DataHubScheduler - Details for Query 4968

Submitted Time: 2026/10/18 08:42:57
Duration: 0.2 s
Succeeded Jobs: 21265 21266 21267

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 30898.0: task 65313)) 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 30898.0: task 65313)) 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 30898.0: task 65313))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 1 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: 11,263"]; 7 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster8 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n186 ms (0 ms, 186 ms, 186 ms (stage 30897.0: task 65312))"; 9 [labelType="html" label="Filter number of output rows: 11,263"]; } 10 [labelType="html" label="InMemoryTableScan number of output rows: 11,263"]; subgraph cluster11 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n0 ms (0 ms, 0 ms, 0 ms (stage 30897.0: task 65312))"; 12 [labelType="html" label="Scan JDBCRelation(( SELECT DISTINCT v.brand_context_id, v.supplier_id, v.entity_name, v.city, v.state, v.country, v.supplier_type, v.declaring_supplier_id, v.canonical_id, v.is_primary, COALESCE(v.threshold, 0.9) AS threshold, v.create_date FROM vw_all_suppliers_for_dedup v ) AS all_suppliers) [numPartitions=1] number of output rows: 0"]; } 2->0; 3->2; 5->3; 6->5; 7->6; 9->7; 10->9; 12->10; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=4056528]

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

WholeStageCodegen (1)

InMemoryTableScan

AdaptiveSparkPlan isFinalPlan=true

Filter isnotnull(canonical_id#13212260)

WholeStageCodegen (1)

InMemoryTableScan [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263], [isnotnull(canonical_id#13212260)]

Scan JDBCRelation(( SELECT DISTINCT v.brand_context_id, v.supplier_id, v.entity_name, v.city, v.state, v.country, v.supplier_type, v.declaring_supplier_id, v.canonical_id, v.is_primary, COALESCE(v.threshold, 0.9) AS threshold, v.create_date FROM vw_all_suppliers_for_dedup v ) AS all_suppliers) [numPartitions=1] [brand_context_id#13212252,supplier_id#13212253,entity_name#13212254,city#13212255,state#13212256,country#13212257,supplier_type#13212258,declaring_supplier_id#13212259,canonical_id#13212260,is_primary#13212261,threshold#13212262,create_date#13212263] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...

WholeStageCodegen (1)

Details

== Physical Plan ==
AdaptiveSparkPlan (16)
+- == Final Plan ==
   * HashAggregate (12)
   +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)
      +- Exchange (10)
         +- * HashAggregate (9)
            +- TableCacheQueryStage (8), Statistics(sizeInBytes=1643.7 KiB, rowCount=1.13E+4)
               +- InMemoryTableScan (1)
                     +- InMemoryRelation (2)
                           +- AdaptiveSparkPlan (7)
                              +- Filter (6)
                                 +- InMemoryTableScan (3)
                                       +- InMemoryRelation (4)
                                             +- * Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1]  (5)
+- == Initial Plan ==
   HashAggregate (15)
   +- Exchange (14)
      +- HashAggregate (13)
         +- InMemoryTableScan (1)
               +- InMemoryRelation (2)
                     +- AdaptiveSparkPlan (7)
                        +- Filter (6)
                           +- InMemoryTableScan (3)
                                 +- InMemoryRelation (4)
                                       +- * Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1]  (5)


(1) InMemoryTableScan
Output: []

(2) InMemoryRelation
Arguments: [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@730ae8bf,StorageLevel(disk, memory, deserialized, 1 replicas),AdaptiveSparkPlan isFinalPlan=true
+- == Final Plan ==
   *(1) Filter isnotnull(canonical_id#13212260)
   +- TableCacheQueryStage 0
      +- InMemoryTableScan [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263], [isnotnull(canonical_id#13212260)]
            +- InMemoryRelation [brand_context_id#13212252, supplier_id#13212253, entity_name#13212254, city#13212255, state#13212256, country#13212257, supplier_type#13212258, declaring_supplier_id#13212259, canonical_id#13212260, is_primary#13212261, threshold#13212262, create_date#13212263], StorageLevel(disk, memory, deserialized, 1 replicas)
                  +- *(1) Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1] [brand_context_id#13212252,supplier_id#13212253,entity_name#13212254,city#13212255,state#13212256,country#13212257,supplier_type#13212258,declaring_supplier_id#13212259,canonical_id#13212260,is_primary#13212261,threshold#13212262,create_date#13212263] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...
+- == Initial Plan ==
   Filter isnotnull(canonical_id#13212260)
   +- InMemoryTableScan [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263], [isnotnull(canonical_id#13212260)]
         +- InMemoryRelation [brand_context_id#13212252, supplier_id#13212253, entity_name#13212254, city#13212255, state#13212256, country#13212257, supplier_type#13212258, declaring_supplier_id#13212259, canonical_id#13212260, is_primary#13212261, threshold#13212262, create_date#13212263], StorageLevel(disk, memory, deserialized, 1 replicas)
               +- *(1) Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1] [brand_context_id#13212252,supplier_id#13212253,entity_name#13212254,city#13212255,state#13212256,country#13212257,supplier_type#13212258,declaring_supplier_id#13212259,canonical_id#13212260,is_primary#13212261,threshold#13212262,create_date#13212263] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...
,None)

(3) InMemoryTableScan
Output [10]: [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263]
Arguments: [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263], [isnotnull(canonical_id#13212260)]

(4) InMemoryRelation
Arguments: [brand_context_id#13212252, supplier_id#13212253, entity_name#13212254, city#13212255, state#13212256, country#13212257, supplier_type#13212258, declaring_supplier_id#13212259, canonical_id#13212260, is_primary#13212261, threshold#13212262, create_date#13212263], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@730ae8bf,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1] [brand_context_id#13212252,supplier_id#13212253,entity_name#13212254,city#13212255,state#13212256,country#13212257,supplier_type#13212258,declaring_supplier_id#13212259,canonical_id#13212260,is_primary#13212261,threshold#13212262,create_date#13212263] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...
,None)

(5) Scan JDBCRelation((
            SELECT DISTINCT
                v.brand_context_id,
                v.supplier_id,
                v.entity_name,
                v.city,
                v.state,
                v.country,
                v.supplier_type,
                v.declaring_supplier_id,
                v.canonical_id,
                v.is_primary,
                COALESCE(v.threshold, 0.9) AS threshold,
                v.create_date
            FROM vw_all_suppliers_for_dedup v
        ) AS all_suppliers) [numPartitions=1]  [codegen id : 1]
Output [12]: [brand_context_id#13212252, supplier_id#13212253, entity_name#13212254, city#13212255, state#13212256, country#13212257, supplier_type#13212258, declaring_supplier_id#13212259, canonical_id#13212260, is_primary#13212261, threshold#13212262, create_date#13212263]
ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,country:string,supplier_type:string,declaring_supplier_id:string,canonical_id:string,is_primary:boolean,threshold:double,create_date:date>

(6) Filter
Input [10]: [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263]
Condition : isnotnull(canonical_id#13212260)

(7) AdaptiveSparkPlan
Output [10]: [brand_context_id#13212252, supplier_id#13212253, canonical_id#13212260, is_primary#13212261, entity_name#13212254, city#13212255, state#13212256, country#13212257, threshold#13212262, create_date#13212263]
Arguments: isFinalPlan=false

(8) TableCacheQueryStage
Output: []
Arguments: 0

(9) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#13213571L]
Results [1]: [count#13213572L]

(10) Exchange
Input [1]: [count#13213572L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=4056528]

(11) ShuffleQueryStage
Output [1]: [count#13213572L]
Arguments: 1

(12) HashAggregate [codegen id : 2]
Input [1]: [count#13213572L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#13213418L]
Results [1]: [count(1)#13213418L AS count#13213419L]

(13) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#13213571L]
Results [1]: [count#13213572L]

(14) Exchange
Input [1]: [count#13213572L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=4056497]

(15) HashAggregate
Input [1]: [count#13213572L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#13213418L]
Results [1]: [count(1)#13213418L AS count#13213419L]

(16) AdaptiveSparkPlan
Output [1]: [count#13213419L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.shuffle.partitions	10