SP1 - Details for Query 508

Submitted Time: 2026/02/23 14:47:18
Duration: 0.4 s
Succeeded Jobs: 678 683

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label=" TakeOrderedAndProject "]; 2 [labelType="html" label="ObjectHashAggregate number of output rows: 5 time in aggregation build: 30 ms spill size: 0.0 B number of sort fallback tasks: 0"]; 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 5.3 KiB number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 5 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: 5 local bytes read: 5.0 KiB 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: 9.3 KiB 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: 5.0 KiB"]; 5 [labelType="html" label="ObjectHashAggregate number of output rows: 5 time in aggregation build total (min, med, max (stageId: taskId)) 185 ms (4 ms, 5 ms, 153 ms (stage 891.0: task 1198)) spill size: 0.0 B number of sort fallback tasks: 0"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n186 ms (4 ms, 6 ms, 153 ms (stage 891.0: task 1198))"; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="Filter number of output rows: 785"]; 9 [labelType="html" label="ColumnarToRow number of output rows: 60,000 number of input batches: 15"]; } 10 [labelType="html" label="Scan parquet number of files read: 7 scan time total (min, med, max (stageId: taskId)) 46 ms (4 ms, 5 ms, 15 ms (stage 891.0: task 1198)) metadata time: 0 ms size of files read: 11.5 MiB number of output rows: 60,000"]; 1->0; 2->1; 3->2; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

TakeOrderedAndProject(limit=500000, orderBy=[COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237 ASC NULLS FIRST], output=[COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237,COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267,COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L])

ObjectHashAggregate(keys=[COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146], functions=[collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), count(1)])

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, 10), ENSURE_REQUIREMENTS, [plan_id=14717]

ObjectHashAggregate(keys=[COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146], functions=[partial_collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), partial_count(1)])

Project [COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020 AS COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027 AS COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]

Filter ((((COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019 <=> 350000055) AND (COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028 <=> 2025-07)) AND isnotnull(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027)) AND CASE WHEN isnull(StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur)) THEN false ELSE StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur) END)

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019,COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020,COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027,COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028] Batched: true, DataFilters: [(COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019 <=> 350000055), (COL_C64DEE10_05C3_46E2_953B_1F..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/1_D_2_CMR_CASE__307277], PartitionFilters: [], PushedFilters: [EqualNullSafe(COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB,350000055), EqualNullSafe(COL_C64DEE10_05..., ReadSchema: struct<COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB:string,COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39:s...

Details

== Physical Plan ==
AdaptiveSparkPlan (17)
+- == Final Plan ==
   TakeOrderedAndProject (10)
   +- ObjectHashAggregate (9)
      +- AQEShuffleRead (8)
         +- ShuffleQueryStage (7), Statistics(sizeInBytes=9.3 KiB, rowCount=5)
            +- Exchange (6)
               +- ObjectHashAggregate (5)
                  +- * Project (4)
                     +- * Filter (3)
                        +- * ColumnarToRow (2)
                           +- Scan parquet  (1)
+- == Initial Plan ==
   TakeOrderedAndProject (16)
   +- ObjectHashAggregate (15)
      +- Exchange (14)
         +- ObjectHashAggregate (13)
            +- Project (12)
               +- Filter (11)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/1_D_2_CMR_CASE__307277]
PushedFilters: [EqualNullSafe(COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB,350000055), EqualNullSafe(COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9,2025-07), IsNotNull(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9)]
ReadSchema: struct<COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB:string,COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39:string,COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9:string,COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9:string>

(2) ColumnarToRow [codegen id : 1]
Input [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]

(3) Filter [codegen id : 1]
Input [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]
Condition : ((((COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019 <=> 350000055) AND (COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028 <=> 2025-07)) AND isnotnull(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027)) AND CASE WHEN isnull(StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur)) THEN false ELSE StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur) END)

(4) Project [codegen id : 1]
Output [2]: [COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020 AS COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027 AS COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Input [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]

(5) ObjectHashAggregate
Input [2]: [COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Keys [1]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Functions [2]: [partial_collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), partial_count(1)]
Aggregate Attributes [2]: [buf#144498, count#144499L]
Results [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]

(6) Exchange
Input [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Arguments: hashpartitioning(COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, 10), ENSURE_REQUIREMENTS, [plan_id=14717]

(7) ShuffleQueryStage
Output [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Arguments: 0

(8) AQEShuffleRead
Input [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Arguments: coalesced

(9) ObjectHashAggregate
Input [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Keys [1]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Functions [2]: [collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), count(1)]
Aggregate Attributes [2]: [collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0)#144266, count(1)#144268L]
Results [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146 AS COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0)#144266 AS COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, count(1)#144268L AS COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]

(10) TakeOrderedAndProject
Input [3]: [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]
Arguments: 500000, [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237 ASC NULLS FIRST], [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]

(11) Filter
Input [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]
Condition : ((((COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019 <=> 350000055) AND (COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028 <=> 2025-07)) AND isnotnull(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027)) AND CASE WHEN isnull(StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur)) THEN false ELSE StartsWith(COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, Supérieur) END)

(12) Project
Output [2]: [COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020 AS COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027 AS COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Input [4]: [COL_36BA36BA_D1CC_4770_ABD4_69C675D079EB#144019, COL_637AA126_E43A_4B72_A7C5_6B8D1201BA39#144020, COL_A23DE8F0_C7A0_498D_AEB3_2AB5429550E9#144027, COL_C64DEE10_05C3_46E2_953B_1F903CDFA5C9#144028]

(13) ObjectHashAggregate
Input [2]: [COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Keys [1]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Functions [2]: [partial_collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), partial_count(1)]
Aggregate Attributes [2]: [buf#144498, count#144499L]
Results [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]

(14) Exchange
Input [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Arguments: hashpartitioning(COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, 10), ENSURE_REQUIREMENTS, [plan_id=14694]

(15) ObjectHashAggregate
Input [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146, buf#144500, count#144501L]
Keys [1]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146]
Functions [2]: [collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0), count(1)]
Aggregate Attributes [2]: [collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0)#144266, count(1)#144268L]
Results [3]: [COL_8E27D2F3_0BFB_4247_B8CA_9E75BCDFCB1A#144146 AS COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, collect_set(COL_3D869D6E_882C_458B_8BF2_23F7EC16C280#144139, 0, 0)#144266 AS COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, count(1)#144268L AS COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]

(16) TakeOrderedAndProject
Input [3]: [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]
Arguments: 500000, [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237 ASC NULLS FIRST], [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]

(17) AdaptiveSparkPlan
Output [3]: [COL_4B6EED46_6C91_48FA_B7E6_B947514A4BCB#144237, COL_0BFD13A9_E4DD_497B_AFE5_0C48EB6B4102#144267, COL_CC2E8CFB_DBAA_4D2E_88B6_91F1F759459A#144270L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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