in src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcWriterUtils.scala [106:123]
private def getCommonJDBCType(dt: DataType): Option[JdbcType] = {
dt match {
case IntegerType => Option(JdbcType("INTEGER", java.sql.Types.INTEGER))
case LongType => Option(JdbcType("BIGINT", java.sql.Types.BIGINT))
case DoubleType => Option(JdbcType("DOUBLE PRECISION", java.sql.Types.DOUBLE))
case FloatType => Option(JdbcType("REAL", java.sql.Types.FLOAT))
case ShortType => Option(JdbcType("INTEGER", java.sql.Types.SMALLINT))
case ByteType => Option(JdbcType("BYTE", java.sql.Types.TINYINT))
case BooleanType => Option(JdbcType("BIT(1)", java.sql.Types.BIT))
case StringType => Option(JdbcType("TEXT", java.sql.Types.CLOB))
case BinaryType => Option(JdbcType("BLOB", java.sql.Types.BLOB))
case TimestampType => Option(JdbcType("TIMESTAMP", java.sql.Types.TIMESTAMP))
case DateType => Option(JdbcType("DATE", java.sql.Types.DATE))
case t: DecimalType => Option(
JdbcType(s"DECIMAL(${t.precision},${t.scale})", java.sql.Types.DECIMAL))
case _ => None
}
}