EVAL1_SPC1 - Details for Query 317

Submitted Time: 2026/02/20 08:02:05
Duration: 0.3 s
Succeeded Jobs: 395 396

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label="SortAggregate number of output rows: 1"]; 2 [labelType="html" label="Exchange shuffle records written: 3 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 2 ms (0 ms, 0 ms, 1 ms (stage 492.0: task 504)) 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: 182.0 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)) 120.0 B (40.0 B, 40.0 B, 40.0 B (stage 492.0: task 506)) 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)) 182.0 B (58.0 B, 58.0 B, 66.0 B (stage 492.0: task 505))"]; 3 [labelType="html" label="SortAggregate number of output rows: 3"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n129 ms (41 ms, 41 ms, 47 ms (stage 492.0: task 505))"; 5 [labelType="html" label=" Project "]; 6 [labelType="html" label="ColumnarToRow number of output rows: 9,522 number of input batches: 3"]; } 7 [labelType="html" label="Scan parquet number of files read: 1 scan time total (min, med, max (stageId: taskId)) 14 ms (4 ms, 4 ms, 6 ms (stage 492.0: task 505)) metadata time: 0 ms size of files read: 9.4 MiB number of output rows: 9,522"]; 1->0; 2->1; 3->2; 5->3; 6->5; 7->6; }

AdaptiveSparkPlan isFinalPlan=true

SortAggregate(key=[], functions=[count(1), count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)])

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=6748]

SortAggregate(key=[], functions=[partial_count(1), partial_count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)])

Project [VISIT_UNIT_ID_3245#43468 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [VISIT_UNIT_ID_3245#43468] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/DOCUMENT_3240], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<VISIT_UNIT_ID_3245:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
   SortAggregate (7)
   +- ShuffleQueryStage (6), Statistics(sizeInBytes=120.0 B, rowCount=3)
      +- Exchange (5)
         +- SortAggregate (4)
            +- * Project (3)
               +- * ColumnarToRow (2)
                  +- Scan parquet  (1)
+- == Initial Plan ==
   SortAggregate (11)
   +- Exchange (10)
      +- SortAggregate (9)
         +- Project (8)
            +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [VISIT_UNIT_ID_3245#43468]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/DOCUMENT_3240]
ReadSchema: struct<VISIT_UNIT_ID_3245:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [VISIT_UNIT_ID_3245#43468]

(3) Project [codegen id : 1]
Output [1]: [VISIT_UNIT_ID_3245#43468 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674]
Input [1]: [VISIT_UNIT_ID_3245#43468]

(4) SortAggregate
Input [1]: [COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674]
Keys: []
Functions [4]: [partial_count(1), partial_count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)]
Aggregate Attributes [4]: [count#43747L, count#43748L, min#43749, max#43750]
Results [4]: [count#43751L, count#43752L, min#43753, max#43754]

(5) Exchange
Input [4]: [count#43751L, count#43752L, min#43753, max#43754]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=6748]

(6) ShuffleQueryStage
Output [4]: [count#43751L, count#43752L, min#43753, max#43754]
Arguments: 0

(7) SortAggregate
Input [4]: [count#43751L, count#43752L, min#43753, max#43754]
Keys: []
Functions [4]: [count(1), count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)]
Aggregate Attributes [4]: [count(1)#43708L, count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43711L, min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43714, max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43716]
Results [4]: [count(1)#43708L AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D1#43710L, count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43711L AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D2#43713L, min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43714 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D4#43715, max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43716 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D5#43717]

(8) Project
Output [1]: [VISIT_UNIT_ID_3245#43468 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674]
Input [1]: [VISIT_UNIT_ID_3245#43468]

(9) SortAggregate
Input [1]: [COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674]
Keys: []
Functions [4]: [partial_count(1), partial_count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), partial_max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)]
Aggregate Attributes [4]: [count#43747L, count#43748L, min#43749, max#43750]
Results [4]: [count#43751L, count#43752L, min#43753, max#43754]

(10) Exchange
Input [4]: [count#43751L, count#43752L, min#43753, max#43754]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=6731]

(11) SortAggregate
Input [4]: [count#43751L, count#43752L, min#43753, max#43754]
Keys: []
Functions [4]: [count(1), count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674), max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)]
Aggregate Attributes [4]: [count(1)#43708L, count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43711L, min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43714, max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43716]
Results [4]: [count(1)#43708L AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D1#43710L, count(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43711L AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D2#43713L, min(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43714 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D4#43715, max(COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D#43674)#43716 AS COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D5#43717]

(12) AdaptiveSparkPlan
Output [4]: [COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D1#43710L, COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D2#43713L, COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D4#43715, COL_8FADC0CC_2246_48BF_96B6_37B8BA1E1C0D5#43717]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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