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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/14 16:54:25 UTC
[jira] [Assigned] (SPARK-5929) Pyspark: Register a pip requirements
file with spark_context
[ https://issues.apache.org/jira/browse/SPARK-5929?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-5929:
-----------------------------------
Assignee: Apache Spark
> Pyspark: Register a pip requirements file with spark_context
> ------------------------------------------------------------
>
> Key: SPARK-5929
> URL: https://issues.apache.org/jira/browse/SPARK-5929
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: buckhx
> Assignee: Apache Spark
> Priority: Minor
>
> I've been doing a lot of dependency work with shipping dependencies to workers as it is non-trivial for me to have my workers include the proper dependencies in their own environments.
> To circumvent this, I added a addRequirementsFile() method that takes a pip requirements file, downloads the packages, repackages them to be registered with addPyFiles and ship them to workers.
> Here is a comparison of what I've done on the Palantir fork
> https://github.com/buckheroux/spark/compare/palantir:master...master
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