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https://issues.apache.org/jira/browse/FLINK-5256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15826135#comment-15826135
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ASF GitHub Bot commented on FLINK-5256:
---------------------------------------
Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3033#discussion_r96408903
--- Diff:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/runtime/MapJoinLeftRunner.scala
---
@@ -32,6 +33,17 @@ class MapJoinLeftRunner[IN1, IN2, OUT](
broadcastSet match {
case Some(singleInput) => function.join(multiInput, singleInput, out)
case None =>
+ if (isRowClass(multiInput) &&
returnType.getTypeClass.equals(classOf[Row])) {
+ val inputRow = multiInput.asInstanceOf[Row]
+ val countNullRecords = returnType.getTotalFields -
inputRow.getArity
+ val nullRecords= new Row(countNullRecords)
+ function.join(multiInput, nullRecords.asInstanceOf[IN2], out)
--- End diff --
this only works if the generated join function expects the `singleInput` to
be a `Row`.
You enabled nullable inputs for outer joins in the code generator, so the
generated join function should be able to handle `null` input.
> Extend DataSetSingleRowJoin to support Left and Right joins
> -----------------------------------------------------------
>
> Key: FLINK-5256
> URL: https://issues.apache.org/jira/browse/FLINK-5256
> Project: Flink
> Issue Type: Improvement
> Components: Table API & SQL
> Affects Versions: 1.2.0
> Reporter: Fabian Hueske
> Assignee: Anton Mushin
>
> The {{DataSetSingleRowJoin}} is a broadcast-map join that supports arbitrary
> inner joins where one input is a single row.
> I found that Calcite translates certain subqueries into non-equi left and
> right joins with single input. These cases can be handled if the
> {{DataSetSingleRowJoin}} is extended to support outer joins on the
> non-single-row input, i.e., left joins if the right side is single input and
> vice versa.
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