hdh-spark-job - Details for Query 1517

Submitted Time: 2026/10/23 14:48:17
Duration: 0.1 s
Succeeded Jobs: 1528 1529

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=" Project "]; 3 [labelType="html" label=" Project "]; 4 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 5 [labelType="html" label="Exchange shuffle records written: 1 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: 1 local bytes read: 63.0 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: 24.0 B 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: 63.0 B"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 18 ms"; 7 [labelType="html" label="HashAggregate time in aggregation build: 18 ms number of output rows: 1"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="ColumnarToRow number of output rows: 270 number of input batches: 1"]; } 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 18 ms metadata time: 0 ms size of files read: 40.1 KiB number of output rows: 270"]; 2->0; 3->2; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

Project [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L)), 100.0)), 2)), %)) AS COL_102699FC_FDC9_4693_B6F4_F16382E28979#791403]

Project [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, bigint_sum(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L)) AS COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L]

HashAggregate(keys=[], functions=[sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=41849]

HashAggregate(keys=[], functions=[partial_sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), partial_sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)])

Project [COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871 AS COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196, COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870 AS COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870,COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/LES_CONNECTEURS_326363], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363:int,COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024:int>

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * Project (9)
   +- * Project (8)
      +- * HashAggregate (7)
         +- ShuffleQueryStage (6), Statistics(sizeInBytes=24.0 B, rowCount=1)
            +- Exchange (5)
               +- * HashAggregate (4)
                  +- * Project (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   Project (15)
   +- Project (14)
      +- HashAggregate (13)
         +- Exchange (12)
            +- HashAggregate (11)
               +- Project (10)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870, COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/LES_CONNECTEURS_326363]
ReadSchema: struct<COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363:int,COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024:int>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870, COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871]

(3) Project [codegen id : 1]
Output [2]: [COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871 AS COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196, COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870 AS COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197]
Input [2]: [COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870, COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871]

(4) HashAggregate [codegen id : 1]
Input [2]: [COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196, COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197]
Keys: []
Functions [2]: [partial_sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), partial_sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)]
Aggregate Attributes [2]: [sum#791540L, sum#791541L]
Results [2]: [sum#791542L, sum#791543L]

(5) Exchange
Input [2]: [sum#791542L, sum#791543L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=41849]

(6) ShuffleQueryStage
Output [2]: [sum#791542L, sum#791543L]
Arguments: 0

(7) HashAggregate [codegen id : 2]
Input [2]: [sum#791542L, sum#791543L]
Keys: []
Functions [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)]
Aggregate Attributes [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196)#791294L, sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)#791296L]
Results [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196)#791294L AS COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)#791296L AS COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L]

(8) Project [codegen id : 2]
Output [3]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, bigint_sum(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L)) AS COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L]
Input [2]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L]

(9) Project [codegen id : 2]
Output [4]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L)), 100.0)), 2)),  %)) AS COL_102699FC_FDC9_4693_B6F4_F16382E28979#791403]
Input [3]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L]

(10) Project
Output [2]: [COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871 AS COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196, COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870 AS COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197]
Input [2]: [COL_EB3E6CC9_96D5_4816_ADE1_6E4E1266F363#790870, COL_7EF6F644_2607_4DDC_93B1_6E8CB6DD9024#790871]

(11) HashAggregate
Input [2]: [COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196, COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197]
Keys: []
Functions [2]: [partial_sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), partial_sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)]
Aggregate Attributes [2]: [sum#791540L, sum#791541L]
Results [2]: [sum#791542L, sum#791543L]

(12) Exchange
Input [2]: [sum#791542L, sum#791543L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=41830]

(13) HashAggregate
Input [2]: [sum#791542L, sum#791543L]
Keys: []
Functions [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196), sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)]
Aggregate Attributes [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196)#791294L, sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)#791296L]
Results [2]: [sum(COL_A0947DE8_E392_401D_B8BA_92E58A79B6CA#791196)#791294L AS COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, sum(COL_E6881CF1_AF02_46F9_AFDF_13C7E421E52D#791197)#791296L AS COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L]

(14) Project
Output [3]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, bigint_sum(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L)) AS COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L]
Input [2]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L]

(15) Project
Output [4]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L)), 100.0)), 2)),  %)) AS COL_102699FC_FDC9_4693_B6F4_F16382E28979#791403]
Input [3]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L]

(16) AdaptiveSparkPlan
Output [4]: [COL_7C3A4E6E_F9B5_4F51_91EB_BAAC206590B8#791372L, COL_79829D90_A742_402B_B985_F62073A2E4A4#791373L, COL_BB706B34_7818_428D_8041_FABE888DAE9A#791384L, COL_102699FC_FDC9_4693_B6F4_F16382E28979#791403]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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