[
https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Vira Vitanska updated DLAB-1995:
--------------------------------
Description:
*(!)*
1.1 Jupyter - (/) all groups are present
1.2 Spark cluster on Jupyter - (x) R package is absent, get rid of pip2
1.3. EMR on jupyter - (x) R package is absent, get rid of pip2
2.1. Zeppelin - (/) all groups are present
2.1 Spark cluster on Zeppelin - (x) R package is absent, get rid of pip2
2.2 EMR on Zeppelin - (x) R package is absent, get rid of pip2
3.1. Rstudio - (/) all groups are present
3.2. Spark cluster on RStudio
3.3. EMR on RStudio - (x) R package is absent, get rid of pip2
4.1. TensorFlow with Jupyter - (x) pip2/pip3/r package/others are absent
4.2.Spark cluster on TensorFlow with Jupyter - (x) R package is absent, get rid
of pip2
5.1. TensorFlow with Rstudio - (x) pip2/pip3/r package/others are absent
5.2. Spark cluster on TensorFlow with Rstudio - (x) R package is absent, get
rid of pip2
----
----
*Preconditions:*
1. Any cluster is created
*Steps to reproduce:*
1. Open lib groups for compute
*Actual result:*
# Pip2 group is presenet
# R package is absent
*Expected result:*
* Pip2 group is absent
* R package is present
----
----
On top of that not all groups are present for TensorFlow with RStudio and
TensorFlow with Jupyter.
For TensorFlow with RStudio should be:
* apt/yum
* pip2
* pip3
* r package
* others
For TensorFlow with Jupyter should be:
* apt/yum
* pip2
* pip3
* r package
* Java
* others
was:
*(!)* 1.1 Jupyter - all groups are present (/)
1.2 Spark cluster on Jupyter -
1.3. EMR on jupyter
2.1. Zeppelin
2.1 Spark cluster on Zeppelin
2.2 EMR on Zeppelin
3.1. Rstudio
3.2. Spark cluster on RStudio
3.3. EMR on RStudio
4.1. TensorFlow with Jupyter
4.2.Spark cluster on TensorFlow with Jupyter
5.1. TensorFlow with Rstudio
5.2. Spark cluster on TensorFlow with Rstudio
----
----
*Preconditions:*
1. Any cluster is created
*Steps to reproduce:*
1. Open lib groups for compute
*Actual result:*
# Pip2 group is presenet
# R package is absent
*Expected result:*
* Pip2 group is absent
* R package is present
----
----
On top of that not all groups are present for TensorFlow with RStudio and
TensorFlow with Jupyter.
For TensorFlow with RStudio should be:
* apt/yum
* pip2
* pip3
* r package
* others
For TensorFlow with Jupyter should be:
* apt/yum
* pip2
* pip3
* r package
* Java
* others
> Lib groups are not adjusted for instance
> ----------------------------------------
>
> Key: DLAB-1995
> URL: https://issues.apache.org/jira/browse/DLAB-1995
> Project: Apache DLab
> Issue Type: Bug
> Components: DLab Main
> Affects Versions: v.2.4
> Reporter: Vira Vitanska
> Assignee: Oleg Fuks
> Priority: Major
> Labels: AWS, AZURE, Back-end, Debian, GCP,
> Known_issues(release2.4), RedHat
> Attachments: Group.png, TensorFlow with Jupyter.png,
> TensorFlowRstudio.png
>
>
> *(!)*
> 1.1 Jupyter - (/) all groups are present
> 1.2 Spark cluster on Jupyter - (x) R package is absent, get rid of pip2
> 1.3. EMR on jupyter - (x) R package is absent, get rid of pip2
> 2.1. Zeppelin - (/) all groups are present
> 2.1 Spark cluster on Zeppelin - (x) R package is absent, get rid of pip2
> 2.2 EMR on Zeppelin - (x) R package is absent, get rid of pip2
> 3.1. Rstudio - (/) all groups are present
> 3.2. Spark cluster on RStudio
> 3.3. EMR on RStudio - (x) R package is absent, get rid of pip2
> 4.1. TensorFlow with Jupyter - (x) pip2/pip3/r package/others are absent
> 4.2.Spark cluster on TensorFlow with Jupyter - (x) R package is absent, get
> rid of pip2
> 5.1. TensorFlow with Rstudio - (x) pip2/pip3/r package/others are absent
> 5.2. Spark cluster on TensorFlow with Rstudio - (x) R package is absent, get
> rid of pip2
>
>
> ----
> ----
> *Preconditions:*
> 1. Any cluster is created
> *Steps to reproduce:*
> 1. Open lib groups for compute
> *Actual result:*
> # Pip2 group is presenet
> # R package is absent
> *Expected result:*
> * Pip2 group is absent
> * R package is present
>
> ----
> ----
> On top of that not all groups are present for TensorFlow with RStudio and
> TensorFlow with Jupyter.
> For TensorFlow with RStudio should be:
> * apt/yum
> * pip2
> * pip3
> * r package
> * others
> For TensorFlow with Jupyter should be:
> * apt/yum
> * pip2
> * pip3
> * r package
> * Java
> * others
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