SP1 - Details for Query 208

Submitted Time: 2026/07/27 08:59:22
Duration: 0.1 s
Succeeded Jobs: 268 272

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: 0 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 4 [labelType="html" label="Exchange shuffle records written: 1 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: 1 local bytes read: 59.0 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: 16.0 B local merged bytes read: 0.0 B number of partitions: 1 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 59.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 17 ms"; 6 [labelType="html" label="HashAggregate time in aggregation build: 17 ms number of output rows: 1"]; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="Filter number of output rows: 1,209"]; 9 [labelType="html" label="ColumnarToRow number of output rows: 1,745 number of input batches: 1"]; } 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 17 ms metadata time: 0 ms size of files read: 56.2 KiB number of output rows: 1,745"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

Project [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L, str_join(array(bigint_to_str(COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L), forfaits manquants), ) AS COL_75E6FC9F_C151_4137_86FF_DFB12FD99716#21095]

HashAggregate(keys=[], functions=[count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=7299]

HashAggregate(keys=[], functions=[partial_count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)])

Project [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775 AS COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871]

Filter (COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781 <=> V)

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775,COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781] Batched: true, DataFilters: [(COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781 <=> V)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/10_CONSOLIDATIO_223871], PartitionFilters: [], PushedFilters: [EqualNullSafe(COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8,V)], ReadSchema: struct<COL_0D6B804F_6E4E_4106_963C_2054075E1F48:string,COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8:s...

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * Project (9)
   +- * HashAggregate (8)
      +- ShuffleQueryStage (7), Statistics(sizeInBytes=16.0 B, rowCount=1)
         +- Exchange (6)
            +- * HashAggregate (5)
               +- * Project (4)
                  +- * Filter (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   Project (15)
   +- HashAggregate (14)
      +- Exchange (13)
         +- HashAggregate (12)
            +- Project (11)
               +- Filter (10)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/10_CONSOLIDATIO_223871]
PushedFilters: [EqualNullSafe(COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8,V)]
ReadSchema: struct<COL_0D6B804F_6E4E_4106_963C_2054075E1F48:string,COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8:string>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]

(3) Filter [codegen id : 1]
Input [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]
Condition : (COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781 <=> V)

(4) Project [codegen id : 1]
Output [1]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775 AS COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871]
Input [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]

(5) HashAggregate [codegen id : 1]
Input [1]: [COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871]
Keys: []
Functions [1]: [partial_count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)]
Aggregate Attributes [1]: [count#21186L]
Results [1]: [count#21187L]

(6) Exchange
Input [1]: [count#21187L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=7299]

(7) ShuffleQueryStage
Output [1]: [count#21187L]
Arguments: 0

(8) HashAggregate [codegen id : 2]
Input [1]: [count#21187L]
Keys: []
Functions [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)]
Aggregate Attributes [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)#20948L]
Results [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)#20948L AS COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L]

(9) Project [codegen id : 2]
Output [2]: [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L, str_join(array(bigint_to_str(COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L),  forfaits manquants), ) AS COL_75E6FC9F_C151_4137_86FF_DFB12FD99716#21095]
Input [1]: [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L]

(10) Filter
Input [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]
Condition : (COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781 <=> V)

(11) Project
Output [1]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775 AS COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871]
Input [2]: [COL_0D6B804F_6E4E_4106_963C_2054075E1F48#20775, COL_E653E27B_68E4_45D1_9CE1_5C6AB9E346D8#20781]

(12) HashAggregate
Input [1]: [COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871]
Keys: []
Functions [1]: [partial_count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)]
Aggregate Attributes [1]: [count#21186L]
Results [1]: [count#21187L]

(13) Exchange
Input [1]: [count#21187L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=7277]

(14) HashAggregate
Input [1]: [count#21187L]
Keys: []
Functions [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)]
Aggregate Attributes [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)#20948L]
Results [1]: [count(COL_C0B415BD_78FD_4BDA_8BF4_82EAB8A45E98#20871)#20948L AS COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L]

(15) Project
Output [2]: [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L, str_join(array(bigint_to_str(COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L),  forfaits manquants), ) AS COL_75E6FC9F_C151_4137_86FF_DFB12FD99716#21095]
Input [1]: [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L]

(16) AdaptiveSparkPlan
Output [2]: [COL_60B8AD38_C660_4D9A_945F_A3FAD109AFBE#21018L, COL_75E6FC9F_C151_4137_86FF_DFB12FD99716#21095]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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