Release Spark Connector 2.9.2
·
80 commits
to master
since this release
Fixed some critical issues:
- For the DataFrame read and write queries, the connector now logs the query ID and the URL to display the query details.
- When a Spark application fails or is cancelled, the connector now cancels all running queries executed by that Spark application.
- Added the configuration options timestamp_ntz_output_format, timestamp_ltz_output_format, and timestamp_tz_output_format for specifying the output format for timestamp values. By default, these are set as "YYYY-MM-DD HH24:MI:SS.FF3", "TZHTZM YYYY-MM-DD HH24:MI:SS.FF3", and "TZHTZM YYYY-MM-DD HH24:MI:SS.FF3". If they are set to “sf_current”, which means that the connector uses the formats specified for the session.
- Updated the connector to use the latest version of the Snowflake JDBC Driver (3.13.10).