[ 
https://issues.apache.org/jira/browse/LIVY-790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Stefan Avesand updated LIVY-790:
--------------------------------
    Description: 
When executing fbprophet the Livy session gets corrupted and stops working 
properly.

Code to reproduce:

{{import pandas as pd, fbprophet}}

{{df = pd.DataFrame({}}
{{  'ds': ['2019-02-26','2019-02-27','2019-02-28','2019-03-01','2019-03-02'],}}
{{  'y': [121,119,118,119,118]})}}
{{m = fbprophet.Prophet()}}
{{m.fit(df)}}

This issue seems to concern all cases when stdout is written to outside of 
native Python, e.g. by running a subprocess:

{{import subprocess}}
 {{subprocess.run(["pip", "install", "pyyaml"])}}

  was:
When executing fbprophet the Livy session gets corrupted and stops working 
properly.

Code to reproduce:

{{import io, pandas as pd, fbprophet}}

{{csv = io.StringIO('''}}
 {{ds,y}}
 {{2019-02-26,121}}
 {{2019-02-27,119}}
 {{2019-02-28,118}}
 {{2019-03-01,119}}
 {{2019-03-02,118}}
 {{2019-03-03,117}}
 {{2019-03-04,116}}
 {{2019-03-05,118}}
 {{2019-03-06,122}}
 {{2019-03-07,124}}
 {{''')}}

{{df = pd.read_csv(csv)}}
 {{m = fbprophet.Prophet()}}
 {{m.fit(df)}}

This issue seems to concern all cases when stdout is written to outside of 
native Python, e.g. by running a subprocess:

{{import subprocess}}
 {{subprocess.run(["pip", "install", "pyyaml"])}}


> Corrupted Livy session when using fbprophet
> -------------------------------------------
>
>                 Key: LIVY-790
>                 URL: https://issues.apache.org/jira/browse/LIVY-790
>             Project: Livy
>          Issue Type: Bug
>    Affects Versions: 0.7.0
>         Environment: Using Livy on Google Dataproc from Jupyter with 
> sparkmagic
>            Reporter: Stefan Avesand
>            Priority: Major
>
> When executing fbprophet the Livy session gets corrupted and stops working 
> properly.
> Code to reproduce:
> {{import pandas as pd, fbprophet}}
> {{df = pd.DataFrame({}}
> {{  'ds': 
> ['2019-02-26','2019-02-27','2019-02-28','2019-03-01','2019-03-02'],}}
> {{  'y': [121,119,118,119,118]})}}
> {{m = fbprophet.Prophet()}}
> {{m.fit(df)}}
> This issue seems to concern all cases when stdout is written to outside of 
> native Python, e.g. by running a subprocess:
> {{import subprocess}}
>  {{subprocess.run(["pip", "install", "pyyaml"])}}



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