SP1 - Details for Query 422

Submitted Time: 2026/02/23 14:35:54
Duration: 0.3 s
Succeeded Jobs: 563 564

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: 6 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 256.0 KiB number of output rows: 3 number of sort fallback tasks: 0 avg hash probes per key: 0"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 216.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 3 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: 3 local bytes read: 204.0 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: 72.0 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: 204.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 8 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 2 ms peak memory: 256.0 KiB number of output rows: 3 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="Filter number of output rows: 3"]; 9 [labelType="html" label="ColumnarToRow number of output rows: 3 number of input batches: 1"]; } 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 2 ms metadata time: 0 ms size of files read: 576.0 B number of output rows: 3"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166], functions=[])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166, 10), ENSURE_REQUIREMENTS, [plan_id=12345]

HashAggregate(keys=[COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166], functions=[])

Project [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160 AS COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]

Filter CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), ) END

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160] Batched: true, DataFilters: [CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/FINESS_ANNEE_ET_307893], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_2D4B6273_3F11_4732_BB09_9811C83B8C53:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * HashAggregate (9)
   +- AQEShuffleRead (8)
      +- ShuffleQueryStage (7), Statistics(sizeInBytes=72.0 B, rowCount=3)
         +- Exchange (6)
            +- * HashAggregate (5)
               +- * Project (4)
                  +- * Filter (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   CollectLimit (15)
   +- HashAggregate (14)
      +- Exchange (13)
         +- HashAggregate (12)
            +- Project (11)
               +- Filter (10)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/FINESS_ANNEE_ET_307893]
ReadSchema: struct<COL_2D4B6273_3F11_4732_BB09_9811C83B8C53:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]

(3) Filter [codegen id : 1]
Input [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]
Condition : CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), ) END

(4) Project [codegen id : 1]
Output [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160 AS COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Input [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]

(5) HashAggregate [codegen id : 1]
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Keys [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]

(6) Exchange
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Arguments: hashpartitioning(COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166, 10), ENSURE_REQUIREMENTS, [plan_id=12345]

(7) ShuffleQueryStage
Output [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Arguments: 0

(8) AQEShuffleRead
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Arguments: coalesced

(9) HashAggregate [codegen id : 2]
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Keys [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166 AS COL_032B7EF5_D22B_4D39_A5D1_10B59BEF62F4#133182]

(10) Filter
Input [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]
Condition : CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160))), ) END

(11) Project
Output [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160 AS COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Input [1]: [COL_2D4B6273_3F11_4732_BB09_9811C83B8C53#133160]

(12) HashAggregate
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Keys [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]

(13) Exchange
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Arguments: hashpartitioning(COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166, 10), ENSURE_REQUIREMENTS, [plan_id=12322]

(14) HashAggregate
Input [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Keys [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_0B203649_CACA_4323_9A29_AAC1B5A85B5F#133166 AS COL_032B7EF5_D22B_4D39_A5D1_10B59BEF62F4#133182]

(15) CollectLimit
Input [1]: [COL_032B7EF5_D22B_4D39_A5D1_10B59BEF62F4#133182]
Arguments: 100

(16) AdaptiveSparkPlan
Output [1]: [COL_032B7EF5_D22B_4D39_A5D1_10B59BEF62F4#133182]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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