[jira] [Commented] (SPARK-6764) Add wheel package support for PySpark

["Davies Liu (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14554825#comment-14554825 ] 

Davies Liu commented on SPARK-6764:
-----------------------------------

My first question is that, can we use wheel package just like egg file ( without pip in the worker)? Package or download them in the driver, then send them to workers. 

> Add wheel package support for PySpark
> -------------------------------------
>
>                 Key: SPARK-6764
>                 URL: https://issues.apache.org/jira/browse/SPARK-6764
>             Project: Spark
>          Issue Type: Improvement
>          Components: Deploy, PySpark
>            Reporter: Takao Magoori
>            Priority: Minor
>              Labels: newbie
>
> We can do _spark-submit_ with one or more Python packages (.egg,.zip and .jar) by *--py-files* option.
> h4. zip packaging
> Spark put a zip file on its working directory and adds the absolute path to Python's sys.path. When the user program imports it, [zipimport|https://docs.python.org/2.7/library/zipimport.html] is automatically invoked under the hood. That is, data-files and dynamic modules(.pyd .so) can not be used since zipimport supports only .py, .pyc and .pyo.
> h4. egg packaging
> Spark put an egg file on its working directory and adds the absolute path to Python's sys.path. Unlike zipimport, egg can handle data files and dynamid modules as far as the author of the package uses [pkg_resources API|https://pythonhosted.org/setuptools/formats.html#other-technical-considerations] properly. But so many python modules does not use pkg_resources API, that causes "ImportError"or "No such file" error. Moreover, creating eggs of dependencies and further dependencies are troublesome job.
> h4. wheel packaging
> Supporting new Python standard package-format "[wheel|https://wheel.readthedocs.org/en/latest/]" would be nice. With wheel, we can do spark-submit with complex dependencies simply as follows.
> 1. Write requirements.txt file.
> {noformat}
> SQLAlchemy
> MySQL-python
> requests
> simplejson>=3.6.0,<=3.6.5
> pydoop
> {noformat}
> 2. Do wheel packaging by only one command. All dependencies are wheel-ed.
> {noformat}
> $ your_pip_dir/pip wheel --wheel-dir /tmp/wheelhouse --requirement requirements.txt
> {noformat}
> 3. Do spark-submit
> {noformat}
> your_spark_home/bin/spark-submit --master local[4] --py-files $(find /tmp/wheelhouse/ -name "*.whl" -print0 | sed -e 's/\x0/,/g') your_driver.py
> {noformat}
> If your pyspark driver is a package which consists of many modules,
> 1. Write setup.py for your pyspark driver package.
> {noformat}
> from setuptools import (
>     find_packages,
>     setup,
> )
> setup(
>     name='yourpkg',
>     version='0.0.1',
>     packages=find_packages(),
>     install_requires=[
>         'SQLAlchemy',
>         'MySQL-python',
>         'requests',
>         'simplejson>=3.6.0,<=3.6.5',
>         'pydoop',
>     ],
> )
> {noformat}
> 2. Do wheel packaging by only one command. Your driver package and all dependencies are wheel-ed.
> {noformat}
> your_pip_dir/pip wheel --wheel-dir /tmp/wheelhouse your_driver_package/.
> {noformat}
> 3. Do spark-submit
> {noformat}
> your_spark_home/bin/spark-submit --master local[4] --py-files $(find /tmp/wheelhouse/ -name "*.whl" -print0 | sed -e 's/\x0/,/g') your_driver_bootstrap.py
> {noformat}



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