You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/07/24 01:02:00 UTC

[jira] [Created] (SPARK-32419) Leverage Conda environment at pip packaging test in GitHub Actions

Hyukjin Kwon created SPARK-32419:
------------------------------------

             Summary: Leverage Conda environment at pip packaging test in GitHub Actions
                 Key: SPARK-32419
                 URL: https://issues.apache.org/jira/browse/SPARK-32419
             Project: Spark
          Issue Type: Sub-task
          Components: Build, PySpark
    Affects Versions: 3.1.0
            Reporter: Hyukjin Kwon


If you take a close look for GitHub Actions log
{code:java}
 Installing dist into virtual env
Processing ./python/dist/pyspark-3.1.0.dev0.tar.gz
Collecting py4j==0.10.9
 Downloading py4j-0.10.9-py2.py3-none-any.whl (198 kB)
Using legacy setup.py install for pyspark, since package 'wheel' is not installed.
Installing collected packages: py4j, pyspark
 Running setup.py install for pyspark: started
 Running setup.py install for pyspark: finished with status 'done'
Successfully installed py4j-0.10.9 pyspark-3.1.0.dev0
...
Installing dist into virtual env
Obtaining file:///home/runner/work/spark/spark/python
Collecting py4j==0.10.9
 Downloading py4j-0.10.9-py2.py3-none-any.whl (198 kB)
Installing collected packages: py4j, pyspark
 Attempting uninstall: py4j
 Found existing installation: py4j 0.10.9
 Uninstalling py4j-0.10.9:
 Successfully uninstalled py4j-0.10.9
 Attempting uninstall: pyspark
 Found existing installation: pyspark 3.1.0.dev0
 Uninstalling pyspark-3.1.0.dev0:
 Successfully uninstalled pyspark-3.1.0.dev0
 Running setup.py develop for pyspark
Successfully installed py4j-0.10.9 pyspark{code}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org