DataHubScheduler - Details for Job 7

Status: SUCCEEDED
Submitted: 2026/10/16 17:03:41
Duration: 0.1 s
Associated SQL Query: 2
Completed Stages: 1
Skipped Stages: 1

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digraph G { subgraph clusterstage_9 { label="Stage 9 (skipped)"; 0 [labelType="html" label="JDBCRDD [0] cache at <unknown>:0"]; subgraph cluster0 { label="WholeStageCodegen (1)"; 1 [labelType="html" label="MapPartitionsRDD [1] count at <unknown>:0"]; } subgraph cluster2 { label="mapPartitionsInternal"; 2 [labelType="html" label="MapPartitionsRDD [2] count at <unknown>:0"]; } subgraph cluster3 { label="mapPartitionsInternal"; 3 [labelType="html" label="*(1) Scan JDBCRelation((\n SELECT DISTINCT\n v.brand_context_id,\n v.supplier_id,\n v.entity_name,\n v.city,\n v.state,\n v.country,\n v.supplier_type,\n v.declaring_supplier_id,\n v.canonical_id,\n v.is_primary,\n COALESCE(v.threshold, 0.9) AS threshold,\n v.create_date\n FROM vw_all_suppliers_for_dedup v\n ) AS all_suppliers) [numPartitions=1] [brand_context_id#0,supplier_id#1,entity_name#2,city#3,state#4,country#5,supplier_type#6,declaring_supplier_id#7,canonical_id#8,is_primary#9,threshold#10,create_date#11] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...\n [3] [Cached] count at <unknown>:0"]; } subgraph cluster60 { label="InMemoryTableScan"; 24 [labelType="html" label="MapPartitionsRDD [24] count at <unknown>:0"]; 25 [labelType="html" label="MapPartitionsRDD [25] count at <unknown>:0"]; 26 [labelType="html" label="MapPartitionsRDD [26] count at <unknown>:0"]; } subgraph cluster56 { label="WholeStageCodegen (1)"; 27 [labelType="html" label="MapPartitionsRDD [27] count at <unknown>:0"]; } subgraph cluster61 { label="mapPartitionsInternal"; 28 [labelType="html" label="MapPartitionsRDD [28] count at <unknown>:0"]; } subgraph cluster62 { label="mapPartitionsInternal"; 29 [labelType="html" label="AdaptiveSparkPlan isFinalPlan=false\n+- Filter isnotnull(canonical_id#8)\n +- InMemoryTableScan [brand_context_id#0, supplier_id#1, canonical_id#8, is_primary#9, entity_name#2, city#3, state#4, country#5, threshold#10, create_date#11], [isnotnull(canonical_id#8)]\n +- InMemoryRelation [brand_context_id#0, supplier_id#1, entity_name#2, city#3, state#4, country#5, supplier_type#6, declaring_supplier_id#7, canonical_id#8, is_primary#9, threshold#10, create_date#11], StorageLevel(disk, memory, deserialized, 1 replicas)\n +- *(1) Scan JDBCRelation((\n SELECT DISTINCT\n v.brand_context_id,\n v.supplier_id,\n v.entity_name,\n v.city,\n v.state,\n v.country,\n v.supplier_type,\n v.declaring_supplier_id,\n v.canonical_id,\n v.is_primary,\n COALESCE(v.threshold, 0.9) AS threshold,\n v.create_date\n FROM vw_all_s... [29] [Cached] count at <unknown>:0"]; } subgraph cluster68 { label="InMemoryTableScan"; 30 [labelType="html" label="MapPartitionsRDD [30] count at <unknown>:0"]; 31 [labelType="html" label="MapPartitionsRDD [31] count at <unknown>:0"]; 32 [labelType="html" label="MapPartitionsRDD [32] count at <unknown>:0"]; } subgraph cluster64 { label="WholeStageCodegen (1)"; 33 [labelType="html" label="MapPartitionsRDD [33] count at <unknown>:0"]; } subgraph cluster63 { label="Exchange"; 34 [labelType="html" label="MapPartitionsRDD [34] count at <unknown>:0"]; } } 0->1; 1->2; 2->3; 3->24; 24->25; 25->26; 26->27; 27->28; 28->29; 29->30; 30->31; 31->32; 32->33; 33->34; }

digraph G { subgraph clusterstage_10 { label="Stage 10"; subgraph cluster73 { label="Exchange"; 35 [labelType="html" label="ShuffledRowRDD [35] [Unordered] count at <unknown>:0"]; } subgraph cluster69 { label="WholeStageCodegen (2)"; 36 [labelType="html" label="MapPartitionsRDD [36] [Unordered] count at <unknown>:0"]; } subgraph cluster74 { label="mapPartitionsInternal"; 37 [labelType="html" label="MapPartitionsRDD [37] [Unordered] count at <unknown>:0"]; } } 35->36; 36->37; }

34,35

Completed Stages (1)

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Stage Id ▾	Pool Name	Description	Submitted	Duration	Tasks: Succeeded/Total	Input	Output	Shuffle Read	Shuffle Write
10	default	count at <unknown>:0 +details org.apache.spark.sql.Dataset.count(Dataset.scala:3613) java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) java.base/java.lang.reflect.Method.invoke(Unknown Source) py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374) py4j.Gateway.invoke(Gateway.java:282) py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) py4j.commands.CallCommand.execute(CallCommand.java:79) py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182) py4j.ClientServerConnection.run(ClientServerConnection.java:106) java.base/java.lang.Thread.run(Unknown Source)	2026/10/16 17:03:41	0.1 s	1/1			59.0 B

Stage Id ▾

Pool Name

Description

Submitted

Duration

Tasks: Succeeded/Total

Input

Output

Shuffle Read

Shuffle Write

default

count at <unknown>:0 +details

org.apache.spark.sql.Dataset.count(Dataset.scala:3613)
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
java.base/java.lang.reflect.Method.invoke(Unknown Source)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
py4j.Gateway.invoke(Gateway.java:282)
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
py4j.commands.CallCommand.execute(CallCommand.java:79)
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
py4j.ClientServerConnection.run(ClientServerConnection.java:106)
java.base/java.lang.Thread.run(Unknown Source)

2026/10/16 17:03:41

0.1 s

1/1

59.0 B

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Skipped Stages (1)

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Stage Id ▾	Pool Name	Description	Submitted	Duration	Tasks: Succeeded/Total	Input	Output	Shuffle Read	Shuffle Write
9	default	count at <unknown>:0 +details org.apache.spark.sql.Dataset.count(Dataset.scala:3613) java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) java.base/java.lang.reflect.Method.invoke(Unknown Source) py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374) py4j.Gateway.invoke(Gateway.java:282) py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) py4j.commands.CallCommand.execute(CallCommand.java:79) py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182) py4j.ClientServerConnection.run(ClientServerConnection.java:106) java.base/java.lang.Thread.run(Unknown Source)	Unknown	Unknown	0/1

Stage Id ▾

Pool Name

Description

Submitted

Duration

Tasks: Succeeded/Total

Input

Output

Shuffle Read

Shuffle Write

default

count at <unknown>:0 +details

org.apache.spark.sql.Dataset.count(Dataset.scala:3613)
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
java.base/java.lang.reflect.Method.invoke(Unknown Source)
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
py4j.Gateway.invoke(Gateway.java:282)
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
py4j.commands.CallCommand.execute(CallCommand.java:79)
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
py4j.ClientServerConnection.run(ClientServerConnection.java:106)
java.base/java.lang.Thread.run(Unknown Source)

Unknown

0/1

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