+1 I created a simple target in our Makefile to test a release. Pass the URL to the pip package and it will install it on jupyter inside a docker container. I tested using that and ran a notebook. It all worked.
On Wed, Jan 11, 2017 at 8:21 AM Marius van Niekerk < [email protected]> wrote: > +1 > > Ran some sample spark notebooks in yarn-client mode against the provided > binaries and a locally built copy. > > -Marius van Niekerk > > > On Wed, 11 Jan 2017 at 00:38 Luciano Resende <[email protected]> wrote: > > > +1 > > > > Went over some legal files, verified some parts of the uber jar, built > > locally, etc > > > > > > On Tue, Jan 10, 2017 at 2:15 PM, Chip Senkbeil <[email protected]> > > wrote: > > > > > Please vote to approve the release of the following candidate as Apache > > > Toree version 0.1.0. Pay special attention to the LICENSE and NOTICE > > files > > > since this is our first release. > > > > > > ## Information and Artifacts > > > > > > The tag to be voted on is v0.1.0-rc4 > > > (1d526954ecaba1d5dc0f40ec555dd598b2b11df7), located here: > > > > > > https://github.com/apache/incubator-toree/commit/ > > > 1d526954ecaba1d5dc0f40ec555dd598b2b11df7 > > > > > > All distribution packages, including signatures, digests, etc. can be > > found > > > at: > > > > > > https://dist.apache.org/repos/dist/dev/incubator/toree/0.1.0/rc4/ > > > > > > Staging artifacts can be found at: > > > > > > > https://repository.apache.org/content/repositories/orgapachetoree-1002/ > > > > > > ## 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. Grab the Apache Toree archive from > > > https://dist.apache.org/repos/dist/dev/incubator/toree/0.1. > > > 0/rc4/toree-pip/apache-toree-0.1.0.tar.gz > > > > > > 3. Install Apache Toree via `pip install apache-toree-0.1.0.tar.gz` > > > followed by `jupyter toree install` > > > > > > - You need to set a valid Spark 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 > > > > > > - If you want other interpreter profiles than Scala, you can change > > the > > > interpreters via `jupyter toree install --interpreters=PySpark,SQL` > > > > > > 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 0.1.0 > > > [ ] -1 Do not release this package because ... > > > > > > > > > > > -- > > Luciano Resende > > http://twitter.com/lresende1975 > > http://lresende.blogspot.com/ > > > -- > regards > Marius van Niekerk >
