DataHubScheduler - Details for Job 33

Status: SUCCEEDED
Submitted: 2026/10/16 17:42:55
Duration: 70 ms
Associated SQL Query: 12
Completed Stages: 1

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digraph G { subgraph clusterstage_45 { label="Stage 45"; 152 [labelType="html" label="JDBCRDD [152] cache at <unknown>:0"]; subgraph cluster364 { label="WholeStageCodegen (1)"; 153 [labelType="html" label="MapPartitionsRDD [153] count at <unknown>:0"]; } subgraph cluster366 { label="mapPartitionsInternal"; 154 [labelType="html" label="MapPartitionsRDD [154] count at <unknown>:0"]; } subgraph cluster367 { label="mapPartitionsInternal"; 155 [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#5924,supplier_id#5925,entity_name#5926,city#5927,state#5928,country#5929,supplier_type#5930,declaring_supplier_id#5931,canonical_id#5932,is_primary#5933,threshold#5934,create_date#5935] PushedFilters: [], ReadSchema: struct<brand_context_id:string,supplier_id:string,entity_name:string,city:string,state:string,cou...\n [155] [Cached] count at <unknown>:0"]; } subgraph cluster373 { label="InMemoryTableScan"; 156 [labelType="html" label="MapPartitionsRDD [156] count at <unknown>:0"]; 157 [labelType="html" label="MapPartitionsRDD [157] count at <unknown>:0"]; 158 [labelType="html" label="MapPartitionsRDD [158] count at <unknown>:0"]; } subgraph cluster369 { label="WholeStageCodegen (1)"; 159 [labelType="html" label="MapPartitionsRDD [159] count at <unknown>:0"]; } subgraph cluster368 { label="Exchange"; 160 [labelType="html" label="MapPartitionsRDD [160] count at <unknown>:0"]; } } 152->153; 153->154; 154->155; 155->156; 156->157; 157->158; 158->159; 159->160; }

155

Completed Stages (1)

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Stage Id ▾	Pool Name	Description	Submitted	Duration	Tasks: Succeeded/Total	Input	Output	Shuffle Read	Shuffle Write
45	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 17:42:55	66 ms	1/1	1098.0 KiB			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 17:42:55

66 ms

1/1

1098.0 KiB

59.0 B

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