hdh-spark-job - Details for Query 1566

Submitted Time: 2026/10/23 14:48:26
Duration: 74 ms
Succeeded Jobs: 1602 1603

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: 1 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 64.2 MiB number of output rows: 7 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 401.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 7 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: 7 local bytes read: 395.0 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: 224.0 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: 395.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 15 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 11 ms peak memory: 256.0 KiB number of output rows: 7 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="ColumnarToRow number of output rows: 270 number of input batches: 1"]; } 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 11 ms metadata time: 0 ms size of files read: 40.1 KiB number of output rows: 270"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, 10), ENSURE_REQUIREMENTS, [plan_id=43362]

HashAggregate(keys=[COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688], functions=[partial_count(1)])

Project [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540 AS COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/LES_CONNECTEURS_326363], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- AQEShuffleRead (7)
      +- ShuffleQueryStage (6), Statistics(sizeInBytes=224.0 B, rowCount=7)
         +- Exchange (5)
            +- * HashAggregate (4)
               +- * Project (3)
                  +- * ColumnarToRow (2)
                     +- Scan parquet  (1)
+- == Initial Plan ==
   CollectLimit (13)
   +- HashAggregate (12)
      +- Exchange (11)
         +- HashAggregate (10)
            +- Project (9)
               +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/LES_CONNECTEURS_326363]
ReadSchema: struct<COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540]

(3) Project [codegen id : 1]
Output [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540 AS COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Input [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Keys [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#797744L]
Results [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]

(5) Exchange
Input [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Arguments: hashpartitioning(COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, 10), ENSURE_REQUIREMENTS, [plan_id=43362]

(6) ShuffleQueryStage
Output [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Keys [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#797715L]
Results [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688 AS COL_6945E9F9_7B44_4C70_880B_AAEECBA46BA5#797705, count(1)#797715L AS COL_AF5B56F0_51EF_4BEF_88E2_75C339EAACC4#797717L]

(9) Project
Output [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540 AS COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Input [1]: [COL_BFCBC5B0_CBA1_49C3_942E_15B32D516ABC#797540]

(10) HashAggregate
Input [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Keys [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#797744L]
Results [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]

(11) Exchange
Input [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Arguments: hashpartitioning(COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, 10), ENSURE_REQUIREMENTS, [plan_id=43343]

(12) HashAggregate
Input [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688, count#797745L]
Keys [1]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#797715L]
Results [2]: [COL_391EB275_276E_45BB_8AB5_CCA04F2E1B00#797688 AS COL_6945E9F9_7B44_4C70_880B_AAEECBA46BA5#797705, count(1)#797715L AS COL_AF5B56F0_51EF_4BEF_88E2_75C339EAACC4#797717L]

(13) CollectLimit
Input [2]: [COL_6945E9F9_7B44_4C70_880B_AAEECBA46BA5#797705, COL_AF5B56F0_51EF_4BEF_88E2_75C339EAACC4#797717L]
Arguments: 500000

(14) AdaptiveSparkPlan
Output [2]: [COL_6945E9F9_7B44_4C70_880B_AAEECBA46BA5#797705, COL_AF5B56F0_51EF_4BEF_88E2_75C339EAACC4#797717L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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