[jira] [Assigned] (SPARK-17996) catalog.getFunction(name) returns wrong result for a permanent function

2016-10-18 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-17996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-17996:


Assignee: Apache Spark  (was: Herman van Hovell)

> catalog.getFunction(name) returns wrong result for a permanent function
> ---
>
> Key: SPARK-17996
> URL: https://issues.apache.org/jira/browse/SPARK-17996
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Herman van Hovell
>Assignee: Apache Spark
>Priority: Minor
>
> The catalog returns a wrong result, if we lookup a permanent function without 
> specifying the database. For example:
> {noformat}
> scala> sql("create function fn1 as 
> 'org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs'")
> res0: org.apache.spark.sql.DataFrame = []
> scala> spark.catalog.getFunction("fn1")
> res1: org.apache.spark.sql.catalog.Function = Function[name='fn1', 
> className='org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs', 
> isTemporary='true']
> {noformat}
> It should not return that this function is temporary and define a database.



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[jira] [Assigned] (SPARK-17996) catalog.getFunction(name) returns wrong result for a permanent function

2016-10-18 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-17996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-17996:


Assignee: Herman van Hovell  (was: Apache Spark)

> catalog.getFunction(name) returns wrong result for a permanent function
> ---
>
> Key: SPARK-17996
> URL: https://issues.apache.org/jira/browse/SPARK-17996
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Reporter: Herman van Hovell
>Assignee: Herman van Hovell
>Priority: Minor
>
> The catalog returns a wrong result, if we lookup a permanent function without 
> specifying the database. For example:
> {noformat}
> scala> sql("create function fn1 as 
> 'org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs'")
> res0: org.apache.spark.sql.DataFrame = []
> scala> spark.catalog.getFunction("fn1")
> res1: org.apache.spark.sql.catalog.Function = Function[name='fn1', 
> className='org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs', 
> isTemporary='true']
> {noformat}
> It should not return that this function is temporary and define a database.



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