[
https://issues.apache.org/jira/browse/FLINK-10845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16708943#comment-16708943
]
ASF GitHub Bot commented on FLINK-10845:
----------------------------------------
twalthr commented on a change in pull request #7079: [FLINK-10845][table]
Support multiple different DISTINCT aggregates for batch
URL: https://github.com/apache/flink/pull/7079#discussion_r238731972
##########
File path:
flink-libraries/flink-table/src/main/scala/org/apache/flink/table/codegen/calls/ScalarOperators.scala
##########
@@ -191,7 +191,17 @@ object ScalarOperators {
)
)
}
- }
+ }
+
+ def generateDistinctFrom(
+ nullCheck: Boolean,
+ left: GeneratedExpression,
+ right: GeneratedExpression)
+ : GeneratedExpression = {
+ val newleft = left.copy(nullTerm = GeneratedExpression.NEVER_NULL)
Review comment:
@xueyumusic You can also do it like this (pseudo code):
```
${left.code}
${right.code}
resultTerm;
if (${left.nullTerm}) {
resultTerm = ${right.nullTerm}
} else if (${right.nullTerm}) {
resultTerm = ${left.nullTerm}
} else {
resultTerm = generateEqual(
false, // no null check required in equals
${left.copy(code = NO_CODE)},
${right.copy(code = NO_CODE)})
}
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
> Support DISTINCT aggregates for batch
> -------------------------------------
>
> Key: FLINK-10845
> URL: https://issues.apache.org/jira/browse/FLINK-10845
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Timo Walther
> Assignee: xueyu
> Priority: Major
> Labels: pull-request-available
>
> Currently, we support distinct aggregates for streaming. However, executing
> the same query on batch like the following test:
> {code}
> val env = ExecutionEnvironment.getExecutionEnvironment
> val tEnv = TableEnvironment.getTableEnvironment(env)
> val sqlQuery =
> "SELECT b, " +
> " SUM(DISTINCT (a / 3)), " +
> " COUNT(DISTINCT SUBSTRING(c FROM 1 FOR 2))," +
> " COUNT(DISTINCT c) " +
> "FROM MyTable " +
> "GROUP BY b"
> val data = new mutable.MutableList[(Int, Long, String)]
> data.+=((1, 1L, "Hi"))
> data.+=((2, 2L, "Hello"))
> data.+=((3, 2L, "Hello world"))
> data.+=((4, 3L, "Hello world, how are you?"))
> data.+=((5, 3L, "I am fine."))
> data.+=((6, 3L, "Luke Skywalker"))
> data.+=((7, 4L, "Comment#1"))
> data.+=((8, 4L, "Comment#2"))
> data.+=((9, 4L, "Comment#3"))
> data.+=((10, 4L, "Comment#4"))
> data.+=((11, 5L, "Comment#5"))
> data.+=((12, 5L, "Comment#6"))
> data.+=((13, 5L, "Comment#7"))
> data.+=((14, 5L, "Comment#8"))
> data.+=((15, 5L, "Comment#9"))
> data.+=((16, 6L, "Comment#10"))
> data.+=((17, 6L, "Comment#11"))
> data.+=((18, 6L, "Comment#12"))
> data.+=((19, 6L, "Comment#13"))
> data.+=((20, 6L, "Comment#14"))
> data.+=((21, 6L, "Comment#15"))
> val t = env.fromCollection(data).toTable(tEnv).as('a, 'b, 'c)
> tEnv.registerTable("MyTable", t)
> tEnv.sqlQuery(sqlQuery).toDataSet[Row].print()
> {code}
> Fails with:
> {code}
> org.apache.flink.table.codegen.CodeGenException: Unsupported call: IS NOT
> DISTINCT FROM
> If you think this function should be supported, you can create an issue and
> start a discussion for it.
> at
> org.apache.flink.table.codegen.CodeGenerator$$anonfun$visitCall$3.apply(CodeGenerator.scala:1027)
> at
> org.apache.flink.table.codegen.CodeGenerator$$anonfun$visitCall$3.apply(CodeGenerator.scala:1027)
> at scala.Option.getOrElse(Option.scala:121)
> at
> org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:1027)
> at
> org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:66)
> at org.apache.calcite.rex.RexCall.accept(RexCall.java:107)
> at
> org.apache.flink.table.codegen.CodeGenerator.generateExpression(CodeGenerator.scala:247)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetJoin.addInnerJoin(DataSetJoin.scala:221)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetJoin.translateToPlan(DataSetJoin.scala:170)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetCalc.translateToPlan(DataSetCalc.scala:91)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetJoin.translateToPlan(DataSetJoin.scala:165)
> at
> org.apache.flink.table.plan.nodes.dataset.DataSetCalc.translateToPlan(DataSetCalc.scala:91)
> at
> org.apache.flink.table.api.BatchTableEnvironment.translate(BatchTableEnvironment.scala:498)
> at
> org.apache.flink.table.api.BatchTableEnvironment.translate(BatchTableEnvironment.scala:476)
> at
> org.apache.flink.table.api.scala.BatchTableEnvironment.toDataSet(BatchTableEnvironment.scala:141)
> at
> org.apache.flink.table.api.scala.TableConversions.toDataSet(TableConversions.scala:50)
> at
> org.apache.flink.table.runtime.stream.sql.SqlITCase.testDistinctGroupBy(SqlITCase.scala:2
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
