HyukjinKwon commented on pull request #29212:
URL: https://github.com/apache/spark/pull/29212#issuecomment-663323801
Okay, seems it properly uses the activated Conda env.
```
Collecting py4j==0.10.9
Downloading py4j-0.10.9-py2.py3-none-any.whl (198 kB)
Building wheels for collected packages: pyspark
Building wheel for pyspark (setup.py): started
Building wheel for pyspark (setup.py): finished with status 'done'
Created wheel for pyspark:
filename=pyspark-3.1.0.dev0-py2.py3-none-any.whl size=301489400
sha256=d5ddda7599a48b31099641a4bc71ace4838cfc4f615cb133c413b67bf0eb6304
Stored in directory:
/tmp/pip-ephem-wheel-cache-5pwgtgf2/wheels/42/ef/92/48cc19770d32e29bd58811e58bc68ee45511755f8cc987fcfa
Successfully built pyspark
...
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
Running setup.py develop for pyspark
Successfully installed py4j-0.10.9 pyspark
```
@dongjoon-hyun, sorry I missed this part and I believe this is the last
touch for pip packaging test for now. Could you take a look please?
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