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Liang-Chi Hsieh commented on SPARK-28672: ----------------------------------------- Is there any rule in Hive regarding this? like disallow duplicate permanent/temporary functions, or resolving temporary/permanent function first when duplicating? > [UDF] Duplicate function creation should not allow > --------------------------------------------------- > > Key: SPARK-28672 > URL: https://issues.apache.org/jira/browse/SPARK-28672 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.4.0 > Reporter: ABHISHEK KUMAR GUPTA > Priority: Minor > > {code} > 0: jdbc:hive2://10.18.18.214:23040/default> create function addm_3 AS > 'com.huawei.bigdata.hive.example.udf.multiply' using jar > 'hdfs://hacluster/user/Multiply.jar'; > +---------+--+ > | Result | > +---------+--+ > +---------+--+ > No rows selected (0.084 seconds) > {code} > {code} > 0: jdbc:hive2://10.18.18.214:23040/default> create temporary function addm_3 > AS 'com.huawei.bigdata.hive.example.udf.multiply' using jar > 'hdfs://hacluster/user/Multiply.jar'; > INFO : converting to local hdfs://hacluster/user/Multiply.jar > INFO : Added > [/tmp/8a396308-41f8-4335-9de4-8268ce5c70fe_resources/Multiply.jar] to class > path > INFO : Added resources: [hdfs://hacluster/user/Multiply.jar] > +---------+--+ > | Result | > +---------+--+ > +---------+--+ > No rows selected (0.134 seconds) > {code} > {code} > 0: jdbc:hive2://10.18.18.214:23040/default> show functions like addm_3; > +-----------------+--+ > | function | > +-----------------+--+ > | addm_3 | > | default.addm_3 | > +-----------------+--+ > 2 rows selected (0.047 seconds) > {code} > When show function executed it is listing both the function but what about > the db for permanent function when user has not specified. > Duplicate should not be allowed if user creating temporary one with the same > name. -- This message was sent by Atlassian Jira (v8.3.2#803003) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org