SparkEngine - Details for Query 77

Submitted Time: 2025/03/05 14:45:33
Duration: 99 ms
Succeeded Jobs: 141 142

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 total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 206.0: task 141)) 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 total (min, med, max (stageId: taskId)) 16.0 B (0.0 B, 16.0 B, 16.0 B (stage 206.0: task 141)) 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)) 59.0 B (0.0 B, 59.0 B, 59.0 B (stage 206.0: task 141))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 3 ms"; 5 [labelType="html" label="HashAggregate time in aggregation build: 3 ms number of output rows: 1"]; 6 [labelType="html" label="ColumnarToRow number of output rows: 1 number of input batches: 1"]; } 7 [labelType="html" label="Scan parquet number of files read: 1 scan time: 3 ms metadata time: 0 ms size of files read: 8.5 KiB number of output rows: 1"]; 2->0; 3->2; 5->3; 6->5; 7->6; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=2607]

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

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/home/sdata/tomcat/webapps/storage_area/private/config/123456789/..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>

Details

== Physical Plan ==
AdaptiveSparkPlan (10)
+- == Final Plan ==
   * HashAggregate (6)
   +- ShuffleQueryStage (5), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (4)
         +- * HashAggregate (3)
            +- * ColumnarToRow (2)
               +- Scan parquet  (1)
+- == Initial Plan ==
   HashAggregate (9)
   +- Exchange (8)
      +- HashAggregate (7)
         +- Scan parquet  (1)


(1) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/home/sdata/tomcat/webapps/storage_area/private/config/123456789/钱嘉乐shurui/asset/datafile/8133694624285962]
ReadSchema: struct<>

(2) ColumnarToRow [codegen id : 1]
Input: []

(3) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#8328L]
Results [1]: [count#8329L]

(4) Exchange
Input [1]: [count#8329L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=2607]

(5) ShuffleQueryStage
Output [1]: [count#8329L]
Arguments: 0

(6) HashAggregate [codegen id : 2]
Input [1]: [count#8329L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#8325L]
Results [1]: [count(1)#8325L AS count#8326L]

(7) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#8328L]
Results [1]: [count#8329L]

(8) Exchange
Input [1]: [count#8329L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=2595]

(9) HashAggregate
Input [1]: [count#8329L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#8325L]
Results [1]: [count(1)#8325L AS count#8326L]

(10) AdaptiveSparkPlan
Output [1]: [count#8326L]
Arguments: isFinalPlan=true