Details
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Bug
-
Status: Closed
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Major
-
Resolution: Done
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v.2.4
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Apache DLab release 2.4
Description
1.1 Jupyter - all groups are present
1.2 Spark cluster on Jupyter - R package is absent, get rid of pip2
1.3. EMR on jupyter - R package is absent, get rid of pip2
2.1. Zeppelin - all groups are present
2.1 Spark cluster on Zeppelin - R package is absent, get rid of pip2
2.2 EMR on Zeppelin - 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 - R package is absent, get rid of pip2
4.1. TensorFlow with Jupyter - pip2/pip3/r package/others are absent on GCP - r package is absent on AWS
4.2.Spark cluster on TensorFlow with Jupyter - R package is absent, get rid of pip2
5.1. TensorFlow with Rstudio - all necessary packages are present on AWS, this template is present only for AWS
5.2. Spark cluster on TensorFlow with Rstudio - R package is absent, get rid of pip2
Jupyter/Zeppelin/DeepLearning/TensorFlow with Jupyter:
- apt/yum
- pip2
- pip3
- r package
- Java
- Others
Compute on Jupyter/Zeppelin/Deeplearning/TensorFlow with Jupyter:
- apt/yum
- pip3
- r package
- Java
- Others
RStudio/Tensorflow with RStudio:
- apt/yum
- pip2
- pip3
- r package
- Others
Compute on RStudio/TensorFlow with RStudio:
- apt/yum
- pip3
- r package
- Others
We don't have opportunity to install lib for JupyterLab and Superset
Preconditions:
1. Any cluster is created
Steps to reproduce:
1. Open lib groups for compute
Actual result:
- Pip2 group is present
- 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