urosstan-db commented on code in PR #59634:
URL: https://github.com/apache/spark/pull/59634#discussion_r4324036383
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala:
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@@ -304,18 +301,17 @@ object JdbcUtils extends Logging with SQLConfHelper {
/**
* Takes a [[ResultSet]] and returns its Catalyst schema.
*
+ * @param options The JDBC options of the read, which control how column
types are mapped.
* @param alwaysNullable If true, all the columns are nullable.
- * @param isTimestampNTZ If true, all timestamp columns are interpreted as
TIMESTAMP_NTZ.
* @return A [[StructType]] giving the Catalyst schema.
* @throws SQLException if the schema contains an unsupported type.
*/
def getSchema(
conn: Connection,
resultSet: ResultSet,
dialect: JdbcDialect,
- alwaysNullable: Boolean = false,
- isTimestampNTZ: Boolean = false,
- preferTimestampNanos: Boolean = false): StructType = {
+ options: JDBCOptions,
Review Comment:
I did not mean on timestampNTZAsWallClock, that affects TZ being used when
reading already mapped type, I mean on type mapping (Oracle's Date ->
timestamp), does JDBC option exist for that?
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