GitHub user robbles opened a pull request:
https://github.com/apache/spark/pull/2167
Allow using custom ipython executable with pyspark
Although you can make pyspark use ipython with `IPYTHON=1`, and also change
the python executable with `PYSPARK_PYTHON=...`, you can't use both at the same
time because it hardcodes the default ipython script.
This makes it use the `PYSPARK_PYTHON` variable if present and fall back to
default python, similarly to how the default python executable is handled.
So you can use a custom ipython like so:
`PYSPARK_PYTHON=./anaconda/bin/ipython IPYTHON_OPTS="notebook" pyspark`
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/robbles/spark patch-1
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2167.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2167
----
commit d98e8a9870212c853d4d0ceeb471b54edcc8aa8c
Author: Rob O'Dwyer <[email protected]>
Date: 2014-08-27T20:50:07Z
Allow using custom ipython executable with pyspark
Although you can make pyspark use ipython with `IPYTHON=1`, and also change
the python executable with `PYSPARK_PYTHON=...`, you can't use both at the same
time because it hardcodes the default ipython script.
This makes it use the `PYSPARK_PYTHON` variable if present and fall back to
default python, similarly to how the default python executable is handled.
So you can use a custom ipython like so:
`PYSPARK_PYTHON=./anaconda/bin/ipython IPYTHON_OPTS="notebook" pyspark`
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