[jira] [Created] (SPARK-12928) Oracle FLOAT datatype is not properly handled when reading via JDBC

["Greg Michalopoulos (JIRA)" <ji...@apache.org>]

Greg Michalopoulos created SPARK-12928:
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             Summary: 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


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. 




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