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https://issues.apache.org/jira/browse/FLINK-36981?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated FLINK-36981:
-----------------------------------
Labels: pull-request-available (was: )
> The bug of transform merging with route in YAML task
> ----------------------------------------------------
>
> Key: FLINK-36981
> URL: https://issues.apache.org/jira/browse/FLINK-36981
> Project: Flink
> Issue Type: Bug
> Components: Flink CDC
> Affects Versions: cdc-3.2.1
> Reporter: Wenkai Qi
> Priority: Major
> Labels: pull-request-available
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> h1. situation
> In FlinkPipelineComposerITCase.testTransformMergingWithRoute:
>
> {code:java}
> // Create test dataset:
> // Create table 1 [id, name, age]
> // Table 1: +I[1, Alice, 18]
> // Table 1: +I[2, Bob, 20]
> // Table 1: -U[2, Bob, 20] +U[2, Bob, 30]
> // Create table 2 [id, name, age, description]
> // Table 2: +I[3, Charlie, 15, student]
> // Table 2: +I[4, Donald, 25, student]
> // Table 2: -D[4, Donald, 25, student]
> // Rename column for table 1: name -> last_name
> // Add column for table 2: gender
> // Table 1: +I[5, Eliza, 24]
> // Table 2: +I[6, Frank, 30, student, male] {code}
> This is executed correctly.
> {code:java}
> // Create test dataset:
> // Create table 1 [id, name, age]
> // Create table 2 [id, name, age, description]
> // Table 1: +I[1, Alice, 18]
> // Table 1: +I[2, Bob, 20]
> // Table 1: -U[2, Bob, 20] +U[2, Bob, 30]
> // Table 2: +I[3, Charlie, 15, student]
> // Table 2: +I[4, Donald, 25, student]
> // Table 2: -D[4, Donald, 25, student]
> // Rename column for table 1: name -> last_name
> // Add column for table 2: gender
> // Table 1: +I[5, Eliza, 24]
> // Table 2: +I[6, Frank, 30, student, male] {code}
> This will cause an exception.
> {code:java}
> Caused by: org.codehaus.commons.compiler.CompileException: Line 1, Column 76:
> Assignment conversion not possible from type "java.lang.Integer" to type
> "java.lang.Long" {code}
> h1. cause
> When a conversion rule of transform matches multiple tables, only tables with
> the same structure are supported. However, in the scenario of sharding
> databases and tables, it is possible to match multiple tables with different
> structures.
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