blob: a03c7d7449e7a6f94d6888519225d25ae09a693c [file] [log] [blame]
# TPCDS-Q50
# start query 50 in stream 0 using template query50.tpl using seed 1521398881
select
s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
(sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
(sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
(sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days"
,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days"
from
store_sales
,store_returns
,store
,date_dim d1
,date_dim d2
where
d2.d_year = 1999
and d2.d_moy = 9
and ss_ticket_number = sr_ticket_number
and ss_item_sk = sr_item_sk
and ss_sold_date_sk = d1.d_date_sk
and sr_returned_date_sk = d2.d_date_sk
and ss_customer_sk = sr_customer_sk
and ss_store_sk = s_store_sk
group by
s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
order by s_store_name
,s_company_id
,s_street_number
,s_street_name
,s_street_type
,s_suite_number
,s_city
,s_county
,s_state
,s_zip
limit 100;
# end query 50 in stream 0 using template query50.tpl
---- PLAN
Max Per-Host Resource Reservation: Memory=122.75MB Threads=1
Per-Host Resource Estimates: Memory=40.78GB
F00:PLAN FRAGMENT [UNPARTITIONED] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=40.78GB mem-reservation=122.75MB thread-reservation=1 runtime-filters-memory=36.00MB
| max-parallelism=1 segment-costs=[9817718693, 7914, 1500]
PLAN-ROOT SINK
| output exprs: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip, sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 ELSE 0 END)
| mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0 cost=1500
|
10:TOP-N [LIMIT=100]
| order by: s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
| mem-estimate=20.47KB mem-reservation=0B thread-reservation=0
| tuple-ids=6 row-size=210B cardinality=100 cost=7914
| in pipelines: 10(GETNEXT), 09(OPEN)
|
13:TUPLE CACHE
| cache key: 4e006e223e242d59f6d022cb0bc98963
| input scan node ids: 0,1,4,2,3
| estimated serialized size: 281.58KB
| estimated serialized size per node: 28.16KB
| cumulative processing cost: 9817718693
| cache read processing cost: 179
| cache write processing cost: 778
| mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=1.35K cost=0
| in pipelines: 09(GETNEXT)
|
09:AGGREGATE [FINALIZE]
| output: sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(30 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(30 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(60 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(60 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(90 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(90 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT))
| group by: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
| mem-estimate=644.46MB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=1.35K cost=534861705
| in pipelines: 09(GETNEXT), 00(OPEN)
|
08:HASH JOIN [INNER JOIN]
| hash predicates: ss_sold_date_sk = d1.d_date_sk
| fk/pk conjuncts: ss_sold_date_sk = d1.d_date_sk
| runtime filters: RF000[bloom] <- d1.d_date_sk
| mem-estimate=2.88MB mem-reservation=2.88MB spill-buffer=128.00KB thread-reservation=0
| tuple-ids=0,1,4,2,3 row-size=234B cardinality=323.35M cost=141603967
| in pipelines: 00(GETNEXT), 03(OPEN)
|
|--03:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d1]
| HDFS partitions=1/1 files=1 size=2.17MB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=3 row-size=4B cardinality=73.05K cost=4207
| in pipelines: 03(GETNEXT)
|
07:HASH JOIN [INNER JOIN]
| hash predicates: ss_store_sk = s_store_sk
| fk/pk conjuncts: ss_store_sk = s_store_sk
| runtime filters: RF002[bloom] <- s_store_sk, RF003[min_max] <- s_store_sk
| mem-estimate=1.94MB mem-reservation=1.94MB spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4,2 row-size=230B cardinality=323.35M cost=141532268
| in pipelines: 00(GETNEXT), 02(OPEN)
|
|--12:TUPLE CACHE
| | cache key: 1323aa5a12f8a6aa59c763a21ec6413b
| | input scan node ids: 2
| | estimated serialized size: 234.12KB
| | estimated serialized size per node: 234.12KB
| | cumulative processing cost: 1274
| | cache read processing cost: 179
| | cache write processing cost: 647
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=2 row-size=174B cardinality=1.35K cost=0
| | in pipelines: 02(GETNEXT)
| |
| 02:SCAN HDFS [tpcds_partitioned_parquet_snap.store]
| HDFS partitions=1/1 files=1 size=119.76KB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| stored statistics:
| table: rows=1.35K size=119.76KB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=1.35K
| mem-estimate=16.00MB mem-reservation=88.00KB thread-reservation=0
| tuple-ids=2 row-size=174B cardinality=1.35K cost=1274
| in pipelines: 02(GETNEXT)
|
06:HASH JOIN [INNER JOIN]
| hash predicates: sr_returned_date_sk = d2.d_date_sk
| fk/pk conjuncts: sr_returned_date_sk = d2.d_date_sk
| runtime filters: RF004[bloom] <- d2.d_date_sk
| mem-estimate=1.94MB mem-reservation=1.94MB spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4 row-size=56B cardinality=323.35M cost=1597582491
| in pipelines: 00(GETNEXT), 04(OPEN)
|
|--11:TUPLE CACHE
| | cache key: d11fd35c7b957f2a770b8c26800ce562
| | input scan node ids: 4
| | estimated serialized size: 1.69KB
| | estimated serialized size per node: 1.69KB
| | cumulative processing cost: 16728
| | cache read processing cost: 14
| | cache write processing cost: 4
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=4 row-size=12B cardinality=108 cost=0
| | in pipelines: 04(GETNEXT)
| |
| 04:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d2]
| HDFS partitions=1/1 files=1 size=2.17MB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| parquet statistics predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| parquet dictionary predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=4 row-size=12B cardinality=108 cost=16728
| in pipelines: 04(GETNEXT)
|
05:HASH JOIN [INNER JOIN]
| hash predicates: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| fk/pk conjuncts: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| runtime filters: RF006[bloom] <- sr_customer_sk, RF007[bloom] <- sr_item_sk, RF008[bloom] <- sr_ticket_number, RF009[min_max] <- sr_customer_sk, RF010[min_max] <- sr_item_sk, RF011[min_max] <- sr_ticket_number
| mem-estimate=40.09GB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0
| tuple-ids=0,1 row-size=44B cardinality=6.00G cost=4167325725
| in pipelines: 00(GETNEXT), 01(OPEN)
|
|--01:SCAN HDFS [tpcds_partitioned_parquet_snap.store_returns]
| HDFS partitions=2004/2004 files=2004 size=48.14GB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| runtime filters: RF004[bloom] -> sr_returned_date_sk
| stored statistics:
| table: rows=863.99M size=48.14GB
| partitions: 2004/2004 rows=863.99M
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=30.09M
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=1 row-size=20B cardinality=863.99M cost=248828726
| in pipelines: 01(GETNEXT)
|
00:SCAN HDFS [tpcds_partitioned_parquet_snap.store_sales]
HDFS partitions=1824/1824 files=1824 size=389.90GB
deterministic scan range assignment: true
schedule scan ranges oldest to newest: true
runtime filters: RF003[min_max] -> ss_store_sk, RF009[min_max] -> ss_customer_sk, RF010[min_max] -> ss_item_sk, RF011[min_max] -> ss_ticket_number, RF000[bloom] -> ss_sold_date_sk, RF002[bloom] -> ss_store_sk, RF006[bloom] -> ss_customer_sk, RF007[bloom] -> ss_item_sk, RF008[bloom] -> ss_ticket_number
stored statistics:
table: rows=8.64G size=389.90GB
partitions: 1824/1824 rows=8.64G
columns: all
extrapolated-rows=disabled max-scan-range-rows=390.22M
mem-estimate=16.00MB mem-reservation=8.00MB thread-reservation=0
tuple-ids=0 row-size=24B cardinality=8.64G cost=2985961602
in pipelines: 00(GETNEXT)
---- DISTRIBUTEDPLAN
Max Per-Host Resource Reservation: Memory=697.59MB Threads=42
Per-Host Resource Estimates: Memory=7.49GB
F07:PLAN FRAGMENT [UNPARTITIONED] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=4.21MB mem-reservation=4.00MB thread-reservation=1
| max-parallelism=1 segment-costs=[1567] cpu-comparison-result=203 [max(1 (self) vs 203 (sum children))]
PLAN-ROOT SINK
| output exprs: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip, sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 ELSE 0 END)
| mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0 cost=1500
|
18:MERGING-EXCHANGE [UNPARTITIONED]
| order by: s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
| limit: 100
| mem-estimate=210.63KB mem-reservation=0B thread-reservation=0
| tuple-ids=6 row-size=210B cardinality=100 cost=67
| in pipelines: 10(GETNEXT)
|
F06:PLAN FRAGMENT [HASH(s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip)] hosts=10 instances=10 (adjusted from 120)
Per-Instance Resources: mem-estimate=23.67MB mem-reservation=4.75MB thread-reservation=1
max-parallelism=10 segment-costs=[448257, 7914, 580] cpu-comparison-result=203 [max(10 (self) vs 203 (sum children))]
10:TOP-N [LIMIT=100]
| order by: s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
| mem-estimate=20.47KB mem-reservation=0B thread-reservation=0
| tuple-ids=6 row-size=210B cardinality=100 cost=7914
| in pipelines: 10(GETNEXT), 17(OPEN)
|
17:AGGREGATE [FINALIZE]
| output: sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 ELSE 0 END)
| group by: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
| mem-estimate=10.00MB mem-reservation=4.75MB spill-buffer=256.00KB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=1.35K cost=274077
| in pipelines: 17(GETNEXT), 00(OPEN)
|
16:EXCHANGE [HASH(s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip)]
| mem-estimate=13.67MB mem-reservation=0B thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=162.00K cost=174180
| in pipelines: 00(GETNEXT)
|
F02:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=50 (adjusted from 120)
Per-Instance Resources: mem-estimate=534.63MB mem-reservation=34.00MB thread-reservation=1
max-parallelism=770 segment-costs=[7633316166, 2270017] cpu-comparison-result=203 [max(170 (self) vs 203 (sum children))]
09:AGGREGATE [STREAMING]
| output: sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(30 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(30 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(60 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(60 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(90 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(90 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT))
| group by: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
| mem-estimate=513.00MB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=162.00K cost=535589209
| in pipelines: 00(GETNEXT)
|
08:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=00
| hash predicates: ss_sold_date_sk = d1.d_date_sk
| fk/pk conjuncts: ss_sold_date_sk = d1.d_date_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=128.00KB thread-reservation=0
| tuple-ids=0,1,4,2,3 row-size=234B cardinality=323.35M cost=141530918
| in pipelines: 00(GETNEXT), 03(OPEN)
|
|--F08:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=15.66MB mem-reservation=15.38MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[170129]
| JOIN BUILD
| | join-table-id=00 plan-id=01 cohort-id=01
| | build expressions: d1.d_date_sk
| | runtime filters: RF000[bloom] <- d1.d_date_sk
| | mem-estimate=14.38MB mem-reservation=14.38MB spill-buffer=128.00KB thread-reservation=0 cost=73049
| |
| 15:EXCHANGE [BROADCAST]
| | mem-estimate=293.35KB mem-reservation=0B thread-reservation=0
| | tuple-ids=3 row-size=4B cardinality=73.05K cost=97080
| | in pipelines: 03(GETNEXT)
| |
| F05:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=16.03MB mem-reservation=512.00KB thread-reservation=1
| max-parallelism=1 segment-costs=[6573]
| 03:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d1, RANDOM]
| HDFS partitions=1/1 files=1 size=2.17MB
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=3 row-size=4B cardinality=73.05K cost=4207
| in pipelines: 03(GETNEXT)
|
07:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=01
| hash predicates: ss_store_sk = s_store_sk
| fk/pk conjuncts: ss_store_sk = s_store_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4,2 row-size=230B cardinality=323.35M cost=141530918
| in pipelines: 00(GETNEXT), 02(OPEN)
|
|--F09:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=11.08MB mem-reservation=10.69MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[3140]
| JOIN BUILD
| | join-table-id=01 plan-id=02 cohort-id=01
| | build expressions: s_store_sk
| | runtime filters: RF002[bloom] <- s_store_sk, RF003[min_max] <- s_store_sk
| | mem-estimate=9.69MB mem-reservation=9.69MB spill-buffer=64.00KB thread-reservation=0 cost=1350
| |
| 14:EXCHANGE [BROADCAST]
| | mem-estimate=406.43KB mem-reservation=0B thread-reservation=0
| | tuple-ids=2 row-size=174B cardinality=1.35K cost=1790
| | in pipelines: 02(GETNEXT)
| |
| F04:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=20.69MB mem-reservation=4.09MB thread-reservation=1
| max-parallelism=1 segment-costs=[1935]
| 20:TUPLE CACHE
| | cache key: 1323aa5a12f8a6aa59c763a21ec6413b
| | input scan node ids: 2
| | estimated serialized size: 234.12KB
| | estimated serialized size per node: 234.12KB
| | cumulative processing cost: 1274
| | cache read processing cost: 179
| | cache write processing cost: 647
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=2 row-size=174B cardinality=1.35K cost=0
| | in pipelines: 02(GETNEXT)
| |
| 02:SCAN HDFS [tpcds_partitioned_parquet_snap.store, RANDOM]
| HDFS partitions=1/1 files=1 size=119.76KB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| stored statistics:
| table: rows=1.35K size=119.76KB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=1.35K
| mem-estimate=16.00MB mem-reservation=88.00KB thread-reservation=0
| tuple-ids=2 row-size=174B cardinality=1.35K cost=1274
| in pipelines: 02(GETNEXT)
|
06:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=02
| hash predicates: sr_returned_date_sk = d2.d_date_sk
| fk/pk conjuncts: sr_returned_date_sk = d2.d_date_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4 row-size=56B cardinality=323.35M cost=1597582383
| in pipelines: 00(GETNEXT), 04(OPEN)
|
|--F10:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=10.70MB mem-reservation=10.69MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[248]
| JOIN BUILD
| | join-table-id=02 plan-id=03 cohort-id=01
| | build expressions: d2.d_date_sk
| | runtime filters: RF004[bloom] <- d2.d_date_sk
| | mem-estimate=9.69MB mem-reservation=9.69MB spill-buffer=64.00KB thread-reservation=0 cost=108
| |
| 13:EXCHANGE [BROADCAST]
| | mem-estimate=16.00KB mem-reservation=0B thread-reservation=0
| | tuple-ids=4 row-size=12B cardinality=108 cost=140
| | in pipelines: 04(GETNEXT)
| |
| F03:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=20.06MB mem-reservation=4.50MB thread-reservation=1
| max-parallelism=1 segment-costs=[16733]
| 19:TUPLE CACHE
| | cache key: d11fd35c7b957f2a770b8c26800ce562
| | input scan node ids: 4
| | estimated serialized size: 1.69KB
| | estimated serialized size per node: 1.69KB
| | cumulative processing cost: 16728
| | cache read processing cost: 14
| | cache write processing cost: 4
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=4 row-size=12B cardinality=108 cost=0
| | in pipelines: 04(GETNEXT)
| |
| 04:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d2, RANDOM]
| HDFS partitions=1/1 files=1 size=2.17MB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| parquet statistics predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| parquet dictionary predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=4 row-size=12B cardinality=108 cost=16728
| in pipelines: 04(GETNEXT)
|
05:HASH JOIN [INNER JOIN, PARTITIONED]
| hash-table-id=03
| hash predicates: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| fk/pk conjuncts: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| mem-estimate=0B mem-reservation=0B spill-buffer=2.00MB thread-reservation=0
| tuple-ids=0,1 row-size=44B cardinality=6.00G cost=3303337093
| in pipelines: 00(GETNEXT), 01(OPEN)
|
|--F11:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=50 (adjusted from 120)
| | Per-Instance Resources: mem-estimate=866.92MB mem-reservation=67.00MB thread-reservation=1 runtime-filters-memory=33.00MB
| | max-parallelism=770 segment-costs=[1039464723]
| JOIN BUILD
| | join-table-id=03 plan-id=04 cohort-id=01
| | build expressions: sr_customer_sk, sr_item_sk, sr_ticket_number
| | runtime filters: RF006[bloom] <- sr_customer_sk, RF007[bloom] <- sr_item_sk, RF008[bloom] <- sr_ticket_number, RF009[min_max] <- sr_customer_sk, RF010[min_max] <- sr_item_sk, RF011[min_max] <- sr_ticket_number
| | mem-estimate=821.11MB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0 cost=863988632
| |
| 12:EXCHANGE [HASH(sr_customer_sk,sr_item_sk,sr_ticket_number)]
| | mem-estimate=12.81MB mem-reservation=0B thread-reservation=0
| | tuple-ids=1 row-size=20B cardinality=863.99M cost=175476091
| | in pipelines: 01(GETNEXT)
| |
| F01:PLAN FRAGMENT [RANDOM] hosts=10 instances=120
| Per-Host Shared Resources: mem-estimate=1.00MB mem-reservation=1.00MB thread-reservation=0 runtime-filters-memory=1.00MB
| Per-Instance Resources: mem-estimate=20.69MB mem-reservation=512.00KB thread-reservation=1
| max-parallelism=190 segment-costs=[1806773027]
| 01:SCAN HDFS [tpcds_partitioned_parquet_snap.store_returns, RANDOM]
| HDFS partitions=2004/2004 files=2004 size=48.14GB
| runtime filters: RF004[bloom] -> sr_returned_date_sk
| stored statistics:
| table: rows=863.99M size=48.14GB
| partitions: 2004/2004 rows=863.99M
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=30.09M
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=1 row-size=20B cardinality=863.99M cost=248828726
| in pipelines: 01(GETNEXT)
|
11:EXCHANGE [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)]
| mem-estimate=13.28MB mem-reservation=0B thread-reservation=0
| tuple-ids=0 row-size=24B cardinality=8.64G cost=1913745645
| in pipelines: 00(GETNEXT)
|
F00:PLAN FRAGMENT [RANDOM] hosts=10 instances=120
Per-Host Shared Resources: mem-estimate=35.00MB mem-reservation=35.00MB thread-reservation=0 runtime-filters-memory=35.00MB
Per-Instance Resources: mem-estimate=21.47MB mem-reservation=8.00MB thread-reservation=1
max-parallelism=1824 segment-costs=[20791140047]
00:SCAN HDFS [tpcds_partitioned_parquet_snap.store_sales, RANDOM]
HDFS partitions=1824/1824 files=1824 size=389.90GB
runtime filters: RF003[min_max] -> ss_store_sk, RF009[min_max] -> ss_customer_sk, RF010[min_max] -> ss_item_sk, RF011[min_max] -> ss_ticket_number, RF000[bloom] -> ss_sold_date_sk, RF002[bloom] -> ss_store_sk, RF006[bloom] -> ss_customer_sk, RF007[bloom] -> ss_item_sk, RF008[bloom] -> ss_ticket_number
stored statistics:
table: rows=8.64G size=389.90GB
partitions: 1824/1824 rows=8.64G
columns: all
extrapolated-rows=disabled max-scan-range-rows=390.22M
mem-estimate=16.00MB mem-reservation=8.00MB thread-reservation=0
tuple-ids=0 row-size=24B cardinality=8.64G cost=2985961602
in pipelines: 00(GETNEXT)
---- PARALLELPLANS
Max Per-Host Resource Reservation: Memory=697.59MB Threads=42
Per-Host Resource Estimates: Memory=7.49GB
F07:PLAN FRAGMENT [UNPARTITIONED] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=4.21MB mem-reservation=4.00MB thread-reservation=1
| max-parallelism=1 segment-costs=[1567] cpu-comparison-result=203 [max(1 (self) vs 203 (sum children))]
PLAN-ROOT SINK
| output exprs: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip, sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 ELSE 0 END), sum(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 ELSE 0 END)
| mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0 cost=1500
|
18:MERGING-EXCHANGE [UNPARTITIONED]
| order by: s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
| limit: 100
| mem-estimate=210.63KB mem-reservation=0B thread-reservation=0
| tuple-ids=6 row-size=210B cardinality=100 cost=67
| in pipelines: 10(GETNEXT)
|
F06:PLAN FRAGMENT [HASH(s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip)] hosts=10 instances=10 (adjusted from 120)
Per-Instance Resources: mem-estimate=23.67MB mem-reservation=4.75MB thread-reservation=1
max-parallelism=10 segment-costs=[448257, 7914, 580] cpu-comparison-result=203 [max(10 (self) vs 203 (sum children))]
10:TOP-N [LIMIT=100]
| order by: s_store_name ASC, s_company_id ASC, s_street_number ASC, s_street_name ASC, s_street_type ASC, s_suite_number ASC, s_city ASC, s_county ASC, s_state ASC, s_zip ASC
| mem-estimate=20.47KB mem-reservation=0B thread-reservation=0
| tuple-ids=6 row-size=210B cardinality=100 cost=7914
| in pipelines: 10(GETNEXT), 17(OPEN)
|
17:AGGREGATE [FINALIZE]
| output: sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 30) AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 60) AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 90) AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1 ELSE 0 END), sum:merge(CASE WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1 ELSE 0 END)
| group by: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
| mem-estimate=10.00MB mem-reservation=4.75MB spill-buffer=256.00KB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=1.35K cost=274077
| in pipelines: 17(GETNEXT), 00(OPEN)
|
16:EXCHANGE [HASH(s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip)]
| mem-estimate=13.67MB mem-reservation=0B thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=162.00K cost=174180
| in pipelines: 00(GETNEXT)
|
F02:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=50 (adjusted from 120)
Per-Instance Resources: mem-estimate=534.63MB mem-reservation=34.00MB thread-reservation=1
max-parallelism=770 segment-costs=[7633316166, 2270017] cpu-comparison-result=203 [max(170 (self) vs 203 (sum children))]
09:AGGREGATE [STREAMING]
| output: sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(30 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(30 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(60 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(60 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(90 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(90 AS BIGINT)) AND (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) <= CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT)), sum(CAST(CASE WHEN (CAST(sr_returned_date_sk AS BIGINT) - CAST(ss_sold_date_sk AS BIGINT) > CAST(120 AS BIGINT)) THEN CAST(1 AS TINYINT) ELSE CAST(0 AS TINYINT) END AS BIGINT))
| group by: s_store_name, s_company_id, s_street_number, s_street_name, s_street_type, s_suite_number, s_city, s_county, s_state, s_zip
| mem-estimate=513.00MB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0
| tuple-ids=5 row-size=210B cardinality=162.00K cost=535589209
| in pipelines: 00(GETNEXT)
|
08:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=00
| hash predicates: ss_sold_date_sk = d1.d_date_sk
| fk/pk conjuncts: ss_sold_date_sk = d1.d_date_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=128.00KB thread-reservation=0
| tuple-ids=0,1,4,2,3 row-size=234B cardinality=323.35M cost=141530918
| in pipelines: 00(GETNEXT), 03(OPEN)
|
|--F08:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=15.66MB mem-reservation=15.38MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[170129]
| JOIN BUILD
| | join-table-id=00 plan-id=01 cohort-id=01
| | build expressions: d1.d_date_sk
| | runtime filters: RF000[bloom] <- d1.d_date_sk
| | mem-estimate=14.38MB mem-reservation=14.38MB spill-buffer=128.00KB thread-reservation=0 cost=73049
| |
| 15:EXCHANGE [BROADCAST]
| | mem-estimate=293.35KB mem-reservation=0B thread-reservation=0
| | tuple-ids=3 row-size=4B cardinality=73.05K cost=97080
| | in pipelines: 03(GETNEXT)
| |
| F05:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=16.03MB mem-reservation=512.00KB thread-reservation=1
| max-parallelism=1 segment-costs=[6573]
| 03:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d1, RANDOM]
| HDFS partitions=1/1 files=1 size=2.17MB
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=3 row-size=4B cardinality=73.05K cost=4207
| in pipelines: 03(GETNEXT)
|
07:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=01
| hash predicates: ss_store_sk = s_store_sk
| fk/pk conjuncts: ss_store_sk = s_store_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4,2 row-size=230B cardinality=323.35M cost=141530918
| in pipelines: 00(GETNEXT), 02(OPEN)
|
|--F09:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=11.08MB mem-reservation=10.69MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[3140]
| JOIN BUILD
| | join-table-id=01 plan-id=02 cohort-id=01
| | build expressions: s_store_sk
| | runtime filters: RF002[bloom] <- s_store_sk, RF003[min_max] <- s_store_sk
| | mem-estimate=9.69MB mem-reservation=9.69MB spill-buffer=64.00KB thread-reservation=0 cost=1350
| |
| 14:EXCHANGE [BROADCAST]
| | mem-estimate=406.43KB mem-reservation=0B thread-reservation=0
| | tuple-ids=2 row-size=174B cardinality=1.35K cost=1790
| | in pipelines: 02(GETNEXT)
| |
| F04:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=20.69MB mem-reservation=4.09MB thread-reservation=1
| max-parallelism=1 segment-costs=[1935]
| 20:TUPLE CACHE
| | cache key: 1323aa5a12f8a6aa59c763a21ec6413b
| | input scan node ids: 2
| | estimated serialized size: 234.12KB
| | estimated serialized size per node: 234.12KB
| | cumulative processing cost: 1274
| | cache read processing cost: 179
| | cache write processing cost: 647
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=2 row-size=174B cardinality=1.35K cost=0
| | in pipelines: 02(GETNEXT)
| |
| 02:SCAN HDFS [tpcds_partitioned_parquet_snap.store, RANDOM]
| HDFS partitions=1/1 files=1 size=119.76KB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| stored statistics:
| table: rows=1.35K size=119.76KB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=1.35K
| mem-estimate=16.00MB mem-reservation=88.00KB thread-reservation=0
| tuple-ids=2 row-size=174B cardinality=1.35K cost=1274
| in pipelines: 02(GETNEXT)
|
06:HASH JOIN [INNER JOIN, BROADCAST]
| hash-table-id=02
| hash predicates: sr_returned_date_sk = d2.d_date_sk
| fk/pk conjuncts: sr_returned_date_sk = d2.d_date_sk
| mem-estimate=0B mem-reservation=0B spill-buffer=64.00KB thread-reservation=0
| tuple-ids=0,1,4 row-size=56B cardinality=323.35M cost=1597582383
| in pipelines: 00(GETNEXT), 04(OPEN)
|
|--F10:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=10
| | Per-Instance Resources: mem-estimate=10.70MB mem-reservation=10.69MB thread-reservation=1 runtime-filters-memory=1.00MB
| | max-parallelism=10 segment-costs=[248]
| JOIN BUILD
| | join-table-id=02 plan-id=03 cohort-id=01
| | build expressions: d2.d_date_sk
| | runtime filters: RF004[bloom] <- d2.d_date_sk
| | mem-estimate=9.69MB mem-reservation=9.69MB spill-buffer=64.00KB thread-reservation=0 cost=108
| |
| 13:EXCHANGE [BROADCAST]
| | mem-estimate=16.00KB mem-reservation=0B thread-reservation=0
| | tuple-ids=4 row-size=12B cardinality=108 cost=140
| | in pipelines: 04(GETNEXT)
| |
| F03:PLAN FRAGMENT [RANDOM] hosts=1 instances=1
| Per-Instance Resources: mem-estimate=20.06MB mem-reservation=4.50MB thread-reservation=1
| max-parallelism=1 segment-costs=[16733]
| 19:TUPLE CACHE
| | cache key: d11fd35c7b957f2a770b8c26800ce562
| | input scan node ids: 4
| | estimated serialized size: 1.69KB
| | estimated serialized size per node: 1.69KB
| | cumulative processing cost: 16728
| | cache read processing cost: 14
| | cache write processing cost: 4
| | mem-estimate=4.00MB mem-reservation=4.00MB spill-buffer=2.00MB thread-reservation=0
| | tuple-ids=4 row-size=12B cardinality=108 cost=0
| | in pipelines: 04(GETNEXT)
| |
| 04:SCAN HDFS [tpcds_partitioned_parquet_snap.date_dim d2, RANDOM]
| HDFS partitions=1/1 files=1 size=2.17MB
| deterministic scan range assignment: true
| schedule scan ranges oldest to newest: true
| predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| stored statistics:
| table: rows=73.05K size=2.17MB
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=73.05K
| parquet statistics predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| parquet dictionary predicates: d2.d_year = CAST(1999 AS INT), d2.d_moy = CAST(9 AS INT)
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=4 row-size=12B cardinality=108 cost=16728
| in pipelines: 04(GETNEXT)
|
05:HASH JOIN [INNER JOIN, PARTITIONED]
| hash-table-id=03
| hash predicates: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| fk/pk conjuncts: ss_customer_sk = sr_customer_sk, ss_item_sk = sr_item_sk, ss_ticket_number = sr_ticket_number
| mem-estimate=0B mem-reservation=0B spill-buffer=2.00MB thread-reservation=0
| tuple-ids=0,1 row-size=44B cardinality=6.00G cost=3303337093
| in pipelines: 00(GETNEXT), 01(OPEN)
|
|--F11:PLAN FRAGMENT [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)] hosts=10 instances=50 (adjusted from 120)
| | Per-Instance Resources: mem-estimate=866.92MB mem-reservation=67.00MB thread-reservation=1 runtime-filters-memory=33.00MB
| | max-parallelism=770 segment-costs=[1039464723]
| JOIN BUILD
| | join-table-id=03 plan-id=04 cohort-id=01
| | build expressions: sr_customer_sk, sr_item_sk, sr_ticket_number
| | runtime filters: RF006[bloom] <- sr_customer_sk, RF007[bloom] <- sr_item_sk, RF008[bloom] <- sr_ticket_number, RF009[min_max] <- sr_customer_sk, RF010[min_max] <- sr_item_sk, RF011[min_max] <- sr_ticket_number
| | mem-estimate=821.11MB mem-reservation=34.00MB spill-buffer=2.00MB thread-reservation=0 cost=863988632
| |
| 12:EXCHANGE [HASH(sr_customer_sk,sr_item_sk,sr_ticket_number)]
| | mem-estimate=12.81MB mem-reservation=0B thread-reservation=0
| | tuple-ids=1 row-size=20B cardinality=863.99M cost=175476091
| | in pipelines: 01(GETNEXT)
| |
| F01:PLAN FRAGMENT [RANDOM] hosts=10 instances=120
| Per-Host Shared Resources: mem-estimate=1.00MB mem-reservation=1.00MB thread-reservation=0 runtime-filters-memory=1.00MB
| Per-Instance Resources: mem-estimate=20.69MB mem-reservation=512.00KB thread-reservation=1
| max-parallelism=190 segment-costs=[1806773027]
| 01:SCAN HDFS [tpcds_partitioned_parquet_snap.store_returns, RANDOM]
| HDFS partitions=2004/2004 files=2004 size=48.14GB
| runtime filters: RF004[bloom] -> sr_returned_date_sk
| stored statistics:
| table: rows=863.99M size=48.14GB
| partitions: 2004/2004 rows=863.99M
| columns: all
| extrapolated-rows=disabled max-scan-range-rows=30.09M
| mem-estimate=16.00MB mem-reservation=512.00KB thread-reservation=0
| tuple-ids=1 row-size=20B cardinality=863.99M cost=248828726
| in pipelines: 01(GETNEXT)
|
11:EXCHANGE [HASH(ss_customer_sk,ss_item_sk,ss_ticket_number)]
| mem-estimate=13.28MB mem-reservation=0B thread-reservation=0
| tuple-ids=0 row-size=24B cardinality=8.64G cost=1913745645
| in pipelines: 00(GETNEXT)
|
F00:PLAN FRAGMENT [RANDOM] hosts=10 instances=120
Per-Host Shared Resources: mem-estimate=35.00MB mem-reservation=35.00MB thread-reservation=0 runtime-filters-memory=35.00MB
Per-Instance Resources: mem-estimate=21.47MB mem-reservation=8.00MB thread-reservation=1
max-parallelism=1824 segment-costs=[20791140047]
00:SCAN HDFS [tpcds_partitioned_parquet_snap.store_sales, RANDOM]
HDFS partitions=1824/1824 files=1824 size=389.90GB
runtime filters: RF003[min_max] -> ss_store_sk, RF009[min_max] -> ss_customer_sk, RF010[min_max] -> ss_item_sk, RF011[min_max] -> ss_ticket_number, RF000[bloom] -> ss_sold_date_sk, RF002[bloom] -> ss_store_sk, RF006[bloom] -> ss_customer_sk, RF007[bloom] -> ss_item_sk, RF008[bloom] -> ss_ticket_number
stored statistics:
table: rows=8.64G size=389.90GB
partitions: 1824/1824 rows=8.64G
columns: all
extrapolated-rows=disabled max-scan-range-rows=390.22M
mem-estimate=16.00MB mem-reservation=8.00MB thread-reservation=0
tuple-ids=0 row-size=24B cardinality=8.64G cost=2985961602
in pipelines: 00(GETNEXT)
====