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Posted to issues@flink.apache.org by AlexanderKoltsov <gi...@git.apache.org> on 2018/07/09 11:38:22 UTC
[GitHub] flink pull request #6287: [FLINK-5750] Incorrect translation of n-ary Union
GitHub user AlexanderKoltsov opened a pull request:
https://github.com/apache/flink/pull/6287
[FLINK-5750] Incorrect translation of n-ary Union
## What is the purpose of the change
*This pull request adds supporting multiple inputs in DataSetUnionRule*
## Brief change log
- *DataSetUnionRule should consider all inputs instead of only the 1st and 2nd*
## Verifying this change
*This change added the following test:*
*- Added unit test testValuesWithCast that validates VALUES operator with values which have to to be casted. This query will be transform to UNION of VALUES in plan optimizer since values arguments are not literal value*
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (yes / **no**)
- The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (yes / **no**)
- The serializers: (yes / **no** / don't know)
- The runtime per-record code paths (performance sensitive): (yes / **no** / don't know)
- Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Yarn/Mesos, ZooKeeper: (yes / **no** / don't know)
- The S3 file system connector: (yes / **no** / don't know)
## Documentation
- Does this pull request introduce a new feature? (yes / **no**)
- If yes, how is the feature documented? (not applicable / docs / JavaDocs / not documented)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/AlexanderKoltsov/flink master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/6287.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #6287
----
commit 534ad0227a060bddc0fdde50b2dd397b4f000916
Author: Alexander Koltsov <al...@...>
Date: 2018-07-09T11:35:08Z
[FLINK-5750] Incorrect translation of n-ary Union
Calcite's union operator is supports more than two input relations.
However, Flink's translation rules only consider the first two relations
because we assumed that Calcite's union is binary.
This problem exists for batch and streaming queries.
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[GitHub] flink pull request #6287: [FLINK-5750] Incorrect translation of n-ary Union
Posted by AlexanderKoltsov <gi...@git.apache.org>.
Github user AlexanderKoltsov closed the pull request at:
https://github.com/apache/flink/pull/6287
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[GitHub] flink issue #6287: [FLINK-5750] Incorrect translation of n-ary Union
Posted by AlexanderKoltsov <gi...@git.apache.org>.
Github user AlexanderKoltsov commented on the issue:
https://github.com/apache/flink/pull/6287
Hi, This PR is continuation of https://github.com/apache/flink/pull/6267
Seems that during push I worked wrong with commits. Sorry!
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[GitHub] flink issue #6287: [FLINK-5750] Incorrect translation of n-ary Union
Posted by AlexanderKoltsov <gi...@git.apache.org>.
Github user AlexanderKoltsov commented on the issue:
https://github.com/apache/flink/pull/6287
The only thing that I didn't do is: I didn't add unit test for stream environment.
During this test I got exception.
### Test in org.apache.flink.table.runtime.stream.sql package:
@Test
def testValuesWithCast(): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
val tEnv = TableEnvironment.getTableEnvironment(env)
StreamITCase.clear
val sqlQuery = "VALUES (1, cast(1 as BIGINT) )," +
"(2, cast(2 as BIGINT))," +
"(3, cast(3 as BIGINT))"
val results = tEnv.sqlQuery(sqlQuery).toRetractStream[Row]
results.addSink(new StreamITCase.RetractingSink)
env.execute()
val expected = Seq(
"1,1\n2,2\n3,3"
)
assertEquals(expected.sorted, StreamITCase.retractedResults.sorted)
}
### Output:
org.apache.flink.table.api.TableException: Cannot generate a valid execution plan for the given query:
FlinkLogicalUnion(all=[true])
FlinkLogicalCalc(expr#0=[{inputs}], expr#1=[1], expr#2=[1], EXPR$0=[$t1], EXPR$1=[$t2])
FlinkLogicalValues(tuples=[[{ 0 }]])
FlinkLogicalCalc(expr#0=[{inputs}], expr#1=[2], expr#2=[2], EXPR$0=[$t1], EXPR$1=[$t2])
FlinkLogicalValues(tuples=[[{ 0 }]])
FlinkLogicalCalc(expr#0=[{inputs}], expr#1=[3], expr#2=[3], EXPR$0=[$t1], EXPR$1=[$t2])
FlinkLogicalValues(tuples=[[{ 0 }]])
This exception indicates that the query uses an unsupported SQL feature.
Please check the documentation for the set of currently supported SQL features.
at org.apache.flink.table.api.TableEnvironment.runVolcanoPlanner(TableEnvironment.scala:274)
at org.apache.flink.table.api.StreamTableEnvironment.optimize(StreamTableEnvironment.scala:731)
at org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:778)
at org.apache.flink.table.api.scala.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:254)
at org.apache.flink.table.api.scala.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:234)
at org.apache.flink.table.api.scala.TableConversions.toRetractStream(TableConversions.scala:189)
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