Hi, I am trying to do a join in spark using udfs in the join condition, but getting the error shown below: The joins work fine without udfs. Is is possibel to use udfs in the manner below. The udfs work fine in select etc. result_df = t1_df.join(t2_df, _udf1(t1_df['col1']) == _udf2(t2_df['col1']), "inner") File "/usr/hdp/2.3.4.14-9/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 584, in join File "/usr/hdp/2.3.4.14-9/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__ File "/usr/hdp/2.3.4.14-9/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 36, in deco File "/usr/hdp/2.3.4.14-9/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o79.join. : java.lang.ClassCastException: org.apache.spark.sql.catalyst.plans.logical.Project cannot be cast to org.apache.spark.sql.catalyst.plans.logical.Join at org.apache.spark.sql.DataFrame.join(DataFrame.scala:554) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379) at py4j.Gateway.invoke(Gateway.java:259) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:207) at java.lang.Thread.run(Thread.java:745) ... View more