By the Spark server do you mean the standalone Master? It is best if they are upgraded together because there have been changes to the Master in 1.1.1. Although it might "just work", it's highly recommended to restart your cluster manager too.
2014-12-03 13:19 GMT-08:00 Romi Kuntsman <r...@totango.com>: > About version compatibility and upgrade path - can the Java application > dependencies and the Spark server be upgraded separately (i.e. will 1.1.0 > library work with 1.1.1 server, and vice versa), or do they need to be > upgraded together? > > Thanks! > > *Romi Kuntsman*, *Big Data Engineer* > http://www.totango.com > > On Tue, Dec 2, 2014 at 11:36 PM, Andrew Or <and...@databricks.com> wrote: > >> I am happy to announce the availability of Spark 1.1.1! This is a >> maintenance release with many bug fixes, most of which are concentrated in >> the core. This list includes various fixes to sort-based shuffle, memory >> leak, and spilling issues. Contributions from this release came from 55 >> developers. >> >> Visit the release notes [1] to read about the new features, or >> download [2] the release today. >> >> [1] http://spark.apache.org/releases/spark-release-1-1-1.html >> [2] http://spark.apache.org/downloads.html >> >> Please e-mail me directly for any typo's in the release notes or name >> listing. >> >> Thanks for everyone who contributed, and congratulations! >> -Andrew >> > >
