hdh-spark-job - Details for Query 1563

Submitted Time: 2026/09/01 08:56:38
Duration: 0.4 s
Succeeded Jobs: 2014

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

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label="Execute InsertIntoHadoopFsRelationCommand task commit time: 1 ms number of written files: 1 job commit time: 6 ms number of output rows: 35,228 number of dynamic part: 0 written output: 20.6 MiB"]; 2 [labelType="html" label=" WriteFiles "]; 3 [labelType="html" label="InMemoryTableScan number of output rows: 35,228"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 0 ms"; 5 [labelType="html" label=" Project "]; 6 [labelType="html" label="Generate number of output rows: 0"]; 7 [labelType="html" label=" Project "]; } 8 [labelType="html" label="Scan json number of output rows: 0"]; 1->0; 2->1; 3->2; 5->3; 6->5; 7->6; 8->7; }

AdaptiveSparkPlan isFinalPlan=true

Execute InsertIntoHadoopFsRelationCommand file:/data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c], ErrorIfExists, [00233D4B_5734_4E45_957F_89AC647543A8, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4]

WriteFiles

InMemoryTableScan [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]

Project [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.geometry AS 00233D4B_5734_4E45_957F_89AC647543A8#338819, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.code AS 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.nom AS F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]

Generate explode(4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726), true, [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732]

Project [features#338717 AS 4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726]

WholeStageCodegen (1)

FileScan json [features#338717] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/208D3967_49FC_4FE0_8FCB_B1414FC7..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:strin...

Details

== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
   Execute InsertIntoHadoopFsRelationCommand (9)
   +- WriteFiles (8)
      +- TableCacheQueryStage (7), Statistics(sizeInBytes=41.4 MiB, rowCount=3.52E+4)
         +- InMemoryTableScan (1)
               +- InMemoryRelation (2)
                     +- * Project (6)
                        +- * Generate (5)
                           +- * Project (4)
                              +- Scan json  (3)
+- == Initial Plan ==
   Execute InsertIntoHadoopFsRelationCommand (11)
   +- WriteFiles (10)
      +- InMemoryTableScan (1)
            +- InMemoryRelation (2)
                  +- * Project (6)
                     +- * Generate (5)
                        +- * Project (4)
                           +- Scan json  (3)


(1) InMemoryTableScan
Output [3]: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]
Arguments: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]

(2) InMemoryRelation
Arguments: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@68f4cb77,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Project [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.geometry AS 00233D4B_5734_4E45_957F_89AC647543A8#338819, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.code AS 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.nom AS F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]
+- *(1) Generate explode(4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726), true, [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732]
   +- *(1) Project [features#338717 AS 4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726]
      +- FileScan json [features#338717] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/208D3967_49FC_4FE0_8FCB_B1414FC7..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:strin...
,None)

(3) Scan json 
Output [1]: [features#338717]
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/json/execution/208D3967_49FC_4FE0_8FCB_B1414FC7E2FE/current/communes.geojson]
ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:string>>>

(4) Project [codegen id : 1]
Output [1]: [features#338717 AS 4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726]
Input [1]: [features#338717]

(5) Generate [codegen id : 1]
Input [1]: [4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726]
Arguments: explode(4e70a2fb-cdda-4937-88dc-a7bc7a4b31d2#338726), true, [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732]

(6) Project [codegen id : 1]
Output [3]: [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.geometry AS 00233D4B_5734_4E45_957F_89AC647543A8#338819, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.code AS 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, 2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732.properties.nom AS F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]
Input [1]: [2f05086f-9a9f-45b1-9a95-9e384ed8c3dc#338732]

(7) TableCacheQueryStage
Output [3]: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]
Arguments: 0

(8) WriteFiles
Input [3]: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]

(9) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c], ErrorIfExists, [00233D4B_5734_4E45_957F_89AC647543A8, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4]

(10) WriteFiles
Input [3]: [00233D4B_5734_4E45_957F_89AC647543A8#338819, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02#338820, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4#338821]

(11) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/2299e338-2f4a-4913-b61b-e988ad6c0999/2026-09-01_08-56-35-536_LOCK_d4e59ea8-67d3-4c56-9e4f-59f32cc4339c], ErrorIfExists, [00233D4B_5734_4E45_957F_89AC647543A8, 10AC31B7_ADCF_4C2E_B9D8_93C0B5029E02, F9E50BF6_D9BE_49CE_9AC6_FEC5D876F0B4]

(12) AdaptiveSparkPlan
Output: []
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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