EVAL1_SPC1 - Details for Query 24

Submitted Time: 2026/07/20 07:52:12
Duration: 0.4 s
Succeeded Jobs: 23 24

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: 1 ms peak memory: 64.2 MiB number of output rows: 4 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 323.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 4 local merged chunks fetched: 0 shuffle write time: 1 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: 4 local bytes read: 307.0 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: 256.0 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: 307.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 39 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 14 ms peak memory: 256.0 KiB number of output rows: 4 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 7 [labelType="html" label=" Project "]; } 8 [labelType="html" label="Scan csv number of output rows: 9 number of files read: 1 metadata time: 0 ms size of files read: 209.0 B"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871], functions=[sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, 10), ENSURE_REQUIREMENTS, [plan_id=513]

HashAggregate(keys=[COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871], functions=[partial_sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_count(1)])

Project [cast(Année#1809 as int) AS COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, Mois#1810 AS COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, cast(REFORMAT_FOR_DOUBLE(Montant#1812) as double) AS COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873]

WholeStageCodegen (1)

FileScan csv [Année#1809,Mois#1810,Montant#1812] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/csv/execution/AGREGATIONS_14338/current/SampleA..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<Année:string,Mois:string,Montant:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (13)
+- == Final Plan ==
   * HashAggregate (7)
   +- AQEShuffleRead (6)
      +- ShuffleQueryStage (5), Statistics(sizeInBytes=256.0 B, rowCount=4)
         +- Exchange (4)
            +- * HashAggregate (3)
               +- * Project (2)
                  +- Scan csv  (1)
+- == Initial Plan ==
   CollectLimit (12)
   +- HashAggregate (11)
      +- Exchange (10)
         +- HashAggregate (9)
            +- Project (8)
               +- Scan csv  (1)


(1) Scan csv 
Output [3]: [Année#1809, Mois#1810, Montant#1812]
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/csv/execution/AGREGATIONS_14338/current/SampleAgreg.csv]
ReadSchema: struct<Année:string,Mois:string,Montant:string>

(2) Project [codegen id : 1]
Output [3]: [cast(Année#1809 as int) AS COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, Mois#1810 AS COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, cast(REFORMAT_FOR_DOUBLE(Montant#1812) as double) AS COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873]
Input [3]: [Année#1809, Mois#1810, Montant#1812]

(3) HashAggregate [codegen id : 1]
Input [3]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873]
Keys [2]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871]
Functions [3]: [partial_sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_count(1)]
Aggregate Attributes [4]: [sum#1913, sum#1914, count#1915L, count#1916L]
Results [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]

(4) Exchange
Input [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Arguments: hashpartitioning(COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, 10), ENSURE_REQUIREMENTS, [plan_id=513]

(5) ShuffleQueryStage
Output [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Arguments: 0

(6) AQEShuffleRead
Input [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Arguments: coalesced

(7) HashAggregate [codegen id : 2]
Input [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Keys [2]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871]
Functions [3]: [sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), count(1)]
Aggregate Attributes [3]: [sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1884, avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1886, count(1)#1888L]
Results [5]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870 AS COL_54C79A28_5F6D_437A_B07F_0C773186CFB2#1903, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871 AS COL_BA91770C_41C7_4F80_858F_41EC6C7F3AAF#1904, round(sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1884, 2) AS COL_163EA3B5_5757_4DDE_9599_6D5A63964510#1905, round(avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1886, 2) AS COL_D541A55B_ED70_4E68_9804_FEA98656D59A#1906, count(1)#1888L AS COL_396AC741_71FE_4EB2_B543_BA457999FB86#1907L]

(8) Project
Output [3]: [cast(Année#1809 as int) AS COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, Mois#1810 AS COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, cast(REFORMAT_FOR_DOUBLE(Montant#1812) as double) AS COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873]
Input [3]: [Année#1809, Mois#1810, Montant#1812]

(9) HashAggregate
Input [3]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873]
Keys [2]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871]
Functions [3]: [partial_sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), partial_count(1)]
Aggregate Attributes [4]: [sum#1913, sum#1914, count#1915L, count#1916L]
Results [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]

(10) Exchange
Input [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Arguments: hashpartitioning(COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, 10), ENSURE_REQUIREMENTS, [plan_id=499]

(11) HashAggregate
Input [6]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871, sum#1917, sum#1918, count#1919L, count#1920L]
Keys [2]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871]
Functions [3]: [sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873), count(1)]
Aggregate Attributes [3]: [sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1884, avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1886, count(1)#1888L]
Results [5]: [COL_E707C82E_E5B1_49CF_A378_44100666C257#1870 AS COL_54C79A28_5F6D_437A_B07F_0C773186CFB2#1903, COL_BF15E415_BED4_4B8C_989F_423694B9A23E#1871 AS COL_BA91770C_41C7_4F80_858F_41EC6C7F3AAF#1904, round(sum(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1884, 2) AS COL_163EA3B5_5757_4DDE_9599_6D5A63964510#1905, round(avg(COL_88EEDC58_735D_4CDE_8DCB_31D91FD1EB2D#1873)#1886, 2) AS COL_D541A55B_ED70_4E68_9804_FEA98656D59A#1906, count(1)#1888L AS COL_396AC741_71FE_4EB2_B543_BA457999FB86#1907L]

(12) CollectLimit
Input [5]: [COL_54C79A28_5F6D_437A_B07F_0C773186CFB2#1903, COL_BA91770C_41C7_4F80_858F_41EC6C7F3AAF#1904, COL_163EA3B5_5757_4DDE_9599_6D5A63964510#1905, COL_D541A55B_ED70_4E68_9804_FEA98656D59A#1906, COL_396AC741_71FE_4EB2_B543_BA457999FB86#1907L]
Arguments: 1500

(13) AdaptiveSparkPlan
Output [5]: [COL_54C79A28_5F6D_437A_B07F_0C773186CFB2#1903, COL_BA91770C_41C7_4F80_858F_41EC6C7F3AAF#1904, COL_163EA3B5_5757_4DDE_9599_6D5A63964510#1905, COL_D541A55B_ED70_4E68_9804_FEA98656D59A#1906, COL_396AC741_71FE_4EB2_B543_BA457999FB86#1907L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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