SP1 - Details for Query 7052

Submitted Time: 2026/10/27 20:23:35
Duration: 95 ms
Succeeded Jobs: 10559 10560

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: 6 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 2 ms (0 ms, 0 ms, 0 ms (stage 21085.0: task 27326)) 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: 354.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 6 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 96.0 B (16.0 B, 16.0 B, 16.0 B (stage 21085.0: task 27328)) 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)) 354.0 B (59.0 B, 59.0 B, 59.0 B (stage 21085.0: task 27328))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n52 ms (6 ms, 9 ms, 12 ms (stage 21085.0: task 27324))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 52 ms (6 ms, 9 ms, 12 ms (stage 21085.0: task 27324)) number of output rows: 6"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Filter number of output rows: 1,189"]; 8 [labelType="html" label="ColumnarToRow number of output rows: 1,201 number of input batches: 12"]; } 9 [labelType="html" label="Scan parquet number of files read: 12 scan time total (min, med, max (stageId: taskId)) 45 ms (5 ms, 8 ms, 10 ms (stage 21085.0: task 27324)) metadata time: 0 ms size of files read: 175.2 KiB number of output rows: 1,201"]; 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=1033468]

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

Project

Filter isnotnull(str_complete(N%C2%B0+s%C3%A9jour#1699107, 0, 20, LEFT))

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [N%C2%B0+s%C3%A9jour#1699107] Batched: true, DataFilters: [isnotnull(str_complete(N%C2%B0+s%C3%A9jour#1699107, 0, 20, LEFT))], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/excel/cache/SYNTHESE_DMI_20_237789_b7c9fcd90987..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<N%C2%B0+s%C3%A9jour:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- ShuffleQueryStage (7), Statistics(sizeInBytes=96.0 B, rowCount=6)
      +- 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]: [N%C2%B0+s%C3%A9jour#1699107]
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/excel/cache/SYNTHESE_DMI_20_237789_b7c9fcd90987f45e4002171a5d87dfdd/synthèse-DMI-2025.xls_41d136f5d26b76a99c371a1af7fc9e64]
ReadSchema: struct<N%C2%B0+s%C3%A9jour:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [N%C2%B0+s%C3%A9jour#1699107]

(3) Filter [codegen id : 1]
Input [1]: [N%C2%B0+s%C3%A9jour#1699107]
Condition : isnotnull(str_complete(N%C2%B0+s%C3%A9jour#1699107, 0, 20, LEFT))

(4) Project [codegen id : 1]
Output: []
Input [1]: [N%C2%B0+s%C3%A9jour#1699107]

(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#1699950L]
Results [1]: [count#1699951L]

(6) Exchange
Input [1]: [count#1699951L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1033468]

(7) ShuffleQueryStage
Output [1]: [count#1699951L]
Arguments: 0

(8) HashAggregate [codegen id : 2]
Input [1]: [count#1699951L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#1699947L]
Results [1]: [count(1)#1699947L AS count#1699948L]

(9) Filter
Input [1]: [N%C2%B0+s%C3%A9jour#1699107]
Condition : isnotnull(str_complete(N%C2%B0+s%C3%A9jour#1699107, 0, 20, LEFT))

(10) Project
Output: []
Input [1]: [N%C2%B0+s%C3%A9jour#1699107]

(11) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#1699950L]
Results [1]: [count#1699951L]

(12) Exchange
Input [1]: [count#1699951L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1033448]

(13) HashAggregate
Input [1]: [count#1699951L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#1699947L]
Results [1]: [count(1)#1699947L AS count#1699948L]

(14) AdaptiveSparkPlan
Output [1]: [count#1699948L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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