SP1 - Details for Query 724

Submitted Time: 2026/10/06 13:26:13
Duration: 0.2 s
Succeeded Jobs: 1138 1140

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="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 3 [labelType="html" label="Exchange shuffle records written: 2 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 2218.0: task 3590)) 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: 2 local bytes read: 118.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 2 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 32.0 B (16.0 B, 16.0 B, 16.0 B (stage 2218.0: task 3590)) 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 total (min, med, max (stageId: taskId)) 118.0 B (59.0 B, 59.0 B, 59.0 B (stage 2218.0: task 3590))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n42 ms (9 ms, 33 ms, 33 ms (stage 2218.0: task 3589))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 42 ms (9 ms, 33 ms, 33 ms (stage 2218.0: task 3589)) number of output rows: 2"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Filter number of output rows: 5,524"]; 8 [labelType="html" label="ColumnarToRow number of output rows: 122,259 number of input batches: 31"]; } 9 [labelType="html" label="Scan parquet number of files read: 2 scan time total (min, med, max (stageId: taskId)) 7 ms (2 ms, 5 ms, 5 ms (stage 2218.0: task 3589)) metadata time: 0 ms size of files read: 4.7 MiB number of output rows: 122,259"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[], functions=[count(1)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=115146]

HashAggregate(keys=[], functions=[partial_count(1)])

Project

Filter (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167 <=> Optimisation)

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167] Batched: true, DataFilters: [(COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167 <=> Optimisation)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/06_COMPILATION__230983], PartitionFilters: [], PushedFilters: [EqualNullSafe(COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3,Optimisation)], ReadSchema: struct<COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- ShuffleQueryStage (7), Statistics(sizeInBytes=32.0 B, rowCount=2)
      +- Exchange (6)
         +- * HashAggregate (5)
            +- * Project (4)
               +- * Filter (3)
                  +- * ColumnarToRow (2)
                     +- Scan parquet  (1)
+- == Initial Plan ==
   HashAggregate (13)
   +- Exchange (12)
      +- HashAggregate (11)
         +- Project (10)
            +- Filter (9)
               +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/06_COMPILATION__230983]
PushedFilters: [EqualNullSafe(COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3,Optimisation)]
ReadSchema: struct<COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]

(3) Filter [codegen id : 1]
Input [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]
Condition : (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167 <=> Optimisation)

(4) Project [codegen id : 1]
Output: []
Input [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]

(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#160540L]
Results [1]: [count#160541L]

(6) Exchange
Input [1]: [count#160541L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=115146]

(7) ShuffleQueryStage
Output [1]: [count#160541L]
Arguments: 0

(8) HashAggregate [codegen id : 2]
Input [1]: [count#160541L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#160385L]
Results [2]: [count(1)#160385L AS COL_A5D3617C_208E_4E33_A939_216281C4B2F7#160387L, str_create(Nb d'ajout et suppression de forfait) AS COL_7F3D146F_2F83_4A05_992A_011E1D962EA3#160481]

(9) Filter
Input [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]
Condition : (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167 <=> Optimisation)

(10) Project
Output: []
Input [1]: [COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#160167]

(11) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#160540L]
Results [1]: [count#160541L]

(12) Exchange
Input [1]: [count#160541L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=115126]

(13) HashAggregate
Input [1]: [count#160541L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#160385L]
Results [2]: [count(1)#160385L AS COL_A5D3617C_208E_4E33_A939_216281C4B2F7#160387L, str_create(Nb d'ajout et suppression de forfait) AS COL_7F3D146F_2F83_4A05_992A_011E1D962EA3#160481]

(14) AdaptiveSparkPlan
Output [2]: [COL_A5D3617C_208E_4E33_A939_216281C4B2F7#160387L, COL_7F3D146F_2F83_4A05_992A_011E1D962EA3#160481]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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