hdh-spark-job - Details for Query 1055

Submitted Time: 2026/10/23 08:06:56
Duration: 49 ms
Succeeded Jobs: 1068 1069

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 (4)\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: 2 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 1439.0: task 1295)) 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: 2 local bytes read: 118.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 2 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 32.0 B (16.0 B, 16.0 B, 16.0 B (stage 1439.0: task 1295)) 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 total (min, med, max (stageId: taskId)) 118.0 B (59.0 B, 59.0 B, 59.0 B (stage 1439.0: task 1295))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (3)\n \nduration: total (min, med, max (stageId: taskId))\n2 ms (1 ms, 1 ms, 1 ms (stage 1439.0: task 1295))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 1439.0: task 1295)) number of output rows: 2"]; } 6 [labelType="html" label=" Union "]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 0 ms"; 8 [labelType="html" label="Scan JDBCRelation((SELECT \"da_codcha\", \"da_codbas\", \"da_annval\", \"da_poids\", \"da_letgre\", \"da_icr\", \"da_noseq\", \"da_seule\", \"da_cdam\", \"da_defini\", \"da_index\", \"da_datmeo\", \"da_datmaj\", \"da_coduti\", \"da_unioeu\" FROM \"xplore\".\"h_cdam\") as x) [numPartitions=1] number of output rows: 1,083"]; } subgraph cluster9 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 0 ms"; 10 [labelType="html" label="Scan JDBCRelation((SELECT \"da_codcha\", \"da_codbas\", \"da_annval\", \"da_poids\", \"da_letgre\", \"da_icr\", \"da_noseq\", \"da_seule\", \"da_cdam\", \"da_defini\", \"da_index\", \"da_datmeo\", \"da_datmaj\", \"da_coduti\", \"da_unioeu\" FROM \"xplore2\".\"h_cdam\") as x) [numPartitions=1] number of output rows: 1,083"]; } 2->0; 3->2; 5->3; 6->5; 8->6; 10->6; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (4)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=22803]

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

WholeStageCodegen (3)

Union

Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore"."h_cdam") as x) [numPartitions=1] [] PushedFilters: [], ReadSchema: struct<>

WholeStageCodegen (1)

Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore2"."h_cdam") as x) [numPartitions=1] [] PushedFilters: [], ReadSchema: struct<>

WholeStageCodegen (2)

Details

== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
   * HashAggregate (7)
   +- ShuffleQueryStage (6), Statistics(sizeInBytes=32.0 B, rowCount=2)
      +- Exchange (5)
         +- * HashAggregate (4)
            +- Union (3)
               :- * Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore"."h_cdam") as x) [numPartitions=1]  (1)
               +- * Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore2"."h_cdam") as x) [numPartitions=1]  (2)
+- == Initial Plan ==
   HashAggregate (11)
   +- Exchange (10)
      +- HashAggregate (9)
         +- Union (8)
            :- Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore"."h_cdam") as x) [numPartitions=1]  (1)
            +- Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore2"."h_cdam") as x) [numPartitions=1]  (2)


(1) Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore"."h_cdam") as x) [numPartitions=1]  [codegen id : 1]
Output: []
ReadSchema: struct<>

(2) Scan JDBCRelation((SELECT "da_codcha", "da_codbas", "da_annval", "da_poids", "da_letgre", "da_icr", "da_noseq", "da_seule", "da_cdam", "da_defini", "da_index", "da_datmeo", "da_datmaj", "da_coduti", "da_unioeu" FROM "xplore2"."h_cdam") as x) [numPartitions=1]  [codegen id : 2]
Output: []
ReadSchema: struct<>

(3) Union

(4) HashAggregate [codegen id : 3]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#320399L]
Results [1]: [count#320400L]

(5) Exchange
Input [1]: [count#320400L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=22803]

(6) ShuffleQueryStage
Output [1]: [count#320400L]
Arguments: 0

(7) HashAggregate [codegen id : 4]
Input [1]: [count#320400L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#320380L]
Results [1]: [count(1)#320380L AS count#320381L]

(8) Union

(9) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#320399L]
Results [1]: [count#320400L]

(10) Exchange
Input [1]: [count#320400L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=22789]

(11) HashAggregate
Input [1]: [count#320400L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#320380L]
Results [1]: [count(1)#320380L AS count#320381L]

(12) AdaptiveSparkPlan
Output [1]: [count#320381L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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