SP1 - Details for Query 412

Submitted Time: 2026/04/22 08:37:50
Duration: 0.2 s
Succeeded Jobs: 441 442

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 (7)\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: 6 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 2 ms (0 ms, 0 ms, 0 ms (stage 612.0: task 522)) 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: 6 local bytes read: 351.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 6 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 96.0 B (16.0 B, 16.0 B, 16.0 B (stage 612.0: task 522)) 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)) 351.0 B (56.0 B, 59.0 B, 59.0 B (stage 612.0: task 524))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (6)\n \nduration: total (min, med, max (stageId: taskId))\n36 ms (4 ms, 6 ms, 7 ms (stage 612.0: task 523))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 33 ms (4 ms, 6 ms, 6 ms (stage 612.0: task 523)) number of output rows: 6"]; } 6 [labelType="html" label=" Union "]; 7 [labelType="html" label="Scan csv number of output rows: 0 number of files read: 1 metadata time: 0 ms size of files read: 2.0 B"]; subgraph cluster8 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 6 ms"; 9 [labelType="html" label="ColumnarToRow number of output rows: 25 number of input batches: 1"]; } 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 6 ms metadata time: 0 ms size of files read: 52.5 KiB number of output rows: 25"]; subgraph cluster11 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 6 ms"; 12 [labelType="html" label="ColumnarToRow number of output rows: 11 number of input batches: 1"]; } 13 [labelType="html" label="Scan parquet number of files read: 1 scan time: 5 ms metadata time: 0 ms size of files read: 24.6 KiB number of output rows: 11"]; subgraph cluster14 { isCluster="true"; label="WholeStageCodegen (3)\n \nduration: 6 ms"; 15 [labelType="html" label="ColumnarToRow number of output rows: 6 number of input batches: 1"]; } 16 [labelType="html" label="Scan parquet number of files read: 1 scan time: 5 ms metadata time: 0 ms size of files read: 35.4 KiB number of output rows: 6"]; subgraph cluster17 { isCluster="true"; label="WholeStageCodegen (4)\n \nduration: 6 ms"; 18 [labelType="html" label="ColumnarToRow number of output rows: 32 number of input batches: 1"]; } 19 [labelType="html" label="Scan parquet number of files read: 1 scan time: 6 ms metadata time: 0 ms size of files read: 59.9 KiB number of output rows: 32"]; subgraph cluster20 { isCluster="true"; label="WholeStageCodegen (5)\n \nduration: 6 ms"; 21 [labelType="html" label="ColumnarToRow number of output rows: 16 number of input batches: 1"]; } 22 [labelType="html" label="Scan parquet number of files read: 1 scan time: 6 ms metadata time: 0 ms size of files read: 51.9 KiB number of output rows: 16"]; 2->0; 3->2; 5->3; 6->5; 7->6; 9->6; 10->9; 12->6; 13->12; 15->6; 16->15; 18->6; 19->18; 21->6; 22->21; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (7)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=14711]

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

WholeStageCodegen (6)

Union

FileScan csv [] Batched: false, DataFilters: [], Format: CSV, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/csv/execution/empty.csv], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>

ColumnarToRow

WholeStageCodegen (1)

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

ColumnarToRow

WholeStageCodegen (2)

FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/input/depot/parquet/execution/GRP_GHM_V2025_T_API_QUALITY_R..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>

ColumnarToRow

WholeStageCodegen (3)

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

ColumnarToRow

WholeStageCodegen (4)

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

ColumnarToRow

WholeStageCodegen (5)

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

Details

== Physical Plan ==
AdaptiveSparkPlan (21)
+- == Final Plan ==
   * HashAggregate (16)
   +- ShuffleQueryStage (15), Statistics(sizeInBytes=96.0 B, rowCount=6)
      +- Exchange (14)
         +- * HashAggregate (13)
            +- Union (12)
               :- Scan csv  (1)
               :- * ColumnarToRow (3)
               :  +- Scan parquet  (2)
               :- * ColumnarToRow (5)
               :  +- Scan parquet  (4)
               :- * ColumnarToRow (7)
               :  +- Scan parquet  (6)
               :- * ColumnarToRow (9)
               :  +- Scan parquet  (8)
               +- * ColumnarToRow (11)
                  +- Scan parquet  (10)
+- == Initial Plan ==
   HashAggregate (20)
   +- Exchange (19)
      +- HashAggregate (18)
         +- Union (17)
            :- Scan csv  (1)
            :- Scan parquet  (2)
            :- Scan parquet  (4)
            :- Scan parquet  (6)
            :- Scan parquet  (8)
            +- Scan parquet  (10)


(1) Scan csv 
Output: []
Batched: false
Location: InMemoryFileIndex [file:/data/input/depot/csv/execution/empty.csv]
ReadSchema: struct<>

(2) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/VLIB_T_API_QUALITY_REPORT/current/pydc_199ad6xc.parquet]
ReadSchema: struct<>

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

(4) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/GRP_GHM_V2025_T_API_QUALITY_REPORT/current/pydc_49mddzro.parquet]
ReadSchema: struct<>

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

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

(7) ColumnarToRow [codegen id : 3]
Input: []

(8) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/MED_GIYGA_T_API_QUALITY_REPORT/current/pydc_2d4arojy.parquet]
ReadSchema: struct<>

(9) ColumnarToRow [codegen id : 4]
Input: []

(10) Scan parquet 
Output: []
Batched: true
Location: InMemoryFileIndex [file:/data/input/depot/parquet/execution/BIO_PAT_T_API_QUALITY_REPORT/current/pydc_bi661ehr.parquet]
ReadSchema: struct<>

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

(12) Union

(13) HashAggregate [codegen id : 6]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#127604L]
Results [1]: [count#127605L]

(14) Exchange
Input [1]: [count#127605L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=14711]

(15) ShuffleQueryStage
Output [1]: [count#127605L]
Arguments: 0

(16) HashAggregate [codegen id : 7]
Input [1]: [count#127605L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#127061L]
Results [1]: [count(1)#127061L AS count#127062L]

(17) Union

(18) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#127604L]
Results [1]: [count#127605L]

(19) Exchange
Input [1]: [count#127605L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=14673]

(20) HashAggregate
Input [1]: [count#127605L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#127061L]
Results [1]: [count(1)#127061L AS count#127062L]

(21) AdaptiveSparkPlan
Output [1]: [count#127062L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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