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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