DataHubScheduler - Details for Query 6073

Submitted Time: 2026/10/16 08:21:14
Duration: 4 s
Succeeded Jobs: 9273 9279 9286

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 14551.0: task 32136)) 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 14551.0: task 32136)) 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 14551.0: task 32136))"]; 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: 5"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n2 ms (0 ms, 2 ms, 2 ms (stage 14544.0: task 32130))"; 8 [labelType="html" label="Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1] number of output rows: 5"]; } 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=377668]

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

WholeStageCodegen (1)

InMemoryTableScan

Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1] [brand_context_id#10608057,Supplier Name#10608058,Supplier UID#10608059,PO Line Item TT#10608060,PO Line Items Due for Traceability#10608061,Traced PO Line Items#10608062,Quantity Traced#10608063,PO Line Items Traced on Time#10608064,delivery_quarter#10608065,Fulfillment Status#10608066,isCurrentQuarter#10608067,nike_po_line_items#10608068,mtz_po_line_items#10608069] PushedFilters: [], ReadSchema: struct<brand_context_id:string,Supplier Name:string,Supplier UID:string,PO Line Item TT:int,PO Li...

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=655.0 B, rowCount=5)
               +- InMemoryTableScan (1)
                     +- InMemoryRelation (2)
                           +- * Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1]  (3)
+- == Initial Plan ==
   HashAggregate (11)
   +- Exchange (10)
      +- HashAggregate (9)
         +- InMemoryTableScan (1)
               +- InMemoryRelation (2)
                     +- * Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1]  (3)


(1) InMemoryTableScan
Output: []

(2) InMemoryRelation
Arguments: [brand_context_id#10608057, Supplier Name#10608058, Supplier UID#10608059, PO Line Item TT#10608060, PO Line Items Due for Traceability#10608061, Traced PO Line Items#10608062, Quantity Traced#10608063, PO Line Items Traced on Time#10608064, delivery_quarter#10608065, Fulfillment Status#10608066, isCurrentQuarter#10608067, nike_po_line_items#10608068, mtz_po_line_items#10608069], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@7795a5ad,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1] [brand_context_id#10608057,Supplier Name#10608058,Supplier UID#10608059,PO Line Item TT#10608060,PO Line Items Due for Traceability#10608061,Traced PO Line Items#10608062,Quantity Traced#10608063,PO Line Items Traced on Time#10608064,delivery_quarter#10608065,Fulfillment Status#10608066,isCurrentQuarter#10608067,nike_po_line_items#10608068,mtz_po_line_items#10608069] PushedFilters: [], ReadSchema: struct<brand_context_id:string,Supplier Name:string,Supplier UID:string,PO Line Item TT:int,PO Li...
,None)

(3) Scan JDBCRelation(dbo.fact_supplier_performance_po_line_item) [numPartitions=1]  [codegen id : 1]
Output [13]: [brand_context_id#10608057, Supplier Name#10608058, Supplier UID#10608059, PO Line Item TT#10608060, PO Line Items Due for Traceability#10608061, Traced PO Line Items#10608062, Quantity Traced#10608063, PO Line Items Traced on Time#10608064, delivery_quarter#10608065, Fulfillment Status#10608066, isCurrentQuarter#10608067, nike_po_line_items#10608068, mtz_po_line_items#10608069]
ReadSchema: struct<brand_context_id:string,Supplier Name:string,Supplier UID:string,PO Line Item TT:int,PO Line Items Due for Traceability:int,Traced PO Line Items:int,Quantity Traced:double,PO Line Items Traced on Time:int,delivery_quarter:string,Fulfillment Status:string,isCurrentQuarter:int,nike_po_line_items:int,mtz_po_line_items:int>

(4) TableCacheQueryStage
Output: []
Arguments: 0

(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10608359L]
Results [1]: [count#10608360L]

(6) Exchange
Input [1]: [count#10608360L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=377668]

(7) ShuffleQueryStage
Output [1]: [count#10608360L]
Arguments: 1

(8) HashAggregate [codegen id : 2]
Input [1]: [count#10608360L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10608161L]
Results [1]: [count(1)#10608161L AS count#10608162L]

(9) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10608359L]
Results [1]: [count#10608360L]

(10) Exchange
Input [1]: [count#10608360L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=377321]

(11) HashAggregate
Input [1]: [count#10608360L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10608161L]
Results [1]: [count(1)#10608161L AS count#10608162L]

(12) AdaptiveSparkPlan
Output [1]: [count#10608162L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.shuffle.partitions	10