hdh-spark-job - Details for Query 1540

Submitted Time: 2026/10/23 14:48:20
Duration: 94 ms
Succeeded Jobs: 1564 1566

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: 4 ms"; 3 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 64.2 MiB number of output rows: 14 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 4 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 617.0 B number of coalesced partitions: 1"]; 5 [labelType="html" label="Exchange shuffle records written: 14 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: 14 local bytes read: 602.0 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: 456.0 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: 602.0 B"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 24 ms"; 7 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 21 ms peak memory: 256.0 KiB number of output rows: 14 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="ColumnarToRow number of output rows: 2,873 number of input batches: 1"]; } 10 [labelType="html" label="Scan parquet number of files read: 1 scan time: 19 ms metadata time: 0 ms size of files read: 446.0 KiB number of output rows: 2,873"]; 1->0; 3->1; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

TakeOrderedAndProject(limit=500000, orderBy=[COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L DESC NULLS LAST], output=[COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819,COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L])

HashAggregate(keys=[COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, 10), ENSURE_REQUIREMENTS, [plan_id=42619]

HashAggregate(keys=[COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689], functions=[partial_count(1)])

Project [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217 AS COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/LES_DEPOTS_INFO_326686], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (15)
+- == Final Plan ==
   TakeOrderedAndProject (9)
   +- * HashAggregate (8)
      +- AQEShuffleRead (7)
         +- ShuffleQueryStage (6), Statistics(sizeInBytes=456.0 B, rowCount=14)
            +- Exchange (5)
               +- * HashAggregate (4)
                  +- * Project (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   TakeOrderedAndProject (14)
   +- HashAggregate (13)
      +- Exchange (12)
         +- HashAggregate (11)
            +- Project (10)
               +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/LES_DEPOTS_INFO_326686]
ReadSchema: struct<COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217]

(3) Project [codegen id : 1]
Output [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217 AS COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Input [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Keys [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#794836L]
Results [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]

(5) Exchange
Input [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Arguments: hashpartitioning(COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, 10), ENSURE_REQUIREMENTS, [plan_id=42619]

(6) ShuffleQueryStage
Output [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Keys [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#794770L]
Results [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689 AS COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, count(1)#794770L AS COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]

(9) TakeOrderedAndProject
Input [2]: [COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]
Arguments: 500000, [COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L DESC NULLS LAST], [COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]

(10) Project
Output [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217 AS COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Input [1]: [COL_2A78D2D0_DDB9_4960_AE9D_83A2583A0E9E#794217]

(11) HashAggregate
Input [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Keys [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#794836L]
Results [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]

(12) Exchange
Input [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Arguments: hashpartitioning(COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, 10), ENSURE_REQUIREMENTS, [plan_id=42600]

(13) HashAggregate
Input [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689, count#794837L]
Keys [1]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#794770L]
Results [2]: [COL_BA5B207D_30B4_48AD_AA05_7CB4918E9768#794689 AS COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, count(1)#794770L AS COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]

(14) TakeOrderedAndProject
Input [2]: [COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]
Arguments: 500000, [COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L DESC NULLS LAST], [COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]

(15) AdaptiveSparkPlan
Output [2]: [COL_89DBAFAC_68BF_4043_B293_D195E34573A9#794819, COL_4407C1E6_C8F7_402A_A60C_FBFAC36B35CB#794820L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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