SP1 - Details for Query 174

Submitted Time: 2026/02/19 17:39:26
Duration: 0.2 s
Succeeded Jobs: 262 263

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: 2 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: 6 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 417.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 6 local merged chunks fetched: 0 shuffle write time: 0 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: 6 local bytes read: 396.0 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: 192.0 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: 396.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 47 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 26 ms peak memory: 256.0 KiB number of output rows: 6 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: 5,068 number of input batches: 2"]; } 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 22 ms metadata time: 0 ms size of files read: 180.7 KiB number of output rows: 5,068"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942], functions=[sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, 10), ENSURE_REQUIREMENTS, [plan_id=6628]

HashAggregate(keys=[COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942], functions=[partial_sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)])

Project [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746 AS COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763 AS COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746,COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/SALES_AND_MORE__185886], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_026AE442_EADA_47A9_ABC9_6C891AE96105:string,COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED:d...

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- AQEShuffleRead (7)
      +- ShuffleQueryStage (6), Statistics(sizeInBytes=192.0 B, rowCount=6)
         +- 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 [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/SALES_AND_MORE__185886]
ReadSchema: struct<COL_026AE442_EADA_47A9_ABC9_6C891AE96105:string,COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED:double>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763]

(3) Project [codegen id : 1]
Output [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746 AS COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763 AS COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959]
Input [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763]

(4) HashAggregate [codegen id : 1]
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959]
Keys [1]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942]
Functions [1]: [partial_sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)]
Aggregate Attributes [1]: [sum#59086]
Results [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]

(5) Exchange
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Arguments: hashpartitioning(COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, 10), ENSURE_REQUIREMENTS, [plan_id=6628]

(6) ShuffleQueryStage
Output [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Keys [1]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942]
Functions [1]: [sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)]
Aggregate Attributes [1]: [sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)#59058]
Results [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942 AS COL_7BD0D700_58D8_4A2E_9133_97B4350F08B6#59082, round(sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)#59058, 2) AS COL_D5F227A4_24ED_474F_97AD_432A4CB583A2#59083]

(9) Project
Output [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746 AS COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763 AS COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959]
Input [2]: [COL_026AE442_EADA_47A9_ABC9_6C891AE96105#58746, COL_0FB9D6D0_CAD5_47A2_A8BD_567C745434ED#58763]

(10) HashAggregate
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959]
Keys [1]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942]
Functions [1]: [partial_sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)]
Aggregate Attributes [1]: [sum#59086]
Results [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]

(11) Exchange
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Arguments: hashpartitioning(COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, 10), ENSURE_REQUIREMENTS, [plan_id=6609]

(12) HashAggregate
Input [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942, sum#59087]
Keys [1]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942]
Functions [1]: [sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)]
Aggregate Attributes [1]: [sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)#59058]
Results [2]: [COL_08D44FCA_0F3B_45F2_B1F4_DA0FB6BFE8BD#58942 AS COL_7BD0D700_58D8_4A2E_9133_97B4350F08B6#59082, round(sum(COL_E2171307_65F2_4C42_836A_4C0311DE9237#58959)#59058, 2) AS COL_D5F227A4_24ED_474F_97AD_432A4CB583A2#59083]

(13) CollectLimit
Input [2]: [COL_7BD0D700_58D8_4A2E_9133_97B4350F08B6#59082, COL_D5F227A4_24ED_474F_97AD_432A4CB583A2#59083]
Arguments: 500000

(14) AdaptiveSparkPlan
Output [2]: [COL_7BD0D700_58D8_4A2E_9133_97B4350F08B6#59082, COL_D5F227A4_24ED_474F_97AD_432A4CB583A2#59083]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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