[
https://issues.apache.org/jira/browse/FLINK-22106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated FLINK-22106:
-----------------------------------
Labels: pull-request-available (was: )
> ResultType of GeneratedExpression in StringCallGen should be compatible with
> their definition in FlinkSqlOperatorTable
> ----------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-22106
> URL: https://issues.apache.org/jira/browse/FLINK-22106
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / API
> Affects Versions: 1.13.0
> Reporter: Caizhi Weng
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.13.0
>
>
> Add the following test case to {{TableEnvironmentITCase}} to reproduce this
> bug:
> {code:scala}
> @Test
> def myTest(): Unit = {
> tEnv.executeSql(
> """
> |CREATE TABLE my_source (
> | a VARCHAR(10)
> |) WITH (
> | 'connector'='values',
> | 'bounded'='true'
> |)
> |""".stripMargin)
> tEnv.explainSql("SELECT ifnull(substring(a, 2, 5), 'null') FROM my_source")
> }
> {code}
> The exception stack is
> {code}
> org.apache.flink.table.planner.codegen.CodeGenException: Mismatch of
> function's argument data type 'VARCHAR(10)' and actual argument type 'STRING'.
> at
> org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil$$anonfun$verifyArgumentTypes$1.apply(BridgingFunctionGenUtil.scala:323)
> at
> org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil$$anonfun$verifyArgumentTypes$1.apply(BridgingFunctionGenUtil.scala:320)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil$.verifyArgumentTypes(BridgingFunctionGenUtil.scala:320)
> at
> org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil$.generateFunctionAwareCallWithDataType(BridgingFunctionGenUtil.scala:95)
> at
> org.apache.flink.table.planner.codegen.calls.BridgingFunctionGenUtil$.generateFunctionAwareCall(BridgingFunctionGenUtil.scala:65)
> at
> org.apache.flink.table.planner.codegen.calls.BridgingSqlFunctionCallGen.generate(BridgingSqlFunctionCallGen.scala:73)
> at
> org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateCallExpression(ExprCodeGenerator.scala:832)
> at
> org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:529)
> at
> org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:56)
> at org.apache.calcite.rex.RexCall.accept(RexCall.java:174)
> at
> org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateExpression(ExprCodeGenerator.scala:155)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator$$anonfun$2.apply(CalcCodeGenerator.scala:141)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator$$anonfun$2.apply(CalcCodeGenerator.scala:141)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator$.produceProjectionCode$1(CalcCodeGenerator.scala:141)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator$.generateProcessCode(CalcCodeGenerator.scala:167)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator$.generateCalcOperator(CalcCodeGenerator.scala:50)
> at
> org.apache.flink.table.planner.codegen.CalcCodeGenerator.generateCalcOperator(CalcCodeGenerator.scala)
> at
> org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecCalc.translateToPlanInternal(CommonExecCalc.java:94)
> at
> org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:127)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:71)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:70)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:70)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner.explain(StreamPlanner.scala:109)
> at
> org.apache.flink.table.planner.delegation.StreamPlanner.explain(StreamPlanner.scala:47)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.explainInternal(TableEnvironmentImpl.java:691)
> at
> org.apache.flink.table.api.internal.TableEnvironmentImpl.explainSql(TableEnvironmentImpl.java:677)
> {code}
> This is because the return type inference of {{SUBSTR}} in
> {{FlinkSqlOperatorTable}} is {{ARG0_VARCHAR_FORCE_NULLABLE}}, but the result
> type of the GeneratedExpression is {{VARCHAR(INT_MAX)}}.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
