DataHubScheduler - Details for Query 6008

Submitted Time: 2026/10/16 08:21:00
Duration: 4 s
Succeeded Jobs: 9178 9184 9188

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="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 3 [labelType="html" label="Exchange shuffle records written: 1 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 14440.0: task 32017)) 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: 59.0 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 total (min, med, max (stageId: taskId)) 16.0 B (0.0 B, 16.0 B, 16.0 B (stage 14440.0: task 32017)) 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 total (min, med, max (stageId: taskId)) 59.0 B (0.0 B, 59.0 B, 59.0 B (stage 14440.0: task 32017))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 0 ms"; 5 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 6 [labelType="html" label="InMemoryTableScan number of output rows: 1,060"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n25 ms (0 ms, 25 ms, 25 ms (stage 14433.0: task 32011))"; 8 [labelType="html" label="Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1] number of output rows: 1,060"]; } 2->0; 3->2; 5->3; 6->5; 8->6; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[], functions=[count(1)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=371510]

HashAggregate(keys=[], functions=[partial_count(1)])

WholeStageCodegen (1)

InMemoryTableScan

Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1] [supplier_name#10562415,facility_name#10562416,auditor_name#10562417,fac_company_id#10562418,audit_start_date#10562419,audit_end_date#10562420,target_date#10562421,schedule_date#10562422,audit_results_upload#10562423,target_performance#10562424,audit_date_performance#10562425,time_frame#10562426,audit_number#10562427,last_audit_request_sent#10562428,fac_aud_category#10562429,address_country#10562430,bigid#10562431L] PushedFilters: [], ReadSchema: struct<supplier_name:string,facility_name:string,auditor_name:string,fac_company_id:string,audit_...

WholeStageCodegen (1)

Details

== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
   * HashAggregate (8)
   +- ShuffleQueryStage (7), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (6)
         +- * HashAggregate (5)
            +- TableCacheQueryStage (4), Statistics(sizeInBytes=183.2 KiB, rowCount=1.06E+3)
               +- InMemoryTableScan (1)
                     +- InMemoryRelation (2)
                           +- * Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1]  (3)
+- == Initial Plan ==
   HashAggregate (11)
   +- Exchange (10)
      +- HashAggregate (9)
         +- InMemoryTableScan (1)
               +- InMemoryRelation (2)
                     +- * Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1]  (3)


(1) InMemoryTableScan
Output: []

(2) InMemoryRelation
Arguments: [supplier_name#10562415, facility_name#10562416, auditor_name#10562417, fac_company_id#10562418, audit_start_date#10562419, audit_end_date#10562420, target_date#10562421, schedule_date#10562422, audit_results_upload#10562423, target_performance#10562424, audit_date_performance#10562425, time_frame#10562426, audit_number#10562427, last_audit_request_sent#10562428, fac_aud_category#10562429, address_country#10562430, bigid#10562431L], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@7795a5ad,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1] [supplier_name#10562415,facility_name#10562416,auditor_name#10562417,fac_company_id#10562418,audit_start_date#10562419,audit_end_date#10562420,target_date#10562421,schedule_date#10562422,audit_results_upload#10562423,target_performance#10562424,audit_date_performance#10562425,time_frame#10562426,audit_number#10562427,last_audit_request_sent#10562428,fac_aud_category#10562429,address_country#10562430,bigid#10562431L] PushedFilters: [], ReadSchema: struct<supplier_name:string,facility_name:string,auditor_name:string,fac_company_id:string,audit_...
,None)

(3) Scan JDBCRelation((SELECT * FROM dbo.fact_spa_auditor_performance WHERE bigid BETWEEN 1 AND 1060) AS page) [numPartitions=1]  [codegen id : 1]
Output [17]: [supplier_name#10562415, facility_name#10562416, auditor_name#10562417, fac_company_id#10562418, audit_start_date#10562419, audit_end_date#10562420, target_date#10562421, schedule_date#10562422, audit_results_upload#10562423, target_performance#10562424, audit_date_performance#10562425, time_frame#10562426, audit_number#10562427, last_audit_request_sent#10562428, fac_aud_category#10562429, address_country#10562430, bigid#10562431L]
ReadSchema: struct<supplier_name:string,facility_name:string,auditor_name:string,fac_company_id:string,audit_start_date:date,audit_end_date:date,target_date:date,schedule_date:date,audit_results_upload:date,target_performance:string,audit_date_performance:string,time_frame:int,audit_number:string,last_audit_request_sent:date,fac_aud_category:string,address_country:string,bigid:bigint>

(4) TableCacheQueryStage
Output: []
Arguments: 0

(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10562809L]
Results [1]: [count#10562810L]

(6) Exchange
Input [1]: [count#10562810L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=371510]

(7) ShuffleQueryStage
Output [1]: [count#10562810L]
Arguments: 1

(8) HashAggregate [codegen id : 2]
Input [1]: [count#10562810L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10562551L]
Results [1]: [count(1)#10562551L AS count#10562552L]

(9) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10562809L]
Results [1]: [count#10562810L]

(10) Exchange
Input [1]: [count#10562810L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=371340]

(11) HashAggregate
Input [1]: [count#10562810L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10562551L]
Results [1]: [count(1)#10562551L AS count#10562552L]

(12) AdaptiveSparkPlan
Output [1]: [count#10562552L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.shuffle.partitions	10