hdh-spark-job - Details for Query 1556

Submitted Time: 2026/09/01 08:52:37
Duration: 0.3 s
Succeeded Jobs: 2003 2004 2005

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: 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 (1)\n \nduration: 0 ms"; 5 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 6 [labelType="html" label="InMemoryTableScan number of output rows: 96"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 451 ms"; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Generate number of output rows: 96"]; 10 [labelType="html" label=" Project "]; } 11 [labelType="html" label="Scan json number of output rows: 1 number of files read: 1 metadata time: 0 ms size of files read: 3.3 MiB"]; 2->0; 3->2; 5->3; 6->5; 8->6; 9->8; 10->9; 11->10; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=103585]

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

WholeStageCodegen (1)

InMemoryTableScan

Project [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.geometry AS FD101D31_C657_439C_A284_085511FA0D94#338279, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.code AS 5C943F9D_D5C2_45DE_993E_23A1210DE0D0#338280, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.nom AS 2F836F90_DCC5_4A8D_B273_DFFD62D2CC41#338281]

Generate explode(711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186), true, [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192]

Project [features#338177 AS 711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186]

WholeStageCodegen (1)

FileScan json [features#338177] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/0A476A12_2BFF_4FD8_AC75_C83E2134..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:strin...

Details

== Physical Plan ==
AdaptiveSparkPlan (15)
+- == Final Plan ==
   * HashAggregate (11)
   +- ShuffleQueryStage (10), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (9)
         +- * HashAggregate (8)
            +- TableCacheQueryStage (7), Statistics(sizeInBytes=3.3 MiB, rowCount=96)
               +- InMemoryTableScan (1)
                     +- InMemoryRelation (2)
                           +- * Project (6)
                              +- * Generate (5)
                                 +- * Project (4)
                                    +- Scan json  (3)
+- == Initial Plan ==
   HashAggregate (14)
   +- Exchange (13)
      +- HashAggregate (12)
         +- InMemoryTableScan (1)
               +- InMemoryRelation (2)
                     +- * Project (6)
                        +- * Generate (5)
                           +- * Project (4)
                              +- Scan json  (3)


(1) InMemoryTableScan
Output: []

(2) InMemoryRelation
Arguments: [FD101D31_C657_439C_A284_085511FA0D94#338279, 5C943F9D_D5C2_45DE_993E_23A1210DE0D0#338280, 2F836F90_DCC5_4A8D_B273_DFFD62D2CC41#338281], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@68f4cb77,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Project [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.geometry AS FD101D31_C657_439C_A284_085511FA0D94#338279, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.code AS 5C943F9D_D5C2_45DE_993E_23A1210DE0D0#338280, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.nom AS 2F836F90_DCC5_4A8D_B273_DFFD62D2CC41#338281]
+- *(1) Generate explode(711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186), true, [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192]
   +- *(1) Project [features#338177 AS 711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186]
      +- FileScan json [features#338177] Batched: false, DataFilters: [], Format: JSON, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/json/execution/0A476A12_2BFF_4FD8_AC75_C83E2134..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:strin...
,None)

(3) Scan json 
Output [1]: [features#338177]
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/json/execution/0A476A12_2BFF_4FD8_AC75_C83E21346C24/current/departements.geojson]
ReadSchema: struct<features:array<struct<geometry:string,properties:struct<code:string,nom:string>,type:string>>>

(4) Project [codegen id : 1]
Output [1]: [features#338177 AS 711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186]
Input [1]: [features#338177]

(5) Generate [codegen id : 1]
Input [1]: [711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186]
Arguments: explode(711dd5e6-2106-47d9-a5b5-8fbe472034f9#338186), true, [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192]

(6) Project [codegen id : 1]
Output [3]: [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.geometry AS FD101D31_C657_439C_A284_085511FA0D94#338279, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.code AS 5C943F9D_D5C2_45DE_993E_23A1210DE0D0#338280, dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192.properties.nom AS 2F836F90_DCC5_4A8D_B273_DFFD62D2CC41#338281]
Input [1]: [dd46a5ad-faf5-4ebc-9892-f47eb5a7d1f1#338192]

(7) TableCacheQueryStage
Output: []
Arguments: 0

(8) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#338351L]
Results [1]: [count#338352L]

(9) Exchange
Input [1]: [count#338352L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=103585]

(10) ShuffleQueryStage
Output [1]: [count#338352L]
Arguments: 1

(11) HashAggregate [codegen id : 2]
Input [1]: [count#338352L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#338303L]
Results [1]: [count(1)#338303L AS count#338304L]

(12) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#338351L]
Results [1]: [count#338352L]

(13) Exchange
Input [1]: [count#338352L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=103561]

(14) HashAggregate
Input [1]: [count#338352L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#338303L]
Results [1]: [count(1)#338303L AS count#338304L]

(15) AdaptiveSparkPlan
Output [1]: [count#338304L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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