec![];
+        for idx in group_key_in_vec {
+            let pos = group_key.indices().position(|x| x == idx).unwrap();
+            out_col_change.push(pos);
+        }
+        for i in (group_key.len())..new_agg.schema().len() {
+            out_col_change.push(i);
+        }
+        let out_col_change =
+            ColIndexMapping::with_remaining_columns(&out_col_change, new_agg.schema().len());
+
+        (new_agg.into(), out_col_change)
     }
 }
 
@@ -846,10 +867,7 @@ impl PlanTreeNodeUnary for LogicalAgg {
         input: PlanRef,
         input_col_change: ColIndexMapping,
     ) -> (Self, ColIndexMapping) {
-        let agg = self.rewrite_with_input_agg(input, self.agg_calls(), input_col_change);
-        // change the input columns index will not change the output column index
-        let out_col_change = ColIndexMapping::identity(agg.schema().len());
-        (agg, out_col_change)
+        self.rewrite_with_input_agg(input, self.agg_calls(), input_col_change)
     }
 }
 
@@ -910,7 +928,10 @@ impl ColPrunable for LogicalAgg {
         );
         let agg = {
             let input = self.input().prune_col(&input_required_cols, ctx);
-            self.rewrite_with_input_agg(input, &agg_calls, input_col_change)
+            let (agg, output_col_change) =
+                self.rewrite_with_input_agg(input, &agg_calls, input_col_change);
+            assert!(output_col_change.is_identity());
+            agg
         };
         let new_output_cols = {
             // group key were never pruned or even re-ordered in current impl
diff --git a/src/frontend/src/optimizer/plan_node/logical_expand.rs b/src/frontend/src/optimizer/plan_node/logical_expand.rs
index 25db5d309929..7e4acad92b42 100644
--- a/src/frontend/src/optimizer/plan_node/logical_expand.rs
+++ b/src/frontend/src/optimizer/plan_node/logical_expand.rs
@@ -109,10 +109,12 @@ impl_plan_tree_node_for_unary! {LogicalExpand}
 impl_distill_by_unit!(LogicalExpand, core, "LogicalExpand");
 
 impl ColPrunable for LogicalExpand {
-    fn prune_col(&self, required_cols: &[usize], _ctx: &mut ColumnPruningContext) -> PlanRef {
+    fn prune_col(&self, required_cols: &[usize], ctx: &mut ColumnPruningContext) -> PlanRef {
         // No pruning.
+        let input_required_cols = (0..self.input().schema().len()).collect_vec();
         LogicalProject::with_out_col_idx(
-            self.clone_with_input(self.input()).into(),
+            self.clone_with_input(self.input().prune_col(&input_required_cols, ctx))
+                .into(),
             required_cols.iter().cloned(),
         )
         .into()
diff --git a/src/frontend/src/optimizer/plan_node/logical_over_window.rs b/src/frontend/src/optimizer/plan_node/logical_over_window.rs
index 62f78a0d6803..ae4930e090ee 100644
--- a/src/frontend/src/optimizer/plan_node/logical_over_window.rs
+++ b/src/frontend/src/optimizer/plan_node/logical_over_window.rs
@@ -23,9 +23,9 @@ use risingwave_expr::function::window::{Frame, FrameBound, WindowFuncKind};
 use super::generic::{GenericPlanRef, OverWindow, PlanWindowFunction, ProjectBuilder};
 use super::utils::impl_distill_by_unit;
 use super::{
-    gen_filter_and_pushdown, ColPrunable, ExprRewritable, LogicalProject, PlanBase, PlanRef,
-    PlanTreeNodeUnary, PredicatePushdown, StreamEowcOverWindow, StreamOverWindow, StreamSort,
-    ToBatch, ToStream,
+    gen_filter_and_pushdown, BatchOverWindow, ColPrunable, ExprRewritable, LogicalProject,
+    PlanBase, PlanRef, PlanTreeNodeUnary, PredicatePushdown, StreamEowcOverWindow,
+    StreamOverWindow, StreamSort, ToBatch, ToStream,
 };
 use crate::expr::{Expr, ExprImpl, ExprType, FunctionCall, InputRef, WindowFunction};
 use crate::optimizer::plan_node::{
@@ -658,11 +658,47 @@ impl PredicatePushdown for LogicalOverWindow {
 
 impl ToBatch for LogicalOverWindow {
     fn to_batch(&self) -> Result<PlanRef> {
-        Err(ErrorCode::NotImplemented(
-            "Batch over window is not implemented yet".to_string(),
-            9124.into(),
-        )
-        .into())
+        if self
+            .window_functions()
+            .iter()
+            .any(|x| matches!(x.kind, WindowFuncKind::Rank | WindowFuncKind::DenseRank))
+        {
+            return Err(ErrorCode::NotImplemented(
+                "`rank` and `dense_rank` function calls that don't match TopN pattern are not supported yet"
+                    .to_string(),
+                8965.into(),
+            )
+            .into());
+        }
+
+        if !self.core.funcs_have_same_partition_and_order() {
+            return Err(ErrorCode::InvalidInputSyntax(
+                "All window functions must have the same PARTITION BY and ORDER BY".to_string(),
+            )
+            .into());
+        }
+
+        // TODO(rc): Let's not introduce too many cases at once. Later we may decide to support
+        // empty PARTITION BY by simply removing the following check.
+        let partition_key_indices = self.window_functions()[0]
+            .partition_by
+            .iter()
+            .map(|e| e.index())
+            .collect_vec();
+        if partition_key_indices.is_empty() {
+            return Err(ErrorCode::NotImplemented(
+                "Window function with empty PARTITION BY is not supported yet".to_string(),
+                None.into(),
+            )
+            .into());
+        }
+
+        let input = self.input().to_batch()?;
+        let new_logical = OverWindow {
+            input,
+            ..self.core.clone()
+        };
+        Ok(BatchOverWindow::new(new_logical).into())
     }
 }
 
diff --git a/src/frontend/src/optimizer/plan_node/mod.rs b/src/frontend/src/optimizer/plan_node/mod.rs
index 26f44c164d21..518a634714f7 100644
--- a/src/frontend/src/optimizer/plan_node/mod.rs
+++ b/src/frontend/src/optimizer/plan_node/mod.rs
@@ -605,6 +605,7 @@ mod batch_insert;
 mod batch_limit;
 mod batch_lookup_join;
 mod batch_nested_loop_join;
+mod batch_over_window;
 mod batch_project;
 mod batch_project_set;
 mod batch_seq_scan;
@@ -688,6 +689,7 @@ pub use batch_insert::BatchInsert;
 pub use batch_limit::BatchLimit;
 pub use batch_lookup_join::BatchLookupJoin;
 pub use batch_nested_loop_join::BatchNestedLoopJoin;
+pub use batch_over_window::BatchOverWindow;
 pub use batch_project::BatchProject;
 pub use batch_project_set::BatchProjectSet;
 pub use batch_seq_scan::BatchSeqScan;
@@ -827,6 +829,7 @@ macro_rules! for_all_plan_nodes {
             , { Batch, Union }
             , { Batch, GroupTopN }
             , { Batch, Source }
+            , { Batch, OverWindow }
             , { Stream, Project }
             , { Stream, Filter }
             , { Stream, TableScan }
@@ -924,6 +927,7 @@ macro_rules! for_batch_plan_nodes {
             , { Batch, Union }
             , { Batch, GroupTopN }
             , { Batch, Source }
+            , { Batch, OverWindow }
         }
     };
 }
diff --git a/src/frontend/src/optimizer/plan_node/stream.rs b/src/frontend/src/optimizer/plan_node/stream.rs
index a4c84c394fb9..6b9037aef2f9 100644
--- a/src/frontend/src/optimizer/plan_node/stream.rs
+++ b/src/frontend/src/optimizer/plan_node/stream.rs
@@ -734,6 +734,7 @@ pub fn to_stream_prost_body(
         }),
         Node::Sink(me) => PbNodeBody::Sink(SinkNode {
             sink_desc: Some(me.sink_desc.to_proto()),
+            table: None, // TODO: Refactor sink to have a generic core.
         }),
         Node::Source(me) => {
             let me = &me.core.catalog;
diff --git a/src/frontend/src/optimizer/plan_node/stream_over_window.rs b/src/frontend/src/optimizer/plan_node/stream_over_window.rs
index fae22be6ffe1..360583c849da 100644
--- a/src/frontend/src/optimizer/plan_node/stream_over_window.rs
+++ b/src/frontend/src/optimizer/plan_node/stream_over_window.rs
@@ -47,22 +47,6 @@ impl StreamOverWindow {
         StreamOverWindow { base, logical }
     }
 
-    fn window_functions(&self) -> &[PlanWindowFunction] {
-        &self.logical.window_functions
-    }
-
-    fn partition_key_indices(&self) -> Vec<usize> {
-        self.window_functions()[0]
-            .partition_by
-            .iter()
-            .map(|i| i.index())
-            .collect()
-    }
-
-    fn order_key(&self) -> &[ColumnOrder] {
-        &self.window_functions()[0].order_by
-    }
-
     fn infer_state_table(&self) -> TableCatalog {
         let mut tbl_builder =
             TableCatalogBuilder::new(self.ctx().with_options().internal_table_subset());
@@ -73,14 +57,14 @@ impl StreamOverWindow {
         }
 
         let mut order_cols = HashSet::new();
-        for idx in self.partition_key_indices() {
+        for idx in self.logical.partition_key_indices() {
             if !order_cols.contains(&idx) {
                 tbl_builder.add_order_column(idx, OrderType::ascending());
                 order_cols.insert(idx);
             }
         }
         let read_prefix_len_hint = tbl_builder.get_current_pk_len();
-        for o in self.order_key() {
+        for o in self.logical.order_key() {
             if !order_cols.contains(&o.column_index) {
                 tbl_builder.add_order_column(o.column_index, o.order_type);
                 order_cols.insert(o.column_index);
@@ -118,19 +102,22 @@ impl StreamNode for StreamOverWindow {
         use risingwave_pb::stream_plan::*;
 
         let calls = self
+            .logical
             .window_functions()
             .iter()
             .map(PlanWindowFunction::to_protobuf)
             .collect();
-        let partition_by = self.window_functions()[0]
-            .partition_by
-            .iter()
-            .map(|i| i.index() as _)
+        let partition_by = self
+            .logical
+            .partition_key_indices()
+            .into_iter()
+            .map(|idx| idx as _)
             .collect();
-        let order_by = self.window_functions()[0]
-            .order_by
+        let order_by = self
+            .logical
+            .order_key()
             .iter()
-            .map(|o| o.to_protobuf())
+            .map(ColumnOrder::to_protobuf)
             .collect();
         let state_table = self
             .infer_state_table()
diff --git a/src/frontend/src/optimizer/plan_node/stream_sink.rs b/src/frontend/src/optimizer/plan_node/stream_sink.rs
index 4b2ab8037d8b..22e4d34c5f17 100644
--- a/src/frontend/src/optimizer/plan_node/stream_sink.rs
+++ b/src/frontend/src/optimizer/plan_node/stream_sink.rs
@@ -18,8 +18,12 @@ use std::io::{Error, ErrorKind};
 use fixedbitset::FixedBitSet;
 use itertools::Itertools;
 use pretty_xmlish::{Pretty, XmlNode};
-use risingwave_common::catalog::ColumnCatalog;
+use risingwave_common::catalog::{ColumnCatalog, Field};
+use risingwave_common::constants::log_store::{
+    EPOCH_COLUMN_INDEX, KV_LOG_STORE_PREDEFINED_COLUMNS, SEQ_ID_COLUMN_INDEX,
+};
 use risingwave_common::error::{ErrorCode, Result};
+use risingwave_common::util::sort_util::OrderType;
 use risingwave_connector::sink::catalog::desc::SinkDesc;
 use risingwave_connector::sink::catalog::{SinkId, SinkType};
 use risingwave_connector::sink::{
@@ -30,12 +34,12 @@ use risingwave_pb::stream_plan::stream_node::PbNodeBody;
 use tracing::info;
 
 use super::derive::{derive_columns, derive_pk};
-use super::utils::{childless_record, Distill, IndicesDisplay};
+use super::utils::{childless_record, Distill, IndicesDisplay, TableCatalogBuilder};
 use super::{ExprRewritable, PlanBase, PlanRef, StreamNode};
 use crate::optimizer::plan_node::PlanTreeNodeUnary;
 use crate::optimizer::property::{Distribution, Order, RequiredDist};
 use crate::stream_fragmenter::BuildFragmentGraphState;
-use crate::WithOptions;
+use crate::{TableCatalog, WithOptions};
 
 /// [`StreamSink`] represents a table/connector sink at the very end of the graph.
 #[derive(Debug, Clone, PartialEq, Eq, Hash)]
@@ -241,6 +245,44 @@ impl StreamSink {
             }
         }
     }
+
+    /// The table schema is: | epoch | seq id | row op | sink columns |
+    /// Pk is: | epoch | seq id |
+    fn infer_kv_log_store_table_catalog(&self) -> TableCatalog {
+        let mut table_catalog_builder =
+            TableCatalogBuilder::new(self.input.ctx().with_options().internal_table_subset());
+
+        let mut value_indices = Vec::with_capacity(
+            KV_LOG_STORE_PREDEFINED_COLUMNS.len() + self.sink_desc.columns.len(),
+        );
+
+        for (name, data_type) in KV_LOG_STORE_PREDEFINED_COLUMNS {
+            let indice = table_catalog_builder.add_column(&Field::with_name(data_type, name));
+            value_indices.push(indice);
+        }
+
+        // The table's pk is composed of `epoch` and `seq_id`.
+        table_catalog_builder.add_order_column(EPOCH_COLUMN_INDEX, OrderType::ascending());
+        table_catalog_builder
+            .add_order_column(SEQ_ID_COLUMN_INDEX, OrderType::ascending_nulls_last());
+        let read_prefix_len_hint = table_catalog_builder.get_current_pk_len();
+
+        let payload_indices = table_catalog_builder.extend_columns(&self.sink_desc().columns);
+
+        value_indices.extend(payload_indices);
+        table_catalog_builder.set_value_indices(value_indices);
+
+        // Modify distribution key indices based on the pre-defined columns.
+        let dist_key = self
+            .input
+            .distribution()
+            .dist_column_indices()
+            .iter()
+            .map(|idx| idx + KV_LOG_STORE_PREDEFINED_COLUMNS.len())
+            .collect_vec();
+
+        table_catalog_builder.build(dist_key, read_prefix_len_hint)
+    }
 }
 
 impl PlanTreeNodeUnary for StreamSink {
@@ -291,11 +333,17 @@ impl Distill for StreamSink {
 }
 
 impl StreamNode for StreamSink {
-    fn to_stream_prost_body(&self, _state: &mut BuildFragmentGraphState) -> PbNodeBody {
+    fn to_stream_prost_body(&self, state: &mut BuildFragmentGraphState) -> PbNodeBody {
         use risingwave_pb::stream_plan::*;
 
+        // We need to create a table for sink with a kv log store.
+        let table = self
+            .infer_kv_log_store_table_catalog()
+            .with_id(state.gen_table_id_wrapped());
+
         PbNodeBody::Sink(SinkNode {
             sink_desc: Some(self.sink_desc.to_proto()),
+            table: Some(table.to_internal_table_prost()),
         })
     }
 }
diff --git a/src/frontend/src/optimizer/plan_node/utils.rs b/src/frontend/src/optimizer/plan_node/utils.rs
index 795d217666da..661c19e1d77b 100644
--- a/src/frontend/src/optimizer/plan_node/utils.rs
+++ b/src/frontend/src/optimizer/plan_node/utils.rs
@@ -24,7 +24,7 @@ use risingwave_common::catalog::{
 use risingwave_common::util::sort_util::{ColumnOrder, OrderType};
 
 use crate::catalog::table_catalog::TableType;
-use crate::catalog::{FragmentId, TableCatalog, TableId};
+use crate::catalog::{ColumnId, FragmentId, TableCatalog, TableId};
 use crate::utils::WithOptions;
 
 #[derive(Default)]
@@ -65,13 +65,30 @@ impl TableCatalogBuilder {
         self.avoid_duplicate_col_name(&mut column_desc);
 
         self.columns.push(ColumnCatalog {
-            column_desc: column_desc.clone(),
+            column_desc,
             // All columns in internal table are invisible to batch query.
             is_hidden: false,
         });
         column_idx
     }
 
+    /// Extend the columns with column ids reset. The input columns should NOT have duplicate names.
+    ///
+    /// Returns the indices of the extended columns.
+    pub fn extend_columns(&mut self, columns: &[ColumnCatalog]) -> Vec<usize> {
+        let base_idx = self.columns.len();
+        columns.iter().enumerate().for_each(|(i, col)| {
+            assert!(!self.column_names.contains_key(col.name()));
+            self.column_names.insert(col.name().to_string(), 0);
+
+            // Reset the column id for the columns.
+            let mut new_col = col.clone();
+            new_col.column_desc.column_id = ColumnId::new((base_idx + i) as _);
+            self.columns.push(new_col);
+        });
+        Vec::from_iter(base_idx..(base_idx + columns.len()))
+    }
+
     /// Check whether need to add a ordered column. Different from value, order desc equal pk in
     /// semantics and they are encoded as storage key.
     pub fn add_order_column(&mut self, column_index: usize, order_type: OrderType) {
diff --git a/src/frontend/src/optimizer/property/distribution.rs b/src/frontend/src/optimizer/property/distribution.rs
index 635ad007b18a..0c95b3b8ea02 100644
--- a/src/frontend/src/optimizer/property/distribution.rs
+++ b/src/frontend/src/optimizer/property/distribution.rs
@@ -299,6 +299,7 @@ impl RequiredDist {
         plan: PlanRef,
         required_order: &Order,
     ) -> Result<PlanRef> {
+        let plan = required_order.enforce_if_not_satisfies(plan)?;
         if !plan.distribution().satisfies(self) {
             Ok(self.enforce(plan, required_order))
         } else {
diff --git a/src/frontend/src/optimizer/rule/grouping_sets_to_expand_rule.rs b/src/frontend/src/optimizer/rule/grouping_sets_to_expand_rule.rs
index 142b16a80fea..171bc470a7dd 100644
--- a/src/frontend/src/optimizer/rule/grouping_sets_to_expand_rule.rs
+++ b/src/frontend/src/optimizer/rule/grouping_sets_to_expand_rule.rs
@@ -26,20 +26,58 @@ impl GroupingSetsToExpandRule {
     pub fn create() -> BoxedRule {
         Box::new(Self {})
     }
+
+    /// TODO: Remove this method when we support column pruning for `Expand`.
+    fn prune_column_for_agg(agg: &LogicalAgg) -> LogicalAgg {
+        let group_key_required_cols = agg.group_key().to_bitset();
+        let agg_call_required_cols = {
+            let input_cnt = agg.input().schema().len();
+            let mut tmp = FixedBitSet::with_capacity(input_cnt);
+
+            agg.agg_calls().iter().for_each(|agg_call| {
+                tmp.extend(agg_call.inputs.iter().map(|x| x.index()));
+                tmp.extend(agg_call.order_by.iter().map(|x| x.column_index));
+                // collect columns used in aggregate filter expressions
+                for i in &agg_call.filter.conjunctions {
+                    tmp.union_with(&i.collect_input_refs(input_cnt));
+                }
+            });
+            tmp
+        };
+
+        let input_required_cols = {
+            let mut tmp = FixedBitSet::with_capacity(agg.input().schema().len());
+            tmp.union_with(&group_key_required_cols);
+            tmp.union_with(&agg_call_required_cols);
+            tmp.ones().collect_vec()
+        };
+        let input_col_change = ColIndexMapping::with_remaining_columns(
+            &input_required_cols,
+            agg.input().schema().len(),
+        );
+        let input =
+            LogicalProject::with_out_col_idx(agg.input(), input_required_cols.iter().cloned())
+                .into();
+
+        let (new_agg, output_col_change) =
+            agg.rewrite_with_input_agg(input, agg.agg_calls(), input_col_change);
+        assert!(output_col_change.is_identity());
+        new_agg
+    }
 }
 
 impl Rule for GroupingSetsToExpandRule {
     fn apply(&self, plan: PlanRef) -> Option<PlanRef> {
         let agg: &LogicalAgg = plan.as_logical_agg()?;
-        let (agg_calls, mut group_keys, grouping_sets, input) = agg.clone().decompose();
+        if agg.grouping_sets().is_empty() {
+            return None;
+        }
+        let agg = Self::prune_column_for_agg(agg);
+        let (agg_calls, mut group_keys, grouping_sets, input) = agg.decompose();
 
         let original_group_keys_num = group_keys.len();
         let input_schema_len = input.schema().len();
 
-        if grouping_sets.is_empty() {
-            return None;
-        }
-
         // TODO: support GROUPING expression.
         // TODO: optimize the case existing only one set.
 
diff --git a/src/frontend/src/scheduler/distributed/query.rs b/src/frontend/src/scheduler/distributed/query.rs
index dbf8b0dea5d2..520f124e6b63 100644
--- a/src/frontend/src/scheduler/distributed/query.rs
+++ b/src/frontend/src/scheduler/distributed/query.rs
@@ -39,9 +39,7 @@ use crate::scheduler::distributed::StageEvent::Scheduled;
 use crate::scheduler::distributed::StageExecution;
 use crate::scheduler::plan_fragmenter::{Query, StageId, ROOT_TASK_ID, ROOT_TASK_OUTPUT_ID};
 use crate::scheduler::worker_node_manager::WorkerNodeSelector;
-use crate::scheduler::{
-    ExecutionContextRef, PinnedHummockSnapshotRef, SchedulerError, SchedulerResult,
-};
+use crate::scheduler::{ExecutionContextRef, ReadSnapshot, SchedulerError, SchedulerResult};
 
 /// Message sent to a `QueryRunner` to control its execution.
 #[derive(Debug)]
@@ -116,7 +114,7 @@ impl QueryExecution {
         &self,
         context: ExecutionContextRef,
         worker_node_manager: WorkerNodeSelector,
-        pinned_snapshot: PinnedHummockSnapshotRef,
+        pinned_snapshot: ReadSnapshot,
         compute_client_pool: ComputeClientPoolRef,
         catalog_reader: CatalogReader,
         query_execution_info: QueryExecutionInfoRef,
@@ -157,7 +155,7 @@ impl QueryExecution {
                 let span = tracing::info_span!(
                     "distributed_execute",
                     query_id = self.query.query_id.id,
-                    epoch = ?pinned_snapshot.get_batch_query_epoch(),
+                    epoch = ?pinned_snapshot.batch_query_epoch(),
                 );
 
                 tracing::trace!("Starting query: {:?}", self.query.query_id);
@@ -200,7 +198,7 @@ impl QueryExecution {
 
     fn gen_stage_executions(
         &self,
-        pinned_snapshot: &PinnedHummockSnapshotRef,
+        pinned_snapshot: &ReadSnapshot,
         context: ExecutionContextRef,
         worker_node_manager: WorkerNodeSelector,
         compute_client_pool: ComputeClientPoolRef,
@@ -219,7 +217,7 @@ impl QueryExecution {
                 .collect::<Vec<Arc<StageExecution>>>();
 
             let stage_exec = Arc::new(StageExecution::new(
-                pinned_snapshot.get_batch_query_epoch(),
+                pinned_snapshot.batch_query_epoch(),
                 self.query.stage_graph.stages[&stage_id].clone(),
                 worker_node_manager.clone(),
                 self.shutdown_tx.clone(),
@@ -268,7 +266,7 @@ impl Debug for QueryRunner {
 }
 
 impl QueryRunner {
-    async fn run(mut self, pinned_snapshot: PinnedHummockSnapshotRef) {
+    async fn run(mut self, pinned_snapshot: ReadSnapshot) {
         self.query_metrics.running_query_num.inc();
         // Start leaf stages.
         let leaf_stages = self.query.leaf_stages();
@@ -460,10 +458,10 @@ pub(crate) mod tests {
     use crate::scheduler::plan_fragmenter::{BatchPlanFragmenter, Query};
     use crate::scheduler::worker_node_manager::{WorkerNodeManager, WorkerNodeSelector};
     use crate::scheduler::{
-        DistributedQueryMetrics, ExecutionContext, HummockSnapshotManager, PinnedHummockSnapshot,
-        QueryExecutionInfo,
+        DistributedQueryMetrics, ExecutionContext, HummockSnapshotManager, QueryExecutionInfo,
+        ReadSnapshot,
     };
-    use crate::session::{transaction, SessionImpl};
+    use crate::session::SessionImpl;
     use crate::test_utils::MockFrontendMetaClient;
     use crate::utils::Condition;
 
@@ -479,8 +477,7 @@ pub(crate) mod tests {
             CatalogReader::new(Arc::new(parking_lot::RwLock::new(Catalog::default())));
         let query = create_query().await;
         let query_id = query.query_id().clone();
-        let txn_id = transaction::Id::new();
-        let pinned_snapshot = hummock_snapshot_manager.acquire(txn_id).await.unwrap();
+        let pinned_snapshot = hummock_snapshot_manager.acquire();
         let query_execution = Arc::new(QueryExecution::new(query, (0, 0)));
         let query_execution_info = Arc::new(RwLock::new(QueryExecutionInfo::new_from_map(
             HashMap::from([(query_id, query_execution.clone())]),
@@ -490,7 +487,10 @@ pub(crate) mod tests {
             .start(
                 ExecutionContext::new(SessionImpl::mock().into()).into(),
                 worker_node_selector,
-                PinnedHummockSnapshot::FrontendPinned(pinned_snapshot, true).into(),
+                ReadSnapshot::FrontendPinned {
+                    snapshot: pinned_snapshot,
+                    is_barrier_read: true
+                },
                 compute_client_pool,
                 catalog_reader,
                 query_execution_info,
diff --git a/src/frontend/src/scheduler/distributed/query_manager.rs b/src/frontend/src/scheduler/distributed/query_manager.rs
index 73ba48780c3d..53fb6d336429 100644
--- a/src/frontend/src/scheduler/distributed/query_manager.rs
+++ b/src/frontend/src/scheduler/distributed/query_manager.rs
@@ -177,7 +177,7 @@ impl QueryManager {
             .add_query(query_id.clone(), query_execution.clone());
 
         // TODO: if there's no table scan, we don't need to acquire snapshot.
-        let pinned_snapshot = context.session().pinned_snapshot().await?;
+        let pinned_snapshot = context.session().pinned_snapshot();
 
         let worker_node_manager_reader = WorkerNodeSelector::new(
             self.worker_node_manager.clone(),
diff --git a/src/frontend/src/scheduler/hummock_snapshot_manager.rs b/src/frontend/src/scheduler/hummock_snapshot_manager.rs
deleted file mode 100644
index bb23d59cdace..000000000000
--- a/src/frontend/src/scheduler/hummock_snapshot_manager.rs
+++ /dev/null
@@ -1,343 +0,0 @@
-// Copyright 2023 RisingWave Labs
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use std::collections::{BTreeMap, HashSet};
-use std::sync::atomic::{AtomicU64, Ordering};
-use std::sync::Arc;
-use std::time::{Duration, Instant};
-
-use anyhow::anyhow;
-use arc_swap::ArcSwap;
-use risingwave_common::util::epoch::{Epoch, INVALID_EPOCH};
-use risingwave_pb::common::{batch_query_epoch, BatchQueryEpoch};
-use risingwave_pb::hummock::HummockSnapshot;
-use tokio::sync::mpsc::UnboundedSender;
-use tokio::sync::oneshot::{channel as once_channel, Sender as Callback};
-use tracing::error;
-
-use crate::meta_client::FrontendMetaClient;
-use crate::scheduler::{SchedulerError, SchedulerResult};
-use crate::session::transaction::Id as TxnId;
-
-const UNPIN_INTERVAL_SECS: u64 = 10;
-
-pub type HummockSnapshotManagerRef = Arc<HummockSnapshotManager>;
-
-pub enum PinnedHummockSnapshot {
-    FrontendPinned(
-        HummockSnapshotGuard,
-        // `is_barrier_read`.
-        // It's embedded here because we always use it together with snapshot.
-        bool,
-    ),
-    /// Other arbitrary epoch, e.g. user specified.
-    /// Availability and consistency of underlying data should be guaranteed accordingly.
-    /// Currently it's only used for querying meta snapshot backup.
-    Other(Epoch),
-}
-
-pub type PinnedHummockSnapshotRef = Arc<PinnedHummockSnapshot>;
-
-impl PinnedHummockSnapshot {
-    pub fn get_batch_query_epoch(&self) -> BatchQueryEpoch {
-        match self {
-            PinnedHummockSnapshot::FrontendPinned(s, is_barrier_read) => {
-                s.get_batch_query_epoch(*is_barrier_read)
-            }
-            PinnedHummockSnapshot::Other(e) => BatchQueryEpoch {
-                epoch: Some(batch_query_epoch::Epoch::Backup(e.0)),
-            },
-        }
-    }
-
-    pub fn support_barrier_read(&self) -> bool {
-        match self {
-            PinnedHummockSnapshot::FrontendPinned(_, is_barrier_read) => *is_barrier_read,
-            PinnedHummockSnapshot::Other(_) => false,
-        }
-    }
-}
-
-type SnapshotRef = Arc<ArcSwap<HummockSnapshot>>;
-
-/// Cache of hummock snapshot in meta.
-pub struct HummockSnapshotManager {
-    /// Send epoch-related operations to `HummockSnapshotManagerCore` for async batch handling.
-    sender: UnboundedSender<EpochOperation>,
-
-    /// The latest snapshot synced from the meta service.
-    ///
-    /// The `max_committed_epoch` and `max_current_epoch` are pushed from meta node to reduce rpc
-    /// number.
-    ///
-    /// We have two epoch(committed and current), We only use `committed_epoch` to pin or unpin,
-    /// because `committed_epoch` always less or equal `current_epoch`, and the data with
-    /// `current_epoch` is always in the shared buffer, so it will never be gc before the data
-    /// of `committed_epoch`.
-    latest_snapshot: SnapshotRef,
-}
-
-#[derive(Debug)]
-enum EpochOperation {
-    RequestEpoch {
-        txn_id: TxnId,
-        sender: Callback<SchedulerResult<HummockSnapshot>>,
-    },
-    ReleaseEpoch {
-        txn_id: TxnId,
-        epoch: u64,
-    },
-    Tick,
-}
-
-pub struct HummockSnapshotGuard {
-    snapshot: HummockSnapshot,
-    txn_id: TxnId,
-    unpin_snapshot_sender: UnboundedSender<EpochOperation>,
-}
-
-impl HummockSnapshotGuard {
-    pub fn get_batch_query_epoch(&self, is_barrier_read: bool) -> BatchQueryEpoch {
-        let epoch = if is_barrier_read {
-            batch_query_epoch::Epoch::Current(self.snapshot.current_epoch)
-        } else {
-            batch_query_epoch::Epoch::Committed(self.snapshot.committed_epoch)
-        };
-        BatchQueryEpoch { epoch: Some(epoch) }
-    }
-}
-
-impl Drop for HummockSnapshotGuard {
-    fn drop(&mut self) {
-        let _ = self
-            .unpin_snapshot_sender
-            .send(EpochOperation::ReleaseEpoch {
-                txn_id: self.txn_id,
-                epoch: self.snapshot.committed_epoch,
-            })
-            .inspect_err(|err| {
-                error!("failed to send release epoch: {}", err);
-            });
-    }
-}
-
-impl HummockSnapshotManager {
-    pub fn new(meta_client: Arc<dyn FrontendMetaClient>) -> Self {
-        let (sender, mut receiver) = tokio::sync::mpsc::unbounded_channel();
-
-        let latest_snapshot = Arc::new(ArcSwap::from_pointee(HummockSnapshot {
-            committed_epoch: INVALID_EPOCH,
-            current_epoch: INVALID_EPOCH,
-        }));
-        let latest_snapshot_cloned = latest_snapshot.clone();
-
-        tokio::spawn(async move {
-            let mut manager = HummockSnapshotManagerCore::new(meta_client, latest_snapshot_cloned);
-            let mut unpin_batches = vec![];
-            let mut pin_batches = vec![];
-            let mut unpin_interval =
-                tokio::time::interval(Duration::from_secs(UNPIN_INTERVAL_SECS));
-            let mut last_unpin_time = Instant::now();
-            loop {
-                let msg = tokio::select! {
-                    _ = unpin_interval.tick() => {
-                        Some(EpochOperation::Tick)
-                    }
-                    m = receiver.recv() => m
-                };
-                match msg {
-                    Some(EpochOperation::RequestEpoch { txn_id, sender }) => {
-                        pin_batches.push((txn_id, sender));
-                    }
-                    Some(EpochOperation::ReleaseEpoch { txn_id, epoch }) => {
-                        unpin_batches.push((txn_id, epoch));
-                    }
-                    Some(EpochOperation::Tick) => {}
-                    None => return,
-                }
-                while let Ok(msg) = receiver.try_recv() {
-                    match msg {
-                        EpochOperation::RequestEpoch { txn_id, sender } => {
-                            pin_batches.push((txn_id, sender));
-                        }
-                        EpochOperation::ReleaseEpoch { txn_id, epoch } => {
-                            unpin_batches.push((txn_id, epoch));
-                        }
-                        EpochOperation::Tick => unreachable!(),
-                    }
-                }
-                if !unpin_batches.is_empty() {
-                    manager.release_epoch(&mut unpin_batches);
-                }
-
-                let need_unpin = last_unpin_time.elapsed().as_secs() >= UNPIN_INTERVAL_SECS;
-                if !pin_batches.is_empty() || need_unpin {
-                    // Note: If we want stronger consistency, we should use
-                    // `get_epoch_for_txn_from_rpc`.
-                    let epoch = manager
-                        .get_epoch_for_txn_from_push(&mut pin_batches)
-                        .committed_epoch;
-                    if need_unpin && epoch > 0 {
-                        manager.unpin_snapshot_before(epoch);
-                        last_unpin_time = Instant::now();
-                    }
-                }
-            }
-        });
-        Self {
-            sender,
-            latest_snapshot,
-        }
-    }
-
-    pub async fn acquire(&self, txn_id: TxnId) -> SchedulerResult<HummockSnapshotGuard> {
-        let (sender, rc) = once_channel();
-        let msg = EpochOperation::RequestEpoch { txn_id, sender };
-        self.sender.send(msg).map_err(|_| {
-            SchedulerError::Internal(anyhow!("Failed to get epoch for transaction: {:?}", txn_id))
-        })?;
-        let snapshot = rc.await.unwrap_or_else(|e| {
-            Err(SchedulerError::Internal(anyhow!(
-                "Failed to get epoch for transaction: {:?}, the rpc thread may panic: {:?}",
-                txn_id,
-                e
-            )))
-        })?;
-        Ok(HummockSnapshotGuard {
-            snapshot,
-            txn_id,
-            unpin_snapshot_sender: self.sender.clone(),
-        })
-    }
-
-    pub fn update_epoch(&self, snapshot: HummockSnapshot) {
-        // Note: currently the snapshot is not only updated from the observer, so we need to take
-        // the `max` here instead of directly replace the snapshot.
-        self.latest_snapshot.rcu(|prev| HummockSnapshot {
-            committed_epoch: std::cmp::max(prev.committed_epoch, snapshot.committed_epoch),
-            current_epoch: std::cmp::max(prev.current_epoch, snapshot.current_epoch),
-        });
-    }
-
-    pub fn latest_snapshot_current_epoch(&self) -> Epoch {
-        self.latest_snapshot.load().current_epoch.into()
-    }
-}
-
-struct HummockSnapshotManagerCore {
-    /// Record the transaction ids that pin each snapshot.
-    /// Send an `unpin_snapshot` RPC when a snapshot is not pinned any more.
-    epoch_to_txn_ids: BTreeMap<u64, HashSet<TxnId>>,
-    meta_client: Arc<dyn FrontendMetaClient>,
-    last_unpin_snapshot: Arc<AtomicU64>,
-    latest_snapshot: SnapshotRef,
-}
-
-impl HummockSnapshotManagerCore {
-    fn new(meta_client: Arc<dyn FrontendMetaClient>, latest_snapshot: SnapshotRef) -> Self {
-        Self {
-            // Initialize by setting `is_outdated` to `true`.
-            meta_client,
-            epoch_to_txn_ids: BTreeMap::default(),
-            last_unpin_snapshot: Arc::new(AtomicU64::new(INVALID_EPOCH)),
-            latest_snapshot,
-        }
-    }
-
-    /// Retrieve max committed epoch and max current epoch from locally cached value, which is
-    /// maintained by meta's notification service.
-    fn get_epoch_for_txn_from_push(
-        &mut self,
-        batches: &mut Vec<(TxnId, Callback<SchedulerResult<HummockSnapshot>>)>,
-    ) -> HummockSnapshot {
-        let snapshot = HummockSnapshot::clone(&self.latest_snapshot.load());
-        self.notify_epoch_assigned_for_txns(&snapshot, batches);
-        snapshot
-    }
-
-    /// Add committed epoch in `epoch_to_txn_ids`, notify transactions with committed epoch and
-    /// current epoch.
-    fn notify_epoch_assigned_for_txns(
-        &mut self,
-        snapshot: &HummockSnapshot,
-        batches: &mut Vec<(TxnId, Callback<SchedulerResult<HummockSnapshot>>)>,
-    ) {
-        if batches.is_empty() {
-            return;
-        }
-        let committed_epoch = snapshot.committed_epoch;
-        let txns = match self.epoch_to_txn_ids.get_mut(&committed_epoch) {
-            None => {
-                self.epoch_to_txn_ids
-                    .insert(committed_epoch, HashSet::default());
-                self.epoch_to_txn_ids.get_mut(&committed_epoch).unwrap()
-            }
-            Some(txns) => txns,
-        };
-        for (id, cb) in batches.drain(..) {
-            txns.insert(id);
-            let _ = cb.send(Ok(snapshot.clone()));
-        }
-    }
-
-    pub fn release_epoch(&mut self, txns: &mut Vec<(TxnId, u64)>) {
-        for (txn_id, epoch) in txns.drain(..) {
-            let txn_ids = self.epoch_to_txn_ids.get_mut(&epoch);
-            if let Some(txn_ids) = txn_ids {
-                txn_ids.remove(&txn_id);
-                if txn_ids.is_empty() {
-                    self.epoch_to_txn_ids.remove(&epoch);
-                }
-            }
-        }
-    }
-
-    pub fn unpin_snapshot_before(&mut self, last_committed_epoch: u64) {
-        // Check the min epoch which still exists running transaction. If there is no running
-        // transaction, we shall unpin snapshot with the last committed epoch.
-        let min_epoch = match self.epoch_to_txn_ids.first_key_value() {
-            Some((epoch, txn_ids)) => {
-                assert!(
-                    !txn_ids.is_empty(),
-                    "No transaction is associated with epoch {}",
-                    epoch
-                );
-                *epoch
-            }
-            None => last_committed_epoch,
-        };
-
-        let last_unpin_snapshot = self.last_unpin_snapshot.load(Ordering::Acquire);
-        tracing::trace!(
-            "Try unpin snapshot: min_epoch {}, last_unpin_snapshot: {}",
-            min_epoch,
-            last_unpin_snapshot
-        );
-
-        if min_epoch <= last_unpin_snapshot {
-            return;
-        }
-
-        let last_unpin_epoch = self.last_unpin_snapshot.clone();
-        let meta_client = self.meta_client.clone();
-        // do not block other requests getting epoch.
-        tokio::spawn(async move {
-            tracing::info!("Unpin epoch {:?} with RPC", min_epoch);
-            match meta_client.unpin_snapshot_before(min_epoch).await {
-                Ok(()) => last_unpin_epoch.store(min_epoch, Ordering::Release),
-                Err(e) => error!("Request meta to unpin snapshot failed {:?}!", e),
-            }
-        });
-    }
-}
diff --git a/src/frontend/src/scheduler/local.rs b/src/frontend/src/scheduler/local.rs
index 509fde3c6c5c..114e21e5af06 100644
--- a/src/frontend/src/scheduler/local.rs
+++ b/src/frontend/src/scheduler/local.rs
@@ -51,7 +51,7 @@ use crate::optimizer::plan_node::PlanNodeType;
 use crate::scheduler::plan_fragmenter::{ExecutionPlanNode, Query, StageId};
 use crate::scheduler::task_context::FrontendBatchTaskContext;
 use crate::scheduler::worker_node_manager::WorkerNodeSelector;
-use crate::scheduler::{PinnedHummockSnapshotRef, SchedulerError, SchedulerResult};
+use crate::scheduler::{ReadSnapshot, SchedulerError, SchedulerResult};
 use crate::session::{AuthContext, FrontendEnv};
 
 pub type LocalQueryStream = ReceiverStream<Result<DataChunk, BoxedError>>;
@@ -62,7 +62,7 @@ pub struct LocalQueryExecution {
     front_env: FrontendEnv,
     // The snapshot will be released when LocalQueryExecution is dropped.
     // TODO
-    snapshot: PinnedHummockSnapshotRef,
+    snapshot: ReadSnapshot,
     auth_context: Arc<AuthContext>,
     shutdown_rx: ShutdownToken,
     worker_node_manager: WorkerNodeSelector,
@@ -73,7 +73,7 @@ impl LocalQueryExecution {
         query: Query,
         front_env: FrontendEnv,
         sql: S,
-        snapshot: PinnedHummockSnapshotRef,
+        snapshot: ReadSnapshot,
         auth_context: Arc<AuthContext>,
         shutdown_rx: ShutdownToken,
     ) -> Self {
@@ -114,7 +114,7 @@ impl LocalQueryExecution {
             &plan_node,
             &task_id,
             context,
-            self.snapshot.get_batch_query_epoch(),
+            self.snapshot.batch_query_epoch(),
             self.shutdown_rx.clone(),
         );
         let executor = executor.build().await?;
@@ -129,7 +129,7 @@ impl LocalQueryExecution {
         let span = tracing::info_span!(
             "local_execute",
             query_id = self.query.query_id.id,
-            epoch = ?self.snapshot.get_batch_query_epoch(),
+            epoch = ?self.snapshot.batch_query_epoch(),
         );
         Box::pin(self.run_inner().instrument(span))
     }
@@ -281,7 +281,7 @@ impl LocalQueryExecution {
                         };
                         let local_execute_plan = LocalExecutePlan {
                             plan: Some(second_stage_plan_fragment),
-                            epoch: Some(self.snapshot.get_batch_query_epoch()),
+                            epoch: Some(self.snapshot.batch_query_epoch()),
                             tracing_context: tracing_context.clone(),
                         };
                         let exchange_source = ExchangeSource {
@@ -315,7 +315,7 @@ impl LocalQueryExecution {
                         };
                         let local_execute_plan = LocalExecutePlan {
                             plan: Some(second_stage_plan_fragment),
-                            epoch: Some(self.snapshot.get_batch_query_epoch()),
+                            epoch: Some(self.snapshot.batch_query_epoch()),
                             tracing_context: tracing_context.clone(),
                         };
                         // NOTE: select a random work node here.
@@ -347,7 +347,7 @@ impl LocalQueryExecution {
 
                     let local_execute_plan = LocalExecutePlan {
                         plan: Some(second_stage_plan_fragment),
-                        epoch: Some(self.snapshot.get_batch_query_epoch()),
+                        epoch: Some(self.snapshot.batch_query_epoch()),
                         tracing_context,
                     };
 
diff --git a/src/frontend/src/scheduler/mod.rs b/src/frontend/src/scheduler/mod.rs
index 0fbf1a2b2f36..d5361f83ff56 100644
--- a/src/frontend/src/scheduler/mod.rs
+++ b/src/frontend/src/scheduler/mod.rs
@@ -24,10 +24,10 @@ use crate::session::SessionImpl;
 
 mod distributed;
 pub use distributed::*;
-mod hummock_snapshot_manager;
-pub use hummock_snapshot_manager::*;
 pub mod plan_fragmenter;
 pub use plan_fragmenter::BatchPlanFragmenter;
+mod snapshot;
+pub use snapshot::*;
 mod local;
 pub use local::*;
 
diff --git a/src/frontend/src/scheduler/snapshot.rs b/src/frontend/src/scheduler/snapshot.rs
new file mode 100644
index 000000000000..bd40e0039619
--- /dev/null
+++ b/src/frontend/src/scheduler/snapshot.rs
@@ -0,0 +1,367 @@
+// Copyright 2023 RisingWave Labs
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::assert_matches::assert_matches;
+use std::collections::btree_map::Entry;
+use std::collections::BTreeMap;
+use std::sync::Arc;
+use std::time::Duration;
+
+use risingwave_common::util::epoch::{Epoch, INVALID_EPOCH};
+use risingwave_pb::common::{batch_query_epoch, BatchQueryEpoch};
+use risingwave_pb::hummock::PbHummockSnapshot;
+use tokio::sync::mpsc::{UnboundedReceiver, UnboundedSender};
+use tokio::sync::watch;
+
+use crate::meta_client::FrontendMetaClient;
+
+/// The interval between two unpin batches.
+const UNPIN_INTERVAL_SECS: u64 = 10;
+
+/// The storage snapshot to read from in a query, which can be freely cloned.
+#[derive(Clone)]
+pub enum ReadSnapshot {
+    /// A frontend-pinned snapshot.
+    FrontendPinned {
+        snapshot: PinnedSnapshotRef,
+        // It's embedded here because we always use it together with snapshot.
+        is_barrier_read: bool,
+    },
+
+    /// Other arbitrary epoch, e.g. user specified.
+    /// Availability and consistency of underlying data should be guaranteed accordingly.
+    /// Currently it's only used for querying meta snapshot backup.
+    Other(Epoch),
+}
+
+impl ReadSnapshot {
+    /// Get the [`BatchQueryEpoch`] for this snapshot.
+    pub fn batch_query_epoch(&self) -> BatchQueryEpoch {
+        match self {
+            ReadSnapshot::FrontendPinned {
+                snapshot,
+                is_barrier_read,
+            } => snapshot.batch_query_epoch(*is_barrier_read),
+            ReadSnapshot::Other(e) => BatchQueryEpoch {
+                epoch: Some(batch_query_epoch::Epoch::Backup(e.0)),
+            },
+        }
+    }
+
+    /// Get the [`Epoch`] value for this snapshot.
+    pub fn epoch(&self) -> Epoch {
+        match self.batch_query_epoch().epoch.unwrap() {
+            batch_query_epoch::Epoch::Committed(epoch)
+            | batch_query_epoch::Epoch::Current(epoch)
+            | batch_query_epoch::Epoch::Backup(epoch) => epoch.into(),
+        }
+    }
+
+    /// Returns true if this snapshot is a barrier read.
+    pub fn support_barrier_read(&self) -> bool {
+        match self {
+            ReadSnapshot::FrontendPinned {
+                snapshot: _,
+                is_barrier_read,
+            } => *is_barrier_read,
+            ReadSnapshot::Other(_) => false,
+        }
+    }
+}
+
+/// A frontend-pinned snapshot that notifies the [`UnpinWorker`] when it's dropped.
+// DO NOT implement `Clone` for `PinnedSnapshot` because it's a "resource" that should always be a
+// singleton for each snapshot. Use `PinnedSnapshotRef` instead.
+pub struct PinnedSnapshot {
+    value: PbHummockSnapshot,
+    unpin_sender: UnboundedSender<Operation>,
+}
+
+impl std::fmt::Debug for PinnedSnapshot {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        self.value.fmt(f)
+    }
+}
+
+/// A reference to a frontend-pinned snapshot.
+pub type PinnedSnapshotRef = Arc<PinnedSnapshot>;
+
+impl PinnedSnapshot {
+    fn batch_query_epoch(&self, is_barrier_read: bool) -> BatchQueryEpoch {
+        let epoch = if is_barrier_read {
+            batch_query_epoch::Epoch::Current(self.value.current_epoch)
+        } else {
+            batch_query_epoch::Epoch::Committed(self.value.committed_epoch)
+        };
+        BatchQueryEpoch { epoch: Some(epoch) }
+    }
+}
+
+impl Drop for PinnedSnapshot {
+    fn drop(&mut self) {
+        let _ = self.unpin_sender.send(Operation::Unpin(self.value.clone()));
+    }
+}
+
+/// Returns an invalid snapshot, used for initial values.
+fn invalid_snapshot() -> PbHummockSnapshot {
+    PbHummockSnapshot {
+        committed_epoch: INVALID_EPOCH,
+        current_epoch: INVALID_EPOCH,
+    }
+}
+
+/// Cache of hummock snapshot in meta.
+pub struct HummockSnapshotManager {
+    /// Send epoch-related operations to [`UnpinWorker`] for managing the pinned snapshots and
+    /// unpin them in a batch through RPC.
+    worker_sender: UnboundedSender<Operation>,
+
+    /// The latest snapshot synced from the meta service.
+    ///
+    /// The `max_committed_epoch` and `max_current_epoch` are pushed from meta node to reduce rpc
+    /// number.
+    ///
+    /// We have two epoch(committed and current), We only use `committed_epoch` to pin or unpin,
+    /// because `committed_epoch` always less or equal `current_epoch`, and the data with
+    /// `current_epoch` is always in the shared buffer, so it will never be gc before the data
+    /// of `committed_epoch`.
+    latest_snapshot: watch::Sender<PinnedSnapshotRef>,
+}
+
+pub type HummockSnapshotManagerRef = Arc<HummockSnapshotManager>;
+
+impl HummockSnapshotManager {
+    pub fn new(meta_client: Arc<dyn FrontendMetaClient>) -> Self {
+        let (worker_sender, worker_receiver) = tokio::sync::mpsc::unbounded_channel();
+
+        tokio::spawn(UnpinWorker::new(meta_client, worker_receiver).run());
+
+        let latest_snapshot = Arc::new(PinnedSnapshot {
+            value: invalid_snapshot(),
+            unpin_sender: worker_sender.clone(),
+        });
+
+        let (latest_snapshot, _) = watch::channel(latest_snapshot);
+
+        Self {
+            worker_sender,
+            latest_snapshot,
+        }
+    }
+
+    /// Acquire the latest snapshot by increasing its reference count.
+    pub fn acquire(&self) -> PinnedSnapshotRef {
+        self.latest_snapshot.borrow().clone()
+    }
+
+    /// Update the latest snapshot.
+    ///
+    /// Should only be called by the observer manager.
+    pub fn update(&self, snapshot: PbHummockSnapshot) {
+        self.latest_snapshot.send_if_modified(move |old_snapshot| {
+            // Note(bugen): theoretically, the snapshots from the observer should always be
+            // monotonically increasing, so there's no need to `max` them or check whether they are
+            // the same. But we still do it here to be safe.
+            // TODO: turn this into an assertion.
+            let snapshot = PbHummockSnapshot {
+                committed_epoch: std::cmp::max(
+                    old_snapshot.value.committed_epoch,
+                    snapshot.committed_epoch,
+                ),
+                current_epoch: std::cmp::max(
+                    old_snapshot.value.current_epoch,
+                    snapshot.current_epoch,
+                ),
+            };
+
+            if old_snapshot.value == snapshot {
+                // Ignore the same snapshot
+                false
+            } else {
+                // First tell the worker that a new snapshot is going to be pinned.
+                self.worker_sender
+                    .send(Operation::Pin(snapshot.clone()))
+                    .unwrap();
+                // Then set the latest snapshot.
+                *old_snapshot = Arc::new(PinnedSnapshot {
+                    value: snapshot,
+                    unpin_sender: self.worker_sender.clone(),
+                });
+
+                true
+            }
+        });
+    }
+
+    /// Wait until the latest snapshot is newer than the given one.
+    pub async fn wait(&self, snapshot: PbHummockSnapshot) {
+        let mut rx = self.latest_snapshot.subscribe();
+        while rx.borrow_and_update().value.committed_epoch < snapshot.committed_epoch {
+            rx.changed().await.unwrap();
+        }
+    }
+}
+
+/// The pin state of a snapshot.
+#[derive(Debug)]
+enum PinState {
+    /// The snapshot is currently pinned by some sessions in this frontend.
+    Pinned,
+
+    /// The snapshot is no longer pinned by any session in this frontend, but it's still considered
+    /// to be pinned by the meta service. It will be unpinned by the [`UnpinWorker`] in the next
+    /// unpin batch through RPC, and the entry will be removed then.
+    Unpinned,
+}
+
+/// The operation handled by the [`UnpinWorker`].
+#[derive(Debug)]
+enum Operation {
+    /// Mark the snapshot as pinned, sent when a new snapshot is pinned with `update`.
+    Pin(PbHummockSnapshot),
+
+    /// Mark the snapshot as unpinned, sent when all references to a [`PinnedSnapshot`] is dropped.
+    Unpin(PbHummockSnapshot),
+}
+
+impl Operation {
+    /// Returns whether the operation is for an invalid snapshot, which should be ignored.
+    fn is_invalid(&self) -> bool {
+        match self {
+            Operation::Pin(s) | Operation::Unpin(s) => s,
+        }
+        .current_epoch
+            == INVALID_EPOCH
+    }
+}
+
+/// The key for the states map in [`UnpinWorker`].
+///
+/// The snapshot will be first sorted by `committed_epoch`, then by `current_epoch`.
+#[derive(Debug, PartialEq, Clone)]
+struct SnapshotKey(PbHummockSnapshot);
+
+impl Eq for SnapshotKey {}
+
+impl Ord for SnapshotKey {
+    fn cmp(&self, other: &Self) -> std::cmp::Ordering {
+        (self.0.committed_epoch, self.0.current_epoch)
+            .cmp(&(other.0.committed_epoch, other.0.current_epoch))
+    }
+}
+
+impl PartialOrd for SnapshotKey {
+    fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
+        Some(self.cmp(other))
+    }
+}
+
+/// The worker that manages the pin states of snapshots and unpins them periodically in a batch
+/// through RPC to the meta service.
+struct UnpinWorker {
+    meta_client: Arc<dyn FrontendMetaClient>,
+
+    /// The receiver of operations from snapshot updating in [`HummockSnapshotManager`] and
+    /// dropping of [`PinnedSnapshot`].
+    receiver: UnboundedReceiver<Operation>,
+
+    /// The pin states of existing snapshots in this frontend.
+    ///
+    /// All snapshots in this map are considered to be pinned by the meta service, those with
+    /// [`PinState::Unpinned`] will be unpinned in the next unpin batch through RPC.
+    states: BTreeMap<SnapshotKey, PinState>,
+}
+
+impl UnpinWorker {
+    fn new(
+        meta_client: Arc<dyn FrontendMetaClient>,
+        receiver: UnboundedReceiver<Operation>,
+    ) -> Self {
+        Self {
+            meta_client,
+            receiver,
+            states: Default::default(),
+        }
+    }
+
+    /// Run the loop of handling operations and unpinning snapshots.
+    async fn run(mut self) {
+        let mut ticker = tokio::time::interval(Duration::from_secs(UNPIN_INTERVAL_SECS));
+        ticker.set_missed_tick_behavior(tokio::time::MissedTickBehavior::Delay);
+
+        loop {
+            tokio::select! {
+                operation = self.receiver.recv() => {
+                    let Some(operation) = operation else { return }; // manager dropped
+                    self.handle_operation(operation);
+                }
+
+                _ = ticker.tick() => {
+                    self.unpin_batch().await;
+                }
+            }
+        }
+    }
+
+    /// Handle an operation and manipulate the states.
+    fn handle_operation(&mut self, operation: Operation) {
+        if operation.is_invalid() {
+            return;
+        }
+
+        match operation {
+            Operation::Pin(snapshot) => {
+                self.states
+                    .try_insert(SnapshotKey(snapshot), PinState::Pinned)
+                    .unwrap();
+            }
+            Operation::Unpin(snapshot) => match self.states.entry(SnapshotKey(snapshot)) {
+                Entry::Vacant(_v) => unreachable!("unpin a snapshot that is not pinned"),
+                Entry::Occupied(o) => {
+                    assert_matches!(o.get(), PinState::Pinned);
+                    *o.into_mut() = PinState::Unpinned;
+                }
+            },
+        }
+    }
+
+    /// Try to unpin all continuous snapshots with [`PinState::Unpinned`] in a batch through RPC,
+    /// and clean up their entries.
+    async fn unpin_batch(&mut self) {
+        // Find the minimum snapshot that is pinned. Unpin all snapshots before it.
+        if let Some(min_snapshot) = self
+            .states
+            .iter()
+            .find(|(_, s)| matches!(s, PinState::Pinned))
+            .map(|(k, _)| k.clone())
+        {
+            if &min_snapshot == self.states.first_key_value().unwrap().0 {
+                // Nothing to unpin.
+                return;
+            }
+
+            let min_epoch = min_snapshot.0.committed_epoch;
+            tracing::info!(min_epoch, "unpin snapshot with RPC");
+
+            match self.meta_client.unpin_snapshot_before(min_epoch).await {
+                Ok(()) => {
+                    // Remove all snapshots before this one.
+                    self.states = self.states.split_off(&min_snapshot);
+                }
+                Err(e) => tracing::error!(%e, min_epoch, "unpin snapshot failed"),
+            }
+        }
+    }
+}
diff --git a/src/frontend/src/session.rs b/src/frontend/src/session.rs
index d1f8d2197d39..1ecc0238fab9 100644
--- a/src/frontend/src/session.rs
+++ b/src/frontend/src/session.rs
@@ -21,6 +21,7 @@ use std::time::Duration;
 use bytes::Bytes;
 use parking_lot::{Mutex, RwLock, RwLockReadGuard};
 use pgwire::pg_field_descriptor::PgFieldDescriptor;
+use pgwire::pg_message::TransactionStatus;
 use pgwire::pg_response::PgResponse;
 use pgwire::pg_server::{BoxedError, Session, SessionId, SessionManager, UserAuthenticator};
 use pgwire::types::Format;
@@ -1042,6 +1043,16 @@ impl Session for SessionImpl {
         let inner = &mut (*self.notices.write());
         std::mem::take(inner)
     }
+
+    fn transaction_status(&self) -> TransactionStatus {
+        match &*self.txn.lock() {
+            transaction::State::Initial | transaction::State::Implicit(_) => {
+                TransactionStatus::Idle
+            }
+            transaction::State::Explicit(_) => TransactionStatus::InTransaction,
+            // TODO: failed transaction
+        }
+    }
 }
 
 /// Returns row description of the statement
diff --git a/src/frontend/src/session/transaction.rs b/src/frontend/src/session/transaction.rs
index c386d28cf29e..5b704266033d 100644
--- a/src/frontend/src/session/transaction.rs
+++ b/src/frontend/src/session/transaction.rs
@@ -17,11 +17,10 @@ use std::sync::{Arc, Weak};
 
 use parking_lot::{MappedMutexGuard, Mutex, MutexGuard};
 use risingwave_common::error::{ErrorCode, Result};
-use tokio::sync::OnceCell;
 
 use super::SessionImpl;
 use crate::catalog::catalog_service::CatalogWriter;
-use crate::scheduler::{PinnedHummockSnapshot, PinnedHummockSnapshotRef, SchedulerResult};
+use crate::scheduler::ReadSnapshot;
 use crate::user::user_service::UserInfoWriter;
 
 /// Globally unique transaction id in this frontend instance.
@@ -30,7 +29,7 @@ pub struct Id(u64);
 
 impl Id {
     /// Creates a new transaction id.
-    #[expect(clippy::new_without_default)]
+    #[allow(clippy::new_without_default)]
     pub fn new() -> Self {
         static NEXT_ID: AtomicU64 = AtomicU64::new(0);
         Self(NEXT_ID.fetch_add(1, Ordering::Relaxed))
@@ -64,7 +63,7 @@ pub struct Context {
 
     /// The snapshot of the transaction, acquired lazily at the first read operation in the
     /// transaction.
-    snapshot: Arc<OnceCell<PinnedHummockSnapshotRef>>,
+    snapshot: Option<ReadSnapshot>,
 }
 
 /// Transaction state.
@@ -120,7 +119,7 @@ impl SessionImpl {
                     snapshot: Default::default(),
                 })
             }
-            State::Implicit(_) => unreachable!(),
+            State::Implicit(_) => unreachable!("implicit transaction is already in progress"),
             State::Explicit(_) => {} /* do nothing since an explicit transaction is already in
                                       * progress */
         }
@@ -135,7 +134,7 @@ impl SessionImpl {
         match &*txn {
             // Since an implicit transaction is always started, we only need to upgrade it to an
             // explicit transaction.
-            State::Initial => unreachable!(),
+            State::Initial => unreachable!("no implicit transaction in progress"),
             State::Implicit(ctx) => {
                 *txn = State::Explicit(Context {
                     id: ctx.id,
@@ -156,7 +155,7 @@ impl SessionImpl {
         let mut txn = self.txn.lock();
 
         match &*txn {
-            State::Initial => unreachable!(),
+            State::Initial => unreachable!("no transaction in progress"),
             State::Implicit(_) => {
                 // TODO: should be warning
                 self.notice_to_user("there is no transaction in progress")
@@ -174,7 +173,7 @@ impl SessionImpl {
         let mut txn = self.txn.lock();
 
         match &*txn {
-            State::Initial => unreachable!(),
+            State::Initial => unreachable!("no transaction in progress"),
             State::Implicit(_) => {
                 // TODO: should be warning
                 self.notice_to_user("there is no transaction in progress")
@@ -189,7 +188,7 @@ impl SessionImpl {
     /// Returns the transaction context.
     fn txn_ctx(&self) -> MappedMutexGuard<'_, Context> {
         MutexGuard::map(self.txn.lock(), |txn| match txn {
-            State::Initial => unreachable!(),
+            State::Initial => unreachable!("no transaction in progress"),
             State::Implicit(ctx) => ctx,
             State::Explicit(ctx) => ctx,
         })
@@ -198,30 +197,27 @@ impl SessionImpl {
     /// Acquires and pins a snapshot for the current transaction.
     ///
     /// If a snapshot is already acquired, returns it directly.
-    pub async fn pinned_snapshot(&self) -> SchedulerResult<PinnedHummockSnapshotRef> {
-        let (id, snapshot) = {
-            let ctx = self.txn_ctx();
-            (ctx.id, ctx.snapshot.clone())
-        };
-
-        snapshot
-            .get_or_try_init(|| async move {
+    pub fn pinned_snapshot(&self) -> ReadSnapshot {
+        self.txn_ctx()
+            .snapshot
+            .get_or_insert_with(|| {
                 let query_epoch = self.config().get_query_epoch();
 
-                let query_snapshot = if let Some(query_epoch) = query_epoch {
-                    PinnedHummockSnapshot::Other(query_epoch)
+                if let Some(query_epoch) = query_epoch {
+                    ReadSnapshot::Other(query_epoch)
                 } else {
                     // Acquire hummock snapshot for execution.
                     let is_barrier_read = self.is_barrier_read();
                     let hummock_snapshot_manager = self.env().hummock_snapshot_manager();
-                    let pinned_snapshot = hummock_snapshot_manager.acquire(id).await?;
-                    PinnedHummockSnapshot::FrontendPinned(pinned_snapshot, is_barrier_read)
-                };
+                    let pinned_snapshot = hummock_snapshot_manager.acquire();
 
-                Ok(query_snapshot.into())
+                    ReadSnapshot::FrontendPinned {
+                        snapshot: pinned_snapshot,
+                        is_barrier_read,
+                    }
+                }
             })
-            .await
-            .cloned()
+            .clone()
     }
 }
 
diff --git a/src/frontend/src/utils/condition.rs b/src/frontend/src/utils/condition.rs
index ff03fe277f46..1c7b31558b6b 100644
--- a/src/frontend/src/utils/condition.rs
+++ b/src/frontend/src/utils/condition.rs
@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::collections::{HashMap, HashSet};
+use std::collections::{BTreeMap, HashSet};
 use std::fmt::{self, Debug, Display};
 use std::ops::Bound;
 use std::rc::Rc;
@@ -170,7 +170,7 @@ impl Condition {
         self,
         input_col_nums: &[usize],
         only_eq: bool,
-    ) -> (HashMap<(usize, usize), Self>, Self) {
+    ) -> (BTreeMap<(usize, usize), Self>, Self) {
         let mut bitmaps = Vec::with_capacity(input_col_nums.len());
         let mut cols_seen = 0;
         for cols in input_col_nums {
@@ -178,7 +178,7 @@ impl Condition {
             cols_seen += cols;
         }
 
-        let mut pairwise_conditions = HashMap::with_capacity(self.conjunctions.len());
+        let mut pairwise_conditions = BTreeMap::new();
         let mut non_eq_join = vec![];
 
         for expr in self.conjunctions {
diff --git a/src/frontend/src/utils/connected_components.rs b/src/frontend/src/utils/connected_components.rs
index 5a61a38bebc7..cbcce2cc79d6 100644
--- a/src/frontend/src/utils/connected_components.rs
+++ b/src/frontend/src/utils/connected_components.rs
@@ -12,21 +12,21 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::collections::{HashMap, HashSet};
+use std::collections::{BTreeMap, BTreeSet};
 
 // TODO: could try to optimize using union-find algorithm
 #[derive(Debug)]
 pub(crate) struct ConnectedComponentLabeller {
-    vertex_to_label: HashMap<usize, usize>,
-    labels_to_vertices: HashMap<usize, HashSet<usize>>,
-    labels_to_edges: HashMap<usize, HashSet<(usize, usize)>>,
+    vertex_to_label: BTreeMap<usize, usize>,
+    labels_to_vertices: BTreeMap<usize, BTreeSet<usize>>,
+    labels_to_edges: BTreeMap<usize, BTreeSet<(usize, usize)>>,
 }
 
 impl ConnectedComponentLabeller {
     pub(crate) fn new(vertices: usize) -> Self {
-        let mut vertex_to_label = HashMap::with_capacity(vertices);
-        let mut labels_to_vertices = HashMap::with_capacity(vertices);
-        let labels_to_edges = HashMap::new();
+        let mut vertex_to_label = BTreeMap::new();
+        let mut labels_to_vertices = BTreeMap::new();
+        let labels_to_edges = BTreeMap::new();
         for i in 0..vertices {
             vertex_to_label.insert(i, i);
             labels_to_vertices.insert(i, vec![i].into_iter().collect());
@@ -53,7 +53,7 @@ impl ConnectedComponentLabeller {
             let edges = self
                 .labels_to_edges
                 .entry(new_label)
-                .or_insert_with(HashSet::new);
+                .or_insert_with(BTreeSet::new);
 
             let new_edge = if v1 < v2 { (v1, v2) } else { (v2, v1) };
             edges.insert(new_edge);
@@ -76,12 +76,12 @@ impl ConnectedComponentLabeller {
             let edges = self
                 .labels_to_edges
                 .entry(new_label)
-                .or_insert_with(HashSet::new);
+                .or_insert_with(BTreeSet::new);
             edges.extend(old_edges);
         }
     }
 
-    pub(crate) fn into_edge_sets(self) -> Vec<HashSet<(usize, usize)>> {
+    pub(crate) fn into_edge_sets(self) -> Vec<BTreeSet<(usize, usize)>> {
         self.labels_to_edges.into_values().collect()
     }
 }
@@ -114,13 +114,13 @@ mod tests {
         assert_eq!(labeller.labels_to_vertices.len(), 1);
         assert_eq!(
             *labeller.labels_to_vertices.iter().next().unwrap().1,
-            (0..7).collect::<HashSet<_>>()
+            (0..7).collect::<BTreeSet<_>>()
         );
         assert_eq!(
             *labeller.labels_to_edges.iter().next().unwrap().1,
             vec![(0, 1), (1, 2), (2, 3), (3, 4), (4, 5), (5, 6)]
                 .into_iter()
-                .collect::<HashSet<_>>()
+                .collect::<BTreeSet<_>>()
         );
     }
 }
diff --git a/src/meta/src/hummock/manager/mod.rs b/src/meta/src/hummock/manager/mod.rs
index a2a88ed36841..25345e9a05ea 100644
--- a/src/meta/src/hummock/manager/mod.rs
+++ b/src/meta/src/hummock/manager/mod.rs
@@ -60,13 +60,14 @@ use crate::hummock::compaction::{CompactStatus, LocalSelectorStatistic, ManualCo
 use crate::hummock::compaction_scheduler::CompactionRequestChannelRef;
 use crate::hummock::error::{Error, Result};
 use crate::hummock::metrics_utils::{
-    trigger_delta_log_stats, trigger_lsm_stat, trigger_pin_unpin_snapshot_state,
+    trigger_delta_log_stats, trigger_lsm_stat, trigger_mv_stat, trigger_pin_unpin_snapshot_state,
     trigger_pin_unpin_version_state, trigger_split_stat, trigger_sst_stat, trigger_version_stat,
     trigger_write_stop_stats,
 };
 use crate::hummock::{CompactorManagerRef, TASK_NORMAL};
 use crate::manager::{
-    CatalogManagerRef, ClusterManagerRef, IdCategory, LocalNotification, MetaSrvEnv, META_NODE_ID,
+    CatalogManagerRef, ClusterManagerRef, FragmentManagerRef, IdCategory, LocalNotification,
+    MetaSrvEnv, META_NODE_ID,
 };
 use crate::model::{
     BTreeMapEntryTransaction, BTreeMapTransaction, ClusterId, MetadataModel, ValTransaction,
@@ -101,6 +102,8 @@ pub struct HummockManager<S: MetaStore> {
     pub env: MetaSrvEnv<S>,
     pub cluster_manager: ClusterManagerRef<S>,
     catalog_manager: CatalogManagerRef<S>,
+
+    fragment_manager: FragmentManagerRef<S>,
     // `CompactionGroupManager` manages `CompactionGroup`'s members.
     // Note that all hummock state store user should register to `CompactionGroupManager`. It
     // includes all state tables of streaming jobs except sink.
@@ -240,6 +243,7 @@ where
     pub(crate) async fn new(
         env: MetaSrvEnv<S>,
         cluster_manager: ClusterManagerRef<S>,
+        fragment_manager: FragmentManagerRef<S>,
         metrics: Arc<MetaMetrics>,
         compactor_manager: CompactorManagerRef,
         catalog_manager: CatalogManagerRef<S>,
@@ -248,6 +252,7 @@ where
         Self::new_impl(
             env,
             cluster_manager,
+            fragment_manager,
             metrics,
             compactor_manager,
             compaction_group_manager,
@@ -260,6 +265,7 @@ where
     pub(super) async fn with_config(
         env: MetaSrvEnv<S>,
         cluster_manager: ClusterManagerRef<S>,
+        fragment_manager: FragmentManagerRef<S>,
         metrics: Arc<MetaMetrics>,
         compactor_manager: CompactorManagerRef,
         config: CompactionConfig,
@@ -273,6 +279,7 @@ where
         Self::new_impl(
             env,
             cluster_manager,
+            fragment_manager,
             metrics,
             compactor_manager,
             compaction_group_manager,
@@ -285,6 +292,7 @@ where
     async fn new_impl(
         env: MetaSrvEnv<S>,
         cluster_manager: ClusterManagerRef<S>,
+        fragment_manager: FragmentManagerRef<S>,
         metrics: Arc<MetaMetrics>,
         compactor_manager: CompactorManagerRef,
         compaction_group_manager: tokio::sync::RwLock<CompactionGroupManager>,
@@ -336,6 +344,7 @@ where
             metrics,
             cluster_manager,
             catalog_manager,
+            fragment_manager,
             compaction_group_manager,
             compaction_request_channel: parking_lot::RwLock::new(None),
             compactor_manager,
@@ -1275,8 +1284,8 @@ where
                     deterministic_mode,
                 );
                 let mut version_stats = VarTransaction::new(&mut versioning.version_stats);
-                if let Some(table_stats_change) = table_stats_change {
-                    add_prost_table_stats_map(&mut version_stats.table_stats, &table_stats_change);
+                if let Some(table_stats_change) = &table_stats_change {
+                    add_prost_table_stats_map(&mut version_stats.table_stats, table_stats_change);
                 }
 
                 commit_multi_var!(
@@ -2069,7 +2078,7 @@ where
         let (shutdown_tx, shutdown_rx) = tokio::sync::oneshot::channel();
         let join_handle = tokio::spawn(async move {
             const CHECK_PENDING_TASK_PERIOD_SEC: u64 = 300;
-            const STAT_REPORT_PERIOD_SEC: u64 = 10;
+            const STAT_REPORT_PERIOD_SEC: u64 = 20;
             const COMPACTION_HEARTBEAT_PERIOD_SEC: u64 = 1;
 
             pub enum HummockTimerEvent {
@@ -2078,7 +2087,6 @@ where
                 Report,
                 CompactionHeartBeat,
             }
-
             let mut check_compact_trigger_interval =
                 tokio::time::interval(Duration::from_secs(CHECK_PENDING_TASK_PERIOD_SEC));
             check_compact_trigger_interval
@@ -2164,19 +2172,37 @@ where
                                 }
 
                                 HummockTimerEvent::Report => {
-                                    let (current_version, id_to_config, branched_sst) = {
-                                        let mut versioning_guard =
-                                            write_lock!(hummock_manager.as_ref(), versioning).await;
+                                    let (
+                                        current_version,
+                                        id_to_config,
+                                        branched_sst,
+                                        version_stats,
+                                    ) = {
+                                        let versioning_guard =
+                                            read_lock!(hummock_manager.as_ref(), versioning).await;
+
                                         let configs =
                                             hummock_manager.get_compaction_group_map().await;
-                                        let versioning_deref = versioning_guard.deref_mut();
+                                        let versioning_deref = versioning_guard;
                                         (
                                             versioning_deref.current_version.clone(),
                                             configs,
                                             versioning_deref.branched_ssts.clone(),
+                                            versioning_deref.version_stats.clone(),
                                         )
                                     };
 
+                                    if let Some(mv_id_to_all_table_ids) = hummock_manager
+                                        .fragment_manager
+                                        .get_mv_id_to_internal_table_ids_mapping()
+                                    {
+                                        trigger_mv_stat(
+                                            &hummock_manager.metrics,
+                                            &version_stats,
+                                            mv_id_to_all_table_ids,
+                                        );
+                                    }
+
                                     for compaction_group_id in
                                         get_compaction_group_ids(&current_version)
                                     {
diff --git a/src/meta/src/hummock/metrics_utils.rs b/src/meta/src/hummock/metrics_utils.rs
index 556488b4d1c7..bed24965d844 100644
--- a/src/meta/src/hummock/metrics_utils.rs
+++ b/src/meta/src/hummock/metrics_utils.rs
@@ -67,6 +67,26 @@ pub fn trigger_version_stat(
     }
 }
 
+pub fn trigger_mv_stat(
+    metrics: &MetaMetrics,
+    version_stats: &HummockVersionStats,
+    mv_id_to_all_table_ids: Vec<(u32, Vec<u32>)>,
+) {
+    metrics.materialized_view_stats.reset();
+    for (mv_id, all_table_ids) in mv_id_to_all_table_ids {
+        let total_size = all_table_ids
+            .iter()
+            .filter_map(|&table_id| version_stats.table_stats.get(&table_id))
+            .map(|stats| stats.total_key_size + stats.total_value_size)
+            .sum();
+
+        metrics
+            .materialized_view_stats
+            .with_label_values(&[&mv_id.to_string(), "materialized_view_total_size"])
+            .set(total_size);
+    }
+}
+
 pub fn trigger_sst_stat(
     metrics: &MetaMetrics,
     compact_status: Option<&CompactStatus>,
diff --git a/src/meta/src/hummock/test_utils.rs b/src/meta/src/hummock/test_utils.rs
index 2c455e954ffa..3a8b3c2121dd 100644
--- a/src/meta/src/hummock/test_utils.rs
+++ b/src/meta/src/hummock/test_utils.rs
@@ -31,7 +31,9 @@ use risingwave_pb::meta::add_worker_node_request::Property;
 use crate::hummock::compaction::compaction_config::CompactionConfigBuilder;
 use crate::hummock::compaction::default_level_selector;
 use crate::hummock::{CompactorManager, HummockManager, HummockManagerRef};
-use crate::manager::{ClusterManager, ClusterManagerRef, MetaSrvEnv, META_NODE_ID};
+use crate::manager::{
+    ClusterManager, ClusterManagerRef, FragmentManager, MetaSrvEnv, META_NODE_ID,
+};
 use crate::rpc::metrics::MetaMetrics;
 use crate::storage::{MemStore, MetaStore};
 
@@ -311,12 +313,14 @@ pub async fn setup_compute_env_with_config(
             .await
             .unwrap(),
     );
+    let fragment_manager = Arc::new(FragmentManager::new(env.clone()).await.unwrap());
 
     let compactor_manager = Arc::new(CompactorManager::for_test());
 
     let hummock_manager = HummockManager::with_config(
         env.clone(),
         cluster_manager.clone(),
+        fragment_manager,
         Arc::new(MetaMetrics::new()),
         compactor_manager,
         config,
diff --git a/src/meta/src/manager/catalog/fragment.rs b/src/meta/src/manager/catalog/fragment.rs
index 37546d41c449..a14dd25992c2 100644
--- a/src/meta/src/manager/catalog/fragment.rs
+++ b/src/meta/src/manager/catalog/fragment.rs
@@ -155,6 +155,18 @@ where
         map.values().cloned().collect()
     }
 
+    pub fn get_mv_id_to_internal_table_ids_mapping(&self) -> Option<Vec<(u32, Vec<u32>)>> {
+        match self.core.try_read() {
+            Ok(core) => Some(
+                core.table_fragments
+                    .values()
+                    .map(|tf| (tf.table_id().table_id(), tf.all_table_ids().collect_vec()))
+                    .collect_vec(),
+            ),
+            Err(_) => None,
+        }
+    }
+
     pub async fn get_revision(&self) -> TableRevision {
         self.core.read().await.table_revision
     }
diff --git a/src/meta/src/rpc/metrics.rs b/src/meta/src/rpc/metrics.rs
index bfb4157178a2..eb0a2556db36 100644
--- a/src/meta/src/rpc/metrics.rs
+++ b/src/meta/src/rpc/metrics.rs
@@ -104,6 +104,8 @@ pub struct MetaMetrics {
     pub full_gc_selected_object_count: Histogram,
     /// Hummock version stats
     pub version_stats: IntGaugeVec,
+    /// Hummock version stats
+    pub materialized_view_stats: IntGaugeVec,
     /// Total number of objects that is no longer referenced by versions.
     pub stale_object_count: IntGauge,
     /// Total size of objects that is no longer referenced by versions.
@@ -154,6 +156,9 @@ pub struct MetaMetrics {
     pub actor_info: IntGaugeVec,
     /// A dummpy gauge metrics with its label to be the mapping from table id to actor id
     pub table_info: IntGaugeVec,
+    /// A dummpy gauge metrics with its label to be the mapping from materialized view id to table
+    /// id.
+    pub mv_info: IntGaugeVec,
 
     /// Write throughput of commit epoch for each stable
     pub table_write_throughput: IntCounterVec,
@@ -340,6 +345,14 @@ impl MetaMetrics {
         )
         .unwrap();
 
+        let materialized_view_stats = register_int_gauge_vec_with_registry!(
+            "storage_materialized_view_stats",
+            "per materialized view stats in current hummock version",
+            &["table_id", "metric"],
+            registry
+        )
+        .unwrap();
+
         let stale_object_count = register_int_gauge_with_registry!(
             "storage_stale_object_count",
             "total number of objects that is no longer referenced by versions.",
@@ -486,7 +499,15 @@ impl MetaMetrics {
         let table_info = register_int_gauge_vec_with_registry!(
             "table_info",
             "Mapping from table id to (actor id, table name)",
-            &["table_id", "actor_id", "table_name"],
+            &["materialized_view_id", "table_id", "actor_id", "table_name"],
+            registry
+        )
+        .unwrap();
+
+        let mv_info = register_int_gauge_vec_with_registry!(
+            "materialized_info",
+            "Mapping from materialized view id to (table id, table name)",
+            &["id", "table_id", "table_name"],
             registry
         )
         .unwrap();
@@ -568,6 +589,7 @@ impl MetaMetrics {
             level_file_size,
             version_size,
             version_stats,
+            materialized_view_stats,
             stale_object_count,
             stale_object_size,
             old_version_object_count,
@@ -598,6 +620,7 @@ impl MetaMetrics {
             source_enumerator_metrics,
             actor_info,
             table_info,
+            mv_info,
             l0_compact_level_count,
             compact_task_size,
             compact_task_file_count,
@@ -704,6 +727,7 @@ pub async fn start_fragment_info_monitor<S: MetaStore>(
                 })
                 .collect();
             for table_fragments in fragments {
+                let mv_id_str = table_fragments.table_id().to_string();
                 for (fragment_id, fragment) in table_fragments.fragments {
                     let fragment_id_str = fragment_id.to_string();
                     for actor in fragment.actors {
@@ -734,7 +758,16 @@ pub async fn start_fragment_info_monitor<S: MetaStore>(
                                 let table_id_str = table.id.to_string();
                                 meta_metrics
                                     .table_info
-                                    .with_label_values(&[&table_id_str, &actor_id_str, &table.name])
+                                    .with_label_values(&[
+                                        &mv_id_str,
+                                        &table_id_str,
+                                        &actor_id_str,
+                                        &table.name,
+                                    ])
+                                    .set(1);
+                                meta_metrics
+                                    .mv_info
+                                    .with_label_values(&[&mv_id_str, &table_id_str, &table.name])
                                     .set(1);
                             });
                         }
diff --git a/src/meta/src/rpc/server.rs b/src/meta/src/rpc/server.rs
index df4f2ae72039..aadd98786fc9 100644
--- a/src/meta/src/rpc/server.rs
+++ b/src/meta/src/rpc/server.rs
@@ -381,6 +381,7 @@ pub async fn start_service_as_election_leader<S: MetaStore>(
     let hummock_manager = hummock::HummockManager::new(
         env.clone(),
         cluster_manager.clone(),
+        fragment_manager.clone(),
         meta_metrics.clone(),
         compactor_manager.clone(),
         catalog_manager.clone(),
diff --git a/src/meta/src/rpc/service/stream_service.rs b/src/meta/src/rpc/service/stream_service.rs
index e024c83d01a8..bd6b39f197e8 100644
--- a/src/meta/src/rpc/service/stream_service.rs
+++ b/src/meta/src/rpc/service/stream_service.rs
@@ -180,6 +180,7 @@ where
                                 distribution_type: fragment.distribution_type,
                                 state_table_ids: fragment.state_table_ids,
                                 upstream_fragment_ids: fragment.upstream_fragment_ids,
+                                fragment_type_mask: fragment.fragment_type_mask,
                             }
                         })
                 })
diff --git a/src/meta/src/stream/stream_manager.rs b/src/meta/src/stream/stream_manager.rs
index 17c0fb211dc6..703f5037455b 100644
--- a/src/meta/src/stream/stream_manager.rs
+++ b/src/meta/src/stream/stream_manager.rs
@@ -744,6 +744,7 @@ mod tests {
             let hummock_manager = HummockManager::new(
                 env.clone(),
                 cluster_manager.clone(),
+                fragment_manager.clone(),
                 meta_metrics.clone(),
                 compactor_manager.clone(),
                 catalog_manager.clone(),
diff --git a/src/sqlparser/src/ast/statement.rs b/src/sqlparser/src/ast/statement.rs
index e5a54a27f25c..2524d1a2b778 100644
--- a/src/sqlparser/src/ast/statement.rs
+++ b/src/sqlparser/src/ast/statement.rs
@@ -109,16 +109,16 @@ impl fmt::Display for SourceSchema {
         match self {
             SourceSchema::Protobuf(protobuf_schema) => write!(f, "PROTOBUF {}", protobuf_schema),
             SourceSchema::Json => write!(f, "JSON"),
-            SourceSchema::UpsertJson => write!(f, "UPSERT JSON"),
+            SourceSchema::UpsertJson => write!(f, "UPSERT_JSON"),
             SourceSchema::Maxwell => write!(f, "MAXWELL"),
-            SourceSchema::DebeziumJson => write!(f, "DEBEZIUM JSON"),
-            SourceSchema::DebeziumMongoJson => write!(f, "DEBEZIUM MONGO JSON"),
+            SourceSchema::DebeziumJson => write!(f, "DEBEZIUM_JSON"),
+            SourceSchema::DebeziumMongoJson => write!(f, "DEBEZIUM_MONGO_JSON"),
             SourceSchema::Avro(avro_schema) => write!(f, "AVRO {}", avro_schema),
-            SourceSchema::UpsertAvro(avro_schema) => write!(f, "UPSERT AVRO {}", avro_schema),
-            SourceSchema::CanalJson => write!(f, "CANAL JSON"),
+            SourceSchema::UpsertAvro(avro_schema) => write!(f, "UPSERT_AVRO {}", avro_schema),
+            SourceSchema::CanalJson => write!(f, "CANAL_JSON"),
             SourceSchema::Csv(csv_info) => write!(f, "CSV {}", csv_info),
             SourceSchema::Native => write!(f, "NATIVE"),
-            SourceSchema::DebeziumAvro(avro_schema) => write!(f, "DEBEZIUM AVRO {}", avro_schema),
+            SourceSchema::DebeziumAvro(avro_schema) => write!(f, "DEBEZIUM_AVRO {}", avro_schema),
             SourceSchema::Bytes => write!(f, "BYTES"),
         }
     }
diff --git a/src/storage/backup/integration_tests/common.sh b/src/storage/backup/integration_tests/common.sh
index 22bf4003626a..c1822db13d12 100644
--- a/src/storage/backup/integration_tests/common.sh
+++ b/src/storage/backup/integration_tests/common.sh
@@ -51,7 +51,7 @@ function drop_mvs() {
 
 function backup() {
   local job_id
-  job_id=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl meta backup-meta | grep "backup job succeeded" | awk '{print $(NF)}')
+  job_id=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl meta backup-meta 2>&1 | grep "backup job succeeded" | awk '{print $(NF)}')
   [ -n "${job_id}" ]
   echo "${job_id}"
 }
@@ -99,12 +99,12 @@ function execute_sql_and_expect() {
 }
 
 function get_max_committed_epoch() {
-  mce=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-version --verbose | grep max_committed_epoch | sed -n 's/^.*max_committed_epoch: \(.*\),/\1/p')
+  mce=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-version --verbose 2>&1 | grep max_committed_epoch | sed -n 's/^.*max_committed_epoch: \(.*\),/\1/p')
   echo "${mce}"
 }
 
 function get_safe_epoch() {
-  safe_epoch=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-version --verbose | grep safe_epoch | sed -n 's/^.*safe_epoch: \(.*\),/\1/p')
+  safe_epoch=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-version --verbose 2>&1 | grep safe_epoch | sed -n 's/^.*safe_epoch: \(.*\),/\1/p')
   echo "${safe_epoch}"
 }
 
@@ -130,6 +130,6 @@ function get_safe_epoch_in_backup() {
 }
 
 function get_min_pinned_snapshot() {
-  s=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-pinned-snapshots | grep "min_pinned_snapshot" | sed -n 's/.*min_pinned_snapshot \(.*\)/\1/p' | sort -n | head -1)
+  s=$(${BACKUP_TEST_RW_ALL_IN_ONE} risectl hummock list-pinned-snapshots 2>&1 | grep "min_pinned_snapshot" | sed -n 's/.*min_pinned_snapshot \(.*\)/\1/p' | sort -n | head -1)
   echo "${s}"
 }
diff --git a/src/stream/src/common/log_store/kv_log_store/serde.rs b/src/stream/src/common/log_store/kv_log_store/serde.rs
index 21ca2d2afe46..11b290ed700b 100644
--- a/src/stream/src/common/log_store/kv_log_store/serde.rs
+++ b/src/stream/src/common/log_store/kv_log_store/serde.rs
@@ -25,6 +25,10 @@ use itertools::Itertools;
 use risingwave_common::array::{Op, StreamChunk};
 use risingwave_common::buffer::Bitmap;
 use risingwave_common::catalog::ColumnDesc;
+use risingwave_common::constants::log_store::{
+    EPOCH_COLUMN_INDEX, EPOCH_COLUMN_TYPE, KV_LOG_STORE_PREDEFINED_COLUMNS, PK_TYPES,
+    ROW_OP_COLUMN_INDEX, SEQ_ID_COLUMN_INDEX,
+};
 use risingwave_common::hash::VirtualNode;
 use risingwave_common::row::{OwnedRow, Row, RowExt};
 use risingwave_common::types::{DataType, ScalarImpl};
@@ -46,16 +50,6 @@ use crate::common::log_store::kv_log_store::{
 };
 use crate::common::log_store::{LogStoreError, LogStoreReadItem, LogStoreResult};
 
-/// `epoch`, `seq_id`, `op`
-const PREDEFINED_COLUMNS_TYPES: [DataType; 3] = [DataType::Int64, DataType::Int32, DataType::Int16];
-const EPOCH_INDEX: usize = 0;
-const SEQ_ID_INDEX: usize = 1;
-const ROW_OP_INDEX: usize = 2;
-/// `epoch`, `seq_id`
-const PK_TYPES: [DataType; 2] = [DataType::Int64, DataType::Int32];
-/// epoch
-const EPOCH_TYPES: [DataType; 1] = [DataType::Int64];
-
 const INSERT_OP_CODE: RowOpCodeType = 1;
 const DELETE_OP_CODE: RowOpCodeType = 2;
 const UPDATE_INSERT_OP_CODE: RowOpCodeType = 3;
@@ -121,12 +115,12 @@ impl LogStoreRowSerde {
             .collect_vec();
 
         // There are 3 predefined columns for kv log store:
-        assert!(data_types.len() > PREDEFINED_COLUMNS_TYPES.len());
-        for i in 0..PREDEFINED_COLUMNS_TYPES.len() {
-            assert_eq!(data_types[i], PREDEFINED_COLUMNS_TYPES[i]);
+        assert!(data_types.len() > KV_LOG_STORE_PREDEFINED_COLUMNS.len());
+        for i in 0..KV_LOG_STORE_PREDEFINED_COLUMNS.len() {
+            assert_eq!(data_types[i], KV_LOG_STORE_PREDEFINED_COLUMNS[i].1);
         }
 
-        let payload_schema = data_types[PREDEFINED_COLUMNS_TYPES.len()..].to_vec();
+        let payload_schema = data_types[KV_LOG_STORE_PREDEFINED_COLUMNS.len()..].to_vec();
 
         let row_serde = BasicSerde::new(input_value_indices.into(), table_columns.into());
 
@@ -144,7 +138,7 @@ impl LogStoreRowSerde {
         );
 
         let epoch_serde =
-            OrderedRowSerde::new(Vec::from(EPOCH_TYPES), vec![OrderType::ascending()]);
+            OrderedRowSerde::new(vec![EPOCH_COLUMN_TYPE], vec![OrderType::ascending()]);
 
         Self {
             pk_serde,
@@ -264,9 +258,9 @@ impl LogStoreRowSerde {
     fn deserialize(&self, value_bytes: Bytes) -> LogStoreResult<(u64, LogStoreRowOp)> {
         let row_data = self.row_serde.deserialize(&value_bytes)?;
 
-        let payload_row = OwnedRow::new(row_data[PREDEFINED_COLUMNS_TYPES.len()..].to_vec());
-        let epoch = Self::decode_epoch(*row_data[EPOCH_INDEX].as_ref().unwrap().as_int64());
-        let row_op_code = *row_data[ROW_OP_INDEX].as_ref().unwrap().as_int16();
+        let payload_row = OwnedRow::new(row_data[KV_LOG_STORE_PREDEFINED_COLUMNS.len()..].to_vec());
+        let epoch = Self::decode_epoch(*row_data[EPOCH_COLUMN_INDEX].as_ref().unwrap().as_int64());
+        let row_op_code = *row_data[ROW_OP_COLUMN_INDEX].as_ref().unwrap().as_int16();
 
         let op = match row_op_code {
             INSERT_OP_CODE => LogStoreRowOp::Row {
@@ -286,13 +280,13 @@ impl LogStoreRowSerde {
                 row: payload_row,
             },
             BARRIER_OP_CODE => {
-                assert!(row_data[SEQ_ID_INDEX].is_none());
+                assert!(row_data[SEQ_ID_COLUMN_INDEX].is_none());
                 LogStoreRowOp::Barrier {
                     is_checkpoint: false,
                 }
             }
             CHECKPOINT_BARRIER_OP_CODE => {
-                assert!(row_data[SEQ_ID_INDEX].is_none());
+                assert!(row_data[SEQ_ID_COLUMN_INDEX].is_none());
                 LogStoreRowOp::Barrier {
                     is_checkpoint: true,
                 }
diff --git a/src/stream/src/executor/backfill/arrangement_backfill.rs b/src/stream/src/executor/backfill/arrangement_backfill.rs
index 8370efa85f91..19c277a380b1 100644
--- a/src/stream/src/executor/backfill/arrangement_backfill.rs
+++ b/src/stream/src/executor/backfill/arrangement_backfill.rs
@@ -66,9 +66,9 @@ pub struct ArrangementBackfillExecutor<S: StateStore> {
     info: ExecutorInfo,
 
     metrics: Arc<StreamingMetrics>,
-}
 
-const CHUNK_SIZE: usize = 1024;
+    chunk_size: usize,
+}
 
 impl<S> ArrangementBackfillExecutor<S>
 where
@@ -85,6 +85,7 @@ where
         schema: Schema,
         pk_indices: PkIndices,
         metrics: Arc<StreamingMetrics>,
+        chunk_size: usize,
     ) -> Self {
         Self {
             info: ExecutorInfo {
@@ -99,6 +100,7 @@ where
             actor_id: progress.actor_id(),
             progress,
             metrics,
+            chunk_size,
         }
     }
 
@@ -151,6 +153,7 @@ where
                     schema.clone(),
                     &upstream_table,
                     backfill_state.clone(), // FIXME: temporary workaround... How to avoid it?
+                    self.chunk_size,
                 );
                 pin_mut!(snapshot);
                 snapshot.try_next().await?.unwrap().is_none()
@@ -232,6 +235,7 @@ where
                         schema.clone(),
                         &upstream_table,
                         backfill_state.clone(), // FIXME: temporary workaround, how to avoid it?
+                        self.chunk_size,
                     )
                     .map(Either::Right),);
 
@@ -473,6 +477,7 @@ where
         schema: Arc<Schema>,
         upstream_table: &ReplicatedStateTable<S>,
         backfill_state: BackfillState,
+        chunk_size: usize,
     ) {
         let mut streams = Vec::with_capacity(upstream_table.vnodes().len());
         for vnode in upstream_table.vnodes().iter_vnodes() {
@@ -494,7 +499,7 @@ where
                 .await?;
             // TODO: Is there some way to avoid double-pin here?
             let vnode_row_iter = Box::pin(vnode_row_iter);
-            let vnode_chunk_iter = iter_chunks(vnode_row_iter, &schema, CHUNK_SIZE)
+            let vnode_chunk_iter = iter_chunks(vnode_row_iter, &schema, chunk_size)
                 .map_ok(move |chunk_opt| chunk_opt.map(|chunk| (vnode, chunk)));
             // TODO: Is there some way to avoid double-pin
             streams.push(Box::pin(vnode_chunk_iter));
diff --git a/src/stream/src/executor/backfill/no_shuffle_backfill.rs b/src/stream/src/executor/backfill/no_shuffle_backfill.rs
index 878bff5dd072..11ebe1e70f54 100644
--- a/src/stream/src/executor/backfill/no_shuffle_backfill.rs
+++ b/src/stream/src/executor/backfill/no_shuffle_backfill.rs
@@ -84,9 +84,9 @@ pub struct BackfillExecutor<S: StateStore> {
     info: ExecutorInfo,
 
     metrics: Arc<StreamingMetrics>,
-}
 
-const CHUNK_SIZE: usize = 1024;
+    chunk_size: usize,
+}
 
 impl<S> BackfillExecutor<S>
 where
@@ -102,6 +102,7 @@ where
         schema: Schema,
         pk_indices: PkIndices,
         metrics: Arc<StreamingMetrics>,
+        chunk_size: usize,
     ) -> Self {
         Self {
             info: ExecutorInfo {
@@ -116,6 +117,7 @@ where
             actor_id: progress.actor_id(),
             progress,
             metrics,
+            chunk_size,
         }
     }
 
@@ -158,7 +160,13 @@ where
                 // It is finished, so just assign a value to avoid accessing storage table again.
                 false
             } else {
-                let snapshot = Self::snapshot_read(&self.upstream_table, init_epoch, None, false);
+                let snapshot = Self::snapshot_read(
+                    &self.upstream_table,
+                    init_epoch,
+                    None,
+                    false,
+                    self.chunk_size,
+                );
                 pin_mut!(snapshot);
                 snapshot.try_next().await?.unwrap().is_none()
             }
@@ -234,7 +242,8 @@ where
                     &self.upstream_table,
                     snapshot_read_epoch,
                     current_pos.clone(),
-                    true
+                    true,
+                    self.chunk_size,
                 )
                 .map(Either::Right),);
 
@@ -432,6 +441,7 @@ where
         epoch: u64,
         current_pos: Option<OwnedRow>,
         ordered: bool,
+        chunk_size: usize,
     ) {
         let range_bounds = compute_bounds(upstream_table.pk_indices(), current_pos);
         let range_bounds = match range_bounds {
@@ -458,7 +468,7 @@ where
         pin_mut!(iter);
 
         #[for_await]
-        for chunk in iter_chunks(iter, upstream_table.schema(), CHUNK_SIZE) {
+        for chunk in iter_chunks(iter, upstream_table.schema(), chunk_size) {
             yield chunk?;
         }
     }
diff --git a/src/stream/src/executor/sink.rs b/src/stream/src/executor/sink.rs
index 048cac17992e..1bb8d1ef2f6a 100644
--- a/src/stream/src/executor/sink.rs
+++ b/src/stream/src/executor/sink.rs
@@ -128,8 +128,7 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
         let write_log_stream = Self::execute_write_log(
             self.input,
             self.log_writer,
-            self.schema,
-            self.columns,
+            self.columns.clone(),
             self.sink_type,
             self.actor_context,
         );
@@ -138,6 +137,7 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
             let consume_log_stream = Self::execute_consume_log(
                 sink,
                 self.log_reader,
+                self.columns,
                 sink_metrics,
                 self.sink_writer_param,
             );
@@ -149,12 +149,14 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
     async fn execute_write_log(
         input: BoxedExecutor,
         mut log_writer: impl LogWriter,
-        schema: Schema,
         columns: Vec<ColumnCatalog>,
         sink_type: SinkType,
         actor_context: ActorContextRef,
     ) {
-        let data_types = schema.data_types();
+        let data_types = columns
+            .iter()
+            .map(|col| col.column_desc.data_type.clone())
+            .collect_vec();
         let mut input = input.execute();
 
         let barrier = expect_first_barrier(&mut input).await?;
@@ -166,12 +168,6 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
         // Propagate the first barrier
         yield Message::Barrier(barrier);
 
-        let visible_columns = columns
-            .iter()
-            .enumerate()
-            .filter_map(|(idx, column)| (!column.is_hidden).then_some(idx))
-            .collect_vec();
-
         #[for_await]
         for msg in input {
             match msg? {
@@ -187,15 +183,7 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
                     };
 
                     if let Some(chunk) = visible_chunk {
-                        let chunk_to_connector = if visible_columns.len() != columns.len() {
-                            // Do projection here because we may have columns that aren't visible to
-                            // the downstream.
-                            chunk.clone().reorder_columns(&visible_columns)
-                        } else {
-                            chunk.clone()
-                        };
-
-                        log_writer.write_chunk(chunk_to_connector).await?;
+                        log_writer.write_chunk(chunk.clone()).await?;
 
                         // Use original chunk instead of the reordered one as the executor output.
                         yield Message::Chunk(chunk);
@@ -217,12 +205,19 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
     async fn execute_consume_log<S: Sink, R: LogReader>(
         sink: S,
         mut log_reader: R,
+        columns: Vec<ColumnCatalog>,
         sink_metrics: SinkMetrics,
         sink_writer_param: SinkWriterParam,
     ) -> StreamExecutorResult<Message> {
         log_reader.init().await?;
         let mut sink_writer = sink.new_writer(sink_writer_param).await?;
 
+        let visible_columns = columns
+            .iter()
+            .enumerate()
+            .filter_map(|(idx, column)| (!column.is_hidden).then_some(idx))
+            .collect_vec();
+
         enum LogConsumerState {
             /// Mark that the log consumer is not initialized yet
             Uninitialized,
@@ -266,7 +261,14 @@ impl<F: LogStoreFactory> SinkExecutor<F> {
             };
             match item {
                 LogStoreReadItem::StreamChunk(chunk) => {
-                    if let Err(e) = sink_writer.write_batch(chunk.clone()).await {
+                    let chunk = if visible_columns.len() != columns.len() {
+                        // Do projection here because we may have columns that aren't visible to
+                        // the downstream.
+                        chunk.reorder_columns(&visible_columns)
+                    } else {
+                        chunk
+                    };
+                    if let Err(e) = sink_writer.write_batch(chunk).await {
                         sink_writer.abort().await?;
                         return Err(e.into());
                     }
diff --git a/src/stream/src/from_proto/chain.rs b/src/stream/src/from_proto/chain.rs
index 3f7abf84fbfa..858eeb895491 100644
--- a/src/stream/src/from_proto/chain.rs
+++ b/src/stream/src/from_proto/chain.rs
@@ -166,6 +166,7 @@ impl ExecutorBuilder for ChainExecutorBuilder {
                     schema,
                     params.pk_indices,
                     stream.streaming_metrics.clone(),
+                    params.env.config().developer.chunk_size,
                 )
                 .boxed()
             }
diff --git a/src/stream/src/from_proto/sink.rs b/src/stream/src/from_proto/sink.rs
index 6a75904af3af..9944265cb02e 100644
--- a/src/stream/src/from_proto/sink.rs
+++ b/src/stream/src/from_proto/sink.rs
@@ -33,7 +33,7 @@ impl ExecutorBuilder for SinkExecutorBuilder {
         _store: impl StateStore,
         stream: &mut LocalStreamManagerCore,
     ) -> StreamResult<BoxedExecutor> {
-        let [materialize_executor]: [_; 1] = params.input.try_into().unwrap();
+        let [input_executor]: [_; 1] = params.input.try_into().unwrap();
 
         let sink_desc = node.sink_desc.as_ref().unwrap();
         let sink_type = SinkType::from_proto(sink_desc.get_sink_type().unwrap());
@@ -52,9 +52,12 @@ impl ExecutorBuilder for SinkExecutorBuilder {
             .collect_vec();
         let config = SinkConfig::from_hashmap(properties).map_err(StreamExecutorError::from)?;
 
+        // TODO: For sink executor with a state table, a kv log store should be created.
+        let factory = BoundedInMemLogStoreFactory::new(1);
+
         Ok(Box::new(
             SinkExecutor::new(
-                materialize_executor,
+                input_executor,
                 stream.streaming_metrics.clone(),
                 config,
                 SinkWriterParam {
@@ -67,7 +70,7 @@ impl ExecutorBuilder for SinkExecutorBuilder {
                 sink_type,
                 sink_id,
                 params.actor_context,
-                BoundedInMemLogStoreFactory::new(1),
+                factory,
             )
             .await?,
         ))
diff --git a/src/tests/sqlsmith/tests/frontend/mod.rs b/src/tests/sqlsmith/tests/frontend/mod.rs
index f96e421c89d3..ddce2783158d 100644
--- a/src/tests/sqlsmith/tests/frontend/mod.rs
+++ b/src/tests/sqlsmith/tests/frontend/mod.rs
@@ -174,6 +174,8 @@ fn run_batch_query(
     context: OptimizerContextRef,
     stmt: Statement,
 ) -> Result<()> {
+    let _guard = session.txn_begin_implicit();
+
     let mut binder = Binder::new(&session);
     let bound = binder
         .bind(stmt)
diff --git a/src/udf/src/external.rs b/src/udf/src/external.rs
index 44d94b2b4e12..3eaf6e41db72 100644
--- a/src/udf/src/external.rs
+++ b/src/udf/src/external.rs
@@ -175,6 +175,8 @@ pub enum Error {
     },
     #[error("arrow error: {0}")]
     Arrow(#[from] arrow_schema::ArrowError),
+    #[error("UDF unsupported: {0}")]
+    Unsupported(String),
     #[error("UDF service returned no data")]
     NoReturned,
 }
diff --git a/src/utils/pgwire/src/pg_message.rs b/src/utils/pgwire/src/pg_message.rs
index 204bbc3042da..a7983f089afe 100644
--- a/src/utils/pgwire/src/pg_message.rs
+++ b/src/utils/pgwire/src/pg_message.rs
@@ -362,7 +362,7 @@ pub enum BeMessage<'a> {
     NoData,
     DataRow(&'a Row),
     ParameterStatus(BeParameterStatusMessage<'a>),
-    ReadyForQuery,
+    ReadyForQuery(TransactionStatus),
     RowDescription(&'a [PgFieldDescriptor]),
     ErrorResponse(BoxedError),
     CloseComplete,
@@ -385,6 +385,13 @@ pub struct BeCommandCompleteMessage {
     pub rows_cnt: i32,
 }
 
+#[derive(Debug, Clone, Copy)]
+pub enum TransactionStatus {
+    Idle,
+    InTransaction,
+    InFailedTransaction,
+}
+
 impl<'a> BeMessage<'a> {
     /// Write message to the given buf.
     pub fn write(buf: &mut BytesMut, message: &BeMessage<'_>) -> Result<()> {
@@ -549,11 +556,15 @@ impl<'a> BeMessage<'a> {
             // +-----+----------+---------------------------+
             // | 'Z' | int32(5) | byte1(transaction status) |
             // +-----+----------+---------------------------+
-            BeMessage::ReadyForQuery => {
+            BeMessage::ReadyForQuery(txn_status) => {
                 buf.put_u8(b'Z');
                 buf.put_i32(5);
                 // TODO: add transaction status
-                buf.put_u8(b'I');
+                buf.put_u8(match txn_status {
+                    TransactionStatus::Idle => b'I',
+                    TransactionStatus::InTransaction => b'T',
+                    TransactionStatus::InFailedTransaction => b'E',
+                });
             }
 
             BeMessage::ParseComplete => {
diff --git a/src/utils/pgwire/src/pg_protocol.rs b/src/utils/pgwire/src/pg_protocol.rs
index e83b8b544642..09426a232988 100644
--- a/src/utils/pgwire/src/pg_protocol.rs
+++ b/src/utils/pgwire/src/pg_protocol.rs
@@ -39,7 +39,7 @@ use crate::pg_extended::ResultCache;
 use crate::pg_message::{
     BeCommandCompleteMessage, BeMessage, BeParameterStatusMessage, FeBindMessage, FeCancelMessage,
     FeCloseMessage, FeDescribeMessage, FeExecuteMessage, FeMessage, FeParseMessage,
-    FePasswordMessage, FeStartupMessage,
+    FePasswordMessage, FeStartupMessage, TransactionStatus,
 };
 use crate::pg_server::{Session, SessionManager, UserAuthenticator};
 use crate::types::Format;
@@ -203,9 +203,7 @@ where
                         self.stream
                             .write_no_flush(&BeMessage::ErrorResponse(Box::new(e)))
                             .unwrap();
-                        self.stream
-                            .write_no_flush(&BeMessage::ReadyForQuery)
-                            .unwrap();
+                        self.ready_for_query().unwrap();
                     }
 
                     PsqlError::Panic(_) => {
@@ -246,7 +244,7 @@ where
             FeMessage::Bind(m) => self.process_bind_msg(m)?,
             FeMessage::Execute(m) => self.process_execute_msg(m).await?,
             FeMessage::Describe(m) => self.process_describe_msg(m)?,
-            FeMessage::Sync => self.stream.write_no_flush(&BeMessage::ReadyForQuery)?,
+            FeMessage::Sync => self.ready_for_query()?,
             FeMessage::Close(m) => self.process_close_msg(m)?,
             FeMessage::Flush => self.stream.flush().await?,
         }
@@ -261,6 +259,16 @@ where
         }
     }
 
+    /// Writes a `ReadyForQuery` message to the client without flushing.
+    fn ready_for_query(&mut self) -> io::Result<()> {
+        self.stream.write_no_flush(&BeMessage::ReadyForQuery(
+            self.session
+                .as_ref()
+                .map(|s| s.transaction_status())
+                .unwrap_or(TransactionStatus::Idle),
+        ))
+    }
+
     async fn process_ssl_msg(&mut self) -> PsqlResult<()> {
         if let Some(context) = self.tls_context.as_ref() {
             // If got and ssl context, say yes for ssl connection.
@@ -313,7 +321,7 @@ where
                     .write_parameter_status_msg_no_flush(&ParameterStatus {
                         application_name: application_name.cloned(),
                     })?;
-                self.stream.write_no_flush(&BeMessage::ReadyForQuery)?;
+                self.ready_for_query()?;
             }
             UserAuthenticator::ClearText(_) => {
                 self.stream
@@ -341,7 +349,7 @@ where
         self.stream.write_no_flush(&BeMessage::AuthenticationOk)?;
         self.stream
             .write_parameter_status_msg_no_flush(&ParameterStatus::default())?;
-        self.stream.write_no_flush(&BeMessage::ReadyForQuery)?;
+        self.ready_for_query()?;
         self.state = PgProtocolState::Regular;
         Ok(())
     }
@@ -400,7 +408,7 @@ where
         }
         // Put this line inside the for loop above will lead to unfinished/stuck regress test...Not
         // sure the reason.
-        self.stream.write_no_flush(&BeMessage::ReadyForQuery)?;
+        self.ready_for_query()?;
         Ok(())
     }
 
diff --git a/src/utils/pgwire/src/pg_server.rs b/src/utils/pgwire/src/pg_server.rs
index 33a63c7fc45a..d75410d66906 100644
--- a/src/utils/pgwire/src/pg_server.rs
+++ b/src/utils/pgwire/src/pg_server.rs
@@ -26,6 +26,7 @@ use tokio::net::TcpListener;
 use tracing::debug;
 
 use crate::pg_field_descriptor::PgFieldDescriptor;
+use crate::pg_message::TransactionStatus;
 use crate::pg_protocol::{PgProtocol, TlsConfig};
 use crate::pg_response::{PgResponse, ValuesStream};
 use crate::types::Format;
@@ -100,6 +101,8 @@ pub trait Session: Send + Sync {
     fn id(&self) -> SessionId;
 
     fn set_config(&self, key: &str, value: Vec<String>) -> Result<(), BoxedError>;
+
+    fn transaction_status(&self) -> TransactionStatus;
 }
 
 #[derive(Debug, Clone)]
@@ -191,6 +194,7 @@ mod tests {
     use tokio_postgres::NoTls;
 
     use crate::pg_field_descriptor::PgFieldDescriptor;
+    use crate::pg_message::TransactionStatus;
     use crate::pg_response::{PgResponse, RowSetResult, StatementType};
     use crate::pg_server::{
         pg_serve, BoxedError, Session, SessionId, SessionManager, UserAuthenticator,
@@ -317,6 +321,10 @@ mod tests {
         fn take_notices(self: Arc<Self>) -> Vec<String> {
             vec![]
         }
+
+        fn transaction_status(&self) -> TransactionStatus {
+            TransactionStatus::Idle
+        }
     }
 
     #[tokio::test]