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https://issues.apache.org/jira/browse/FLINK-40304?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated FLINK-40304:
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Labels: pull-request-available (was: )
> Incorrect upsert key inference for PTFs with multiple table arguments
> ---------------------------------------------------------------------
>
> Key: FLINK-40304
> URL: https://issues.apache.org/jira/browse/FLINK-40304
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Planner
> Affects Versions: 2.4.0
> Reporter: Qilong Wang
> Priority: Major
> Labels: pull-request-available
> Fix For: 2.4.0
>
>
> *Description*
> For a process table function (PTF) with multiple table arguments, the planner
> can derive incorrect output positions for the partition columns after the
> first argument.
> `StreamPhysicalProcessTableFunction.toPartitionColumns()` tracks the
> cumulative output offset in `pos`, but uses `partitionKeyCount` directly as
> the exclusive upper bound:
> {code:java}
> IntStream.range(pos, partitionKeyCount){code}
> However, `partitionKeyCount` is a count rather than an absolute output
> position.
> For example, when two table arguments each have one partition key, the first
> argument correctly produces `\{0}`, while the second argument incorrectly
> produces an empty key instead of `\{1}`.
> Upsert PTFs use these partition columns as upsert key candidates.
> Consequently, when a downstream upsert sink uses a partition column from the
> second table argument as its primary key, the planner cannot satisfy the
> required upsert key and rejects an otherwise valid query with:
> {code:java}
> Can't generate a valid execution plan for the given query.{code}
> *Expected Behavior*
> The planner should account for the cumulative output offset when deriving
> partition columns.
> When two table arguments each have one partition key, the PTF should expose
> `\{0}` and `\{1}` as upsert key candidates. A downstream sink keyed by either
> partition column should therefore be able to consume the PTF's upsert
> changelog.
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