SP1 - Details for Query 226

Submitted Time: 2026/08/27 10:17:08
Duration: 0.3 s
Succeeded Jobs: 267 269

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 3 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 16.3 MiB number of output rows: 5 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 375.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 5 local merged chunks fetched: 0 shuffle write time: 1 ms remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 5 local bytes read: 359.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 1 remote merged chunks fetched: 0 remote blocks read: 0 data size: 248.0 B local merged bytes read: 0.0 B number of partitions: 10 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 359.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 34 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 25 ms peak memory: 256.0 KiB number of output rows: 5 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="ColumnarToRow number of output rows: 1,082 number of input batches: 1"]; } 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 23 ms metadata time: 0 ms size of files read: 11.9 KiB number of output rows: 1,082"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, 10), ENSURE_REQUIREMENTS, [plan_id=8623]

HashAggregate(keys=[COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038], functions=[partial_count(1)])

Project [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717 AS COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/ACTIVITE_USAGER_424908], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- AQEShuffleRead (7)
      +- ShuffleQueryStage (6), Statistics(sizeInBytes=248.0 B, rowCount=5)
         +- Exchange (5)
            +- * HashAggregate (4)
               +- * Project (3)
                  +- * ColumnarToRow (2)
                     +- Scan parquet  (1)
+- == Initial Plan ==
   CollectLimit (13)
   +- HashAggregate (12)
      +- Exchange (11)
         +- HashAggregate (10)
            +- Project (9)
               +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/ACTIVITE_USAGER_424908]
ReadSchema: struct<COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717]

(3) Project [codegen id : 1]
Output [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717 AS COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Input [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Keys [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#44263L]
Results [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]

(5) Exchange
Input [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Arguments: hashpartitioning(COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, 10), ENSURE_REQUIREMENTS, [plan_id=8623]

(6) ShuffleQueryStage
Output [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Keys [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#44150L]
Results [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038 AS COL_16E0EFCC_9F78_4F93_AEA1_D793DE9E2B50#44108, count(1)#44150L AS COL_8C4BA935_F51F_4496_A749_E21C64D38A52#44160L]

(9) Project
Output [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717 AS COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Input [1]: [COL_52508E21_DB82_4B97_95B2_2C90B4E7CB70#43717]

(10) HashAggregate
Input [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Keys [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#44263L]
Results [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]

(11) Exchange
Input [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Arguments: hashpartitioning(COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, 10), ENSURE_REQUIREMENTS, [plan_id=8604]

(12) HashAggregate
Input [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038, count#44264L]
Keys [1]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#44150L]
Results [2]: [COL_744CCE6E_D7E4_4E34_89CB_0D548D1A31B4#44038 AS COL_16E0EFCC_9F78_4F93_AEA1_D793DE9E2B50#44108, count(1)#44150L AS COL_8C4BA935_F51F_4496_A749_E21C64D38A52#44160L]

(13) CollectLimit
Input [2]: [COL_16E0EFCC_9F78_4F93_AEA1_D793DE9E2B50#44108, COL_8C4BA935_F51F_4496_A749_E21C64D38A52#44160L]
Arguments: 500000

(14) AdaptiveSparkPlan
Output [2]: [COL_16E0EFCC_9F78_4F93_AEA1_D793DE9E2B50#44108, COL_8C4BA935_F51F_4496_A749_E21C64D38A52#44160L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.optimizer.nestedPredicatePushdown.supportedFileSources	parquet,orc,geoparquet