Caizhi Weng created FLINK-22106:
-----------------------------------
Summary: 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
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)}}.
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