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https://issues.apache.org/jira/browse/SPARK-8386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14947815#comment-14947815
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Peter Haumer commented on SPARK-8386:
-------------------------------------
Huaxin Gao, sorry for not replying earlier. It slipped through the cracks.
I had stopped using the Spark jdbc framework completely because of this bug and
implemented my own as I need to support DB2, Derby, SQL Server, as well as
Oracle and ran into this issue with SQL Server and DB2. DB2's Limit is quite
different:
http://www-01.ibm.com/support/knowledgecenter/SSEPGG_10.5.0/com.ibm.db2.luw.sql.ref.doc/doc/r0059212.html?lang=en.
However, I ended up using the jdbc meta-data, which in fact does not perform
too well on all DBMS, though; and it might be better to provide different
queries for each DBMS here:
final ResultSet resultSet = connection.getMetaData().getTables(null,schemaName,
tableName, null);
if (resultSet.next()) {
return true;
}
> 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
> Priority: Critical
>
> 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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