SP1 - Details for Query 297

Submitted Time: 2026/02/20 09:26:12
Duration: 3 s
Succeeded Jobs: 427 441

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: 3 ms"; 2 [labelType="html" label="HashAggregate time in aggregation build: 3 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 572.0: task 815)) 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: 345.0 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 572.0: task 815)) 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)) 345.0 B (56.0 B, 59.0 B, 59.0 B (stage 572.0: task 811))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n13.7 s (1.5 s, 2.4 s, 2.9 s (stage 572.0: task 814))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 13.7 s (1.5 s, 2.4 s, 2.9 s (stage 572.0: task 814)) number of output rows: 6"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Filter number of output rows: 19,398"]; 8 [labelType="html" label="ColumnarToRow number of output rows: 567,911 number of input batches: 143"]; } 9 [labelType="html" label="Scan parquet number of files read: 12 scan time total (min, med, max (stageId: taskId)) 1.1 s (51 ms, 75 ms, 675 ms (stage 572.0: task 814)) metadata time: 0 ms size of files read: 6.2 MiB number of output rows: 567,911"]; 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=8671]

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

Project

Filter (((((((((CASE WHEN isnull(Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME)) THEN false ELSE Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME) END OR CASE WHEN isnull(Contains(str_remove_accent(upper(IPP_19976#118120)), ME)) THEN false ELSE Contains(str_remove_accent(upper(IPP_19976#118120)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME)) THEN false ELSE Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME) END)

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [CODE_CHAMBRE_19984#118113,CODE_ETABLISSEM_19982#118114,CODE_UF_19985#118115,DATE_DE_CONFIRM_19981#118116,DATE_DE_SAISIE__19980#118117,IPP_19976#118120,LIBELLE_ETABLIS_19983#118121,LIBELLE_UF_19986#118122,NUMERO_DE_VENUE_19975#118123,TYPE_DE_VENUE_19977#118124] Batched: true, DataFilters: [(((((((((CASE WHEN isnull(Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME)) ..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/PATIENTS_VENUES_19974], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<CODE_CHAMBRE_19984:string,CODE_ETABLISSEM_19982:string,CODE_UF_19985:string,DATE_DE_CONFIR...

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 [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/PATIENTS_VENUES_19974]
ReadSchema: struct<CODE_CHAMBRE_19984:string,CODE_ETABLISSEM_19982:string,CODE_UF_19985:string,DATE_DE_CONFIRM_19981:string,DATE_DE_SAISIE__19980:string,IPP_19976:string,LIBELLE_ETABLIS_19983:string,LIBELLE_UF_19986:string,NUMERO_DE_VENUE_19975:string,TYPE_DE_VENUE_19977:string>

(2) ColumnarToRow [codegen id : 1]
Input [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]

(3) Filter [codegen id : 1]
Input [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]
Condition : (((((((((CASE WHEN isnull(Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME)) THEN false ELSE Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME) END OR CASE WHEN isnull(Contains(str_remove_accent(upper(IPP_19976#118120)), ME)) THEN false ELSE Contains(str_remove_accent(upper(IPP_19976#118120)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME)) THEN false ELSE Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME) END)

(4) Project [codegen id : 1]
Output: []
Input [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]

(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#118604L]
Results [1]: [count#118605L]

(6) Exchange
Input [1]: [count#118605L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=8671]

(7) ShuffleQueryStage
Output [1]: [count#118605L]
Arguments: 0

(8) HashAggregate [codegen id : 2]
Input [1]: [count#118605L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#118534L]
Results [1]: [count(1)#118534L AS COL_f556a419-fb02-4a6d-93bf-df5172ebf4d1#118536L]

(9) Filter
Input [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]
Condition : (((((((((CASE WHEN isnull(Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME)) THEN false ELSE Contains(str_remove_accent(upper(NUMERO_DE_VENUE_19975#118123)), ME) END OR CASE WHEN isnull(Contains(str_remove_accent(upper(IPP_19976#118120)), ME)) THEN false ELSE Contains(str_remove_accent(upper(IPP_19976#118120)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME)) THEN false ELSE Contains(str_remove_accent(upper(TYPE_DE_VENUE_19977#118124)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_SAISIE__19980#118117)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME)) THEN false ELSE Contains(str_remove_accent(upper(DATE_DE_CONFIRM_19981#118116)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_ETABLISSEM_19982#118114)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_ETABLIS_19983#118121)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_CHAMBRE_19984#118113)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_UF_19985#118115)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME)) THEN false ELSE Contains(str_remove_accent(upper(LIBELLE_UF_19986#118122)), ME) END)

(10) Project
Output: []
Input [10]: [CODE_CHAMBRE_19984#118113, CODE_ETABLISSEM_19982#118114, CODE_UF_19985#118115, DATE_DE_CONFIRM_19981#118116, DATE_DE_SAISIE__19980#118117, IPP_19976#118120, LIBELLE_ETABLIS_19983#118121, LIBELLE_UF_19986#118122, NUMERO_DE_VENUE_19975#118123, TYPE_DE_VENUE_19977#118124]

(11) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#118604L]
Results [1]: [count#118605L]

(12) Exchange
Input [1]: [count#118605L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=8651]

(13) HashAggregate
Input [1]: [count#118605L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#118534L]
Results [1]: [count(1)#118534L AS COL_f556a419-fb02-4a6d-93bf-df5172ebf4d1#118536L]

(14) AdaptiveSparkPlan
Output [1]: [COL_f556a419-fb02-4a6d-93bf-df5172ebf4d1#118536L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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