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feat: eliminate adjacent no-op updates for agg with empty agg call (#…
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…17048)

Signed-off-by: Bugen Zhao <[email protected]>
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BugenZhao authored Jun 3, 2024
1 parent e888f44 commit 70a5574
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Showing 21 changed files with 168 additions and 95 deletions.
3 changes: 3 additions & 0 deletions proto/stream_plan.proto
Original file line number Diff line number Diff line change
Expand Up @@ -278,6 +278,9 @@ message ProjectNode {
repeated uint32 watermark_input_cols = 2;
repeated uint32 watermark_output_cols = 3;
repeated uint32 nondecreasing_exprs = 4;
// Whether there are likely no-op updates in the output chunks, so that eliminating them with
// `StreamChunk::eliminate_adjacent_noop_update` could be beneficial.
bool noop_update_hint = 5;
}

message FilterNode {
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2 changes: 2 additions & 0 deletions src/frontend/planner_test/tests/testdata/input/agg.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -281,12 +281,14 @@
select distinct v1 from t;
expected_outputs:
- logical_plan
- stream_plan
- name: distinct with agg
sql: |
create table t (v1 int, v2 int);
select distinct sum(v1) from t group by v2;
expected_outputs:
- logical_plan
- stream_plan
- name: distinct on
sql: |
create table t (v1 int, v2 int, v3 int);
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19 changes: 17 additions & 2 deletions src/frontend/planner_test/tests/testdata/output/agg.yaml
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Expand Up @@ -451,6 +451,12 @@
LogicalAgg { group_key: [t.v1], aggs: [] }
└─LogicalProject { exprs: [t.v1] }
└─LogicalScan { table: t, columns: [t.v1, t.v2, t._row_id] }
stream_plan: |-
StreamMaterialize { columns: [v1], stream_key: [v1], pk_columns: [v1], pk_conflict: NoCheck }
└─StreamProject { exprs: [t.v1], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.v1], aggs: [count] }
└─StreamExchange { dist: HashShard(t.v1) }
└─StreamTableScan { table: t, columns: [t.v1, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
- name: distinct with agg
sql: |
create table t (v1 int, v2 int);
Expand All @@ -461,6 +467,15 @@
└─LogicalAgg { group_key: [t.v2], aggs: [sum(t.v1)] }
└─LogicalProject { exprs: [t.v2, t.v1] }
└─LogicalScan { table: t, columns: [t.v1, t.v2, t._row_id] }
stream_plan: |-
StreamMaterialize { columns: [sum], stream_key: [sum], pk_columns: [sum], pk_conflict: NoCheck }
└─StreamProject { exprs: [sum(t.v1)], noop_update_hint: true }
└─StreamHashAgg { group_key: [sum(t.v1)], aggs: [count] }
└─StreamExchange { dist: HashShard(sum(t.v1)) }
└─StreamProject { exprs: [t.v2, sum(t.v1)] }
└─StreamHashAgg { group_key: [t.v2], aggs: [sum(t.v1), count] }
└─StreamExchange { dist: HashShard(t.v2) }
└─StreamTableScan { table: t, columns: [t.v1, t.v2, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
- name: distinct on
sql: |
create table t (v1 int, v2 int, v3 int);
Expand Down Expand Up @@ -576,7 +591,7 @@
└─LogicalScan { table: t, columns: [t.v1] }
stream_plan: |-
StreamMaterialize { columns: [v1], stream_key: [v1], pk_columns: [v1], pk_conflict: NoCheck }
└─StreamProject { exprs: [t.v1] }
└─StreamProject { exprs: [t.v1], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.v1], aggs: [count] }
└─StreamExchange { dist: HashShard(t.v1) }
└─StreamTableScan { table: t, columns: [t.v1, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
Expand Down Expand Up @@ -1797,7 +1812,7 @@
stream_plan: |-
StreamMaterialize { columns: [a, row_number], stream_key: [a], pk_columns: [a], pk_conflict: NoCheck }
└─StreamOverWindow { window_functions: [row_number() OVER(PARTITION BY t.a ORDER BY t.a DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)] }
└─StreamProject { exprs: [t.a] }
└─StreamProject { exprs: [t.a], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.a], aggs: [count] }
└─StreamExchange { dist: HashShard(t.a) }
└─StreamTableScan { table: t, columns: [t.a, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
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4 changes: 2 additions & 2 deletions src/frontend/planner_test/tests/testdata/output/except.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
└─BatchScan { table: t2, columns: [t2.a, t2.b, t2.c], distribution: SomeShard }
stream_plan: |-
StreamMaterialize { columns: [a, b, c], stream_key: [a, b, c], pk_columns: [a, b, c], pk_conflict: NoCheck }
└─StreamProject { exprs: [t1.a, t1.b, t1.c] }
└─StreamProject { exprs: [t1.a, t1.b, t1.c], noop_update_hint: true }
└─StreamHashAgg { group_key: [t1.a, t1.b, t1.c], aggs: [count] }
└─StreamHashJoin { type: LeftAnti, predicate: t1.a IS NOT DISTINCT FROM t2.a AND t1.b IS NOT DISTINCT FROM t2.b AND t1.c IS NOT DISTINCT FROM t2.c, output: all }
├─StreamExchange { dist: HashShard(t1.a, t1.b, t1.c) }
Expand All @@ -35,7 +35,7 @@
stream_dist_plan: |+
Fragment 0
StreamMaterialize { columns: [a, b, c], stream_key: [a, b, c], pk_columns: [a, b, c], pk_conflict: NoCheck } { tables: [ Materialize: 4294967294 ] }
└── StreamProject { exprs: [t1.a, t1.b, t1.c] }
└── StreamProject { exprs: [t1.a, t1.b, t1.c], noop_update_hint: true }
└── StreamHashAgg { group_key: [t1.a, t1.b, t1.c], aggs: [count] } { tables: [ HashAggState: 0 ] }
└── StreamHashJoin { type: LeftAnti, predicate: t1.a IS NOT DISTINCT FROM t2.a AND t1.b IS NOT DISTINCT FROM t2.b AND t1.c IS NOT DISTINCT FROM t2.c, output: all }
├── tables: [ HashJoinLeft: 1, HashJoinDegreeLeft: 2, HashJoinRight: 3, HashJoinDegreeRight: 4 ]
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
└─BatchScan { table: t2, columns: [t2.a, t2.b, t2.c], distribution: SomeShard }
stream_plan: |-
StreamMaterialize { columns: [a, b, c], stream_key: [a, b, c], pk_columns: [a, b, c], pk_conflict: NoCheck }
└─StreamProject { exprs: [t1.a, t1.b, t1.c] }
└─StreamProject { exprs: [t1.a, t1.b, t1.c], noop_update_hint: true }
└─StreamHashAgg { group_key: [t1.a, t1.b, t1.c], aggs: [count] }
└─StreamHashJoin { type: LeftSemi, predicate: t1.a IS NOT DISTINCT FROM t2.a AND t1.b IS NOT DISTINCT FROM t2.b AND t1.c IS NOT DISTINCT FROM t2.c, output: all }
├─StreamExchange { dist: HashShard(t1.a, t1.b, t1.c) }
Expand All @@ -35,7 +35,7 @@
stream_dist_plan: |+
Fragment 0
StreamMaterialize { columns: [a, b, c], stream_key: [a, b, c], pk_columns: [a, b, c], pk_conflict: NoCheck } { tables: [ Materialize: 4294967294 ] }
└── StreamProject { exprs: [t1.a, t1.b, t1.c] }
└── StreamProject { exprs: [t1.a, t1.b, t1.c], noop_update_hint: true }
└── StreamHashAgg { group_key: [t1.a, t1.b, t1.c], aggs: [count] } { tables: [ HashAggState: 0 ] }
└── StreamHashJoin { type: LeftSemi, predicate: t1.a IS NOT DISTINCT FROM t2.a AND t1.b IS NOT DISTINCT FROM t2.b AND t1.c IS NOT DISTINCT FROM t2.c, output: all }
├── tables: [ HashJoinLeft: 1, HashJoinDegreeLeft: 2, HashJoinRight: 3, HashJoinDegreeRight: 4 ]
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Original file line number Diff line number Diff line change
Expand Up @@ -164,7 +164,7 @@
├─StreamExchange { dist: HashShard(t.arr) }
│ └─StreamTableScan { table: t, columns: [t.x, t.arr, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
└─StreamProjectSet { select_list: [$0, Unnest($0)] }
└─StreamProject { exprs: [t.arr] }
└─StreamProject { exprs: [t.arr], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.arr], aggs: [count] }
└─StreamExchange { dist: HashShard(t.arr) }
└─StreamTableScan { table: t, columns: [t.arr, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
Expand Down Expand Up @@ -193,7 +193,7 @@
│ │ └─StreamTableScan { table: t1, columns: [t1.n, t1.id, t1._row_id, t1.c], stream_scan_type: ArrangementBackfill, stream_key: [t1._row_id], pk: [_row_id], dist: UpstreamHashShard(t1._row_id) }
│ └─StreamExchange { dist: HashShard(Unnest(Case(($1 <> '':Varchar), ArrayAppend(StringToArray(Trim($1, ',':Varchar), ',':Varchar), $3), Array($3)))) }
│ └─StreamProjectSet { select_list: [$0, $1, $2, $3, Unnest(Case(($1 <> '':Varchar), ArrayAppend(StringToArray(Trim($1, ',':Varchar), ',':Varchar), $3), Array($3)))] }
│ └─StreamProject { exprs: [t2.p, t2.p, t2.d, t2.d] }
│ └─StreamProject { exprs: [t2.p, t2.p, t2.d, t2.d], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [t2.p, t2.p, t2.d, t2.d], aggs: [count] }
│ └─StreamExchange { dist: HashShard(t2.p, t2.p, t2.d, t2.d) }
│ └─StreamProject { exprs: [t2.p, t2.p, t2.d, t2.d, t2._row_id] }
Expand Down Expand Up @@ -226,7 +226,7 @@
└─StreamHashAgg { group_key: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5], aggs: [sum($expr4) filter(((t2.c7 * t1.c3) <= (t2.c7 * t2.c8))), sum(t1.c2) filter(((t2.c7 * t1.c3) <= (t2.c7 * t2.c8))), count] }
└─StreamHashJoin { type: LeftOuter, predicate: t2.c7 IS NOT DISTINCT FROM t2.c7 AND t2.c7 IS NOT DISTINCT FROM t2.c7 AND t2.c8 IS NOT DISTINCT FROM t2.c8 AND t2.c7 IS NOT DISTINCT FROM t2.c7 AND t2.c7 IS NOT DISTINCT FROM t2.c7 AND t2.c8 IS NOT DISTINCT FROM t2.c8 AND t2.c1 IS NOT DISTINCT FROM t2.c1 AND t2.c5 IS NOT DISTINCT FROM t2.c5 AND t2.c5 IS NOT DISTINCT FROM t2.c5, output: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, t1.c3, $expr4, t1.c2, t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, t1._row_id, $expr1] }
├─StreamExchange { dist: HashShard(t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5) }
│ └─StreamProject { exprs: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5] }
│ └─StreamProject { exprs: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5], aggs: [count] }
│ └─StreamExchange { dist: HashShard(t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5) }
│ └─StreamTableScan { table: t2, columns: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, t2._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t2._row_id], pk: [_row_id], dist: UpstreamHashShard(t2._row_id) }
Expand All @@ -235,7 +235,7 @@
└─StreamFilter { predicate: (t2.c5 <= $expr2) }
└─StreamHashJoin { type: Inner, predicate: t2.c1 = t1.c1 AND $expr1 = $expr3, output: all }
├─StreamExchange { dist: HashShard(t2.c1, $expr1) }
│ └─StreamProject { exprs: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, AtTimeZone(t2.c5, 'UTC':Varchar)::Date as $expr1] }
│ └─StreamProject { exprs: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, AtTimeZone(t2.c5, 'UTC':Varchar)::Date as $expr1], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5], aggs: [count] }
│ └─StreamExchange { dist: HashShard(t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5) }
│ └─StreamTableScan { table: t2, columns: [t2.c7, t2.c7, t2.c8, t2.c7, t2.c7, t2.c8, t2.c1, t2.c5, t2.c5, t2._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t2._row_id], pk: [_row_id], dist: UpstreamHashShard(t2._row_id) }
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4 changes: 2 additions & 2 deletions src/frontend/planner_test/tests/testdata/output/nexmark.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -748,7 +748,7 @@
│ └─StreamProject { exprs: [person.id, person.name, $expr1, ($expr1 + '00:00:10':Interval) as $expr2] }
│ └─StreamProject { exprs: [person.id, person.name, person.date_time, TumbleStart(person.date_time, '00:00:10':Interval) as $expr1] }
│ └─StreamTableScan { table: person, columns: [person.id, person.name, person.date_time], stream_scan_type: ArrangementBackfill, stream_key: [person.id], pk: [id], dist: UpstreamHashShard(person.id) }
└─StreamProject { exprs: [auction.seller, $expr3, $expr4] }
└─StreamProject { exprs: [auction.seller, $expr3, $expr4], noop_update_hint: true }
└─StreamHashAgg { group_key: [auction.seller, $expr3, $expr4], aggs: [count] }
└─StreamExchange { dist: HashShard(auction.seller, $expr3, $expr4) }
└─StreamProject { exprs: [auction.seller, $expr3, ($expr3 + '00:00:10':Interval) as $expr4, auction.id] }
Expand All @@ -764,7 +764,7 @@
StreamHashJoin { type: Inner, predicate: person.id = auction.seller AND $expr1 = $expr3 AND $expr2 = $expr4, output: [person.id, internal_last_seen_value(person.name), $expr1, $expr2, auction.seller, $expr3, $expr4] }
├── tables: [ HashJoinLeft: 0, HashJoinDegreeLeft: 1, HashJoinRight: 2, HashJoinDegreeRight: 3 ]
├── StreamExchange Hash([0, 1, 2]) from 2
└── StreamProject { exprs: [auction.seller, $expr3, $expr4] }
└── StreamProject { exprs: [auction.seller, $expr3, $expr4], noop_update_hint: true }
└── StreamHashAgg { group_key: [auction.seller, $expr3, $expr4], aggs: [count] } { tables: [ HashAggState: 6 ] }
└── StreamExchange Hash([0, 1, 2]) from 3
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -77,7 +77,7 @@
└─LogicalScan { table: t, columns: [t.v1, t.v2, t.v3] }
stream_plan: |-
StreamMaterialize { columns: [v1, v2, v3], stream_key: [v1, v2, v3], pk_columns: [v1, v2, v3], pk_conflict: NoCheck }
└─StreamProject { exprs: [t.v1, t.v2, t.v3] }
└─StreamProject { exprs: [t.v1, t.v2, t.v3], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.v1, t.v2, t.v3], aggs: [count] }
└─StreamExchange { dist: HashShard(t.v1, t.v2, t.v3) }
└─StreamTableScan { table: t, columns: [t.v1, t.v2, t.v3, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -118,7 +118,7 @@
└─BatchScan { table: t, columns: [t.x], distribution: SomeShard }
stream_plan: |-
StreamMaterialize { columns: [unnest], stream_key: [unnest], pk_columns: [unnest], pk_conflict: NoCheck }
└─StreamProject { exprs: [Unnest($0)] }
└─StreamProject { exprs: [Unnest($0)], noop_update_hint: true }
└─StreamHashAgg { group_key: [Unnest($0)], aggs: [count] }
└─StreamExchange { dist: HashShard(Unnest($0)) }
└─StreamProjectSet { select_list: [Unnest($0), $1] }
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6 changes: 3 additions & 3 deletions src/frontend/planner_test/tests/testdata/output/share.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -222,12 +222,12 @@
└─StreamStatelessSimpleAgg { aggs: [count] }
└─StreamHashJoin { type: Inner, predicate: t.a = t.a, output: all }
├─StreamShare { id: 4 }
│ └─StreamProject { exprs: [t.a] }
│ └─StreamProject { exprs: [t.a], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [t.a], aggs: [count] }
│ └─StreamExchange { dist: HashShard(t.a) }
│ └─StreamTableScan { table: t, columns: [t.a, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
└─StreamShare { id: 4 }
└─StreamProject { exprs: [t.a] }
└─StreamProject { exprs: [t.a], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.a], aggs: [count] }
└─StreamExchange { dist: HashShard(t.a) }
└─StreamTableScan { table: t, columns: [t.a, t._row_id], stream_scan_type: ArrangementBackfill, stream_key: [t._row_id], pk: [_row_id], dist: UpstreamHashShard(t._row_id) }
Expand All @@ -251,7 +251,7 @@
└── StreamExchange NoShuffle from 4
Fragment 2
StreamProject { exprs: [t.a] }
StreamProject { exprs: [t.a], noop_update_hint: true }
└── StreamHashAgg { group_key: [t.a], aggs: [count] } { tables: [ HashAggState: 5 ] }
└── StreamExchange Hash([0]) from 3
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10 changes: 5 additions & 5 deletions src/frontend/planner_test/tests/testdata/output/subquery.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -331,9 +331,9 @@
│ └─StreamHopWindow { time_col: auction.date_time, slide: 00:00:01, size: 01:00:00, output: [auction.date_time, window_start, window_end, auction._row_id] }
│ └─StreamFilter { predicate: IsNotNull(auction.date_time) }
│ └─StreamTableScan { table: auction, columns: [auction.date_time, auction._row_id], stream_scan_type: ArrangementBackfill, stream_key: [auction._row_id], pk: [_row_id], dist: UpstreamHashShard(auction._row_id) }
└─StreamProject { exprs: [auction.date_time] }
└─StreamProject { exprs: [auction.date_time], noop_update_hint: true }
└─StreamHashAgg { group_key: [auction.date_time], aggs: [count] }
└─StreamProject { exprs: [auction.date_time] }
└─StreamProject { exprs: [auction.date_time], noop_update_hint: true }
└─StreamHashAgg { group_key: [auction.date_time], aggs: [count] }
└─StreamExchange { dist: HashShard(auction.date_time) }
└─StreamShare { id: 3 }
Expand Down Expand Up @@ -529,13 +529,13 @@
└─StreamProject { exprs: [t.x, sum(Unnest($0))] }
└─StreamHashAgg { group_key: [t.x], aggs: [sum(Unnest($0)), count] }
└─StreamHashJoin { type: LeftOuter, predicate: t.x IS NOT DISTINCT FROM t.x, output: [t.x, Unnest($0), t.x, projected_row_id] }
├─StreamProject { exprs: [t.x] }
├─StreamProject { exprs: [t.x], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [t.x], aggs: [count] }
│ └─StreamExchange { dist: HashShard(t.x) }
│ └─StreamTableScan { table: t, columns: [t.x, t.k], stream_scan_type: ArrangementBackfill, stream_key: [t.k], pk: [k], dist: UpstreamHashShard(t.k) }
└─StreamProject { exprs: [t.x, Unnest($0), projected_row_id] }
└─StreamProjectSet { select_list: [$0, Unnest($0)] }
└─StreamProject { exprs: [t.x] }
└─StreamProject { exprs: [t.x], noop_update_hint: true }
└─StreamHashAgg { group_key: [t.x], aggs: [count] }
└─StreamExchange { dist: HashShard(t.x) }
└─StreamTableScan { table: t, columns: [t.x, t.k], stream_scan_type: ArrangementBackfill, stream_key: [t.k], pk: [k], dist: UpstreamHashShard(t.k) }
Expand Down Expand Up @@ -817,7 +817,7 @@
└─StreamProject { exprs: [integers.correlated_col, (count(distinct rows.k) + count(distinct rows.v)) as $expr1] }
└─StreamHashAgg { group_key: [integers.correlated_col], aggs: [count(distinct rows.k), count(distinct rows.v), count] }
└─StreamHashJoin { type: LeftOuter, predicate: integers.correlated_col IS NOT DISTINCT FROM rows.correlated_col, output: [integers.correlated_col, rows.k, rows.v, rows._row_id] }
├─StreamProject { exprs: [integers.correlated_col] }
├─StreamProject { exprs: [integers.correlated_col], noop_update_hint: true }
│ └─StreamHashAgg { group_key: [integers.correlated_col], aggs: [count] }
│ └─StreamExchange { dist: HashShard(integers.correlated_col) }
│ └─StreamTableScan { table: integers, columns: [integers.correlated_col, integers._row_id], stream_scan_type: ArrangementBackfill, stream_key: [integers._row_id], pk: [_row_id], dist: UpstreamHashShard(integers._row_id) }
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