[GitHub] [incubator-dlab] OlehMartushevskyi merged pull request #623: [DLAB-1570]: Rarely notebook creation fails on stage of 'npm' installation fixed

2020-02-27 Thread GitBox
OlehMartushevskyi merged pull request #623: [DLAB-1570]: Rarely notebook 
creation fails on stage of 'npm' installation fixed
URL: https://github.com/apache/incubator-dlab/pull/623
 
 
   


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[GitHub] [incubator-dlab] bodnarmykola opened a new pull request #623: [DLAB-1570]: Rarely notebook creation fails on stage of 'npm' installation fixed

2020-02-27 Thread GitBox
bodnarmykola opened a new pull request #623: [DLAB-1570]: Rarely notebook 
creation fails on stage of 'npm' installation fixed
URL: https://github.com/apache/incubator-dlab/pull/623
 
 
   


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[jira] [Updated] (DLAB-1570) Rarely notebook creation fails on stage of 'npm' installation

2020-02-27 Thread ASF GitHub Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated DLAB-1570:
-
Labels: AWS AZURE Debian DevOps GCP RedHat pull-request-available  (was: 
AWS AZURE Debian DevOps GCP RedHat)

> Rarely notebook creation fails on stage of 'npm' installation
> -
>
> Key: DLAB-1570
> URL: https://issues.apache.org/jira/browse/DLAB-1570
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat, 
> pull-request-available
> Fix For: v.2.3
>
> Attachments: ungit.png
>
>
> *Preconditions:*
> 1. Project is created
> *Steps to reproduce:*
> 1. Create notebook
> *Actual result:*
> 1. Notebook creation fails
> *Expected result:*
> 1. Notebook is created successful



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[jira] [Updated] (DLAB-1553) Project termination should delete only project bucket, but not endpoint bucket

2020-02-27 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1553?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1553:

Description: 
*SSN is created on AWS:*
 1. If create edge on local endpoint two buckets will be created 
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#00875a}project-local-bucket -deletes{color}

*SSN is created on GCP:*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#00875a}project-local-bucket -remains{color} - 
{color:#4c9aff}verified now the bucket deletes{color}

*SSN is created on AZURE*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}project-local-bucket -deletes{color}
 - {color:#00875a}endpoint-local-shared-bucket remains{color}

*Remote endpoint AWS/Azure/GCP*
 1. If create edge on remote endpoint AWS/Azure/GCP two buckets will be created
 - {color:#00875a}project-remote-bucket{color}
 - {color:#00875a}endpoint-remote-shared-bucket{color}

2. If delete edge on remote endpoint (Azure)
 - {color:#00875a}project-remote-bucket deletes {color}
 - {color:#de350b}endpoint-remote-shared-bucket deletes{color}
 - {color:#de350b} fails the edge (on the same remote endpoint) in the other 
project{color}

3. If delete edge on remote endpoint (GCP)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#de350b}project-remote-bucket remains{color}

4. If delete edge on remote endpoint (AWS)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#00875a} project-remote-bucket deletes{color}

  was:
*SSN is created on AWS:*
 1. If create edge on local endpoint two buckets will be created 
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#00875a}project-local-bucket -deletes{color}

*SSN is created on GCP:*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#de350b}project-local-bucket -remains - {color:#4c9aff}verified now 
the bucket deletes{color}{color}

*SSN is created on AZURE*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}project-local-bucket -deletes{color}
 - {color:#00875a}endpoint-local-shared-bucket remains{color}

*Remote endpoint AWS/Azure/GCP*
 1. If create edge on remote endpoint AWS/Azure/GCP two buckets will be created
 - {color:#00875a}project-remote-bucket{color}
 - {color:#00875a}endpoint-remote-shared-bucket{color}

2. If delete edge on remote endpoint (Azure)
 - {color:#00875a}project-remote-bucket deletes {color}
 - {color:#de350b}endpoint-remote-shared-bucket deletes{color}
 - {color:#de350b} fails the edge (on the same remote endpoint) in the other 
project{color}

3. If delete edge on remote endpoint (GCP)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#de350b}project-remote-bucket remains{color}

4. If delete edge on remote endpoint (AWS)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#00875a} project-remote-bucket deletes{color}


> Project termination should delete only project bucket, but not endpoint bucket
> --
>
> Key: DLAB-1553
> URL: https://issues.apache.org/jira/browse/DLAB-1553
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat, 
> pull-request-available
> Fix For: v.2.3
>
>  Time Spent: 20m
>  Remaining Estimate: 0h
>
> *SSN is created on AWS:*
>  1. If create edge on local endpoint two buckets will be created 
>  - {color:#00875a}endpoint-local-shared-bucket{color}
>  - {color:#00875a}project-local-bucket{color}
> 2. If delete edge on local endpoint
>  - {color:#00875a}endpoint-local-shared-bucket remains{color}
>  - {color:#00875a}project-local-bucket -deletes{c

[jira] [Updated] (DLAB-1553) Project termination should delete only project bucket, but not endpoint bucket

2020-02-27 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1553?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1553:

Description: 
*SSN is created on AWS:*
 1. If create edge on local endpoint two buckets will be created 
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#00875a}project-local-bucket -deletes{color}

*SSN is created on GCP:*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}endpoint-local-shared-bucket remains{color}
 - {color:#de350b}project-local-bucket -remains - {color:#4c9aff}verified now 
the bucket deletes{color}{color}

*SSN is created on AZURE*
 1. If create edge on local endpoint two buckets will be created
 - {color:#00875a}endpoint-local-shared-bucket{color}
 - {color:#00875a}project-local-bucket{color}

2. If delete edge on local endpoint
 - {color:#00875a}project-local-bucket -deletes{color}
 - {color:#00875a}endpoint-local-shared-bucket remains{color}

*Remote endpoint AWS/Azure/GCP*
 1. If create edge on remote endpoint AWS/Azure/GCP two buckets will be created
 - {color:#00875a}project-remote-bucket{color}
 - {color:#00875a}endpoint-remote-shared-bucket{color}

2. If delete edge on remote endpoint (Azure)
 - {color:#00875a}project-remote-bucket deletes {color}
 - {color:#de350b}endpoint-remote-shared-bucket deletes{color}
 - {color:#de350b} fails the edge (on the same remote endpoint) in the other 
project{color}

3. If delete edge on remote endpoint (GCP)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#de350b}project-remote-bucket remains{color}

4. If delete edge on remote endpoint (AWS)
 - {color:#00875a}endpoint-remote-shared-bucket remains{color}
 - {color:#00875a} project-remote-bucket deletes{color}

  was:
*SSN is created on AWS:*
1. If create edge on local endpoint two buckets will be created 
 - {color:#00875A}endpoint-local-shared-bucket{color}
 - {color:#00875A}project-local-bucket{color}

 2. If delete edge on local endpoint
- {color:#00875A}endpoint-local-shared-bucket remains{color}
- {color:#00875A}project-local-bucket -deletes{color}

*SSN is created on GCP:*
1. If create edge on local endpoint two buckets will be created
- {color:#00875A}endpoint-local-shared-bucket{color}
- {color:#00875A}project-local-bucket{color}

2. If delete edge on local endpoint 
- {color:#00875A}endpoint-local-shared-bucket remains{color}
- {color:#DE350B}project-local-bucket -remains{color}

*SSN is created on AZURE*
1. If create edge on local endpoint two buckets will be created
- {color:#00875A}endpoint-local-shared-bucket{color}
- {color:#00875A}project-local-bucket{color}

2. If delete edge on local endpoint 
- {color:#00875A}project-local-bucket -deletes{color}
- {color:#00875A}endpoint-local-shared-bucket remains{color}

*Remote endpoint AWS/Azure/GCP*
1. If create edge on remote endpoint AWS/Azure/GCP two buckets will be created
- {color:#00875A}project-remote-bucket{color}
- {color:#00875A}endpoint-remote-shared-bucket{color}

2. If delete edge on remote endpoint (Azure)
- {color:#00875A}project-remote-bucket deletes {color}
- {color:#DE350B}endpoint-remote-shared-bucket deletes{color}
- {color:#DE350B} fails the edge (on the same remote endpoint) in the other 
project{color}

3. If delete edge on remote endpoint (GCP)
- {color:#00875A}endpoint-remote-shared-bucket remains{color}
- {color:#DE350B}project-remote-bucket remains{color}

4. If delete edge on remote endpoint (AWS)
- {color:#00875A}endpoint-remote-shared-bucket remains{color}
- {color:#00875A} project-remote-bucket deletes{color}


> Project termination should delete only project bucket, but not endpoint bucket
> --
>
> Key: DLAB-1553
> URL: https://issues.apache.org/jira/browse/DLAB-1553
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Major
>  Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat, 
> pull-request-available
> Fix For: v.2.3
>
>  Time Spent: 20m
>  Remaining Estimate: 0h
>
> *SSN is created on AWS:*
>  1. If create edge on local endpoint two buckets will be created 
>  - {color:#00875a}endpoint-local-shared-bucket{color}
>  - {color:#00875a}project-local-bucket{color}
> 2. If delete edge on local endpoint
>  - {color:#00875a}endpoint-local-shared-bucket remains{color}
>  - {color:#00875a}project-local-bucket -deletes{color}
> *SSN is created on GCP:*
>  1. If create edge on local endpoint two b

[jira] [Assigned] (DLAB-1595) [Azure]: Remote endpoint creation fails

2020-02-27 Thread Oleh Martushevskyi (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Oleh Martushevskyi reassigned DLAB-1595:


Assignee: Leonid Frolov  (was: Oleh Martushevskyi)

> [Azure]: Remote endpoint creation fails
> ---
>
> Key: DLAB-1595
> URL: https://issues.apache.org/jira/browse/DLAB-1595
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Major
>  Labels: AZURE, Debian, DevOps, RedHat
> Fix For: v.2.3
>
> Attachments: azure.jpg
>
>
> *Preconditions:*
> 1. SSN is created on Azure
> *Steps to reproduce:*
> 1. Create remote endpoint on Azure via Jenkins job
> *Actual result:*
> 1. Remote endpoint creation fails
> *Expected result:*
> 1. Remote endpoint is created



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[jira] [Created] (DLAB-1595) [Azure]: Remote endpoint creation fails

2020-02-27 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-1595:
---

 Summary: [Azure]: Remote endpoint creation fails
 Key: DLAB-1595
 URL: https://issues.apache.org/jira/browse/DLAB-1595
 Project: Apache DLab
  Issue Type: Bug
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Oleh Martushevskyi
 Fix For: v.2.3
 Attachments: azure.jpg

*Preconditions:*

1. SSN is created on Azure

*Steps to reproduce:*

1. Create remote endpoint on Azure via Jenkins job

*Actual result:*

1. Remote endpoint creation fails

*Expected result:*

1. Remote endpoint is created



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[jira] [Created] (DLAB-1594) Add support of Let's Encrypt certificates

2020-02-27 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-1594:
---

 Summary: Add support of Let's Encrypt certificates
 Key: DLAB-1594
 URL: https://issues.apache.org/jira/browse/DLAB-1594
 Project: Apache DLab
  Issue Type: Task
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Oleh Martushevskyi
 Fix For: v.2.3






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[jira] [Created] (DLAB-1593) Add functionality to create domains for SSN/Edge nodes

2020-02-27 Thread Vira Vitanska (Jira)
Vira Vitanska created DLAB-1593:
---

 Summary: Add functionality to create domains for SSN/Edge nodes
 Key: DLAB-1593
 URL: https://issues.apache.org/jira/browse/DLAB-1593
 Project: Apache DLab
  Issue Type: Task
  Components: DLab Main
Reporter: Vira Vitanska
Assignee: Oleh Martushevskyi
 Fix For: v.2.3






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[GitHub] [incubator-dlab] DG1202 opened a new pull request #622: small style fix

2020-02-27 Thread GitBox
DG1202 opened a new pull request #622: small style fix
URL: https://github.com/apache/incubator-dlab/pull/622
 
 
   


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[GitHub] [incubator-dlab] DG1202 merged pull request #622: small style fix

2020-02-27 Thread GitBox
DG1202 merged pull request #622: small style fix
URL: https://github.com/apache/incubator-dlab/pull/622
 
 
   


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[jira] [Commented] (DLAB-1412) [AWS]: Spark-submit --version runs with error for EMR v.5.19.0

2020-02-27 Thread Mykola Bodnar (Jira)


[ 
https://issues.apache.org/jira/browse/DLAB-1412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046497#comment-17046497
 ] 

Mykola Bodnar commented on DLAB-1412:
-

On hold: will be fixed by updating EMR version

> [AWS]: Spark-submit --version runs with error for EMR v.5.19.0
> --
>
> Key: DLAB-1412
> URL: https://issues.apache.org/jira/browse/DLAB-1412
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
> Environment: AWS
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Trivial
>  Labels: AWS, Debian, DevOps
> Fix For: v.2.3
>
> Attachments: Spark submit version.png, Spark-submit version, 
> Spark-submit version.png
>
>
> *Preconditions:*
> 1. EMR v.5.19.0 is created
> *Steps to reproduce:*
>  # Go to EMR via ssh
>  # Run a command 'spark-submit --version'
> *Actual result:*
> 1. Error appears: log4j:ERROR Either File or DatePattern options are not set 
> for appender [DRFA-stderr].
>  log4j:ERROR setFile(null,true) call failed.
>  java.io.FileNotFoundException: /stdout (Permission denied)
> *Expected result:*
> 1. There is no any error
>  



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[jira] [Commented] (DLAB-539) Connection to EMR v.5.19 kernel PySpark (Python-3.4 / Spark-2.3.2) can't be established on Jupyter

2020-02-27 Thread Mykola Bodnar (Jira)


[ 
https://issues.apache.org/jira/browse/DLAB-539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046492#comment-17046492
 ] 

Mykola Bodnar commented on DLAB-539:


On hold: it will be fixed by updating EMR version

> Connection to EMR v.5.19 kernel PySpark (Python-3.4 / Spark-2.3.2) can't be 
> established on Jupyter
> --
>
> Key: DLAB-539
> URL: https://issues.apache.org/jira/browse/DLAB-539
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Old
>Reporter: Anna Orlovska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: 2.3_old, AWS, DevOps, Known_issues(release2.2)
> Fix For: v.2.3
>
> Attachments: EMR 519 Jupyter 6.0.2.png, EMR519.png, Status.png
>
>
> *Preconditions:*
>  EMR v.5.19 for Jupyter is created and running.
> *Steps to reproduce:*
>  # Choose EMR kernel PySpark (Python-3.4 / Spark-2.2.1) for running
> *Actual result:*
>  EMR kernel is NOT started successfully
> *Expected result:*
>  EMR kernel is started successfully
>  
> EMR kernel is not started only for EMR v.5.19. 
> And on the other Jupyter for EMR[5.19] it is the same glitch with starting.



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[jira] [Assigned] (DLAB-1577) [Azure]: Flight data visualization runs error warning on RStudio

2020-02-27 Thread Oleh Martushevskyi (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Oleh Martushevskyi reassigned DLAB-1577:


Assignee: Leonid Frolov  (was: Oleh Martushevskyi)

> [Azure]: Flight data visualization runs error warning on RStudio
> 
>
> Key: DLAB-1577
> URL: https://issues.apache.org/jira/browse/DLAB-1577
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Leonid Frolov
>Priority: Minor
>  Labels: AZURE, Debian, DevOps
> Fix For: v.2.3
>
> Attachments: RStudio.png, comment.pdf
>
>
> *Preconditions:*
>  # SSN is created on Azure
>  # Remote endpoint is created on Azure
>  # RStudio is created on remote endpoint
> *Steps to reproduce:*
> 1. Run Flight data visualization on RStudio
> *Actual result:*
> 1. Playbook runs with error
> *Expected result:*
> 1. Playbook runs without error



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[GitHub] [incubator-dlab] OlehMartushevskyi merged pull request #620: [DLAB-625][Dev] Created Jupyterlab template for Azure

2020-02-27 Thread GitBox
OlehMartushevskyi merged pull request #620: [DLAB-625][Dev] Created Jupyterlab 
template for Azure
URL: https://github.com/apache/incubator-dlab/pull/620
 
 
   


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[GitHub] [incubator-dlab] OlehMartushevskyi merged pull request #621: [DLAB-625][odahu-int] Created Jupyterlab template for Azure

2020-02-27 Thread GitBox
OlehMartushevskyi merged pull request #621: [DLAB-625][odahu-int] Created 
Jupyterlab template for Azure
URL: https://github.com/apache/incubator-dlab/pull/621
 
 
   


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[GitHub] [incubator-dlab] Dyoma33 opened a new pull request #621: [DLAB-625] Created Jupyterlab template for Azure

2020-02-27 Thread GitBox
Dyoma33 opened a new pull request #621: [DLAB-625] Created Jupyterlab template 
for Azure
URL: https://github.com/apache/incubator-dlab/pull/621
 
 
   


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[jira] [Updated] (DLAB-625) [Convolution notebook in docker image][Azure]: Add provision script for Debian

2020-02-27 Thread ASF GitHub Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated DLAB-625:

Labels: 2.3_old AZURE Debian DevOps pull-request-available  (was: 2.3_old 
AZURE Debian DevOps)

> [Convolution notebook in docker image][Azure]: Add provision script for Debian
> --
>
> Key: DLAB-625
> URL: https://issues.apache.org/jira/browse/DLAB-625
> Project: Apache DLab
>  Issue Type: Task
>  Components: DLab Old
>Reporter: Demyan Mysakovets
>Assignee: Demian Mysakovets
>Priority: Major
>  Labels: 2.3_old, AZURE, Debian, DevOps, pull-request-available
> Fix For: v.2.3
>
>
> Add provision script for Debian OS family on Azure cloud provider



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[GitHub] [incubator-dlab] Dyoma33 opened a new pull request #620: [DLAB-625] Created Jupyterlab template for Azure

2020-02-27 Thread GitBox
Dyoma33 opened a new pull request #620: [DLAB-625] Created Jupyterlab template 
for Azure
URL: https://github.com/apache/incubator-dlab/pull/620
 
 
   


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[jira] [Updated] (DLAB-1436) [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template

2020-02-27 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1436:

Sprint:   (was: Apache DLab release 2.3)

> [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template
> -
>
> Key: DLAB-1436
> URL: https://issues.apache.org/jira/browse/DLAB-1436
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, Debian, DevOps
> Attachments: RStudio-Tensor.png
>
>
> *Preconditions:*
> 1. Rstudio-TensorFlow is created
> *Steps to reproduce:*
> 1. Run R_templ.r playbook on Rstudio-TensorFlow
> *Actual result:*
> 1. Playbook runs with error 
> *Expected result:*
> Playbook runs successfully
>  



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[jira] [Commented] (DLAB-1436) [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template

2020-02-27 Thread Vira Vitanska (Jira)


[ 
https://issues.apache.org/jira/browse/DLAB-1436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046325#comment-17046325
 ] 

Vira Vitanska commented on DLAB-1436:
-

On hold:

It will be fixed by updating TensorFlow version.

> [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template
> -
>
> Key: DLAB-1436
> URL: https://issues.apache.org/jira/browse/DLAB-1436
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, Debian, DevOps
> Fix For: v.2.3
>
> Attachments: RStudio-Tensor.png
>
>
> *Preconditions:*
> 1. Rstudio-TensorFlow is created
> *Steps to reproduce:*
> 1. Run R_templ.r playbook on Rstudio-TensorFlow
> *Actual result:*
> 1. Playbook runs with error 
> *Expected result:*
> Playbook runs successfully
>  



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[jira] [Updated] (DLAB-1436) [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template

2020-02-27 Thread Vira Vitanska (Jira)


 [ 
https://issues.apache.org/jira/browse/DLAB-1436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Vira Vitanska updated DLAB-1436:

Fix Version/s: (was: v.2.3)

> [AWS]: R_templ.r playbook runs with error on RStudio with TensorFlow template
> -
>
> Key: DLAB-1436
> URL: https://issues.apache.org/jira/browse/DLAB-1436
> Project: Apache DLab
>  Issue Type: Bug
>  Components: DLab Main
>Reporter: Vira Vitanska
>Assignee: Mykola Bodnar
>Priority: Minor
>  Labels: AWS, Debian, DevOps
> Attachments: RStudio-Tensor.png
>
>
> *Preconditions:*
> 1. Rstudio-TensorFlow is created
> *Steps to reproduce:*
> 1. Run R_templ.r playbook on Rstudio-TensorFlow
> *Actual result:*
> 1. Playbook runs with error 
> *Expected result:*
> Playbook runs successfully
>  



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