[
https://issues.apache.org/jira/browse/SPARK-12928?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15115332#comment-15115332
]
Apache Spark commented on SPARK-12928:
--------------------------------------
User 'poolis' has created a pull request for this issue:
https://github.com/apache/spark/pull/10899
> Oracle FLOAT datatype is not properly handled when reading via JDBC
> -------------------------------------------------------------------
>
> Key: SPARK-12928
> URL: https://issues.apache.org/jira/browse/SPARK-12928
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Environment: Oracle Database 11g Enterprise Edition 11.2.0.3.0
> 64bit Production
> Reporter: Greg Michalopoulos
> Priority: Minor
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> When trying to read in a table from Oracle and saveAsParquet, an
> IllegalArgumentException is thrown when a column of FLOAT datatype is
> encountered.
> Below is the code being run:
> {code}val jdbcDF = sqlContext.read.format("jdbc").options(
> Map("url" -> jdbcConnectionString,
> "dbtable" -> "(select someFloat from someTable"),
> "fetchSize" -> fetchSize)).load()
> jdbcDF.saveAsParquetFile(destinationDirectory + table)
> {code}
> Here is the exception:
> {code}java.lang.IllegalArgumentException: Unsupported dataType:
> {"type":"struct","fields":[{"name":"someFloat","type":"decimal(38,-127)","nullable":true,"metadata":{"name":"someFloat"}}]},
> [1.1] failure: `TimestampType' expected but `{' found
> {code}
> From the exception it was clear that the FLOAT datatype was presenting itself
> as scale -127 which appears to be the problem.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
