SP1 - Details for Query 190

Submitted Time: 2026/06/25 15:44:29
Duration: 0.5 s
Succeeded Jobs: 237 244

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: 5 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 1 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: 66.0 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: 64.0 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: 24.0 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: 64.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 22 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 12 ms peak memory: 256.0 KiB 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="ColumnarToRow number of output rows: 1,455 number of input batches: 1"]; } 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 8 ms metadata time: 0 ms size of files read: 312.5 KiB number of output rows: 1,455"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L], functions=[sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, 10), ENSURE_REQUIREMENTS, [plan_id=11079]

HashAggregate(keys=[COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L], functions=[partial_sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)])

Project [COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L AS COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, int_if_with_rule(CASE WHEN isnull(Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT)) THEN false ELSE Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT) END, 1, 0) AS COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383,COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/MATCHING_ANALYS_405366], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214:string,COL_35375170_B542_49DE_AFA2_0A2D31967891:b...

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- AQEShuffleRead (7)
      +- ShuffleQueryStage (6), Statistics(sizeInBytes=24.0 B, rowCount=1)
         +- Exchange (5)
            +- * HashAggregate (4)
               +- * Project (3)
                  +- * ColumnarToRow (2)
                     +- Scan parquet  (1)
+- == Initial Plan ==
   CollectLimit (13)
   +- HashAggregate (12)
      +- Exchange (11)
         +- HashAggregate (10)
            +- Project (9)
               +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/MATCHING_ANALYS_405366]
ReadSchema: struct<COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214:string,COL_35375170_B542_49DE_AFA2_0A2D31967891:bigint>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L]

(3) Project [codegen id : 1]
Output [2]: [COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L AS COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, int_if_with_rule(CASE WHEN isnull(Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT)) THEN false ELSE Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT) END, 1, 0) AS COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759]
Input [2]: [COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L]

(4) HashAggregate [codegen id : 1]
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759]
Keys [1]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L]
Functions [1]: [partial_sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)]
Aggregate Attributes [1]: [sum#58954L]
Results [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]

(5) Exchange
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Arguments: hashpartitioning(COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, 10), ENSURE_REQUIREMENTS, [plan_id=11079]

(6) ShuffleQueryStage
Output [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Keys [1]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L]
Functions [1]: [sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)]
Aggregate Attributes [1]: [sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)#58019L]
Results [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L AS COL_AE5E14F3_A36C_4811_B370_269C4D39FB66#58906L, bigint_to_dec(sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)#58019L) AS COL_72304AA6_D03F_47C8_823B_7960977EBD07#58907]

(9) Project
Output [2]: [COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L AS COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, int_if_with_rule(CASE WHEN isnull(Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT)) THEN false ELSE Contains(COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, VACANT) END, 1, 0) AS COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759]
Input [2]: [COL_280ABAAC_E0C3_4D6B_9FFD_C2F4C25A3214#49383, COL_35375170_B542_49DE_AFA2_0A2D31967891#49407L]

(10) HashAggregate
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759]
Keys [1]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L]
Functions [1]: [partial_sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)]
Aggregate Attributes [1]: [sum#58954L]
Results [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]

(11) Exchange
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Arguments: hashpartitioning(COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, 10), ENSURE_REQUIREMENTS, [plan_id=11060]

(12) HashAggregate
Input [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L, sum#58955L]
Keys [1]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L]
Functions [1]: [sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)]
Aggregate Attributes [1]: [sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)#58019L]
Results [2]: [COL_32482042_4C68_423E_9E40_347021FD7E8D#52120L AS COL_AE5E14F3_A36C_4811_B370_269C4D39FB66#58906L, bigint_to_dec(sum(COL_0CCC0A4F_004C_4801_BE71_47CB013719DE#57759)#58019L) AS COL_72304AA6_D03F_47C8_823B_7960977EBD07#58907]

(13) CollectLimit
Input [2]: [COL_AE5E14F3_A36C_4811_B370_269C4D39FB66#58906L, COL_72304AA6_D03F_47C8_823B_7960977EBD07#58907]
Arguments: 500000

(14) AdaptiveSparkPlan
Output [2]: [COL_AE5E14F3_A36C_4811_B370_269C4D39FB66#58906L, COL_72304AA6_D03F_47C8_823B_7960977EBD07#58907]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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