SP1 - Details for Query 3561

Submitted Time: 2026/10/13 18:30:53
Duration: 0.2 s
Succeeded Jobs: 5490 5493

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 (2)\n \nduration: 1 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 16.3 MiB number of output rows: 1 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 97.0 B number of coalesced partitions: 1"]; 4 [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: 91.0 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: 48.0 B 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: 91.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n72 ms (22 ms, 50 ms, 50 ms (stage 11136.0: task 14421))"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build total (min, med, max (stageId: taskId)) 63 ms (17 ms, 46 ms, 46 ms (stage 11136.0: task 14421)) peak memory total (min, med, max (stageId: taskId)) 512.0 KiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 11136.0: task 14422)) number of output rows: 1 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 7 [labelType="html" label=" Project "]; 8 [labelType="html" label="Filter number of output rows: 1"]; 9 [labelType="html" label="ColumnarToRow number of output rows: 98,271 number of input batches: 25"]; } 10 [labelType="html" label="Scan parquet number of files read: 2 scan time total (min, med, max (stageId: taskId)) 27 ms (7 ms, 20 ms, 20 ms (stage 11136.0: task 14421)) metadata time: 0 ms size of files read: 4.1 MiB number of output rows: 98,271"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348], functions=[sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, 10), ENSURE_REQUIREMENTS, [plan_id=527300]

HashAggregate(keys=[COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348], functions=[partial_sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)])

Project [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174 AS COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185 AS COL_9428B285_5199_4751_85B0_DC61C1638577#817359]

Filter ((COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175 <=> 020230429) AND (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187 <=> Optimisation))

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174,COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175,COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185,COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187] Batched: true, DataFilters: [(COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175 <=> 020230429), (COL_6348CDD7_7FF9_4337_B9DE_36..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/06_COMPILATION__230983], PartitionFilters: [], PushedFilters: [EqualNullSafe(COL_13692FE9_27FE_43A3_9877_314B5FA6981E,020230429), EqualNullSafe(COL_6348CDD7_7F..., ReadSchema: struct<COL_EB47ADCA_4440_4090_8691_F8499DB4555E:string,COL_13692FE9_27FE_43A3_9877_314B5FA6981E:s...

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * HashAggregate (9)
   +- AQEShuffleRead (8)
      +- ShuffleQueryStage (7), Statistics(sizeInBytes=48.0 B, rowCount=1)
         +- Exchange (6)
            +- * HashAggregate (5)
               +- * Project (4)
                  +- * Filter (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   CollectLimit (15)
   +- HashAggregate (14)
      +- Exchange (13)
         +- HashAggregate (12)
            +- Project (11)
               +- Filter (10)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/06_COMPILATION__230983]
PushedFilters: [EqualNullSafe(COL_13692FE9_27FE_43A3_9877_314B5FA6981E,020230429), EqualNullSafe(COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3,Optimisation)]
ReadSchema: struct<COL_EB47ADCA_4440_4090_8691_F8499DB4555E:string,COL_13692FE9_27FE_43A3_9877_314B5FA6981E:string,COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6:double,COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3:string>

(2) ColumnarToRow [codegen id : 1]
Input [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]

(3) Filter [codegen id : 1]
Input [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]
Condition : ((COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175 <=> 020230429) AND (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187 <=> Optimisation))

(4) Project [codegen id : 1]
Output [2]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174 AS COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185 AS COL_9428B285_5199_4751_85B0_DC61C1638577#817359]
Input [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]

(5) HashAggregate [codegen id : 1]
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, COL_9428B285_5199_4751_85B0_DC61C1638577#817359]
Keys [1]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348]
Functions [1]: [partial_sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)]
Aggregate Attributes [1]: [sum#817637]
Results [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]

(6) Exchange
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Arguments: hashpartitioning(COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, 10), ENSURE_REQUIREMENTS, [plan_id=527300]

(7) ShuffleQueryStage
Output [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Arguments: 0

(8) AQEShuffleRead
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Arguments: coalesced

(9) HashAggregate [codegen id : 2]
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Keys [1]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348]
Functions [1]: [sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)]
Aggregate Attributes [1]: [sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)#817469]
Results [3]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348 AS COL_07BB9E7B_C504_459C_B0E6_988D97678577#817454, round(sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)#817469, 2) AS COL_8F4B9872_2CF9_4F4D_9BBD_1E89C26249D8#817632, int_create(0) AS COL_0D1ECFBB_807E_48EA_AD6C_1520258809E6#817633]

(10) Filter
Input [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]
Condition : ((COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175 <=> 020230429) AND (COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187 <=> Optimisation))

(11) Project
Output [2]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174 AS COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185 AS COL_9428B285_5199_4751_85B0_DC61C1638577#817359]
Input [4]: [COL_EB47ADCA_4440_4090_8691_F8499DB4555E#817174, COL_13692FE9_27FE_43A3_9877_314B5FA6981E#817175, COL_E38AB62F_E896_4A72_BE7E_515F8BC641C6#817185, COL_6348CDD7_7FF9_4337_B9DE_365982DB3BA3#817187]

(12) HashAggregate
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, COL_9428B285_5199_4751_85B0_DC61C1638577#817359]
Keys [1]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348]
Functions [1]: [partial_sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)]
Aggregate Attributes [1]: [sum#817637]
Results [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]

(13) Exchange
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Arguments: hashpartitioning(COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, 10), ENSURE_REQUIREMENTS, [plan_id=527277]

(14) HashAggregate
Input [2]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348, sum#817638]
Keys [1]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348]
Functions [1]: [sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)]
Aggregate Attributes [1]: [sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)#817469]
Results [3]: [COL_9FC31F8C_5115_40D2_B7C4_A36AF2F1962B#817348 AS COL_07BB9E7B_C504_459C_B0E6_988D97678577#817454, round(sum(COL_9428B285_5199_4751_85B0_DC61C1638577#817359)#817469, 2) AS COL_8F4B9872_2CF9_4F4D_9BBD_1E89C26249D8#817632, int_create(0) AS COL_0D1ECFBB_807E_48EA_AD6C_1520258809E6#817633]

(15) CollectLimit
Input [3]: [COL_07BB9E7B_C504_459C_B0E6_988D97678577#817454, COL_8F4B9872_2CF9_4F4D_9BBD_1E89C26249D8#817632, COL_0D1ECFBB_807E_48EA_AD6C_1520258809E6#817633]
Arguments: 500000

(16) AdaptiveSparkPlan
Output [3]: [COL_07BB9E7B_C504_459C_B0E6_988D97678577#817454, COL_8F4B9872_2CF9_4F4D_9BBD_1E89C26249D8#817632, COL_0D1ECFBB_807E_48EA_AD6C_1520258809E6#817633]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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