Github user srowen commented on a diff in the pull request: https://github.com/apache/spark/pull/14377#discussion_r73189845 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/jdbc/OracleDialect.scala --- @@ -26,30 +26,38 @@ private case object OracleDialect extends JdbcDialect { override def canHandle(url: String): Boolean = url.startsWith("jdbc:oracle") - override def getCatalystType( - sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): Option[DataType] = { + override def getCatalystType(sqlType: Int, typeName: String, size: Int, md: MetadataBuilder): + Option[DataType] = sqlType match { // Handle NUMBER fields that have no precision/scale in special way // because JDBC ResultSetMetaData converts this to 0 precision and -127 scale // For more details, please see // https://github.com/apache/spark/pull/8780#issuecomment-145598968 // and // https://github.com/apache/spark/pull/8780#issuecomment-144541760 - if (sqlType == Types.NUMERIC && size == 0) { - // This is sub-optimal as we have to pick a precision/scale in advance whereas the data - // in Oracle is allowed to have different precision/scale for each value. + case Types.NUMERIC if size == 0 => Option(DecimalType(DecimalType.MAX_PRECISION, 10)) + // Handle FLOAT fields in a special way because JDBC ResultSetMetaData converts + // this to NUMERIC with -127 scale + // Not sure if there is a more robust way to identify the field as a float (or other + // numeric types that do not specify a scale. + case Types.NUMERIC if md.build().getLong("scale") == -127 => --- End diff -- @wangyum I can merge this, since it looks reasonable, even though I'm not an Oracle expert. Can we streamline this a bit by only computing `md.build().getLong("scale")` once? The repeated matching of `Types.NUMERIC` could be done once in an `if` statement and be clearer.
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