EVAL1_SPC1 - Details for Query 691

Submitted Time: 2026/02/20 13:27:15
Duration: 0.3 s
Succeeded Jobs: 849 850

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

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label="ObjectHashAggregate number of output rows: 1 time in aggregation build: 32 ms spill size: 0.0 B number of sort fallback tasks: 0"]; 2 [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: 85.0 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: 112.0 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: 85.0 B"]; 3 [labelType="html" label="ObjectHashAggregate number of output rows: 1 time in aggregation build: 149 ms spill size: 0.0 B number of sort fallback tasks: 0"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 145 ms"; 5 [labelType="html" label=" Project "]; 6 [labelType="html" label="ColumnarToRow number of output rows: 189 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: 11.3 KiB number of output rows: 189"]; 1->0; 2->1; 3->2; 5->3; 6->5; 7->6; }

AdaptiveSparkPlan isFinalPlan=true

ObjectHashAggregate(keys=[], functions=[count(COL_EXTERNAL_DEATH__3340#105505), min(COL_EXTERNAL_DEATH__3340#105505), max(COL_EXTERNAL_DEATH__3340#105505), sum(COL_EXTERNAL_DEATH__3340#105505), avg(COL_EXTERNAL_DEATH__3340#105505), percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))])

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=16454]

ObjectHashAggregate(keys=[], functions=[partial_count(COL_EXTERNAL_DEATH__3340#105505), partial_min(COL_EXTERNAL_DEATH__3340#105505), partial_max(COL_EXTERNAL_DEATH__3340#105505), partial_sum(COL_EXTERNAL_DEATH__3340#105505), partial_avg(COL_EXTERNAL_DEATH__3340#105505), partial_percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), partial_stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))])

Project [EXTERNAL_DEATH__3340#105428 AS COL_EXTERNAL_DEATH__3340#105505]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [EXTERNAL_DEATH__3340#105428] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/PATIENT_3332], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<EXTERNAL_DEATH__3340:int>

Details

== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
   ObjectHashAggregate (7)
   +- ShuffleQueryStage (6), Statistics(sizeInBytes=112.0 B, rowCount=1)
      +- Exchange (5)
         +- ObjectHashAggregate (4)
            +- * Project (3)
               +- * ColumnarToRow (2)
                  +- Scan parquet  (1)
+- == Initial Plan ==
   ObjectHashAggregate (11)
   +- Exchange (10)
      +- ObjectHashAggregate (9)
         +- Project (8)
            +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [EXTERNAL_DEATH__3340#105428]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/PATIENT_3332]
ReadSchema: struct<EXTERNAL_DEATH__3340:int>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [EXTERNAL_DEATH__3340#105428]

(3) Project [codegen id : 1]
Output [1]: [EXTERNAL_DEATH__3340#105428 AS COL_EXTERNAL_DEATH__3340#105505]
Input [1]: [EXTERNAL_DEATH__3340#105428]

(4) ObjectHashAggregate
Input [1]: [COL_EXTERNAL_DEATH__3340#105505]
Keys: []
Functions [7]: [partial_count(COL_EXTERNAL_DEATH__3340#105505), partial_min(COL_EXTERNAL_DEATH__3340#105505), partial_max(COL_EXTERNAL_DEATH__3340#105505), partial_sum(COL_EXTERNAL_DEATH__3340#105505), partial_avg(COL_EXTERNAL_DEATH__3340#105505), partial_percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), partial_stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))]
Aggregate Attributes [10]: [count#105984L, min#105985, max#105986, sum#105987L, sum#105988, count#105989L, buf#105990, n#105953, avg#105954, m2#105955]
Results [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]

(5) Exchange
Input [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=16454]

(6) ShuffleQueryStage
Output [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]
Arguments: 0

(7) ObjectHashAggregate
Input [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]
Keys: []
Functions [7]: [count(COL_EXTERNAL_DEATH__3340#105505), min(COL_EXTERNAL_DEATH__3340#105505), max(COL_EXTERNAL_DEATH__3340#105505), sum(COL_EXTERNAL_DEATH__3340#105505), avg(COL_EXTERNAL_DEATH__3340#105505), percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))]
Aggregate Attributes [7]: [count(COL_EXTERNAL_DEATH__3340#105505)#105905L, min(COL_EXTERNAL_DEATH__3340#105505)#105908, max(COL_EXTERNAL_DEATH__3340#105505)#105910, sum(COL_EXTERNAL_DEATH__3340#105505)#105912L, avg(COL_EXTERNAL_DEATH__3340#105505)#105914, percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0)#105944, stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))#105925]
Results [7]: [count(COL_EXTERNAL_DEATH__3340#105505)#105905L AS COL_EXTERNAL_DEATH__3340_COUNT#105907L, min(COL_EXTERNAL_DEATH__3340#105505)#105908 AS COL_EXTERNAL_DEATH__3340_MIN#105909, max(COL_EXTERNAL_DEATH__3340#105505)#105910 AS COL_EXTERNAL_DEATH__3340_MAX#105911, sum(COL_EXTERNAL_DEATH__3340#105505)#105912L AS COL_EXTERNAL_DEATH__3340_SUM#105913L, avg(COL_EXTERNAL_DEATH__3340#105505)#105914 AS COL_EXTERNAL_DEATH__3340_AVG#105915, percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0)#105944 AS COL_EXTERNAL_DEATH__3340_MEDIAN#105916, stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))#105925 AS COL_EXTERNAL_DEATH__3340_STDDEV_POP#105926]

(8) Project
Output [1]: [EXTERNAL_DEATH__3340#105428 AS COL_EXTERNAL_DEATH__3340#105505]
Input [1]: [EXTERNAL_DEATH__3340#105428]

(9) ObjectHashAggregate
Input [1]: [COL_EXTERNAL_DEATH__3340#105505]
Keys: []
Functions [7]: [partial_count(COL_EXTERNAL_DEATH__3340#105505), partial_min(COL_EXTERNAL_DEATH__3340#105505), partial_max(COL_EXTERNAL_DEATH__3340#105505), partial_sum(COL_EXTERNAL_DEATH__3340#105505), partial_avg(COL_EXTERNAL_DEATH__3340#105505), partial_percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), partial_stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))]
Aggregate Attributes [10]: [count#105984L, min#105985, max#105986, sum#105987L, sum#105988, count#105989L, buf#105990, n#105953, avg#105954, m2#105955]
Results [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]

(10) Exchange
Input [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=16437]

(11) ObjectHashAggregate
Input [10]: [count#105991L, min#105992, max#105993, sum#105994L, sum#105995, count#105996L, buf#105997, n#105958, avg#105959, m2#105960]
Keys: []
Functions [7]: [count(COL_EXTERNAL_DEATH__3340#105505), min(COL_EXTERNAL_DEATH__3340#105505), max(COL_EXTERNAL_DEATH__3340#105505), sum(COL_EXTERNAL_DEATH__3340#105505), avg(COL_EXTERNAL_DEATH__3340#105505), percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0), stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))]
Aggregate Attributes [7]: [count(COL_EXTERNAL_DEATH__3340#105505)#105905L, min(COL_EXTERNAL_DEATH__3340#105505)#105908, max(COL_EXTERNAL_DEATH__3340#105505)#105910, sum(COL_EXTERNAL_DEATH__3340#105505)#105912L, avg(COL_EXTERNAL_DEATH__3340#105505)#105914, percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0)#105944, stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))#105925]
Results [7]: [count(COL_EXTERNAL_DEATH__3340#105505)#105905L AS COL_EXTERNAL_DEATH__3340_COUNT#105907L, min(COL_EXTERNAL_DEATH__3340#105505)#105908 AS COL_EXTERNAL_DEATH__3340_MIN#105909, max(COL_EXTERNAL_DEATH__3340#105505)#105910 AS COL_EXTERNAL_DEATH__3340_MAX#105911, sum(COL_EXTERNAL_DEATH__3340#105505)#105912L AS COL_EXTERNAL_DEATH__3340_SUM#105913L, avg(COL_EXTERNAL_DEATH__3340#105505)#105914 AS COL_EXTERNAL_DEATH__3340_AVG#105915, percentile_approx(COL_EXTERNAL_DEATH__3340#105505, 0.5, 10000, 0, 0)#105944 AS COL_EXTERNAL_DEATH__3340_MEDIAN#105916, stddev_pop(cast(COL_EXTERNAL_DEATH__3340#105505 as double))#105925 AS COL_EXTERNAL_DEATH__3340_STDDEV_POP#105926]

(12) AdaptiveSparkPlan
Output [7]: [COL_EXTERNAL_DEATH__3340_COUNT#105907L, COL_EXTERNAL_DEATH__3340_MIN#105909, COL_EXTERNAL_DEATH__3340_MAX#105911, COL_EXTERNAL_DEATH__3340_SUM#105913L, COL_EXTERNAL_DEATH__3340_AVG#105915, COL_EXTERNAL_DEATH__3340_MEDIAN#105916, COL_EXTERNAL_DEATH__3340_STDDEV_POP#105926]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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