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Dan Blanchard commented on SPARK-13587: --------------------------------------- One thing to note is that conda doesn't use the same requirements file format as virtualenv/pip. You'll want to use [conda env create|http://conda.pydata.org/docs/commands/env/conda-env-create.html] uses their own separate YAML format. I have a [pull request open to support requirements.txt files|https://github.com/conda/conda-env/pull/172], but that has been waiting for action for some time. > Support virtualenv in PySpark > ----------------------------- > > Key: SPARK-13587 > URL: https://issues.apache.org/jira/browse/SPARK-13587 > Project: Spark > Issue Type: Improvement > Components: PySpark > Reporter: Jeff Zhang > > Currently, it's not easy for user to add third party python packages in > pyspark. > * One way is to using --py-files (suitable for simple dependency, but not > suitable for complicated dependency, especially with transitive dependency) > * Another way is install packages manually on each node (time wasting, and > not easy to switch to different environment) > Python has now 2 different virtualenv implementation. One is native > virtualenv another is through conda. This jira is trying to migrate these 2 > tools to distributed environment -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org