hdh-spark-job - Details for Query 1566

Submitted Time: 2026/09/01 08:57:44
Duration: 0.4 s
Succeeded Jobs: 2018

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: 5 ms number of output rows: 35,357 number of dynamic part: 0 written output: 20.9 MiB"]; 2 [labelType="html" label=" WriteFiles "]; 3 [labelType="html" label="InMemoryTableScan number of output rows: 35,357"]; 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_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e], ErrorIfExists, [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D, E22536DE_090D_4DC8_8C68_0115B901E4BE, 61B6FDFC_8690_42AE_9323_0BD93388D39D]

WriteFiles

InMemoryTableScan [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]

Project [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.geometry AS 3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.code AS E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.nom AS 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]

Generate explode(ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996), true, [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002]

Project [features#338987 AS ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996]

WholeStageCodegen (1)

FileScan json [features#338987] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/188025A0_DDA0_4EDF_AD73_BCF1A7CE..., 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=42.0 MiB, rowCount=3.54E+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]: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]
Arguments: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]

(2) InMemoryRelation
Arguments: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@68f4cb77,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Project [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.geometry AS 3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.code AS E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.nom AS 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]
+- *(1) Generate explode(ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996), true, [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002]
   +- *(1) Project [features#338987 AS ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996]
      +- FileScan json [features#338987] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/188025A0_DDA0_4EDF_AD73_BCF1A7CE..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:strin...
,None)

(3) Scan json 
Output [1]: [features#338987]
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/json/execution/188025A0_DDA0_4EDF_AD73_BCF1A7CECE59/current/communes-avec-outre-mer.geojson]
ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:string>>>

(4) Project [codegen id : 1]
Output [1]: [features#338987 AS ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996]
Input [1]: [features#338987]

(5) Generate [codegen id : 1]
Input [1]: [ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996]
Arguments: explode(ffe737ef-26df-476f-a0ab-bf1ea7d7463c#338996), true, [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002]

(6) Project [codegen id : 1]
Output [3]: [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.geometry AS 3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.code AS E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002.properties.nom AS 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]
Input [1]: [343cd3c5-4ab7-4163-9ed2-9f8d88c9077f#339002]

(7) TableCacheQueryStage
Output [3]: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]
Arguments: 0

(8) WriteFiles
Input [3]: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]

(9) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/data/subscriptions/NOMENCLATURES_A_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e], ErrorIfExists, [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D, E22536DE_090D_4DC8_8C68_0115B901E4BE, 61B6FDFC_8690_42AE_9323_0BD93388D39D]

(10) WriteFiles
Input [3]: [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D#339089, E22536DE_090D_4DC8_8C68_0115B901E4BE#339090, 61B6FDFC_8690_42AE_9323_0BD93388D39D#339091]

(11) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/data/subscriptions/NOMENCLATURES_A_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e, false, Parquet, [path=file:///data/data/subscriptions/NOMENCLATURES_A_425642/477e11fc-60b0-491c-b9af-ff04cc1a3fc5/2026-09-01_08-57-41-733_LOCK_7dfd913b-36f2-49bd-bd1d-0812d8adf92e], ErrorIfExists, [3CA8F2B5_7A47_4F4C_8FEC_E207BE4F5E8D, E22536DE_090D_4DC8_8C68_0115B901E4BE, 61B6FDFC_8690_42AE_9323_0BD93388D39D]

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

SQL / DataFrame Properties

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