I noticed that the Jackson dependency was bumped to 2.5 in master for something spark-streaming related. Is there any reason that this upgrade can't be included with 1.6.1?
According to later comments on this thread: https://issues.apache.org/jira/browse/SPARK-8332 and my personal experience using with Spark with Jackson 2.5 hasn't caused any issues but it does have some useful new features. It should be fully backwards compatible according to the Jackson folks. On Mon, Feb 1, 2016 at 10:29 AM Ted Yu <yuzhih...@gmail.com> wrote: > SPARK-12624 has been resolved. > According to Wenchen, SPARK-12783 is fixed in 1.6.0 release. > > Are there other blockers for Spark 1.6.1 ? > > Thanks > > On Wed, Jan 13, 2016 at 5:39 PM, Michael Armbrust <mich...@databricks.com> > wrote: > >> Hey All, >> >> While I'm not aware of any critical issues with 1.6.0, there are several >> corner cases that users are hitting with the Dataset API that are fixed in >> branch-1.6. As such I'm considering a 1.6.1 release. >> >> At the moment there are only two critical issues targeted for 1.6.1: >> - SPARK-12624 - When schema is specified, we should treat undeclared >> fields as null (in Python) >> - SPARK-12783 - Dataset map serialization error >> >> When these are resolved I'll likely begin the release process. If there >> are any other issues that we should wait for please contact me. >> >> Michael >> > >
