SP1 - Details for Query 248

Submitted Time: 2026/04/21 08:58:09
Duration: 0.1 s
Succeeded Jobs: 249 250

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: 3 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 1 ms (0 ms, 0 ms, 0 ms (stage 394.0: task 299)) 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: 3 local bytes read: 177.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 3 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 48.0 B (16.0 B, 16.0 B, 16.0 B (stage 394.0: task 299)) 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)) 177.0 B (59.0 B, 59.0 B, 59.0 B (stage 394.0: task 299))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n15 ms (4 ms, 5 ms, 6 ms (stage 394.0: task 299))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 15 ms (4 ms, 5 ms, 6 ms (stage 394.0: task 299)) number of output rows: 3"]; 6 [labelType="html" label="ColumnarToRow number of output rows: 48 number of input batches: 3"]; } 7 [labelType="html" label=" Union "]; 8 [labelType="html" label="Scan parquet number of files read: 1 scan time: 6 ms metadata time: 0 ms size of files read: 50.7 KiB number of output rows: 16"]; 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 4 ms metadata time: 0 ms size of files read: 50.7 KiB number of output rows: 16"]; 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 5 ms metadata time: 0 ms size of files read: 50.7 KiB number of output rows: 16"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; 9->7; 10->7; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=11868]

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

ColumnarToRow

WholeStageCodegen (1)

Union

FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/parquet/execution/BIO_PAT_API_QUALITY_REPORT/cu..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>

Details

== Physical Plan ==
AdaptiveSparkPlan (13)
+- == Final Plan ==
   * HashAggregate (9)
   +- ShuffleQueryStage (8), Statistics(sizeInBytes=48.0 B, rowCount=3)
      +- Exchange (7)
         +- * HashAggregate (6)
            +- * ColumnarToRow (5)
               +- Union (4)
                  :- Scan parquet  (1)
                  :- Scan parquet  (2)
                  +- Scan parquet  (3)
+- == Initial Plan ==
   HashAggregate (12)
   +- Exchange (11)
      +- HashAggregate (10)
         +- Union (4)
            :- Scan parquet  (1)
            :- Scan parquet  (2)
            +- Scan parquet  (3)


(1) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/BIO_PAT_API_QUALITY_REPORT/current/pydc_ee4uw20u.parquet]
ReadSchema: struct<>

(2) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/BIO_PAT_API_QUALITY_REPORT/current/pydc_jnp6q5t6.parquet]
ReadSchema: struct<>

(3) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/BIO_PAT_API_QUALITY_REPORT/current/pydc_uxffhq8p.parquet]
ReadSchema: struct<>

(4) Union

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

(6) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#45232L]
Results [1]: [count#45233L]

(7) Exchange
Input [1]: [count#45233L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=11868]

(8) ShuffleQueryStage
Output [1]: [count#45233L]
Arguments: 0

(9) HashAggregate [codegen id : 2]
Input [1]: [count#45233L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#45113L]
Results [1]: [count(1)#45113L AS count#45114L]

(10) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#45232L]
Results [1]: [count#45233L]

(11) Exchange
Input [1]: [count#45233L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=11853]

(12) HashAggregate
Input [1]: [count#45233L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#45113L]
Results [1]: [count(1)#45113L AS count#45114L]

(13) AdaptiveSparkPlan
Output [1]: [count#45114L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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