hdh-spark-job - Details for Query 1520

Submitted Time: 2026/10/23 14:48:17
Duration: 0.1 s
Succeeded Jobs: 1534 1538

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: 0 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label=" Project "]; 4 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 5 [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: 1 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 64.0 B"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 29 ms"; 7 [labelType="html" label="HashAggregate time in aggregation build: 29 ms number of output rows: 1"]; 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: 28 ms metadata time: 0 ms size of files read: 446.0 KiB number of output rows: 2,873"]; 2->0; 3->2; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

Project [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L)), 100.0)), 2)), %)) AS COL_EE41E015_A306_4A1B_B832_0F8FAD31758B#792064]

Project [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, bigint_sum(array(COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L)) AS COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L]

HashAggregate(keys=[], functions=[sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=42011]

HashAggregate(keys=[], functions=[partial_sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), partial_sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)])

Project [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670 AS COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671 AS COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670,COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/LES_DEPOTS_INFO_326686], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA:int,COL_50A79741_6B40_4CAF_92C4_273F499807B8:int>

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * Project (9)
   +- * Project (8)
      +- * HashAggregate (7)
         +- ShuffleQueryStage (6), Statistics(sizeInBytes=24.0 B, rowCount=1)
            +- Exchange (5)
               +- * HashAggregate (4)
                  +- * Project (3)
                     +- * ColumnarToRow (2)
                        +- Scan parquet  (1)
+- == Initial Plan ==
   Project (15)
   +- Project (14)
      +- HashAggregate (13)
         +- Exchange (12)
            +- HashAggregate (11)
               +- Project (10)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/LES_DEPOTS_INFO_326686]
ReadSchema: struct<COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA:int,COL_50A79741_6B40_4CAF_92C4_273F499807B8:int>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671]

(3) Project [codegen id : 1]
Output [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670 AS COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671 AS COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967]
Input [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671]

(4) HashAggregate [codegen id : 1]
Input [2]: [COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966, COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967]
Keys: []
Functions [2]: [partial_sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), partial_sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)]
Aggregate Attributes [2]: [sum#792069L, sum#792070L]
Results [2]: [sum#792071L, sum#792072L]

(5) Exchange
Input [2]: [sum#792071L, sum#792072L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=42011]

(6) ShuffleQueryStage
Output [2]: [sum#792071L, sum#792072L]
Arguments: 0

(7) HashAggregate [codegen id : 2]
Input [2]: [sum#792071L, sum#792072L]
Keys: []
Functions [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)]
Aggregate Attributes [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966)#792018L, sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)#792020L]
Results [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966)#792018L AS COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)#792020L AS COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L]

(8) Project [codegen id : 2]
Output [3]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, bigint_sum(array(COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L)) AS COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L]
Input [2]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L]

(9) Project [codegen id : 2]
Output [4]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L)), 100.0)), 2)),  %)) AS COL_EE41E015_A306_4A1B_B832_0F8FAD31758B#792064]
Input [3]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L]

(10) Project
Output [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670 AS COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671 AS COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967]
Input [2]: [COL_EBF9BF91_8BCF_4FB5_9AED_F613550778DA#791670, COL_50A79741_6B40_4CAF_92C4_273F499807B8#791671]

(11) HashAggregate
Input [2]: [COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966, COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967]
Keys: []
Functions [2]: [partial_sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), partial_sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)]
Aggregate Attributes [2]: [sum#792069L, sum#792070L]
Results [2]: [sum#792071L, sum#792072L]

(12) Exchange
Input [2]: [sum#792071L, sum#792072L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=41992]

(13) HashAggregate
Input [2]: [sum#792071L, sum#792072L]
Keys: []
Functions [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966), sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)]
Aggregate Attributes [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966)#792018L, sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)#792020L]
Results [2]: [sum(COL_7D297DBD_19BC_4D9C_9018_B1D5D79A4B80#791966)#792018L AS COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, sum(COL_0FDCAEA0_CEB0_4990_9578_5E1E7525AF6B#791967)#792020L AS COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L]

(14) Project
Output [3]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, bigint_sum(array(COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L)) AS COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L]
Input [2]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L]

(15) Project
Output [4]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L, str_concat(array(dec_to_str(dec_round(dec_mult(array(dec_div(array(COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L)), 100.0)), 2)),  %)) AS COL_EE41E015_A306_4A1B_B832_0F8FAD31758B#792064]
Input [3]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L]

(16) AdaptiveSparkPlan
Output [4]: [COL_447872ED_9B1C_4783_93AD_D162FAE5E7C2#792019L, COL_7A74E310_6DF1_4871_9F1F_77A9DFB06302#792021L, COL_F78AF4F7_984E_4168_AAC5_1CEF99BEFE7B#792036L, COL_EE41E015_A306_4A1B_B832_0F8FAD31758B#792064]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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