[ https://issues.apache.org/jira/browse/FLINK-28526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xingbo Huang reassigned FLINK-28526: ------------------------------------ Assignee: Xingbo Huang > Fail to lateral join with UDTF from Table with timstamp column > -------------------------------------------------------------- > > Key: FLINK-28526 > URL: https://issues.apache.org/jira/browse/FLINK-28526 > Project: Flink > Issue Type: Bug > Components: API / Python > Affects Versions: 1.15.1 > Reporter: Xuannan Su > Assignee: Xingbo Huang > Priority: Major > > The bug can be reproduced with the following test > {code:python} > def test_flink(self): > env = StreamExecutionEnvironment.get_execution_environment() > t_env = StreamTableEnvironment.create(env) > table = t_env.from_descriptor( > TableDescriptor.for_connector("filesystem") > .schema( > Schema.new_builder() > .column("name", DataTypes.STRING()) > .column("cost", DataTypes.INT()) > .column("distance", DataTypes.INT()) > .column("time", DataTypes.TIMESTAMP(3)) > .watermark("time", "`time` - INTERVAL '60' SECOND") > .build() > ) > .format("csv") > .option("path", "./input.csv") > .build() > ) > @udtf(result_types=DataTypes.INT()) > def table_func(row: Row): > return row.cost + row.distance > table = table.join_lateral(table_func.alias("cost_times_distance")) > table.execute().print() > {code} > It causes the following exception > {code:none} > E pyflink.util.exceptions.TableException: > org.apache.flink.table.api.TableException: Unsupported Python SqlFunction > CAST. > E at > org.apache.flink.table.planner.plan.nodes.exec.utils.CommonPythonUtil.createPythonFunctionInfo(CommonPythonUtil.java:146) > E at > org.apache.flink.table.planner.plan.nodes.exec.utils.CommonPythonUtil.createPythonFunctionInfo(CommonPythonUtil.java:429) > E at > org.apache.flink.table.planner.plan.nodes.exec.utils.CommonPythonUtil.createPythonFunctionInfo(CommonPythonUtil.java:135) > E at > org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecPythonCorrelate.extractPythonTableFunctionInfo(CommonExecPythonCorrelate.java:133) > E at > org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecPythonCorrelate.createPythonOneInputTransformation(CommonExecPythonCorrelate.java:106) > E at > org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecPythonCorrelate.translateToPlanInternal(CommonExecPythonCorrelate.java:95) > E at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:148) > E at > org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:249) > E at > org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.java:136) > E at > org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:148) > E at > org.apache.flink.table.planner.delegation.StreamPlanner.$anonfun$translateToPlan$1(StreamPlanner.scala:79) > E at > scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233) > E at scala.collection.Iterator.foreach(Iterator.scala:937) > E at scala.collection.Iterator.foreach$(Iterator.scala:937) > E at > scala.collection.AbstractIterator.foreach(Iterator.scala:1425) > E at scala.collection.IterableLike.foreach(IterableLike.scala:70) > E at scala.collection.IterableLike.foreach$(IterableLike.scala:69) > E at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > E at > scala.collection.TraversableLike.map(TraversableLike.scala:233) > E at > scala.collection.TraversableLike.map$(TraversableLike.scala:226) > E at > scala.collection.AbstractTraversable.map(Traversable.scala:104) > E at > org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:78) > E at > org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:181) > E at > org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1656) > E at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeQueryOperation(TableEnvironmentImpl.java:828) > E at > org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:1317) > E at > org.apache.flink.table.api.internal.TableImpl.execute(TableImpl.java:605) > E at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > E at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > E at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > E at java.lang.reflect.Method.invoke(Method.java:498) > E at > org.apache.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) > E at > org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) > E at > org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282) > E at > org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > E at > org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79) > E at > org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238) > E at java.lang.Thread.run(Thread.java:748) > {code} -- This message was sent by Atlassian Jira (v8.20.10#820010)