You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/08/07 20:06:00 UTC

[jira] [Resolved] (SPARK-21648) Confusing assert failure in JDBC source when users misspell the option `partitionColumn`

     [ https://issues.apache.org/jira/browse/SPARK-21648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-21648.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0
                   2.2.1

> Confusing assert failure in JDBC source when users misspell the option `partitionColumn`
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-21648
>                 URL: https://issues.apache.org/jira/browse/SPARK-21648
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Xiao Li
>            Assignee: Xiao Li
>             Fix For: 2.2.1, 2.3.0
>
>
> {noformat}
> CREATE TABLE mytesttable1 
> USING org.apache.spark.sql.jdbc 
>   OPTIONS ( 
>   url 'jdbc:mysql://${jdbcHostname}:${jdbcPort}/${jdbcDatabase}?user=${jdbcUsername}&password=${jdbcPassword}', 
>   dbtable 'mytesttable1', 
>   paritionColumn 'state_id', 
>   lowerBound '0', 
>   upperBound '52', 
>   numPartitions '53', 
>   fetchSize '10000' 
> )
> {noformat}
> The above option name `paritionColumn` is wrong. That mean, users did not provide the value for `partitionColumn`. In such case, users hit a confusing error
> {noformat}
> AssertionError: assertion failed
> java.lang.AssertionError: assertion failed
> 	at scala.Predef$.assert(Predef.scala:156)
> 	at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:39)
> 	at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:312)
> {noformat}



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org