You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@spark.apache.org by Nicolas Paris <ni...@riseup.net> on 2020/01/21 17:29:17 UTC
Best approach to write UDF
Hi
I have written spark udf and I am able to use them in spark scala /
pyspark by using the org.apache.spark.sql.api.java.UDFx API.
I d'like to use them in spark-sql thought thrift. I tried to create the
functions "create function as 'org.my.MyUdf'". however I get the below
error when using it:
> org.apache.spark.sql.AnalysisException: No handler for UDF/UDAF/UDTF 'org.my.MyUdf';
I have read there (https://stackoverflow.com/a/56970800/3865083) that
only the org.apache.hadoop.hive.ql.exec.UDF API works for thrift.
How one can write UDF the good way ?
Thanks
--
nicolas
---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscribe@spark.apache.org