hdh-spark-job - Details for Query 1565

Submitted Time: 2026/09/01 08:57:41
Duration: 3 s
Succeeded Jobs: 2015 2016 2017

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: 35,357"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 5.4 s"; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Generate number of output rows: 35,357"]; 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: 43.8 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=103855]

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

WholeStageCodegen (1)

InMemoryTableScan

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 (15)
+- == Final Plan ==
   * HashAggregate (11)
   +- ShuffleQueryStage (10), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (9)
         +- * HashAggregate (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 ==
   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: [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: []
Arguments: 0

(8) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#339161L]
Results [1]: [count#339162L]

(9) Exchange
Input [1]: [count#339162L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=103855]

(10) ShuffleQueryStage
Output [1]: [count#339162L]
Arguments: 1

(11) HashAggregate [codegen id : 2]
Input [1]: [count#339162L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#339113L]
Results [1]: [count(1)#339113L AS count#339114L]

(12) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#339161L]
Results [1]: [count#339162L]

(13) Exchange
Input [1]: [count#339162L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=103831]

(14) HashAggregate
Input [1]: [count#339162L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#339113L]
Results [1]: [count(1)#339113L AS count#339114L]

(15) AdaptiveSparkPlan
Output [1]: [count#339114L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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