Here's another thread to start considering, and I know it's been raised before. What version(s) of Hive should Spark 3 support?
If at least we know it won't include Hive 0.x, could we go ahead and remove those tests from master? It might significantly reduce the run time and flakiness. It seems that maintaining even the Hive 1.x fork is untenable going forward, right? does that also imply this support is almost certainly not maintained in 3.0? Per below, it seems like it might even be hard to both support Hive 3 and Hadoop 2 at the same time? And while we're at it, what's the + and - for simply only supporting Hadoop 3 in Spark 3? Is the difference in client / HDFS API even that big? Or what about focusing only on Hadoop 2.9.x support + 3.x support? Lots of questions, just interested now in informal reactions, not a binding decision. On Thu, Oct 25, 2018 at 11:49 PM Dagang Wei <notificati...@github.com> wrote: > Do we really want to switch to Hive 2.3? From this page > https://hive.apache.org/downloads.html, Hive 2.3 works with Hadoop 2.x > (Hive 3.x works with Hadoop 3.x). > > — > You are receiving this because you were mentioned. > Reply to this email directly, view it on GitHub > <https://github.com/apache/spark/pull/21588#issuecomment-433285287>, or mute > the thread > <https://github.com/notifications/unsubscribe-auth/AAyM-sRygel3il6Ne4FafD5BQ7NDSJ7Mks5uopRlgaJpZM4Usweh> > . >
