jiaqizho commented on PR #1014:
URL: https://github.com/apache/cloudberry/pull/1014#issuecomment-2757258520
For the tpcds-sql-67. local 10G
plan without split window function:
```
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..7038.29 rows=100 width=68) (actual
time=10153.758..10154.752 rows=100 loops=1)
-> Gather Motion 3:1 (slice1; segments: 3) (cost=0.00..7038.28
rows=100 width=68) (actual time=10153.748..10154.707 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..7038.25 rows=34 width=68) (actual
time=10150.843..10150.932 rows=100 loops=1)
-> Sort (cost=0.00..7038.25 rows=38131 width=68) (actual
time=10150.834..10150.848 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: 77kB
Sort Method: quicksort Memory: 52kB
-> Result (cost=0.00..6814.51 rows=38131 width=68)
(actual time=9072.669..10148.623 rows=500 loops=1)
Filter: ((rank() OVER (?)) <= 100)
-> WindowAgg (cost=0.00..6811.38 rows=95327
width=68) (actual time=9072.660..10119.180 rows=208682 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..6805.66 rows=95327
width=60) (actual time=9072.576..9414.017 rows=208682 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:
48480kB
-> Redistribute Motion 3:3 (slice2;
segments: 3) (cost=0.00..6269.25 rows=95327 width=60) (actual
time=3027.517..7256.960 rows=208682 loops=1)
Hash Key: share0_ref2.i_category
-> Sequence
(cost=0.00..6251.34 rows=95327 width=60) (actual time=3018.873..6660.456
rows=172882 loops=1)
-> Shared Scan (share
slice:id 2:0) (cost=0.00..2209.68 rows=182629 width=1) (actual
time=2383.044..2383.075 rows=0 loops=1)
-> Hash Join
(cost=0.00..2209.50 rows=182629 width=89) (actual time=24.197..2274.242
rows=181070 loops=1)
Hash Cond:
(store_sales.ss_item_sk = item.i_item_sk)
Extra Text:
(seg1) Hash chain length 1.4 avg, 5 max, using 4330 of 8192 buckets.
-> Hash Join
(cost=0.00..1675.53 rows=182629 width=43) (actual time=9.717..2123.126
rows=181070 loops=1)
Hash
Cond: (store_sales.ss_store_sk = store.s_store_sk)
Extra
Text: (seg1) Hash chain length 1.0 avg, 1 max, using 12 of 16384 buckets.
->
Hash Join (cost=0.00..1181.96 rows=182629 width=30) (actual
time=7.809..1846.978 rows=185482 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..509.68 rows=960135 width=22) (actual
time=7.419..822.884 rows=980715 loops=1)
-> Hash (cost=433.91..433.91 rows=347 width=16) (actual time=0.294..0.301
rows=366 loops=1)
Buckets: 16384 Batches: 1 Memory Usage: 146kB
-> Broadcast Motion 3:3 (slice3; segments: 3) (cost=0.00..433.91
rows=347 width=16) (actual time=0.056..0.186 rows=366 loops=1)
-> Seq Scan on date_dim (cost=0.00..433.81 rows=116 width=16)
(actual time=10.089..14.519 rows=131 loops=1)
Filter: ((d_month_seq >= 1194) AND (d_month_seq <= 1205))
->
Hash (cost=431.00..431.00 rows=12 width=21) (actual time=2.079..2.082 rows=12
loops=1)
Buckets: 16384 Batches: 1 Memory Usage: 129kB
-> Seq Scan on store (cost=0.00..431.00 rows=12 width=21) (actual
time=2.055..2.068 rows=12 loops=1)
-> Hash
(cost=432.00..432.00 rows=6000 width=54) (actual time=14.257..14.261 rows=6106
loops=1)
Buckets: 8192 Batches: 1 Memory Usage: 588kB
-> Seq
Scan on item (cost=0.00..432.00 rows=6000 width=54) (actual time=6.114..10.397
rows=6106 loops=1)
-> Append
(cost=0.00..4035.94 rows=95327 width=60) (actual time=923.653..4546.777
rows=172882 loops=1)
-> HashAggregate
(cost=0.00..463.83 rows=20780 width=87) (actual time=555.017..1181.432
rows=113790 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
->
Redistribute Motion 3:3 (slice4; segments: 3) (cost=0.00..441.25 rows=20780
width=89) (actual time=2.425..507.919 rows=177732 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..435.46 rows=20780 width=89)
(actual time=2470.814..2535.839 rows=181070 loops=1)
-> HashAggregate
(cost=0.00..458.70 rows=20780 width=70) (actual time=508.477..832.686
rows=36087 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
->
Redistribute Motion 3:3 (slice5; segments: 3) (cost=0.00..439.29 rows=20780
width=72) (actual time=0.048..103.865 rows=179338 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..434.61 rows=20780 width=72) (actual time=2469.669..2613.962
rows=181070 loops=1)
-> Shared Scan (share slice:id 5:0) (cost=0.00..434.61 rows=20780 width=72)
(actual time=2469.656..2536.910 rows=181070 loops=1)
-> HashAggregate
(cost=0.00..455.48 rows=20780 width=66) (actual time=548.505..686.800
rows=12622 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
->
Redistribute Motion 3:3 (slice6; segments: 3) (cost=0.00..438.83 rows=20780
width=68) (actual time=0.044..113.228 rows=181268 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..434.41 rows=20780 width=68) (actual time=2472.245..2605.584
rows=181070 loops=1)
-> Shared Scan (share slice:id 6:0) (cost=0.00..434.41 rows=20780 width=68)
(actual time=2472.232..2535.078 rows=181070 loops=1)
-> HashAggregate
(cost=0.00..452.28 rows=20780 width=62) (actual time=513.952..522.977 rows=6384
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
->
Redistribute Motion 3:3 (slice7; segments: 3) (cost=0.00..438.37 rows=20780
width=64) (actual time=0.041..97.226 rows=179875 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..434.20 rows=20780 width=64) (actual time=2470.839..2604.703
rows=181070 loops=1)
-> Shared Scan (share slice:id 7:0) (cost=0.00..434.20 rows=20780 width=64)
(actual time=2470.826..2535.443 rows=181070 loops=1)
-> HashAggregate
(cost=0.00..448.62 rows=6000 width=58) (actual time=475.644..482.095 rows=4043
loops=1)
Group Key:
share0_ref6.i_category, share0_ref6.i_class, share0_ref6.i_brand,
share0_ref6.i_product_name
->
Redistribute Motion 3:3 (slice8; segments: 3) (cost=0.00..437.91 rows=20780
width=60) (actual time=0.044..91.095 rows=179371 loops=1)
Hash
Key: share0_ref6.i_category, share0_ref6.i_class, share0_ref6.i_brand,
share0_ref6.i_product_name
->
Result (cost=0.00..434.00 rows=20780 width=60) (actual time=2472.201..2602.562
rows=181070 loops=1)
-> Shared Scan (share slice:id 8:0) (cost=0.00..434.00 rows=20780 width=60)
(actual time=2472.189..2535.728 rows=181070 loops=1)
-> HashAggregate
(cost=0.00..443.60 rows=6000 width=39) (actual time=451.286..451.735 rows=326
loops=1)
Group Key:
share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
->
Redistribute Motion 3:3 (slice9; segments: 3) (cost=0.00..435.72 rows=20780
width=41) (actual time=0.075..98.432 rows=190111 loops=1)
Hash
Key: share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
->
Result (cost=0.00..433.05 rows=20780 width=41) (actual time=2469.274..2596.752
rows=181070 loops=1)
-> Shared Scan (share slice:id 9:0) (cost=0.00..433.05 rows=20780 width=41)
(actual time=2469.261..2531.998 rows=181070 loops=1)
-> Finalize
HashAggregate (cost=0.00..437.37 rows=207 width=22) (actual time=0.453..0.508
rows=44 loops=1)
Group Key:
share0_ref8.i_category, share0_ref8.i_class
->
Redistribute Motion 3:3 (slice10; segments: 3) (cost=0.00..437.31 rows=207
width=22) (actual time=0.031..0.081 rows=114 loops=1)
Hash
Key: share0_ref8.i_category, share0_ref8.i_class
->
Streaming Partial HashAggregate (cost=0.00..437.30 rows=207 width=22) (actual
time=2783.335..2783.560 rows=113 loops=1)
Group Key: share0_ref8.i_category, share0_ref8.i_class
-> Shared Scan (share slice:id 10:0) (cost=0.00..432.20 rows=20780 width=24)
(actual time=2471.185..2536.471 rows=181070 loops=1)
-> Finalize
HashAggregate (cost=0.00..434.33 rows=4 width=14) (actual time=0.071..0.077
rows=5 loops=1)
Group Key:
share0_ref9.i_category
->
Redistribute Motion 3:3 (slice11; segments: 3) (cost=0.00..434.33 rows=4
width=14) (actual time=0.006..0.019 rows=15 loops=1)
Hash
Key: share0_ref9.i_category
->
Streaming Partial HashAggregate (cost=0.00..434.33 rows=4 width=14) (actual
time=2725.057..2725.078 rows=11 loops=1)
Group Key: share0_ref9.i_category
-> Shared Scan (share slice:id 11:0) (cost=0.00..431.80 rows=20780 width=16)
(actual time=2471.775..2539.370 rows=181070 loops=1)
-> Result
(cost=0.00..431.55 rows=1 width=60) (actual time=0.013..0.014 rows=1 loops=1)
->
Redistribute Motion 1:3 (slice12) (cost=0.00..431.55 rows=1 width=8) (actual
time=0.007..0.007 rows=1 loops=1)
->
Finalize Aggregate (cost=0.00..431.55 rows=1 width=8) (actual
time=2707.500..2707.501 rows=1 loops=1)
-> Gather Motion 3:1 (slice13; segments: 3) (cost=0.00..431.55 rows=1
width=8) (actual time=2322.799..2707.346 rows=3 loops=1)
-> Partial Aggregate (cost=0.00..431.55 rows=1 width=8) (actual
time=2613.818..2613.820 rows=1 loops=1)
-> Shared Scan (share slice:id 13:0) (cost=0.00..431.50 rows=20780
width=10) (actual time=2469.559..2537.793 rows=181070 loop
s=1)
Planning Time: 762.569 ms
(slice0) Executor memory: 4122K bytes.
(slice1) Executor memory: 11153K bytes avg x 3x(0) workers, 11186K
bytes max (seg2). Work_mem: 9702K bytes max.
(slice2) Executor memory: 50497K bytes avg x 3x(0) workers, 50543K
bytes max (seg2). Work_mem: 7081K bytes max.
(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: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice6) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice7) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice8) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice9) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice10) Executor memory: 136K bytes avg x 3x(0) workers, 136K bytes
max (seg0). Work_mem: 96K bytes max.
(slice11) Executor memory: 127K bytes avg x 3x(0) workers, 127K bytes
max (seg0). Work_mem: 24K bytes max.
(slice12) Executor memory: 121K bytes (entry db).
(slice13) Executor memory: 122K bytes avg x 3x(0) workers, 122K bytes
max (seg0).
Memory used: 128000kB
Optimizer: GPORCA
Execution Time: 10267.048 ms
(115 rows)
```
plan with the split window function:
```
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..225.03 rows=100 width=68) (actual
time=8575.970..8576.110 rows=100 loops=1)
-> Gather Motion 3:1 (slice1; segments: 3) (cost=0.00..225.02 rows=100
width=68) (actual time=8575.963..8576.059 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..225.00 rows=34 width=68) (actual
time=8572.731..8572.780 rows=100 loops=1)
-> Sort (cost=0.00..224.99 rows=38131 width=68) (actual
time=8572.729..8572.742 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: 77kB
Sort Method: quicksort Memory: 52kB
-> Result (cost=0.00..1.25 rows=38131 width=68)
(actual time=8566.463..8571.973 rows=500 loops=1)
Filter: ((rank() OVER (?)) <= 100)
-> WindowAgg (cost=0.00..0.00 rows=38131
width=68) (actual time=8566.457..8571.644 rows=1502 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..7001.19 rows=38131
width=60) (actual time=8566.419..8566.636 rows=1502 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: 573kB
-> Redistribute Motion 3:3 (slice2;
segments: 3) (cost=0.00..6803.77 rows=38131 width=60) (actual
time=8088.035..8559.296 rows=1502 loops=1)
Hash Key: share0_ref2.i_category
-> Result (cost=0.00..6796.61
rows=38131 width=60) (actual time=7650.464..8518.159 rows=1101 loops=1)
Filter: ((rank() OVER
(?)) <= 100)
-> WindowAgg
(cost=0.00..6793.47 rows=95327 width=68) (actual time=7653.856..8526.190
rows=172883 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..6787.76 rows=95327 width=60) (actual time=7653.805..7940.998
rows=172883 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: 48512kB
-> Sequence
(cost=0.00..6251.34 rows=95327 width=60) (actual time=2669.672..6258.307
rows=172883 loops=1)
->
Shared Scan (share slice:id 2:0) (cost=0.00..2209.68 rows=182629 width=1)
(actual time=2024.389..2024.427 rows=0 loops=1)
-> Hash Join (cost=0.00..2209.50 rows=182629 width=89) (actual
time=22.931..1721.069 rows=181070 loops=1)
Hash Cond: (store_sales.ss_item_sk = item.i_item_sk)
Extra Text: (seg1) Hash chain length 1.4 avg, 5 max, using 4330 of 8192
buckets.
-> Hash Join (cost=0.00..1675.53 rows=182629 width=43) (actual
time=8.004..1515.153 rows=181070 loops=1)
Hash Cond: (store_sales.ss_store_sk = store.s_store_sk)
Extra Text: (seg1) Hash chain length 1.0 avg, 1 max, using 12 of
16384 buckets.
-> Hash Join (cost=0.00..1181.96 rows=182629 width=30) (actual
time=6.040..1344.056 rows=185482 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..509.68 rows=960135
width=22) (actual time=5.646..863.817 rows=980715 loops=1)
-> Hash (cost=433.91..433.91 rows=347 width=16) (actual
time=0.270..0.284 rows=366 loops=1)
Buckets: 16384 Batches: 1 Memory Usage: 146kB
-> Broadcast Motion 3:3 (slice3; segments: 3)
(cost=0.00..433.91 rows=347 width=16) (actual time=0.054..0.175 ro
ws=366 loops=1)
-> Seq Scan on date_dim (cost=0.00..433.81
rows=116 width=16) (actual time=9.347..13.743 rows=131 loops=1)
Filter: ((d_month_seq >= 1194) AND
(d_month_seq <= 1205))
-> Hash (cost=431.00..431.00 rows=12 width=21) (actual
time=1.866..1.869 rows=12 loops=1)
Buckets: 16384 Batches: 1 Memory Usage: 129kB
-> Seq Scan on store (cost=0.00..431.00 rows=12 width=21)
(actual time=1.843..1.855 rows=12 loops=1)
-> Hash (cost=432.00..432.00 rows=6000 width=54) (actual
time=14.732..14.734 rows=6106 loops=1)
Buckets: 8192 Batches: 1 Memory Usage: 588kB
-> Seq Scan on item (cost=0.00..432.00 rows=6000 width=54) (actual
time=6.420..10.918 rows=6106 loops=1)
->
Append (cost=0.00..4035.94 rows=95327 width=60) (actual time=521.061..4086.452
rows=172883 loops=1)
-> HashAggregate (cost=0.00..463.83 rows=20780 width=87) (actual
time=770.509..1383.728 rows=113790 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
-> Redistribute Motion 3:3 (slice4; segments: 3) (cost=0.00..441.25
rows=20780 width=89) (actual time=0.039..116.175 rows=177732 l
oops=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..435.46 rows=20780
width=89) (actual time=1903.949..1968.391 rows=181070 loops
=1)
-> HashAggregate (cost=0.00..458.70 rows=20780 width=70) (actual
time=492.523..815.136 rows=36087 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
-> Redistribute Motion 3:3 (slice5; segments: 3) (cost=0.00..439.29
rows=20780 width=72) (actual time=0.057..97.012 rows=179338 lo
ops=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..434.61 rows=20780 width=72) (actual
time=1903.203..2043.166 rows=181070 loops=1)
-> Shared Scan (share slice:id 5:0) (cost=0.00..434.61
rows=20780 width=72) (actual time=1903.195..1967.052 rows=181070
loops=1)
-> HashAggregate (cost=0.00..455.48 rows=20780 width=66) (actual
time=529.268..650.626 rows=12622 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
-> Redistribute Motion 3:3 (slice6; segments: 3) (cost=0.00..438.83
rows=20780 width=68) (actual time=0.064..104.718 rows=181268 l
oops=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..434.41 rows=20780 width=68) (actual
time=1903.759..2037.430 rows=181070 loops=1)
-> Shared Scan (share slice:id 6:0) (cost=0.00..434.41
rows=20780 width=68) (actual time=1903.752..1967.926 rows=181070
loops=1)
-> HashAggregate (cost=0.00..452.28 rows=20780 width=62) (actual
time=518.527..527.316 rows=6384 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
-> Redistribute Motion 3:3 (slice7; segments: 3) (cost=0.00..438.37
rows=20780 width=64) (actual time=0.054..104.862 rows=179875 l
oops=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..434.20 rows=20780 width=64) (actual
time=1904.051..2035.170 rows=181070 loops=1)
-> Shared Scan (share slice:id 7:0) (cost=0.00..434.20
rows=20780 width=64) (actual time=1904.036..1967.079 rows=181070
loops=1)
-> HashAggregate (cost=0.00..448.62 rows=6000 width=58) (actual
time=473.596..478.248 rows=4043 loops=1)
Group Key: share0_ref6.i_category, share0_ref6.i_class,
share0_ref6.i_brand, share0_ref6.i_product_name
-> Redistribute Motion 3:3 (slice8; segments: 3) (cost=0.00..437.91
rows=20780 width=60) (actual time=0.055..94.226 rows=179371 lo
ops=1)
Hash Key: share0_ref6.i_category, share0_ref6.i_class,
share0_ref6.i_brand, share0_ref6.i_product_name
-> Result (cost=0.00..434.00 rows=20780 width=60) (actual
time=1903.872..2032.489 rows=181070 loops=1)
-> Shared Scan (share slice:id 8:0) (cost=0.00..434.00
rows=20780 width=60) (actual time=1903.843..1966.706 rows=181070
loops=1)
-> HashAggregate (cost=0.00..443.60 rows=6000 width=39) (actual
time=451.425..451.819 rows=326 loops=1)
Group Key: share0_ref7.i_category, share0_ref7.i_class, share0_ref7.i_brand
-> Redistribute Motion 3:3 (slice9; segments: 3) (cost=0.00..435.72
rows=20780 width=41) (actual time=0.051..99.656 rows=190111 lo
ops=1)
Hash Key: share0_ref7.i_category, share0_ref7.i_class,
share0_ref7.i_brand
-> Result (cost=0.00..433.05 rows=20780 width=41) (actual
time=1903.696..2030.135 rows=181070 loops=1)
-> Shared Scan (share slice:id 9:0) (cost=0.00..433.05
rows=20780 width=41) (actual time=1903.684..1965.483 rows=181070
loops=1)
-> Finalize HashAggregate (cost=0.00..437.37 rows=207 width=22) (actual
time=0.373..0.423 rows=44 loops=1)
Group Key: share0_ref8.i_category, share0_ref8.i_class
-> Redistribute Motion 3:3 (slice10; segments: 3) (cost=0.00..437.31
rows=207 width=22) (actual time=0.015..0.065 rows=114 loops=1
)
Hash Key: share0_ref8.i_category, share0_ref8.i_class
-> Streaming Partial HashAggregate (cost=0.00..437.30 rows=207
width=22) (actual time=2391.181..2391.403 rows=113 loops=1)
Group Key: share0_ref8.i_category, share0_ref8.i_class
-> Shared Scan (share slice:id 10:0) (cost=0.00..432.20
rows=20780 width=24) (actual time=1901.628..1966.655 rows=18107
0 loops=1)
-> Finalize HashAggregate (cost=0.00..434.33 rows=4 width=14) (actual
time=0.063..0.068 rows=5 loops=1)
Group Key: share0_ref9.i_category
-> Redistribute Motion 3:3 (slice11; segments: 3) (cost=0.00..434.33
rows=4 width=14) (actual time=0.004..0.014 rows=15 loops=1)
Hash Key: share0_ref9.i_category
-> Streaming Partial HashAggregate (cost=0.00..434.33 rows=4
width=14) (actual time=2353.708..2353.731 rows=11 loops=1)
Group Key: share0_ref9.i_category
-> Shared Scan (share slice:id 11:0) (cost=0.00..431.80
rows=20780 width=16) (actual time=1901.829..1966.270 rows=18107
0 loops=1)
-> Result (cost=0.00..431.55 rows=1 width=60) (actual time=0.006..0.007
rows=1 loops=1)
-> Redistribute Motion 1:3 (slice12) (cost=0.00..431.55 rows=1 width=8)
(actual time=0.002..0.003 rows=1 loops=1)
-> Finalize Aggregate (cost=0.00..431.55 rows=1 width=8) (actual
time=2370.830..2370.831 rows=1 loops=1)
-> Gather Motion 3:1 (slice13; segments: 3)
(cost=0.00..431.55 rows=1 width=8) (actual time=2130.668..2370.771 rows=3
loops=1)
-> Partial Aggregate (cost=0.00..431.55 rows=1 width=8)
(actual time=2247.415..2247.418 rows=1 loops=1)
-> Shared Scan (share slice:id 13:0)
(cost=0.00..431.50 rows=20780 width=10) (actual time=1903.287..1965.59
6 rows=181070 loops=1)
Planning Time: 676.409 ms
(slice0) Executor memory: 4155K bytes.
(slice1) Executor memory: 238K bytes avg x 3x(0) workers, 293K bytes
max (seg0). Work_mem: 172K bytes max.
(slice2) Executor memory: 49625K bytes avg x 3x(0) workers, 50588K
bytes max (seg0). Work_mem: 9642K bytes max.
(slice3) Executor memory: 15830K bytes avg x 3x(0) workers, 15830K
bytes max (seg0).
(slice4) Executor memory: 88K bytes avg x 3x(0) workers, 88K bytes max
(seg0).
(slice5) Executor memory: 91K bytes avg x 3x(0) workers, 91K bytes max
(seg0).
(slice6) Executor memory: 87K bytes avg x 3x(0) workers, 87K bytes max
(seg0).
(slice7) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice8) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice9) Executor memory: 116K bytes avg x 3x(0) workers, 116K bytes
max (seg0).
(slice10) Executor memory: 136K bytes avg x 3x(0) workers, 136K bytes
max (seg0). Work_mem: 96K bytes max.
(slice11) Executor memory: 127K bytes avg x 3x(0) workers, 127K bytes
max (seg0). Work_mem: 24K bytes max.
(slice12) Executor memory: 20K bytes (entry db).
(slice13) Executor memory: 122K bytes avg x 3x(0) workers, 122K bytes
max (seg0).
Memory used: 128000kB
Optimizer: GPORCA
Execution Time: 8651.960 ms
(123 rows)
```
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