Of course, my +1 as well, have validated basically functionality on Spark 3.0.1 and 3.1.
On Fri, Mar 4, 2022 at 2:41 PM Kevin Bates <[email protected]> wrote: > I'm +1 for the 0.5.0 release. I've updated the Enterprise Gateway test > image to use 0.5.0 with Hadoop 3.3.1 and Spark 3.2.1 and the tests look > good - basic usage, spark context, interrupt, restart, etc. > > [X] +1 Release this package as Apache Toree 0.5.0-incubating > [ ] -1 Do not release this package because ... > > > On Fri, Feb 25, 2022 at 4:04 PM Luciano Resende <[email protected]> > wrote: > >> Please vote to approve the release of Apache Toree 0.5.0-incubating (RC4). >> >> The changes in this release are mainly to add support for Spark 3.0.0. >> >> >> https://github.com/apache/incubator-toree/compare/v0.4.0-incubating-rc1...v0.5.0-incubating-rc5 >> >> Also, note that for this release, due to changes on the Incubator release >> policy, we are >> producing two pip packages, one as apache-toree and another as toree for >> backward >> compatibility purposes. >> >> Tag: v0.5.0-incubating-rc5 (a803d295d90b39881ccc3de93467a2af199e2dcd) >> >> https://github.com/apache/incubator-toree/tree/v0.5.0-incubating-rc5 >> >> All distribution packages, including signatures, digests, etc. can be >> found at: >> >> >> https://dist.apache.org/repos/dist/dev/incubator/toree/0.5.0-incubating-rc5/ >> >> Staging artifacts can be found at: >> >> https://repository.apache.org/content/repositories/orgapachetoree-1020 >> >> ## Testing Instructions >> >> The fastest way to get up and running is to using Jupyter. >> >> 1. Install Jupyter if you haven't already ( >> http://jupyter.org/install.html) >> >> 2. Install Apache Toree via `pip install >> >> https://dist.apache.org/repos/dist/dev/incubator/toree/0.5.0-incubating-rc5/toree-pip/toree-0.5.0.tar.gz` >> <https://dist.apache.org/repos/dist/dev/incubator/toree/0.5.0-incubating-rc5/toree-pip/toree-0.5.0.tar.gz> >> followed by `jupyter toree install` >> >> - You need to set a valid Apache Spark 3.x home, which can be done via >> `jupyter toree install --spark_home=/usr/local/spark` >> >> - You may need to run with `sudo` for installation permission >> >> - For all installation options, run `jupyter toree install --help-all` >> >> 4. Run a Jupyter notebook server via `jupyter notebook` >> >> - If the notebook portion of Jupyter is not installed but Jupyter is, >> you can install via `pip install notebook` >> >> 5. Create a notebook using "Apache Toree - Scala" from the dropdown under >> new >> dev >> 6. Run Scala/Spark commands such as `sc.parallelize(1 to 100).sum()` in >> the >> notebook >> >> ## Voting Instructions >> >> The vote is open for at least 72 hours and passes if a majority of at >> least >> 3 +1 PMC votes are cast. >> >> [ ] +1 Release this package as Apache Toree 0.5.0-incubating >> [ ] -1 Do not release this package because ... >> >> -- >> Luciano Resende >> http://twitter.com/lresende1975 >> http://lresende.blogspot.com/ >> > -- Luciano Resende http://twitter.com/lresende1975 http://lresende.blogspot.com/
