hdh-spark-job - Details for Query 1776

Submitted Time: 2026/09/03 11:50:36
Duration: 0.6 s
Succeeded Jobs: 2223 2225 2226

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 (3)\n \nduration: 0 ms"; 2 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 3 [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: 59.0 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: 16.0 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: 59.0 B"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 2 ms"; 5 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 2 ms peak memory: 0.0 B number of output rows: 1 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 1 ms peak memory: 256.0 KiB number of output rows: 31 number of sort fallback tasks: 0 avg hash probes per key: 0"]; } 7 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 7.2 KiB number of coalesced partitions: 1"]; 8 [labelType="html" label="Exchange shuffle records written: 244 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 10 ms (1 ms, 1 ms, 1 ms (stage 3244.0: task 25976)) 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: 244 local bytes read: 6.8 KiB fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 8 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 5.7 KiB (696.0 B, 744.0 B, 744.0 B (stage 3244.0: task 25977)) 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 total (min, med, max (stageId: taskId)) 6.8 KiB (864.0 B, 876.0 B, 884.0 B (stage 3244.0: task 25978))"]; subgraph cluster9 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n997 ms (60 ms, 130 ms, 147 ms (stage 3244.0: task 25976))"; 10 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build total (min, med, max (stageId: taskId)) 971 ms (56 ms, 127 ms, 144 ms (stage 3244.0: task 25976)) peak memory total (min, med, max (stageId: taskId)) 2.0 MiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 3244.0: task 25977)) number of output rows: 244 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 11 [labelType="html" label=" Project "]; } 12 [labelType="html" label="Scan csv number of output rows: 438,506 number of files read: 1 metadata time: 0 ms size of files read: 29.7 MiB"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; 10->8; 11->10; 12->11; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (3)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=107726]

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

HashAggregate(keys=[COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898], functions=[])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898, 10), ENSURE_REQUIREMENTS, [plan_id=107672]

HashAggregate(keys=[COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898], functions=[])

Project [SPECACC#449777 AS COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]

WholeStageCodegen (1)

FileScan csv [SPECACC#449777] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/csv/execution/0B169EC1_E45B_447C_B262_7BC2954E3..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<SPECACC:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (19)
+- == Final Plan ==
   * HashAggregate (11)
   +- ShuffleQueryStage (10), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (9)
         +- * HashAggregate (8)
            +- * HashAggregate (7)
               +- AQEShuffleRead (6)
                  +- ShuffleQueryStage (5), Statistics(sizeInBytes=5.7 KiB, rowCount=244)
                     +- Exchange (4)
                        +- * HashAggregate (3)
                           +- * Project (2)
                              +- Scan csv  (1)
+- == Initial Plan ==
   HashAggregate (18)
   +- Exchange (17)
      +- HashAggregate (16)
         +- HashAggregate (15)
            +- Exchange (14)
               +- HashAggregate (13)
                  +- Project (12)
                     +- Scan csv  (1)


(1) Scan csv 
Output [1]: [SPECACC#449777]
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/csv/execution/0B169EC1_E45B_447C_B262_7BC2954E3BEE/current/RSF_Actes__patient.csv]
ReadSchema: struct<SPECACC:string>

(2) Project [codegen id : 1]
Output [1]: [SPECACC#449777 AS COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Input [1]: [SPECACC#449777]

(3) HashAggregate [codegen id : 1]
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Keys [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]

(4) Exchange
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Arguments: hashpartitioning(COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898, 10), ENSURE_REQUIREMENTS, [plan_id=107672]

(5) ShuffleQueryStage
Output [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Arguments: 0

(6) AQEShuffleRead
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Arguments: coalesced

(7) HashAggregate [codegen id : 2]
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Keys [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Functions: []
Aggregate Attributes: []
Results: []

(8) HashAggregate [codegen id : 2]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#449920L]
Results [1]: [count#449921L]

(9) Exchange
Input [1]: [count#449921L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=107726]

(10) ShuffleQueryStage
Output [1]: [count#449921L]
Arguments: 1

(11) HashAggregate [codegen id : 3]
Input [1]: [count#449921L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#449917L]
Results [1]: [count(1)#449917L AS count#449918L]

(12) Project
Output [1]: [SPECACC#449777 AS COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Input [1]: [SPECACC#449777]

(13) HashAggregate
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Keys [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]

(14) Exchange
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Arguments: hashpartitioning(COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898, 10), ENSURE_REQUIREMENTS, [plan_id=107650]

(15) HashAggregate
Input [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Keys [1]: [COL_AFD799C8_68A7_4102_A165_EAFF501D0780#449898]
Functions: []
Aggregate Attributes: []
Results: []

(16) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#449920L]
Results [1]: [count#449921L]

(17) Exchange
Input [1]: [count#449921L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=107654]

(18) HashAggregate
Input [1]: [count#449921L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#449917L]
Results [1]: [count(1)#449917L AS count#449918L]

(19) AdaptiveSparkPlan
Output [1]: [count#449918L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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