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https://issues.apache.org/jira/browse/FLINK-5255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15734849#comment-15734849
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Fabian Hueske commented on FLINK-5255:
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Initially, the plan consists of {{LogicalProject}} and {{LogicalFilter}}. These
are converted into {{LogicalCalc}} by optimization rules. So, these plans are
only available during optimization.
I assume you are looking at the plans produced by
{{TableEnvironment.explain()}}. Until recently, explain only showed the
pre-optimization plan and the physical DataSet program. Since a few days, it
also shows the result of the optimization.
If you rebase your commit, explain should show you the result of the
optimization ({{LogicalCalc}} will be translated into {{DataSetCalc}}).
> Improve single row check in DataSetSingleRowJoinRule
> ----------------------------------------------------
>
> Key: FLINK-5255
> URL: https://issues.apache.org/jira/browse/FLINK-5255
> Project: Flink
> Issue Type: Improvement
> Components: Table API & SQL
> Affects Versions: 1.2.0
> Reporter: Fabian Hueske
> Assignee: Alexander Shoshin
>
> {{DataSetSingleRowJoinRule}} checks converts an arbitrary inner join (cross,
> theta, equi) where one input has exactly one row into a broadcast-map join.
> Currently, the condition to check for the single row is that the input of the
> join must be a global aggregation. The check fails if the input is a
> {{LogicalCalc}} followed by {{LogicalAggregate}}.
> Hence, the following query cannot be executed:
> {code}
> SELECT absum, x.a
> FROM x, (SELECT a.sum + b.sum AS absum FROM y)
> {code}
> The single row check should be extended to accept a {{LogicalCalc}} that has
> no condition {{(RexProgram.getCondition() == null)}}.
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