hdh-spark-job - Details for Query 1516

Submitted Time: 2026/10/23 14:48:17
Duration: 0.2 s
Succeeded Jobs: 1527 1531

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: 2 ms"; 2 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 64.2 MiB number of output rows: 2 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 3 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 152.0 B number of coalesced partitions: 1"]; 4 [labelType="html" label="Exchange shuffle records written: 2 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: 2 local bytes read: 151.0 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: 72.0 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: 151.0 B"]; subgraph cluster5 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 16 ms"; 6 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 3 ms peak memory: 256.0 KiB number of output rows: 2 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: 21 number of input batches: 1"]; } 9 [labelType="html" label="Scan parquet number of files read: 1 scan time: 3 ms metadata time: 0 ms size of files read: 9.1 KiB number of output rows: 21"]; 2->0; 3->2; 4->3; 6->4; 7->6; 8->7; 9->8; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, 10), ENSURE_REQUIREMENTS, [plan_id=41784]

HashAggregate(keys=[COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139], functions=[partial_count(1)])

Project [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912 AS COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/PIPELINES_MAEST_326581], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_8CAAA987_B544_42CD_BE12_79AD453652C2:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * HashAggregate (8)
   +- AQEShuffleRead (7)
      +- ShuffleQueryStage (6), Statistics(sizeInBytes=72.0 B, rowCount=2)
         +- 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 [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/PIPELINES_MAEST_326581]
ReadSchema: struct<COL_8CAAA987_B544_42CD_BE12_79AD453652C2:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912]

(3) Project [codegen id : 1]
Output [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912 AS COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Input [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Keys [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#791441L]
Results [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]

(5) Exchange
Input [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Arguments: hashpartitioning(COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, 10), ENSURE_REQUIREMENTS, [plan_id=41784]

(6) ShuffleQueryStage
Output [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Keys [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#791293L]
Results [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139 AS COL_6466A691_DF60_48B6_AA5E_9CCA523F860E#791398, count(1)#791293L AS COL_9291D863_0375_43EE_B483_14A0039ACBB5#791399L]

(9) Project
Output [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912 AS COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Input [1]: [COL_8CAAA987_B544_42CD_BE12_79AD453652C2#790912]

(10) HashAggregate
Input [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Keys [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#791441L]
Results [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]

(11) Exchange
Input [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Arguments: hashpartitioning(COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, 10), ENSURE_REQUIREMENTS, [plan_id=41765]

(12) HashAggregate
Input [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139, count#791442L]
Keys [1]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#791293L]
Results [2]: [COL_F66F5399_BFF1_4DC2_A966_03BC926797C2#791139 AS COL_6466A691_DF60_48B6_AA5E_9CCA523F860E#791398, count(1)#791293L AS COL_9291D863_0375_43EE_B483_14A0039ACBB5#791399L]

(13) CollectLimit
Input [2]: [COL_6466A691_DF60_48B6_AA5E_9CCA523F860E#791398, COL_9291D863_0375_43EE_B483_14A0039ACBB5#791399L]
Arguments: 500000

(14) AdaptiveSparkPlan
Output [2]: [COL_6466A691_DF60_48B6_AA5E_9CCA523F860E#791398, COL_9291D863_0375_43EE_B483_14A0039ACBB5#791399L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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