SP1 - Details for Query 247

Submitted Time: 2026/02/20 08:08:42
Duration: 0.2 s
Succeeded Jobs: 360 362

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

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label=" TakeOrderedAndProject "]; subgraph cluster2 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 12 ms"; 3 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 2 ms peak memory: 16.3 MiB number of output rows: 1,518 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 4 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 18.3 KiB number of coalesced partitions: 1"]; 5 [labelType="html" label="Exchange shuffle records written: 1,518 local merged chunks fetched: 0 shuffle write time: 1 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: 1,518 local bytes read: 17.7 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: 47.4 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: 17.7 KiB"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 28 ms"; 7 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 18 ms peak memory: 256.0 KiB number of output rows: 1,518 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Filter number of output rows: 12,405"]; 10 [labelType="html" label="ColumnarToRow number of output rows: 15,856 number of input batches: 4"]; } 11 [labelType="html" label="Scan parquet number of files read: 1 scan time: 3 ms metadata time: 0 ms size of files read: 785.5 KiB number of output rows: 15,856"]; 1->0; 3->1; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; 11->10; }

AdaptiveSparkPlan isFinalPlan=true

TakeOrderedAndProject(limit=500000, orderBy=[COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093 ASC NULLS FIRST], output=[COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093,COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L])

HashAggregate(keys=[COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, 10), ENSURE_REQUIREMENTS, [plan_id=7682]

HashAggregate(keys=[COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849], functions=[partial_count(1)])

Project [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519 AS COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]

Filter NOT CASE WHEN isnull(StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z)) THEN false ELSE StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z) END

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519] Batched: true, DataFilters: [NOT CASE WHEN isnull(StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z)) THEN false ..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/RESUME_STANDARD_16262], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (17)
+- == Final Plan ==
   TakeOrderedAndProject (10)
   +- * HashAggregate (9)
      +- AQEShuffleRead (8)
         +- ShuffleQueryStage (7), Statistics(sizeInBytes=47.4 KiB, rowCount=1.52E+3)
            +- Exchange (6)
               +- * HashAggregate (5)
                  +- * Project (4)
                     +- * Filter (3)
                        +- * ColumnarToRow (2)
                           +- Scan parquet  (1)
+- == Initial Plan ==
   TakeOrderedAndProject (16)
   +- HashAggregate (15)
      +- Exchange (14)
         +- HashAggregate (13)
            +- Project (12)
               +- Filter (11)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/RESUME_STANDARD_16262]
ReadSchema: struct<COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]

(3) Filter [codegen id : 1]
Input [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]
Condition : NOT CASE WHEN isnull(StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z)) THEN false ELSE StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z) END

(4) Project [codegen id : 1]
Output [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519 AS COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Input [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]

(5) HashAggregate [codegen id : 1]
Input [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Keys [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#108519L]
Results [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]

(6) Exchange
Input [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Arguments: hashpartitioning(COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, 10), ENSURE_REQUIREMENTS, [plan_id=7682]

(7) ShuffleQueryStage
Output [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Arguments: 0

(8) AQEShuffleRead
Input [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Arguments: coalesced

(9) HashAggregate [codegen id : 2]
Input [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Keys [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#108127L]
Results [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849 AS COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, count(1)#108127L AS COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]

(10) TakeOrderedAndProject
Input [2]: [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]
Arguments: 500000, [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093 ASC NULLS FIRST], [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]

(11) Filter
Input [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]
Condition : NOT CASE WHEN isnull(StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z)) THEN false ELSE StartsWith(COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519, Z) END

(12) Project
Output [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519 AS COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Input [1]: [COL_3F8D10CE_2046_44B0_8BF3_1F783CD5191F#107519]

(13) HashAggregate
Input [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Keys [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#108519L]
Results [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]

(14) Exchange
Input [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Arguments: hashpartitioning(COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, 10), ENSURE_REQUIREMENTS, [plan_id=7659]

(15) HashAggregate
Input [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849, count#108520L]
Keys [1]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#108127L]
Results [2]: [COL_618849B5_07C7_4A90_A24C_76D755E4DC59#107849 AS COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, count(1)#108127L AS COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]

(16) TakeOrderedAndProject
Input [2]: [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]
Arguments: 500000, [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093 ASC NULLS FIRST], [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]

(17) AdaptiveSparkPlan
Output [2]: [COL_FEC2F711_997D_4A5F_B48C_467CD8CB0210#108093, COL_A266B709_9C56_4B64_98FE_A9AFE339145C#108169L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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