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https://issues.apache.org/jira/browse/FLINK-27212?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17522618#comment-17522618
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Wenlong Lyu commented on FLINK-27212:
-------------------------------------
[~matriv] I think you may have some misunderstanding here. Regarding x'XXX', it
means a hexdecimal
literal(https://dev.mysql.com/doc/refman/8.0/en/hexadecimal-literals.html), it
requires even number of values, the error in calcite means that the literal is
illegal. it is irrelevant to the casting behavior I think.
BTW, we may need a FLIP for such kind of change to collect more feedbacks from
devs and users. I think it is better to keep it the same as former versions,
and make the decision later.
> Failed to CAST('abcde', VARBINARY)
> ----------------------------------
>
> Key: FLINK-27212
> URL: https://issues.apache.org/jira/browse/FLINK-27212
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Runtime
> Affects Versions: 1.16.0
> Reporter: Shengkai Fang
> Assignee: Marios Trivyzas
> Priority: Blocker
> Fix For: 1.16.0
>
>
> Please add test in the CalcITCase
> {code:scala}
> @Test
> def testCalc(): Unit = {
> val sql =
> """
> |SELECT CAST('abcde' AS VARBINARY(6))
> |""".stripMargin
> val result = tEnv.executeSql(sql)
> print(result.getResolvedSchema)
> result.print()
> }
> {code}
> The exception is
> {code:java}
> Caused by: org.apache.flink.table.api.TableException: Odd number of
> characters.
> at
> org.apache.flink.table.utils.EncodingUtils.decodeHex(EncodingUtils.java:203)
> at StreamExecCalc$33.processElement(Unknown Source)
> at
> org.apache.flink.streaming.runtime.tasks.ChainingOutput.pushToOperator(ChainingOutput.java:99)
> at
> org.apache.flink.streaming.runtime.tasks.ChainingOutput.collect(ChainingOutput.java:80)
> at
> org.apache.flink.streaming.runtime.tasks.ChainingOutput.collect(ChainingOutput.java:39)
> at
> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:56)
> at
> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:29)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:418)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:513)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$SwitchingOnClose.collect(StreamSourceContexts.java:103)
> at
> org.apache.flink.streaming.api.functions.source.InputFormatSourceFunction.run(InputFormatSourceFunction.java:92)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:67)
> at
> org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:332)
> {code}
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