[jira] [Resolved] (SPARK-8386) DataFrame and JDBC regression

["Reynold Xin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8386?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-8386.
--------------------------------
       Resolution: Fixed
         Assignee: Huaxin Gao
    Fix Version/s: 1.6.0
                   1.5.2
                   1.4.2

> DataFrame and JDBC regression
> -----------------------------
>
>                 Key: SPARK-8386
>                 URL: https://issues.apache.org/jira/browse/SPARK-8386
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0
>         Environment: RHEL 7.1
>            Reporter: Peter Haumer
>            Assignee: Huaxin Gao
>            Priority: Critical
>             Fix For: 1.4.2, 1.5.2, 1.6.0
>
>
> I have an ETL app that appends to a JDBC table new results found at each run.  In 1.3.1 I did this:
> testResultsDF.insertIntoJDBC(CONNECTION_URL, TABLE_NAME, false);
> When I do this now in 1.4 it complains that the "object" 'TABLE_NAME' already exists. I get this even if I switch the overwrite to true.  I also tried this now:
> testResultsDF.write().mode(SaveMode.Append).jdbc(CONNECTION_URL, TABLE_NAME, connectionProperties);
> getting the same error. It works running the first time creating the new table and adding data successfully. But, running it a second time it (the jdbc driver) will tell me that the table already exists. Even SaveMode.Overwrite will give me the same error. 



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