[
https://issues.apache.org/jira/browse/FLINK-5256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15996915#comment-15996915
]
ASF GitHub Bot commented on FLINK-5256:
---------------------------------------
Github user DmytroShkvyra commented on a diff in the pull request:
https://github.com/apache/flink/pull/3673#discussion_r114810526
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/batch/sql/JoinITCase.scala
---
@@ -369,10 +363,258 @@ class JoinITCase(
val table =
CollectionDataSets.getSmall3TupleDataSet(env).toTable(tEnv).as('a1, 'a2, 'a3)
tEnv.registerTable("A", table)
- val sqlQuery1 = "SELECT * FROM A CROSS JOIN (SELECT count(*) FROM A
HAVING count(*) < 0)"
--- End diff --
Done
> 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: Dmytro Shkvyra
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
