my-ship-it commented on PR #1014:
URL: https://github.com/apache/cloudberry/pull/1014#issuecomment-2760113328
> > Nice feature! Have we tested how much improvement there is in
performance?
>
> 100G local TPCDS 67
>
> no open the split window function
>
> ```
>
QUERY PLAN
>
>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
-------------------------------------------------------------------------------------------------------------
> Limit (cost=0.00..177596.00 rows=100 width=68) (actual
time=523610.609..523610.756 rows=100 loops=1)
> -> Gather Motion 3:1 (slice1; segments: 3) (cost=0.00..177595.99
rows=100 width=68) (actual time=523610.603..523610.719 rows=100 loops=1)
> Merge Key: share0_ref2.i_category, share0_ref2.i_class,
share0_ref2.i_brand, share0_ref2.i_product_name, share0_ref2.d_year,
share0_ref2.d_qoy, share0_ref2.d_moy, share0_ref2.s_store_id, (sum(COALESCE((sha
> re0_ref2.ss_sales_price * (share0_ref2.ss_quantity)::numeric),
'0'::numeric))), (rank() OVER (?))
> -> Limit (cost=0.00..177595.97 rows=34 width=68) (actual
time=522531.804..522531.843 rows=100 loops=1)
> -> Sort (cost=0.00..177595.97 rows=3670746 width=68)
(actual time=522531.798..522531.811 rows=100 loops=1)
> Sort Key: share0_ref2.i_category,
share0_ref2.i_class, share0_ref2.i_brand, share0_ref2.i_product_name,
share0_ref2.d_year, share0_ref2.d_qoy, share0_ref2.d_moy,
share0_ref2.s_store_id, (sum(CO
> ALESCE((share0_ref2.ss_sales_price * (share0_ref2.ss_quantity)::numeric),
'0'::numeric))), (rank() OVER (?))
> Sort Method: top-N heapsort Memory: 76kB
> Sort Method: quicksort Memory: 50kB
> -> Result (cost=0.00..146731.77 rows=3670746
width=68) (actual time=486153.708..522531.281 rows=500 loops=1)
> Filter: ((rank() OVER (?)) <= 100)
> -> WindowAgg (cost=0.00..146429.85
rows=9176865 width=68) (actual time=487303.951..522454.943 rows=19826918
loops=1)
> Partition By: share0_ref2.i_category
> Order By:
(sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric)))
> -> Sort (cost=0.00..145879.24
rows=9176865 width=60) (actual time=487303.888..500640.596 rows=19826918
loops=1)
> Sort Key: share0_ref2.i_category,
(sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric))) DESC
> Sort Method: external merge Disk:
4971392kB
> -> Redistribute Motion 3:3
(slice2; segments: 3) (cost=0.00..73669.44 rows=9176865 width=60) (actual
time=95016.791..374486.029 rows=19826918 loops=1)
> Hash Key:
share0_ref2.i_category
> -> Sequence
(cost=0.00..71946.02 rows=9176865 width=60) (actual time=95009.120..294309.818
rows=16474083 loops=1)
> -> Shared Scan (share
slice:id 2:0) (cost=0.00..50970.94 rows=19877815 width=1) (actual
time=64576.346..64576.415 rows=0 loops=1)
> -> Hash Join
(cost=0.00..50951.06 rows=19877815 width=93) (actual time=80.849..55414.852
rows=17955350 loops=1)
> Hash Cond:
(store_sales.ss_item_sk = item.i_item_sk)
> Extra Text:
(seg2) Initial batch 0:
> (seg2) Wrote 2624K bytes to inner workfile.
> (seg2) Wrote 563584K bytes to outer workfile.
> (seg2) Initial batch 1:
> (seg2) Read 2654K bytes from inner workfile.
> (seg2) Read 563608K bytes from outer workfile.
> (seg2) Hash chain length 2.4 avg, 12 max, using 28696 of 32768 buckets.
> -> Hash
Join (cost=0.00..39959.34 rows=19877815 width=43) (actual
time=30.457..43266.945 rows=17955350 loops=1)
> Hash
Cond: (store_sales.ss_store_sk = store.s_store_sk)
> Extra
Text: (seg1) Hash chain length 1.0 avg, 2 max, using 396 of 16384 buckets.
> ->
Hash Join (cost=0.00..32718.49 rows=19877815 width=30) (actual
time=28.526..38525.198 rows=18388460 loops=1)
>
Hash Cond: (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
>
Extra Text: (seg1) Hash chain length 1.0 avg, 2 max, using 362 of 16384
buckets.
>
-> Seq Scan on store_sales (cost=0.00..8298.12 rows=95999008 width=22)
(actual time=28.246..25372.148 rows=96136561 loops=1)
>
-> Hash (cost=433.92..433.92 rows=378 width=16) (actual time=0.163..0.182
rows=366 loops=1)
>
Buckets: 16384 Batches: 1 Memory Usage: 146kB
>
-> Broadcast Motion 3:3 (slice3; segments: 3) (cost=0.00..433.92
rows=378 width=16) (actual time=0.050..0.101 rows=366 loops=1)
>
-> Seq Scan on date_dim (cost=0.00..433.81 rows=126 width=16)
(actual time=7.888..9.099 rows=131 loops=1)
>
Filter: ((d_month_seq >= 1194) AND (d_month_seq <= 1205))
> ->
Hash (cost=431.06..431.06 rows=402 width=21) (actual time=1.820..1.825
rows=402 loops=1)
>
Buckets: 16384 Batches: 1 Memory Usage: 149kB
>
-> Seq Scan on store (cost=0.00..431.06 rows=402 width=21) (actual
time=1.662..1.723 rows=402 loops=1)
> -> Hash
(cost=442.52..442.52 rows=68000 width=58) (actual time=51.313..51.314
rows=68056 loops=1)
>
Buckets: 16384 Batches: 2 Memory Usage: 3195kB
> ->
Seq Scan on item (cost=0.00..442.52 rows=68000 width=58) (actual
time=8.209..27.778 rows=68056 loops=1)
> -> Append
(cost=0.00..20424.47 rows=9176865 width=60) (actual time=29690.265..227495.952
rows=16474083 loops=1)
> -> HashAggregate
(cost=0.00..4067.30 rows=2261654 width=91) (actual time=29690.256..58869.239
rows=15717060 loops=1)
> Group Key:
share0_ref2.i_category, share0_ref2.i_class, share0_ref2.i_brand,
share0_ref2.i_product_name, share0_ref2.d_year, share0_ref2.d_qoy, share0_
> ref2.d_moy, share0_ref2.s_store_id
> Planned
Partitions: 64
> ->
Redistribute Motion 3:3 (slice4; segments: 3) (cost=0.00..1596.25
rows=2261654 width=93) (actual time=0.031..12446.519 rows=17958340 loops=1)
> Hash
Key: share0_ref2.i_category, share0_ref2.i_class, share0_ref2.i_brand,
share0_ref2.i_product_name, share0_ref2.d_year, share0_ref2.d_qoy, sh
> are0_ref2.d_moy, share0_ref2.s_store_id
> ->
Shared Scan (share slice:id 4:0) (cost=0.00..937.90 rows=2261654 width=93)
(actual time=64175.709..67544.595 rows=17955350 loops=1)
> -> HashAggregate
(cost=0.00..3508.14 rows=2261654 width=74) (actual time=26920.341..39780.737
rows=467057 loops=1)
> Group Key:
share0_ref3.i_category, share0_ref3.i_class, share0_ref3.i_brand,
share0_ref3.i_product_name, share0_ref3.d_year, share0_ref3.d_qoy, share0_
> ref3.d_moy
> Planned
Partitions: 64
> ->
Redistribute Motion 3:3 (slice5; segments: 3) (cost=0.00..1383.25
rows=2261654 width=76) (actual time=0.045..10845.428 rows=17976018 loops=1)
> Hash
Key: share0_ref3.i_category, share0_ref3.i_class, share0_ref3.i_brand,
share0_ref3.i_product_name, share0_ref3.d_year, share0_ref3.d_qoy, sh
> are0_ref3.d_moy
> ->
Result (cost=0.00..845.24 rows=2261654 width=76) (actual
time=64176.217..71746.121 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 5:0) (cost=0.00..845.24 rows=2261654 width=76)
(actual time=64176.204..68475.124 rows=17955350 loops=1)
> -> HashAggregate
(cost=0.00..3156.72 rows=2261654 width=70) (actual time=25750.792..37326.978
rows=166615 loops=1)
> Group Key:
share0_ref4.i_category, share0_ref4.i_class, share0_ref4.i_brand,
share0_ref4.i_product_name, share0_ref4.d_year, share0_ref4.d_qoy
> Planned
Partitions: 64
> ->
Redistribute Motion 3:3 (slice6; segments: 3) (cost=0.00..1333.13
rows=2261654 width=72) (actual time=0.038..9769.600 rows=17994686 loops=1)
> Hash
Key: share0_ref4.i_category, share0_ref4.i_class, share0_ref4.i_brand,
share0_ref4.i_product_name, share0_ref4.d_year, share0_ref4.d_qoy
> ->
Result (cost=0.00..823.44 rows=2261654 width=72) (actual
time=64176.062..70529.421 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 6:0) (cost=0.00..823.44 rows=2261654 width=72)
(actual time=64176.053..67366.830 rows=17955350 loops=1)
> -> HashAggregate
(cost=0.00..2807.33 rows=2261654 width=66) (actual time=23863.814..34288.686
rows=78737 loops=1)
> Group Key:
share0_ref5.i_category, share0_ref5.i_class, share0_ref5.i_brand,
share0_ref5.i_product_name, share0_ref5.d_year
> Planned
Partitions: 64
> ->
Redistribute Motion 3:3 (slice7; segments: 3) (cost=0.00..1283.01
rows=2261654 width=68) (actual time=0.039..8534.496 rows=17989739 loops=1)
> Hash
Key: share0_ref5.i_category, share0_ref5.i_class, share0_ref5.i_brand,
share0_ref5.i_product_name, share0_ref5.d_year
> ->
Result (cost=0.00..801.64 rows=2261654 width=68) (actual
time=64176.002..70641.900 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 7:0) (cost=0.00..801.64 rows=2261654 width=68)
(actual time=64175.991..67525.520 rows=17955350 loops=1)
> -> Finalize
HashAggregate (cost=0.00..1985.44 rows=68000 width=62) (actual
time=42704.419..55000.120 rows=45314 loops=1)
> Group Key:
share0_ref6.i_category, share0_ref6.i_class, share0_ref6.i_brand,
share0_ref6.i_product_name
> Planned
Partitions: 4
> ->
Redistribute Motion 3:3 (slice8; segments: 3) (cost=0.00..1948.54 rows=68000
width=62) (actual time=0.027..29152.912 rows=13920693 loops=1)
> Hash
Key: share0_ref6.i_category, share0_ref6.i_class, share0_ref6.i_brand,
share0_ref6.i_product_name
> ->
Streaming Partial HashAggregate (cost=0.00..1935.35 rows=68000 width=62)
(actual time=64193.775..94813.201 rows=13890651 loops=1)
>
Group Key: share0_ref6.i_category, share0_ref6.i_class, share0_ref6.i_brand,
share0_ref6.i_product_name
>
Planned Partitions: 4
>
-> Shared Scan (share slice:id 8:0) (cost=0.00..779.84 rows=2261654 width=64)
(actual time=64175.078..67437.062 rows=17955350 loops=1)
> -> Finalize
HashAggregate (cost=0.00..1534.46 rows=62040 width=39) (actual
time=2.850..3.251 rows=424 loops=1)
> Group Key:
share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
> Planned
Partitions: 4
> ->
Redistribute Motion 3:3 (slice9; segments: 3) (cost=0.00..1509.95 rows=62040
width=39) (actual time=0.037..0.418 rows=1078 loops=1)
> Hash
Key: share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
> ->
Streaming Partial HashAggregate (cost=0.00..1502.38 rows=62040 width=39)
(actual time=79021.352..79022.281 rows=1039 loops=1)
>
Group Key: share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
>
Planned Partitions: 4
>
-> Shared Scan (share slice:id 9:0) (cost=0.00..654.47 rows=2261654 width=41)
(actual time=64174.789..67057.898 rows=17955350 loops=1)
> -> Finalize
HashAggregate (cost=0.00..1115.83 rows=207 width=22) (actual time=0.256..0.283
rows=67 loops=1)
> Group Key:
share0_ref8.i_category, share0_ref8.i_class
> ->
Redistribute Motion 3:3 (slice10; segments: 3) (cost=0.00..1115.78 rows=207
width=22) (actual time=0.019..0.055 rows=154 loops=1)
> Hash
Key: share0_ref8.i_category, share0_ref8.i_class
> ->
Streaming Partial HashAggregate (cost=0.00..1115.76 rows=207 width=22) (actual
time=78380.489..78380.586 rows=153 loops=1)
>
Group Key: share0_ref8.i_category, share0_ref8.i_class
>
-> Shared Scan (share slice:id 10:0) (cost=0.00..561.81 rows=2261654
width=24) (actual time=64174.998..67021.572 rows=17955350 loops=1)
> -> Finalize
HashAggregate (cost=0.00..793.15 rows=4 width=14) (actual time=0.088..0.091
rows=5 loops=1)
> Group Key:
share0_ref9.i_category
> ->
Redistribute Motion 3:3 (slice11; segments: 3) (cost=0.00..793.15 rows=4
width=14) (actual time=0.007..0.015 rows=15 loops=1)
> Hash
Key: share0_ref9.i_category
> ->
Streaming Partial HashAggregate (cost=0.00..793.15 rows=4 width=14) (actual
time=76016.915..76016.924 rows=11 loops=1)
>
Group Key: share0_ref9.i_category
>
-> Shared Scan (share slice:id 11:0) (cost=0.00..518.21 rows=2261654
width=16) (actual time=64174.583..67087.364 rows=17955350 loops=1)
> -> Result
(cost=0.00..490.57 rows=1 width=60) (actual time=0.021..0.021 rows=1 loops=1)
> ->
Redistribute Motion 1:3 (slice12) (cost=0.00..490.57 rows=1 width=8) (actual
time=0.009..0.009 rows=1 loops=1)
> ->
Finalize Aggregate (cost=0.00..490.57 rows=1 width=8) (actual
time=73987.592..73987.593 rows=1 loops=1)
>
-> Gather Motion 3:1 (slice13; segments: 3) (cost=0.00..490.57 rows=1
width=8) (actual time=73087.948..73987.500 rows=3 loops=1)
>
-> Partial Aggregate (cost=0.00..490.57 rows=1 width=8) (actual
time=73224.866..73224.868 rows=1 loops=1)
>
-> Shared Scan (share slice:id 13:0) (cost=0.00..485.51
rows=2261654 width=10) (actual time=64174.706..67247.439 rows=1795535
> 0 loops=1)
> Planning Time: 177.489 ms
> (slice0) Executor memory: 6455K bytes.
> (slice1) Executor memory: 26257K bytes avg x 3x(0) workers, 26401K
bytes max (seg1). Work_mem: 9294K bytes max.
> * (slice2) Executor memory: 99381K bytes avg x 3x(0) workers, 99696K
bytes max (seg0). Work_mem: 140185K bytes max, 6247K bytes wanted.
> (slice3) Executor memory: 15830K bytes avg x 3x(0) workers, 15830K
bytes max (seg0).
> (slice4) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice5) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice6) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice7) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice8) Executor memory: 4312K bytes avg x 3x(0) workers, 4312K
bytes max (seg2). Work_mem: 6937K bytes max.
> (slice9) Executor memory: 1227K bytes avg x 3x(0) workers, 1232K
bytes max (seg0). Work_mem: 1297K bytes max.
> (slice10) Executor memory: 141K bytes avg x 3x(0) workers, 143K bytes
max (seg2). Work_mem: 160K bytes max.
> (slice11) Executor memory: 127K bytes avg x 3x(0) workers, 127K bytes
max (seg0). Work_mem: 24K bytes max.
> (slice12) Executor memory: 120K bytes (entry db).
> (slice13) Executor memory: 122K bytes avg x 3x(0) workers, 122K bytes
max (seg0).
> Memory used: 128000kB
> Memory wanted: 177989kB
> Optimizer: GPORCA
> Execution Time: 524116.710 ms
> (132 rows)
> ```
>
> open the split window function
>
> ```
>
QUERY PLAN
>
>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
-------------------------------------------------------------------------------------------------------------
> Limit (cost=0.00..30985.00 rows=100 width=68) (actual
time=414318.540..414318.818 rows=100 loops=1)
> -> Gather Motion 3:1 (slice1; segments: 3) (cost=0.00..30984.99
rows=100 width=68) (actual time=414318.530..414318.773 rows=100 loops=1)
> Merge Key: share0_ref2.i_category, share0_ref2.i_class,
share0_ref2.i_brand, share0_ref2.i_product_name, share0_ref2.d_year,
share0_ref2.d_qoy, share0_ref2.d_moy, share0_ref2.s_store_id, (sum(COALESCE((sha
> re0_ref2.ss_sales_price * (share0_ref2.ss_quantity)::numeric),
'0'::numeric))), (rank() OVER (?))
> -> Limit (cost=0.00..30984.97 rows=34 width=68) (actual
time=414315.650..414315.686 rows=100 loops=1)
> -> Sort (cost=0.00..30984.96 rows=3670746 width=68)
(actual time=414315.645..414315.656 rows=100 loops=1)
> Sort Key: share0_ref2.i_category,
share0_ref2.i_class, share0_ref2.i_brand, share0_ref2.i_product_name,
share0_ref2.d_year, share0_ref2.d_qoy, share0_ref2.d_moy,
share0_ref2.s_store_id, (sum(CO
> ALESCE((share0_ref2.ss_sales_price * (share0_ref2.ss_quantity)::numeric),
'0'::numeric))), (rank() OVER (?))
> Sort Method: top-N heapsort Memory: 76kB
> Sort Method: quicksort Memory: 50kB
> -> Result (cost=0.00..120.77 rows=3670746 width=68)
(actual time=414313.331..414315.182 rows=500 loops=1)
> Filter: ((rank() OVER (?)) <= 100)
> -> WindowAgg (cost=0.00..0.00 rows=3670746
width=68) (actual time=414313.323..414315.038 rows=1500 loops=1)
> Partition By: share0_ref2.i_category
> Order By:
(sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric)))
> -> Sort (cost=0.00..172930.83
rows=3670746 width=60) (actual time=414313.268..414313.375 rows=1500 loops=1)
> Sort Key: share0_ref2.i_category,
(sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric))) DESC
> Sort Method: quicksort Memory:
536kB
> -> Redistribute Motion 3:3
(slice2; segments: 3) (cost=0.00..145697.72 rows=3670746 width=60) (actual
time=397585.236..414308.966 rows=1500 loops=1)
> Hash Key:
share0_ref2.i_category
> -> Result
(cost=0.00..145008.35 rows=3670746 width=60) (actual
time=381889.133..413604.970 rows=1100 loops=1)
> Filter: ((rank() OVER
(?)) <= 100)
> -> WindowAgg
(cost=0.00..144706.44 rows=9176865 width=68) (actual
time=382110.872..412837.000 rows=16474083 loops=1)
> Partition By:
share0_ref2.i_category
> Order By:
(sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric)))
> -> Sort
(cost=0.00..144155.82 rows=9176865 width=60) (actual
time=382110.744..394853.266 rows=16474083 loops=1)
> Sort Key:
share0_ref2.i_category, (sum(COALESCE((share0_ref2.ss_sales_price *
(share0_ref2.ss_quantity)::numeric), '0'::numeric))) DESC
> Sort
Method: external merge Disk: 4971424kB
> ->
Sequence (cost=0.00..71946.02 rows=9176865 width=60) (actual
time=92851.018..287538.555 rows=16474083 loops=1)
> ->
Shared Scan (share slice:id 2:0) (cost=0.00..50970.94 rows=19877815 width=1)
(actual time=64096.019..64096.134 rows=0 loops=1)
>
-> Hash Join (cost=0.00..50951.06 rows=19877815 width=93) (actual
time=89.246..55333.745 rows=17955350 loops=1)
>
Hash Cond: (store_sales.ss_item_sk = item.i_item_sk)
>
Extra Text: (seg2) Initial batch 0:
> (seg2) Wrote 2624K bytes to inner workfile.
> (seg2) Wrote 563584K bytes to outer workfile.
> (seg2) Initial batch 1:
> (seg2) Read 2654K bytes from inner workfile.
> (seg2) Read 563608K bytes from outer workfile.
> (seg2) Hash chain length 2.4 avg, 12 max, using 28696 of 32768 buckets.
>
-> Hash Join (cost=0.00..39959.34 rows=19877815 width=43) (actual
time=34.522..43323.503 rows=17955350 loops=1)
>
Hash Cond: (store_sales.ss_store_sk = store.s_store_sk)
>
Extra Text: (seg1) Hash chain length 1.0 avg, 2 max, using 396 of
16384 buckets.
>
-> Hash Join (cost=0.00..32718.49 rows=19877815 width=30) (actual
time=32.546..38605.147 rows=18388460 loops=1)
>
Hash Cond: (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
>
Extra Text: (seg1) Hash chain length 1.0 avg, 2 max, using
362 of 16384 buckets.
>
-> Seq Scan on store_sales (cost=0.00..8298.12
rows=95999008 width=22) (actual time=32.223..24974.741 rows=96136561 loo
> ps=1)
>
-> Hash (cost=433.92..433.92 rows=378 width=16) (actual
time=0.158..0.197 rows=366 loops=1)
>
Buckets: 16384 Batches: 1 Memory Usage: 146kB
>
-> Broadcast Motion 3:3 (slice3; segments: 3)
(cost=0.00..433.92 rows=378 width=16) (actual time=0.043..0.086 ro
> ws=366 loops=1)
>
-> Seq Scan on date_dim (cost=0.00..433.81
rows=126 width=16) (actual time=8.465..9.638 rows=131 loops=1)
>
Filter: ((d_month_seq >= 1194) AND
(d_month_seq <= 1205))
>
-> Hash (cost=431.06..431.06 rows=402 width=21) (actual
time=1.570..1.574 rows=402 loops=1)
>
Buckets: 16384 Batches: 1 Memory Usage: 149kB
>
-> Seq Scan on store (cost=0.00..431.06 rows=402 width=21)
(actual time=1.422..1.482 rows=402 loops=1)
>
-> Hash (cost=442.52..442.52 rows=68000 width=58) (actual
time=54.991..54.998 rows=68056 loops=1)
>
Buckets: 16384 Batches: 2 Memory Usage: 3195kB
>
-> Seq Scan on item (cost=0.00..442.52 rows=68000 width=58)
(actual time=9.099..29.329 rows=68056 loops=1)
> ->
Append (cost=0.00..20424.47 rows=9176865 width=60) (actual
time=29250.062..222573.570 rows=16474083 loops=1)
>
-> HashAggregate (cost=0.00..4067.30 rows=2261654 width=91) (actual
time=29250.052..56813.808 rows=15717060 loops=1)
>
Group Key: share0_ref2.i_category, share0_ref2.i_class,
share0_ref2.i_brand, share0_ref2.i_product_name, share0_ref2.d_year, share0_r
> ef2.d_qoy, share0_ref2.d_moy, share0_ref2.s_store_id
>
Planned Partitions: 64
>
-> Redistribute Motion 3:3 (slice4; segments: 3) (cost=0.00..1596.25
rows=2261654 width=93) (actual time=0.708..12617.517 rows=179
> 58340 loops=1)
>
Hash Key: share0_ref2.i_category, share0_ref2.i_class,
share0_ref2.i_brand, share0_ref2.i_product_name, share0_ref2.d_year, sha
> re0_ref2.d_qoy, share0_ref2.d_moy, share0_ref2.s_store_id
>
-> Shared Scan (share slice:id 4:0) (cost=0.00..937.90
rows=2261654 width=93) (actual time=63805.090..67028.352 rows=17955350
> loops=1)
>
-> HashAggregate (cost=0.00..3508.14 rows=2261654 width=74) (actual
time=26552.708..39255.732 rows=467057 loops=1)
>
Group Key: share0_ref3.i_category, share0_ref3.i_class,
share0_ref3.i_brand, share0_ref3.i_product_name, share0_ref3.d_year, share0_r
> ef3.d_qoy, share0_ref3.d_moy
>
Planned Partitions: 64
>
-> Redistribute Motion 3:3 (slice5; segments: 3) (cost=0.00..1383.25
rows=2261654 width=76) (actual time=0.043..11135.810 rows=179
> 76018 loops=1)
>
Hash Key: share0_ref3.i_category, share0_ref3.i_class,
share0_ref3.i_brand, share0_ref3.i_product_name, share0_ref3.d_year, sha
> re0_ref3.d_qoy, share0_ref3.d_moy
>
-> Result (cost=0.00..845.24 rows=2261654 width=76) (actual
time=63804.232..70554.258 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 5:0) (cost=0.00..845.24
rows=2261654 width=76) (actual time=63804.223..67289.819 rows=17
> 955350 loops=1)
>
-> HashAggregate (cost=0.00..3156.72 rows=2261654 width=70) (actual
time=25094.724..36630.710 rows=166615 loops=1)
>
Group Key: share0_ref4.i_category, share0_ref4.i_class,
share0_ref4.i_brand, share0_ref4.i_product_name, share0_ref4.d_year, share0_r
> ef4.d_qoy
>
Planned Partitions: 64
>
-> Redistribute Motion 3:3 (slice6; segments: 3) (cost=0.00..1333.13
rows=2261654 width=72) (actual time=0.037..9229.505 rows=1799
> 4686 loops=1)
>
Hash Key: share0_ref4.i_category, share0_ref4.i_class,
share0_ref4.i_brand, share0_ref4.i_product_name, share0_ref4.d_year, sha
> re0_ref4.d_qoy
>
-> Result (cost=0.00..823.44 rows=2261654 width=72) (actual
time=63804.724..70328.415 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 6:0) (cost=0.00..823.44
rows=2261654 width=72) (actual time=63804.716..67093.220 rows=17
> 955350 loops=1)
>
-> HashAggregate (cost=0.00..2807.33 rows=2261654 width=66) (actual
time=22360.839..32882.021 rows=78737 loops=1)
>
Group Key: share0_ref5.i_category, share0_ref5.i_class,
share0_ref5.i_brand, share0_ref5.i_product_name, share0_ref5.d_year
>
Planned Partitions: 64
>
-> Redistribute Motion 3:3 (slice7; segments: 3) (cost=0.00..1283.01
rows=2261654 width=68) (actual time=0.048..7905.640 rows=1798
> 9739 loops=1)
>
Hash Key: share0_ref5.i_category, share0_ref5.i_class,
share0_ref5.i_brand, share0_ref5.i_product_name, share0_ref5.d_year
>
-> Result (cost=0.00..801.64 rows=2261654 width=68) (actual
time=63804.325..70084.480 rows=17955350 loops=1)
>
-> Shared Scan (share slice:id 7:0) (cost=0.00..801.64
rows=2261654 width=68) (actual time=63804.317..67023.074 rows=17
> 955350 loops=1)
>
-> Finalize HashAggregate (cost=0.00..1985.44 rows=68000 width=62) (actual
time=42461.294..54990.900 rows=45314 loops=1)
>
Group Key: share0_ref6.i_category, share0_ref6.i_class,
share0_ref6.i_brand, share0_ref6.i_product_name
>
Planned Partitions: 4
>
-> Redistribute Motion 3:3 (slice8; segments: 3) (cost=0.00..1948.54
rows=68000 width=62) (actual time=0.039..29150.048 rows=13920
> 693 loops=1)
>
Hash Key: share0_ref6.i_category, share0_ref6.i_class,
share0_ref6.i_brand, share0_ref6.i_product_name
>
-> Streaming Partial HashAggregate (cost=0.00..1935.35 rows=68000
width=62) (actual time=63817.909..94373.413 rows=13890651 l
> oops=1)
>
Group Key: share0_ref6.i_category, share0_ref6.i_class,
share0_ref6.i_brand, share0_ref6.i_product_name
>
Planned Partitions: 4
>
-> Shared Scan (share slice:id 8:0) (cost=0.00..779.84
rows=2261654 width=64) (actual time=63803.481..67249.046 rows=17
> 955350 loops=1)
>
-> Finalize HashAggregate (cost=0.00..1534.46 rows=62040 width=39) (actual
time=1.949..2.290 rows=424 loops=1)
>
Group Key: share0_ref7.i_category, share0_ref7.i_class,
share0_ref7.i_brand
>
Planned Partitions: 4
>
-> Redistribute Motion 3:3 (slice9; segments: 3) (cost=0.00..1509.95
rows=62040 width=39) (actual time=0.255..0.632 rows=1078 loop
> s=1)
>
Hash Key: share0_ref7.i_category, share0_ref7.i_class,
share0_ref7.i_brand
>
-> Streaming Partial HashAggregate (cost=0.00..1502.38 rows=62040
width=39) (actual time=78456.724..78457.648 rows=1039 loops
> =1)
>
Group Key: share0_ref7.i_category, share0_ref7.i_class,
share0_ref7.i_brand
>
Planned Partitions: 4
>
-> Shared Scan (share slice:id 9:0) (cost=0.00..654.47
rows=2261654 width=41) (actual time=63802.813..66669.679 rows=17
> 955350 loops=1)
>
-> Finalize HashAggregate (cost=0.00..1115.83 rows=207 width=22) (actual
time=0.225..0.254 rows=67 loops=1)
>
Group Key: share0_ref8.i_category, share0_ref8.i_class
>
-> Redistribute Motion 3:3 (slice10; segments: 3) (cost=0.00..1115.78
rows=207 width=22) (actual time=0.019..0.065 rows=154 loops=
> 1)
>
Hash Key: share0_ref8.i_category, share0_ref8.i_class
>
-> Streaming Partial HashAggregate (cost=0.00..1115.76 rows=207
width=22) (actual time=76435.377..76435.481 rows=153 loops=1)
>
Group Key: share0_ref8.i_category, share0_ref8.i_class
>
-> Shared Scan (share slice:id 10:0) (cost=0.00..561.81
rows=2261654 width=24) (actual time=63804.490..66601.543 rows=1
> 7955350 loops=1)
>
-> Finalize HashAggregate (cost=0.00..793.15 rows=4 width=14) (actual
time=0.090..0.096 rows=5 loops=1)
>
Group Key: share0_ref9.i_category
>
-> Redistribute Motion 3:3 (slice11; segments: 3) (cost=0.00..793.15
rows=4 width=14) (actual time=0.010..0.019 rows=15 loops=1)
>
Hash Key: share0_ref9.i_category
>
-> Streaming Partial HashAggregate (cost=0.00..793.15 rows=4
width=14) (actual time=75535.403..75535.413 rows=11 loops=1)
>
Group Key: share0_ref9.i_category
>
-> Shared Scan (share slice:id 11:0) (cost=0.00..518.21
rows=2261654 width=16) (actual time=63804.398..66633.023 rows=1
> 7955350 loops=1)
>
-> Result (cost=0.00..490.57 rows=1 width=60) (actual time=0.021..0.022
rows=1 loops=1)
>
-> Redistribute Motion 1:3 (slice12) (cost=0.00..490.57 rows=1
width=8) (actual time=0.013..0.014 rows=1 loops=1)
>
-> Finalize Aggregate (cost=0.00..490.57 rows=1 width=8) (actual
time=72588.584..72588.585 rows=1 loops=1)
>
-> Gather Motion 3:1 (slice13; segments: 3)
(cost=0.00..490.57 rows=1 width=8) (actual time=72310.130..72588.489 rows=
> 3 loops=1)
>
-> Partial Aggregate (cost=0.00..490.57 rows=1
width=8) (actual time=72589.020..72589.023 rows=1 loops=1)
>
-> Shared Scan (share slice:id 13:0)
(cost=0.00..485.51 rows=2261654 width=10) (actual time=63803.363..6673
> 2.948 rows=17955350 loops=1)
> Planning Time: 180.127 ms
> (slice0) Executor memory: 6488K bytes.
> (slice1) Executor memory: 234K bytes avg x 3x(0) workers, 284K bytes
max (seg0). Work_mem: 164K bytes max.
> * (slice2) Executor memory: 99388K bytes avg x 3x(0) workers, 99698K
bytes max (seg0). Work_mem: 140185K bytes max, 6247K bytes wanted.
> (slice3) Executor memory: 15830K bytes avg x 3x(0) workers, 15830K
bytes max (seg0).
> (slice4) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice5) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice6) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice7) Executor memory: 115K bytes avg x 3x(0) workers, 115K bytes
max (seg0).
> (slice8) Executor memory: 4312K bytes avg x 3x(0) workers, 4312K
bytes max (seg2). Work_mem: 6937K bytes max.
> (slice9) Executor memory: 1227K bytes avg x 3x(0) workers, 1232K
bytes max (seg0). Work_mem: 1297K bytes max.
> (slice10) Executor memory: 141K bytes avg x 3x(0) workers, 143K bytes
max (seg2). Work_mem: 160K bytes max.
> (slice11) Executor memory: 127K bytes avg x 3x(0) workers, 127K bytes
max (seg0). Work_mem: 24K bytes max.
> (slice12) Executor memory: 120K bytes (entry db).
> (slice13) Executor memory: 122K bytes avg x 3x(0) workers, 122K bytes
max (seg0).
> Memory used: 128000kB
> Memory wanted: 190581kB
> Optimizer: GPORCA
> Execution Time: 415836.637 ms
> (140 rows)
> ```
>
> 523610.756 -> 414318.818
There are only 3 segments in the test. If we increase the number of
segments, If I understand correctly, the acceleration effect is more obvious
because of data skew.
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