EVAL1_SPC1 - Details for Query 112

Submitted Time: 2026/02/19 14:16:19
Duration: 0.4 s
Succeeded Jobs: 118 121 122

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 (3)\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: 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: 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: 16.0 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: 59.0 B"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 8 ms"; 5 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 7 ms peak memory: 0.0 B number of output rows: 1 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 1 ms peak memory: 256.0 KiB number of output rows: 548 number of sort fallback tasks: 0 avg hash probes per key: 0"]; } 7 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 6.3 KiB number of coalesced partitions: 1"]; 8 [labelType="html" label="Exchange shuffle records written: 548 local merged chunks fetched: 0 shuffle write time: 2 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: 548 local bytes read: 5.9 KiB 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: 17.1 KiB local merged bytes read: 0.0 B number of partitions: 10 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 5.9 KiB"]; subgraph cluster9 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 94 ms"; 10 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 14 ms peak memory: 256.0 KiB number of output rows: 548 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 11 [labelType="html" label=" Project "]; 12 [labelType="html" label="ColumnarToRow number of output rows: 717 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: 26.2 KiB number of output rows: 717"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; 10->8; 11->10; 12->11; 13->12; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (3)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1804]

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

HashAggregate(keys=[COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355], functions=[])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355, 10), ENSURE_REQUIREMENTS, [plan_id=1717]

HashAggregate(keys=[COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355], functions=[])

Project [str_join(array(IN_UNIT_3349#10117, OUT_UNIT_3350#10120), >) AS COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [IN_UNIT_3349#10117,OUT_UNIT_3350#10120] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/VISIT_3342], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<IN_UNIT_3349:string,OUT_UNIT_3350:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (20)
+- == Final Plan ==
   * HashAggregate (12)
   +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (10)
         +- * HashAggregate (9)
            +- * HashAggregate (8)
               +- AQEShuffleRead (7)
                  +- ShuffleQueryStage (6), Statistics(sizeInBytes=17.1 KiB, rowCount=548)
                     +- Exchange (5)
                        +- * HashAggregate (4)
                           +- * Project (3)
                              +- * ColumnarToRow (2)
                                 +- Scan parquet  (1)
+- == Initial Plan ==
   HashAggregate (19)
   +- Exchange (18)
      +- HashAggregate (17)
         +- HashAggregate (16)
            +- Exchange (15)
               +- HashAggregate (14)
                  +- Project (13)
                     +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [IN_UNIT_3349#10117, OUT_UNIT_3350#10120]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/VISIT_3342]
ReadSchema: struct<IN_UNIT_3349:string,OUT_UNIT_3350:string>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [IN_UNIT_3349#10117, OUT_UNIT_3350#10120]

(3) Project [codegen id : 1]
Output [1]: [str_join(array(IN_UNIT_3349#10117, OUT_UNIT_3350#10120), >) AS COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Input [2]: [IN_UNIT_3349#10117, OUT_UNIT_3350#10120]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]

(5) Exchange
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Arguments: hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355, 10), ENSURE_REQUIREMENTS, [plan_id=1717]

(6) ShuffleQueryStage
Output [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Arguments: 0

(7) AQEShuffleRead
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Functions: []
Aggregate Attributes: []
Results: []

(9) HashAggregate [codegen id : 2]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10607L]
Results [1]: [count#10608L]

(10) Exchange
Input [1]: [count#10608L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1804]

(11) ShuffleQueryStage
Output [1]: [count#10608L]
Arguments: 1

(12) HashAggregate [codegen id : 3]
Input [1]: [count#10608L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10522L]
Results [1]: [count(1)#10522L AS count#10523L]

(13) Project
Output [1]: [str_join(array(IN_UNIT_3349#10117, OUT_UNIT_3350#10120), >) AS COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Input [2]: [IN_UNIT_3349#10117, OUT_UNIT_3350#10120]

(14) HashAggregate
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]

(15) Exchange
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Arguments: hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355, 10), ENSURE_REQUIREMENTS, [plan_id=1690]

(16) HashAggregate
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#10355]
Functions: []
Aggregate Attributes: []
Results: []

(17) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10607L]
Results [1]: [count#10608L]

(18) Exchange
Input [1]: [count#10608L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1694]

(19) HashAggregate
Input [1]: [count#10608L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10522L]
Results [1]: [count(1)#10522L AS count#10523L]

(20) AdaptiveSparkPlan
Output [1]: [count#10523L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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