Maciej Bryński created FLINK-22982:
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Summary: java.lang.ClassCastException when using Python UDF
Key: FLINK-22982
URL:
https://issues.apache.org/jira/browse/FLINK-22982 Project: Flink
Issue Type: Bug
Components: API / Python
Affects Versions: 1.13.1
Reporter: Maciej Bryński
Hi,
I'm trying to use Python UDF with logical condition as argument.
{code:java}
log = logging.getLogger()@udf(result_type=DataTypes.BOOLEAN())
def trace(message, condition):
if condition:
log.warn(message)
return condition
table_env.create_temporary_function('trace', trace)
table_env.execute_sql("""
CREATE TABLE datagen (
n int
) WITH (
'connector' = 'datagen',
'number-of-rows' = '10'
)
""")
result = table_env.sql_query("""
SELECT *
FROM datagen
WHERE trace(n, n < 0)
""")
for r in result.execute().collect():
print(r){code}
As a result I'm getting exception:
{code:java}
Py4JJavaError: An error occurred while calling o135.execute.
: java.lang.ClassCastException: class org.apache.calcite.rex.RexInputRef cannot be cast to class org.apache.calcite.rex.RexCall (org.apache.calcite.rex.RexInputRef and org.apache.calcite.rex.RexCall are in unnamed module of loader 'app')
at org.apache.flink.table.planner.plan.rules.logical.PythonMapMergeRule.matches(PythonMapMergeRule.java:70)
at org.apache.calcite.plan.hep.HepPlanner.applyRule(HepPlanner.java:538)
at org.apache.calcite.plan.hep.HepPlanner.applyRules(HepPlanner.java:407)
at org.apache.calcite.plan.hep.HepPlanner.executeInstruction(HepPlanner.java:243)
at org.apache.calcite.plan.hep.HepInstruction$RuleInstance.execute(HepInstruction.java:127)
at org.apache.calcite.plan.hep.HepPlanner.executeProgram(HepPlanner.java:202)
at org.apache.calcite.plan.hep.HepPlanner.findBestExp(HepPlanner.java:189)
at org.apache.flink.table.planner.plan.optimize.program.FlinkHepProgram.optimize(FlinkHepProgram.scala:69)
at org.apache.flink.table.planner.plan.optimize.program.FlinkHepRuleSetProgram.optimize(FlinkHepRuleSetProgram.scala:87)
at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:62)
at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:58)
{code}
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