We still have several blockers for 2.1, so I imagine at least one will mean this won't be the final RC:
SPARK-18318 ML, Graph 2.1 QA: API: New Scala APIs, docs SPARK-18319 ML, Graph 2.1 QA: API: Experimental, DeveloperApi, final, sealed audit SPARK-18326 SparkR 2.1 QA: New R APIs and API docs SPARK-18516 Separate instantaneous state from progress performance statistics SPARK-18538 Concurrent Fetching DataFrameReader JDBC APIs Do Not Work SPARK-18553 Executor loss may cause TaskSetManager to be leaked However I understand the purpose here is of course to get started testing early and we should all do so. BTW here are the Critical issues still open: SPARK-12347 Write script to run all MLlib examples for testing SPARK-16032 Audit semantics of various insertion operations related to partitioned tables SPARK-17861 Store data source partitions in metastore and push partition pruning into metastore SPARK-18091 Deep if expressions cause Generated SpecificUnsafeProjection code to exceed JVM code size limit SPARK-18274 Memory leak in PySpark StringIndexer SPARK-18316 Spark MLlib, GraphX 2.1 QA umbrella SPARK-18322 ML, Graph 2.1 QA: Update user guide for new features & APIs SPARK-18323 Update MLlib, GraphX websites for 2.1 SPARK-18324 ML, Graph 2.1 QA: Programming guide update and migration guide SPARK-18329 Spark R 2.1 QA umbrella SPARK-18330 SparkR 2.1 QA: Update user guide for new features & APIs SPARK-18331 Update SparkR website for 2.1 SPARK-18332 SparkR 2.1 QA: Programming guide, migration guide, vignettes updates SPARK-18468 Flaky test: org.apache.spark.sql.hive.HiveSparkSubmitSuite.SPARK-9757 Persist Parquet relation with decimal column SPARK-18549 Failed to Uncache a View that References a Dropped Table. SPARK-18560 Receiver data can not be dataSerialized properly. On Tue, Nov 29, 2016 at 1:26 AM Reynold Xin <r...@databricks.com> wrote: > Please vote on releasing the following candidate as Apache Spark version > 2.1.0. The vote is open until Thursday, December 1, 2016 at 18:00 UTC and > passes if a majority of at least 3 +1 PMC votes are cast. > > [ ] +1 Release this package as Apache Spark 2.1.0 > [ ] -1 Do not release this package because ... > > > To learn more about Apache Spark, please see http://spark.apache.org/ > > The tag to be voted on is v2.1.0-rc1 > (80aabc0bd33dc5661a90133156247e7a8c1bf7f5) > > The release files, including signatures, digests, etc. can be found at: > http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc1-bin/ > > Release artifacts are signed with the following key: > https://people.apache.org/keys/committer/pwendell.asc > > The staging repository for this release can be found at: > https://repository.apache.org/content/repositories/orgapachespark-1216/ > > The documentation corresponding to this release can be found at: > http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc1-docs/ > > > ======================================= > How can I help test this release? > ======================================= > If you are a Spark user, you can help us test this release by taking an > existing Spark workload and running on this release candidate, then > reporting any regressions. > > =============================================================== > What should happen to JIRA tickets still targeting 2.1.0? > =============================================================== > Committers should look at those and triage. Extremely important bug fixes, > documentation, and API tweaks that impact compatibility should be worked on > immediately. Everything else please retarget to 2.1.1 or 2.2.0. > > >
