twdsilva commented on a change in pull request #23400: [SPARK-26499] [SQL]
JdbcUtils.getCatalystType maps TINYINT to IntegerType instead of Byte…
URL: https://github.com/apache/spark/pull/23400#discussion_r244523235
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
##########
@@ -239,7 +239,7 @@ object JdbcUtils extends Logging {
case java.sql.Types.TIMESTAMP => TimestampType
case java.sql.Types.TIMESTAMP_WITH_TIMEZONE
=> null
- case java.sql.Types.TINYINT => IntegerType
+ case java.sql.Types.TINYINT => ByteType
Review comment:
@HyukjinKwon Thank you for reviewing.
The range of ```TINYINT``` varies by database. It ranges from -128 to 127
for MySQL(https://dev.mysql.com/doc/refman/8.0/en/integer-types.html), H2
(http://www.h2database.com/html/datatypes.html#tinyint_type) and Phoenix
(https://phoenix.apache.org/language/datatypes.html#tinyint_type).
It ranges from 0 to 255 for SQL Server
(https://docs.microsoft.com/en-us/sql/t-sql/data-types/int-bigint-smallint-and-tinyint-transact-sql?view=sql-server-2017)
I think users can implement ```JdbcDialect``` to override the default JDBC
to catalyst type mapping when using the JDBC DataSource. Let me know what you
think.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
