DataHubScheduler - Details for Query 6660

Submitted Time: 2026/10/19 00:02:54
Duration: 0.3 s
Succeeded Jobs: 26059 26060 26061

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 36269.0: task 70716)) 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 36269.0: task 70716)) 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 36269.0: task 70716))"]; 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: 11,263"]; 7 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster8 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n249 ms (0 ms, 249 ms, 249 ms (stage 36268.0: task 70715))"; 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 36268.0: task 70715))"; 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=4283040]

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

WholeStageCodegen (1)

InMemoryTableScan

AdaptiveSparkPlan isFinalPlan=true

Filter isnotnull(canonical_id#14899911)

WholeStageCodegen (1)

InMemoryTableScan [brand_context_id#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914], [isnotnull(canonical_id#14899911)]

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#14899903,supplier_id#14899904,entity_name#14899905,city#14899906,state#14899907,country#14899908,supplier_type#14899909,declaring_supplier_id#14899910,canonical_id#14899911,is_primary#14899912,threshold#14899913,create_date#14899914] 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#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914], 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#14899911)
   +- TableCacheQueryStage 0
      +- InMemoryTableScan [brand_context_id#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914], [isnotnull(canonical_id#14899911)]
            +- InMemoryRelation [brand_context_id#14899903, supplier_id#14899904, entity_name#14899905, city#14899906, state#14899907, country#14899908, supplier_type#14899909, declaring_supplier_id#14899910, canonical_id#14899911, is_primary#14899912, threshold#14899913, create_date#14899914], 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#14899903,supplier_id#14899904,entity_name#14899905,city#14899906,state#14899907,country#14899908,supplier_type#14899909,declaring_supplier_id#14899910,canonical_id#14899911,is_primary#14899912,threshold#14899913,create_date#14899914] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...
+- == Initial Plan ==
   Filter isnotnull(canonical_id#14899911)
   +- InMemoryTableScan [brand_context_id#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914], [isnotnull(canonical_id#14899911)]
         +- InMemoryRelation [brand_context_id#14899903, supplier_id#14899904, entity_name#14899905, city#14899906, state#14899907, country#14899908, supplier_type#14899909, declaring_supplier_id#14899910, canonical_id#14899911, is_primary#14899912, threshold#14899913, create_date#14899914], 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#14899903,supplier_id#14899904,entity_name#14899905,city#14899906,state#14899907,country#14899908,supplier_type#14899909,declaring_supplier_id#14899910,canonical_id#14899911,is_primary#14899912,threshold#14899913,create_date#14899914] 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#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914]
Arguments: [brand_context_id#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914], [isnotnull(canonical_id#14899911)]

(4) InMemoryRelation
Arguments: [brand_context_id#14899903, supplier_id#14899904, entity_name#14899905, city#14899906, state#14899907, country#14899908, supplier_type#14899909, declaring_supplier_id#14899910, canonical_id#14899911, is_primary#14899912, threshold#14899913, create_date#14899914], 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#14899903,supplier_id#14899904,entity_name#14899905,city#14899906,state#14899907,country#14899908,supplier_type#14899909,declaring_supplier_id#14899910,canonical_id#14899911,is_primary#14899912,threshold#14899913,create_date#14899914] 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#14899903, supplier_id#14899904, entity_name#14899905, city#14899906, state#14899907, country#14899908, supplier_type#14899909, declaring_supplier_id#14899910, canonical_id#14899911, is_primary#14899912, threshold#14899913, create_date#14899914]
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#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914]
Condition : isnotnull(canonical_id#14899911)

(7) AdaptiveSparkPlan
Output [10]: [brand_context_id#14899903, supplier_id#14899904, canonical_id#14899911, is_primary#14899912, entity_name#14899905, city#14899906, state#14899907, country#14899908, threshold#14899913, create_date#14899914]
Arguments: isFinalPlan=false

(8) TableCacheQueryStage
Output: []
Arguments: 0

(9) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#14901222L]
Results [1]: [count#14901223L]

(10) Exchange
Input [1]: [count#14901223L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=4283040]

(11) ShuffleQueryStage
Output [1]: [count#14901223L]
Arguments: 1

(12) HashAggregate [codegen id : 2]
Input [1]: [count#14901223L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#14901069L]
Results [1]: [count(1)#14901069L AS count#14901070L]

(13) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#14901222L]
Results [1]: [count#14901223L]

(14) Exchange
Input [1]: [count#14901223L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=4283009]

(15) HashAggregate
Input [1]: [count#14901223L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#14901069L]
Results [1]: [count(1)#14901069L AS count#14901070L]

(16) AdaptiveSparkPlan
Output [1]: [count#14901070L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.shuffle.partitions	10