[jira] [Assigned] (DLAB-1996) Issues if install library with unfound version
[ https://issues.apache.org/jira/browse/DLAB-1996?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska reassigned DLAB-1996: --- Sprint: Apache DLab release 2.4 Assignee: Leonid Frolov Description: # If install library with wrong version: * for apt/yum for notebook. The library is installed and it is absent that it has been wrong version * for pip3/pip2/others for notebook/compute/. Docker runs with '1' and status is stuck in 'installing' was: # If install library with wrong version: * for apt/yum for notebook. The library is installed and it is absent that it has been wrong version * for pip3/pip2/others. Docker runs with '1' and status is stuck in 'installing' Labels: AWS AZURE Debian DevOps GCP RedHat (was: ) Summary: Issues if install library with unfound version (was: []) > Issues if install library with unfound version > -- > > Key: DLAB-1996 > URL: https://issues.apache.org/jira/browse/DLAB-1996 > Project: Apache DLab > Issue Type: Bug >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat > Attachments: P1 - apt-yum - docker1.png, P1 - apt-yum UI.png, P1 - > apt-yum docker2.png, P2 - pip UI.png, P2 - pip UI2.png, P2 - pip docker1.png, > P2 - pip docker2.png, P2 - pip provisioning.png, P2 - pip response.png, P2- > pip docker3.png > > > # If install library with wrong version: > * for apt/yum for notebook. The library is installed and it is absent that > it has been wrong version > * for pip3/pip2/others for notebook/compute/. Docker runs with '1' and > status is stuck in 'installing' -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-1976) [Front-end]: Add information if autocomplete does not work
[ https://issues.apache.org/jira/browse/DLAB-1976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176571#comment-17176571 ] Vira Vitanska commented on DLAB-1976: - *Closed:* Commit ID b4e1a5fc3f9aeea6ab574c10fa2209f1ec0e6bc3. > [Front-end]: Add information if autocomplete does not work > -- > > Key: DLAB-1976 > URL: https://issues.apache.org/jira/browse/DLAB-1976 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Major > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat > Attachments: Point 3.png > > > # If autocomplete does not work show information: > 'Autocomplete is currently unavailable for group' > > 2. [Library management]: Do not allow to add library if it is not selected > from 'Library name' from drop down list > 3. Sometimes notebook lib group is gained for compute or likewise (view > attachment) > > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1974) Show 'invalid version' if lib installation fails due to wrong version
[ https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1974: Attachment: Reopened - p5-pivottable.png > Show 'invalid version' if lib installation fails due to wrong version > - > > Key: DLAB-1974 > URL: https://issues.apache.org/jira/browse/DLAB-1974 > Project: Apache DLab > Issue Type: Task >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Minor > Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat, > pull-request-available > Attachments: Augment error message.png, Augment2.png, Available > version.png, P5 - pivottable 2.png, P6 -docker.png, P6 provisioning.png, P6 > response.png, P7 - docker 2.png, P7 - provisioning.png, P7-docker1.png, > P7-rstudio UI.png, Pandas1.png, Pandas2.png, Pandas3.png, Pip.png, Point 6 > UI.png, Point8 - Tensorflow-rstudio.png, Point8 TensorFlow-Rstudio3.png, > Point8- Tensorflow-Rstuio2.png, Reopened - p5-pivottable.png, apt-yum.png, > ggplot2.png, p5 - Pivottable.png > > > 1. If lib installation fails due to wrong version convey invalid version > How it works now (for example if version contains space): > - R package: Docker runs with '0', shows 'installation error' and it is retry > - Pip/apt/yum packages: Docker runs with '1' and status is still in > 'installing' > (i) removed versions from tmp log file name, for R it shows invalid version > in version contains invalid characters. > (+) Invalid characters are blocked from UI side > > > 2. Augment error message for library installation ( from r package). > Available version value is empty > (i) "available_versions": [""] was not empty, now it is []. error message is > installation_error > (+) Now status is 'invalid name' > > > 3. For EMR pandas/matplotlib are installed but it is shown 'error > installation' due to some dependencies are not installed. This case is > reproduced for pip3 group. > (i) now "installation_error" status is shown only if there was any kind of > error during lib installation and lib has not been installed. error message > is returned to backend, but I am note sure whether it will be shown on UI or > not. (should be shown) > (+) > > > 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be > installed via terminal > (i) fixed > (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 > > > 5. If user does not type library version and installation fails - convey > 'installation error' instead of 'invalid version'. It was found for EMR > (others group) 'pivottable' > (i) previously returned invalid version with available versions = none. Now > returns installation_error with error message > (-) The bug is still reproduced for compute/Notebook > > > 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the > other template): If install library from apt/yum package and indicate wrong > version docker runs with '1' and library status remains 'installing' in DLab > UI > (i) fixed > (+) > > > 7. Rstudio (others group): Pivottablejs installation with correct version > <0.2.0> was stuck in 'installing' status and docker run with '1' > (i) there was a whitespace in version < 0.2.0> > (+) Now whitespace is blocked from UI side > > > 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and > installation status is still 'installing' in Web UI (i) fixed > (!) Could not check. It is blocked by ticket > https://issues.apache.org/jira/browse/DLAB-1995 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1974) Show 'invalid version' if lib installation fails due to wrong version
[ https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1974: Description: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. (+) Invalid characters are blocked from UI side 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error (+) Now status is 'invalid name' 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) (+) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message (-) The bug is still reproduced for compute/Notebook 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed (+) 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> (+) Now whitespace is blocked from UI side 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed (!) Could not check. It is blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 was: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. (+) Invalid characters are blocked from UI side 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error (+) Now status is 'invalid name' 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) (+) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message (-) The bug is still reproduced and for compute/Notebook 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed (+) 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> (+) Now whitespace is blocked from UI side 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1974) Show 'invalid version' if lib installation fails due to wrong version
[ https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1974: Description: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. (+) Invalid characters are blocked from UI side 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error (+) Now status is 'invalid name' 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) (+) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed (!) Blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message (-) The bug is still reproduced and for compute/Notebook 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed (+) 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> (+) Now whitespace is blocked from UI side 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed (!) Could not check. It is blocked by ticket https://issues.apache.org/jira/browse/DLAB-1995 was: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. (+) Invalid characters are blocked from UI side 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error (+) Now status is 'invalid name' 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message (-) The bug is still 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> (+) Now whitespace is blocked from UI side 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed > Show 'invalid version' if lib installation fails due to wrong version >
[jira] [Created] (DLAB-1996) []
Vira Vitanska created DLAB-1996: --- Summary: [] Key: DLAB-1996 URL: https://issues.apache.org/jira/browse/DLAB-1996 Project: Apache DLab Issue Type: Bug Reporter: Vira Vitanska Attachments: P1 - apt-yum - docker1.png, P1 - apt-yum UI.png, P1 - apt-yum docker2.png, P2 - pip UI.png, P2 - pip UI2.png, P2 - pip docker1.png, P2 - pip docker2.png, P2 - pip provisioning.png, P2 - pip response.png, P2- pip docker3.png # If install library with wrong version: * for apt/yum for notebook. The library is installed and it is absent that it has been wrong version * for pip3/pip2/others. Docker runs with '1' and status is stuck in 'installing' -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ 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 - 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 was: *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 - > 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Attachment: TensorFlow with Jupyter.png > 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 > > > *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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Description: *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: *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. For TensorFlow with RStudio should be: * apt/yum * pip2 * pip3 * r package * 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, TensorFlowRstudio.png > > > *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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Description: *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. For TensorFlow with RStudio should be: * apt/yum * pip2 * pip3 * r package * others was: *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 > 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, TensorFlowRstudio.png > > > *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. For > TensorFlow with RStudio should be: > * apt/yum > * pip2 > * pip3 > * r package > * others -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Attachment: TensorFlowRstudio.png > 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, TensorFlowRstudio.png > > > *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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Description: *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 was: *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 > 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 > > > *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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for instance
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Summary: Lib groups are not adjusted for instance (was: Lib groups are not adjusted for compute) > 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 > > > *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 > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1974) Show 'invalid version' if lib installation fails due to wrong version
[ https://issues.apache.org/jira/browse/DLAB-1974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1974: Description: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. (+) Invalid characters are blocked from UI side 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error (+) Now status is 'invalid name' 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message (-) The bug is still 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> (+) Now whitespace is blocked from UI side 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed was: 1. If lib installation fails due to wrong version convey invalid version How it works now (for example if version contains space): - R package: Docker runs with '0', shows 'installation error' and it is retry - Pip/apt/yum packages: Docker runs with '1' and status is still in 'installing' (i) removed versions from tmp log file name, for R it shows invalid version in version contains invalid characters. 2. Augment error message for library installation ( from r package). Available version value is empty (i) "available_versions": [""] was not empty, now it is []. error message is installation_error 3. For EMR pandas/matplotlib are installed but it is shown 'error installation' due to some dependencies are not installed. This case is reproduced for pip3 group. (i) now "installation_error" status is shown only if there was any kind of error during lib installation and lib has not been installed. error message is returned to backend, but I am note sure whether it will be shown on UI or not. (should be shown) 4. For EMR ggplot2 (r package) is not installed via DLab UI, but it can be installed via terminal (i) fixed 5. If user does not type library version and installation fails - convey 'installation error' instead of 'invalid version'. It was found for EMR (others group) 'pivottable' (i) previously returned invalid version with available versions = none. Now returns installation_error with error message 6. For EMR (it was found on RStudio, perhaps it is reproduced and for the other template): If install library from apt/yum package and indicate wrong version docker runs with '1' and library status remains 'installing' in DLab UI (i) fixed 7. Rstudio (others group): Pivottablejs installation with correct version <0.2.0> was stuck in 'installing' status and docker run with '1' (i) there was a whitespace in version < 0.2.0> 8. TensorFlow with RStudio (r package -> NAM ): docker runs with '1' and installation status is still 'installing' in Web UI (i) fixed > Show 'invalid version' if lib installation fails due to wrong version > - > > Key: DLAB-1974 > URL: https://issues.apache.org/jira/browse/DLAB-1974 > Project: Apache DLab > Issue Type: Task >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Minor > Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat, > pull-request-available > Attachments: Augment error
[jira] [Commented] (DLAB-1986) Add validation for library version
[ https://issues.apache.org/jira/browse/DLAB-1986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176431#comment-17176431 ] Vira Vitanska commented on DLAB-1986: - Validation works except for <`>. Symbol <`> should not be allowed > Add validation for library version > -- > > Key: DLAB-1986 > URL: https://issues.apache.org/jira/browse/DLAB-1986 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat, > pull-request-available > > Version field can contain only the following: > Apt/yum/pip/r package/others Groups: <0-9> <-> <_> <:> <~> > <.> <+> -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1995) Lib groups are not adjusted for compute
[ https://issues.apache.org/jira/browse/DLAB-1995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1995: Labels: AWS AZURE Back-end Debian GCP Known_issues(release2.4) RedHat (was: AWS AZURE Back-end Debian GCP RedHat) > Lib groups are not adjusted for compute > --- > > 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 > > > *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 > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Created] (DLAB-1995) Lib groups are not adjusted for compute
Vira Vitanska created DLAB-1995: --- Summary: Lib groups are not adjusted for compute 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 Attachments: Group.png *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 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1992) Only assigned user to the project should gain notification about quota exceeding
[ https://issues.apache.org/jira/browse/DLAB-1992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1992: Description: This ticket is related only to project quota. User who is not assigned to a project should not gain notification about quota exceeding of this project. *Preconditions:* # User1 is not assigned to project1 # Project1 quota is exceeded *Steps to reproduce:* 1. Login by user1 *Actual result:* 1. User1 receives notification about project1 quota exceeding *Expected result:* 1. User1 does not receive notification about project1 quota exceeding was: This ticket is related only to project quota. User who is not assigned to a project should not gain notification about quota exceeding of this project. Issue Type: Bug (was: Task) > Only assigned user to the project should gain notification about quota > exceeding > > > Key: DLAB-1992 > URL: https://issues.apache.org/jira/browse/DLAB-1992 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat > > This ticket is related only to project quota. > User who is not assigned to a project should not gain notification about > quota exceeding of this project. > > *Preconditions:* > # User1 is not assigned to project1 > # Project1 quota is exceeded > *Steps to reproduce:* > 1. Login by user1 > *Actual result:* > 1. User1 receives notification about project1 quota exceeding > *Expected result:* > 1. User1 does not receive notification about project1 quota exceeding -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1990) Total quota shouldn't be reset if only project quota is updated to 'null'
[ https://issues.apache.org/jira/browse/DLAB-1990?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated DLAB-1990: - Labels: AWS AZURE Debian Front-end GCP RedHat pull-request-available (was: AWS AZURE Debian Front-end GCP RedHat) > Total quota shouldn't be reset if only project quota is updated to 'null' > - > > Key: DLAB-1990 > URL: https://issues.apache.org/jira/browse/DLAB-1990 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat, > pull-request-available > > *Preconditions:* > # Project quota is set up (it isn't null) > # Total quota is set up (it isn't null) > *Steps to reproduce:* > 1. Set project quota for null > *Actual result:* > # Project quota is null > # Total quota is null > *Expected result:* > # Project quota is null > # Total quota isn't null > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1992) Only assigned user to the project should gain notification about quota exceeding
[ https://issues.apache.org/jira/browse/DLAB-1992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1992: Affects Version/s: v.2.4 > Only assigned user to the project should gain notification about quota > exceeding > > > Key: DLAB-1992 > URL: https://issues.apache.org/jira/browse/DLAB-1992 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat > > This ticket is related only to project quota. > User who is not assigned to a project should not gain notification about > quota exceeding of this project. > > *Preconditions:* > # User1 is not assigned to project1 > # Project1 quota is exceeded > *Steps to reproduce:* > 1. Login by user1 > *Actual result:* > 1. User1 receives notification about project1 quota exceeding > *Expected result:* > 1. User1 does not receive notification about project1 quota exceeding -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1992) Only assigned user to the project should gain notification about quota exceeding
[ https://issues.apache.org/jira/browse/DLAB-1992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1992: Labels: AWS AZURE Back-end Debian GCP Known_issues(release2.4) RedHat (was: AWS AZURE Back-end Debian GCP RedHat) > Only assigned user to the project should gain notification about quota > exceeding > > > Key: DLAB-1992 > URL: https://issues.apache.org/jira/browse/DLAB-1992 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, > Known_issues(release2.4), RedHat > > This ticket is related only to project quota. > User who is not assigned to a project should not gain notification about > quota exceeding of this project. > > *Preconditions:* > # User1 is not assigned to project1 > # Project1 quota is exceeded > *Steps to reproduce:* > 1. Login by user1 > *Actual result:* > 1. User1 receives notification about project1 quota exceeding > *Expected result:* > 1. User1 does not receive notification about project1 quota exceeding -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[GitHub] [incubator-dlab] DG1202 merged pull request #857: [DLAB-1990]: Fixed total quota shouldn't be reset if only project quo…
DG1202 merged pull request #857: URL: https://github.com/apache/incubator-dlab/pull/857 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[GitHub] [incubator-dlab] DG1202 opened a new pull request #857: [DLAB-1990]: Fixed total quota shouldn't be reset if only project quo…
DG1202 opened a new pull request #857: URL: https://github.com/apache/incubator-dlab/pull/857 …ta is updated This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1838) [Branch-515][Azure]: Very often Notebook creation/starting fails
[ https://issues.apache.org/jira/browse/DLAB-1838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1838: Priority: Major (was: Critical) > [Branch-515][Azure]: Very often Notebook creation/starting fails > > > Key: DLAB-1838 > URL: https://issues.apache.org/jira/browse/DLAB-1838 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 > Environment: Branch-515 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, Known_issues(release2.4), RedHat > Attachments: Azure Notebook creation.png, Azure notebook starting.png > > > Very often this case is reproduced for Jupyter and RStudio. However this bug > is related to all notebook templates. > *Preconditions:* > 1. SSN is created from branch-515 on Azure > *Steps to reproduce:* > # Create any notebook > # Start notebook after previous stopping > *Actual result:* > # Notebook creation fails > # Notebook starting fails > *Expected result:* > 1. Notebook creation is successful > 2. Notebook starting is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1838) [Branch-515][Azure]: Very often Notebook creation/starting fails
[ https://issues.apache.org/jira/browse/DLAB-1838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1838: Labels: AZURE Debian DevOps Known_issues(release2.4) RedHat (was: AZURE Debian DevOps RedHat) > [Branch-515][Azure]: Very often Notebook creation/starting fails > > > Key: DLAB-1838 > URL: https://issues.apache.org/jira/browse/DLAB-1838 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 > Environment: Branch-515 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Critical > Labels: AZURE, Debian, DevOps, Known_issues(release2.4), RedHat > Attachments: Azure Notebook creation.png, Azure notebook starting.png > > > Very often this case is reproduced for Jupyter and RStudio. However this bug > is related to all notebook templates. > *Preconditions:* > 1. SSN is created from branch-515 on Azure > *Steps to reproduce:* > # Create any notebook > # Start notebook after previous stopping > *Actual result:* > # Notebook creation fails > # Notebook starting fails > *Expected result:* > 1. Notebook creation is successful > 2. Notebook starting is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1837) [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter creation fails
[ https://issues.apache.org/jira/browse/DLAB-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1837: Labels: AZURE Debian DevOps Known_issues(release2.4) RedHat (was: AZURE Debian DevOps RedHat) > [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter > creation fails > - > > Key: DLAB-1837 > URL: https://issues.apache.org/jira/browse/DLAB-1837 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, Known_issues(release2.4), RedHat > Attachments: Azure Jupyter.png > > > *Preconditions:* > # SSN is created form branch-515 on Azure > # Image is available for Jupyter/Rstudio > *Steps to reproduce:* > 1. Create Jupyter/Rstudio via image > *Actual result:* > 1. Jupyter'rstudio creation fails > *Expected result:* > 1. Jupyter/rstudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1834) [Branch-515][Azure][RStudio]: RStudio creation fails from image
[ https://issues.apache.org/jira/browse/DLAB-1834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1834: Labels: AZURE Debian DevOps RedHat (was: AZURE Debian DevOps Known_issues(release2.4) RedHat) > [Branch-515][Azure][RStudio]: RStudio creation fails from image > --- > > Key: DLAB-1834 > URL: https://issues.apache.org/jira/browse/DLAB-1834 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 > Environment: Branch-515 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, RedHat > Attachments: Azure Rstudio2.png > > > This bug was reproduced when image for RStudio was available, so I guess > Rstudio creation fails when using general image for RStudio. > *Preconditions:* > # SSN is created on Azure from branch-515 > # Image for RStudio is available > *Steps to reproduce:* > 1. Create RStudio from general image > *Actual result:* > 1. RStudio creation fails > *Expected result:* > 1. RStudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-1837) [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter creation fails
[ https://issues.apache.org/jira/browse/DLAB-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176361#comment-17176361 ] Vira Vitanska commented on DLAB-1837: - Duplicates https://issues.apache.org/jira/browse/DLAB-1834 > [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter > creation fails > - > > Key: DLAB-1837 > URL: https://issues.apache.org/jira/browse/DLAB-1837 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, RedHat > Attachments: Azure Jupyter.png > > > *Preconditions:* > # SSN is created form branch-515 on Azure > # Image is available for Jupyter/Rstudio > *Steps to reproduce:* > 1. Create Jupyter/Rstudio via image > *Actual result:* > 1. Jupyter'rstudio creation fails > *Expected result:* > 1. Jupyter/rstudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1837) [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter creation fails
[ https://issues.apache.org/jira/browse/DLAB-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1837: Summary: [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter creation fails (was: [Branch-515][Azure][Jupyter]: The second (via image) Jupyter creation fails ) > [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter > creation fails > - > > Key: DLAB-1837 > URL: https://issues.apache.org/jira/browse/DLAB-1837 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, RedHat > Attachments: Azure Jupyter.png > > > *Preconditions:* > # SSN is created form branch-515 on Azure > # Image is available for Jupyter > *Steps to reproduce:* > 1. Create Jupyter via image > *Actual result:* > 1. Jupyter creation fails > *Expected result:* > 1. Jupyter creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1837) [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter creation fails
[ https://issues.apache.org/jira/browse/DLAB-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1837: Description: *Preconditions:* # SSN is created form branch-515 on Azure # Image is available for Jupyter/Rstudio *Steps to reproduce:* 1. Create Jupyter/Rstudio via image *Actual result:* 1. Jupyter'rstudio creation fails *Expected result:* 1. Jupyter/rstudio creation is successful was: *Preconditions:* # SSN is created form branch-515 on Azure # Image is available for Jupyter *Steps to reproduce:* 1. Create Jupyter via image *Actual result:* 1. Jupyter creation fails *Expected result:* 1. Jupyter creation is successful > [Branch-515][Azure][Jupyter][Rstudio]: The second (via image) Jupyter > creation fails > - > > Key: DLAB-1837 > URL: https://issues.apache.org/jira/browse/DLAB-1837 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, RedHat > Attachments: Azure Jupyter.png > > > *Preconditions:* > # SSN is created form branch-515 on Azure > # Image is available for Jupyter/Rstudio > *Steps to reproduce:* > 1. Create Jupyter/Rstudio via image > *Actual result:* > 1. Jupyter'rstudio creation fails > *Expected result:* > 1. Jupyter/rstudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1834) [Branch-515][Azure][RStudio]: RStudio creation fails from image
[ https://issues.apache.org/jira/browse/DLAB-1834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1834: Labels: AZURE Debian DevOps Known_issues(release2.4) RedHat (was: AZURE Debian DevOps RedHat) > [Branch-515][Azure][RStudio]: RStudio creation fails from image > --- > > Key: DLAB-1834 > URL: https://issues.apache.org/jira/browse/DLAB-1834 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 > Environment: Branch-515 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, Known_issues(release2.4), RedHat > Attachments: Azure Rstudio2.png > > > This bug was reproduced when image for RStudio was available, so I guess > Rstudio creation fails when using general image for RStudio. > *Preconditions:* > # SSN is created on Azure from branch-515 > # Image for RStudio is available > *Steps to reproduce:* > 1. Create RStudio from general image > *Actual result:* > 1. RStudio creation fails > *Expected result:* > 1. RStudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1834) [Branch-515][Azure][RStudio]: RStudio creation fails from image
[ https://issues.apache.org/jira/browse/DLAB-1834?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1834: Summary: [Branch-515][Azure][RStudio]: RStudio creation fails from image (was: [Branch-515][Azure][RStudio]: RStudio creation fails) > [Branch-515][Azure][RStudio]: RStudio creation fails from image > --- > > Key: DLAB-1834 > URL: https://issues.apache.org/jira/browse/DLAB-1834 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 > Environment: Branch-515 >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AZURE, Debian, DevOps, RedHat > Attachments: Azure Rstudio2.png > > > This bug was reproduced when image for RStudio was available, so I guess > Rstudio creation fails when using general image for RStudio. > *Preconditions:* > # SSN is created on Azure from branch-515 > # Image for RStudio is available > *Steps to reproduce:* > 1. Create RStudio from general image > *Actual result:* > 1. RStudio creation fails > *Expected result:* > 1. RStudio creation is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1993) Administration role couldn't be removed for '$anyuser'
[ https://issues.apache.org/jira/browse/DLAB-1993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1993: Priority: Trivial (was: Minor) > Administration role couldn't be removed for '$anyuser' > -- > > Key: DLAB-1993 > URL: https://issues.apache.org/jira/browse/DLAB-1993 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Trivial > Labels: AWS, AZURE, Back-end, Debian, GCP, > Known_issues(release2.4), RedHat > Attachments: Anyuser.png > > > *Preconditions:* > 1. SSN is created > *Steps to reproduce:* > 1. Remove administration role for '$anyuser' > *Actual result:* > # Administration role is removed > # Appears error message 'Group $anyuser not found' > *Expected result:* > 1. Administration role is removed -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1920) Endpoint disconnection should not again terminate project which is already terminated
[ https://issues.apache.org/jira/browse/DLAB-1920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1920: Labels: AWS AZURE Back-end Debian GCP Known_issues(release2.4) RedHat (was: AWS AZURE Back-end Debian GCP RedHat) > Endpoint disconnection should not again terminate project which is already > terminated > - > > Key: DLAB-1920 > URL: https://issues.apache.org/jira/browse/DLAB-1920 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Trivial > Labels: AWS, AZURE, Back-end, Debian, GCP, > Known_issues(release2.4), RedHat > > *Preconditions:* > # Project1 is created from endpoint1 > # Project1 is terminated > *Steps to reproduce:* > 1. Disconnect endpoint1 > *Actual result:* > 1. Project1 changes its status from 'terminated' to 'terminating' > Expected result: > 1. Project1 does not change its status from 'terminated' to 'terminating' > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1920) Endpoint disconnection should not again terminate project which is already terminated
[ https://issues.apache.org/jira/browse/DLAB-1920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1920: Priority: Trivial (was: Minor) > Endpoint disconnection should not again terminate project which is already > terminated > - > > Key: DLAB-1920 > URL: https://issues.apache.org/jira/browse/DLAB-1920 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Trivial > Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat > > *Preconditions:* > # Project1 is created from endpoint1 > # Project1 is terminated > *Steps to reproduce:* > 1. Disconnect endpoint1 > *Actual result:* > 1. Project1 changes its status from 'terminated' to 'terminating' > Expected result: > 1. Project1 does not change its status from 'terminated' to 'terminating' > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1922) Reminder about notebook stopping continues to show up after scheduler triggering
[ https://issues.apache.org/jira/browse/DLAB-1922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1922: Labels: AWS AZURE Debian Front-end GCP Known_issues(release2.4) RedHat (was: AWS AZURE Debian Front-end GCP RedHat) > Reminder about notebook stopping continues to show up after scheduler > triggering > > > Key: DLAB-1922 > URL: https://issues.apache.org/jira/browse/DLAB-1922 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Pavel Papou >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, > Known_issues(release2.4), RedHat > > *Preconditions:* > # Notebook is stopped by scheduler > *Steps to reproduce:* > # Start notebook > # Refresh page via DLab 'Refresh' button > *Actual result:* > 1. Reminder shows up > *Expected result:* > 1. Reminder does not show up > > (i) *Reminder does not show up for cluster termination* -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1980) Custom Spark Standalone creation/reconfiguration fails
[ https://issues.apache.org/jira/browse/DLAB-1980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1980: Description: *Preconditions:* 1. Jupyter is created *Steps to reproduce:* 1. Create custom DE/reconfigure existing one *Actual result:* 1. Data Engine creation/reconfiguration fails *Expected result:* 1. Data Engine creation/reconfiguration is successful was: *Preconditions:* 1. Notebook is created *Steps to reproduce:* 1. Create custom DE/reconfigure existing one *Actual result:* 1. Data Engine creation/reconfiguration fails *Expected result:* 1. Data Engine creation/reconfiguration is successful > Custom Spark Standalone creation/reconfiguration fails > -- > > Key: DLAB-1980 > URL: https://issues.apache.org/jira/browse/DLAB-1980 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Mykola Bodnar >Priority: Major > Labels: AWS, Debian, GCP, RedH > Attachments: Creation.png, Reconfigure.png > > > *Preconditions:* > 1. Jupyter is created > *Steps to reproduce:* > 1. Create custom DE/reconfigure existing one > *Actual result:* > 1. Data Engine creation/reconfiguration fails > *Expected result:* > 1. Data Engine creation/reconfiguration is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1980) [Jupyter]: Custom Spark Standalone creation/reconfiguration fails
[ https://issues.apache.org/jira/browse/DLAB-1980?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1980: Summary: [Jupyter]: Custom Spark Standalone creation/reconfiguration fails (was: Custom Spark Standalone creation/reconfiguration fails) > [Jupyter]: Custom Spark Standalone creation/reconfiguration fails > - > > Key: DLAB-1980 > URL: https://issues.apache.org/jira/browse/DLAB-1980 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Mykola Bodnar >Priority: Major > Labels: AWS, Debian, GCP, RedH > Attachments: Creation.png, Reconfigure.png > > > *Preconditions:* > 1. Jupyter is created > *Steps to reproduce:* > 1. Create custom DE/reconfigure existing one > *Actual result:* > 1. Data Engine creation/reconfiguration fails > *Expected result:* > 1. Data Engine creation/reconfiguration is successful -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1993) Administration role couldn't be removed for '$anyuser'
[ https://issues.apache.org/jira/browse/DLAB-1993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1993: Labels: AWS AZURE Back-end Debian GCP Known_issues(release2.4) RedHat (was: AWS AZURE Back-end Debian GCP RedHat) > Administration role couldn't be removed for '$anyuser' > -- > > Key: DLAB-1993 > URL: https://issues.apache.org/jira/browse/DLAB-1993 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Affects Versions: v.2.4 >Reporter: Vira Vitanska >Assignee: Oleg Fuks >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, > Known_issues(release2.4), RedHat > Attachments: Anyuser.png > > > *Preconditions:* > 1. SSN is created > *Steps to reproduce:* > 1. Remove administration role for '$anyuser' > *Actual result:* > # Administration role is removed > # Appears error message 'Group $anyuser not found' > *Expected result:* > 1. Administration role is removed -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Comment Edited] (DLAB-1763) Running code for Spark Standalone does not use GPU (it is supposed to change kernel connection to Spark Standalone)
[ https://issues.apache.org/jira/browse/DLAB-1763?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176182#comment-17176182 ] Vira Vitanska edited comment on DLAB-1763 at 8/12/20, 1:46 PM: --- *ON HOLD:* nvidia-smi command works, however we don't have playbook to check Running code for Spark Standalone does not use GPU. was (Author: vvitanska): *Closed:* nvidia-smi command works, however we don't have playbook to check Running code for Spark Standalone does not use GPU. > Running code for Spark Standalone does not use GPU (it is supposed to change > kernel connection to Spark Standalone) > --- > > Key: DLAB-1763 > URL: https://issues.apache.org/jira/browse/DLAB-1763 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AWS, AZURE, Debian, DevOps, GCP, > Known_issues(release2.3), Known_issues(release2.4), RedHat > Fix For: v.2.4 > > Attachments: AWS Spark cluster.png, GCP Spark cluster on Tensor.png, > GCP Spark cluster.png, GCP Spark cluster2.png > > > *Preconditions:* > 1. Data Engine is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] > > (i) Spark cluster creation uses notebook image, so if notebook has been > created not on GPU the Spark cluster will be created not on GPU as well, even > if you use GPU size for creation. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1763) Running code for Spark Standalone does not use GPU (it is supposed to change kernel connection to Spark Standalone)
[ https://issues.apache.org/jira/browse/DLAB-1763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1763: Labels: AWS AZURE Debian DevOps GCP Known_issues(release2.3) Known_issues(release2.4) RedHat (was: AWS AZURE Debian DevOps GCP Known_issues(release2.3) RedHat) > Running code for Spark Standalone does not use GPU (it is supposed to change > kernel connection to Spark Standalone) > --- > > Key: DLAB-1763 > URL: https://issues.apache.org/jira/browse/DLAB-1763 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AWS, AZURE, Debian, DevOps, GCP, > Known_issues(release2.3), Known_issues(release2.4), RedHat > Fix For: v.2.4 > > Attachments: AWS Spark cluster.png, GCP Spark cluster on Tensor.png, > GCP Spark cluster.png, GCP Spark cluster2.png > > > *Preconditions:* > 1. Data Engine is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] > > (i) Spark cluster creation uses notebook image, so if notebook has been > created not on GPU the Spark cluster will be created not on GPU as well, even > if you use GPU size for creation. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1691) [AWS]: Running code for Data Endine Service does not use GPU (it is supposed to change kernel connection to DES)
[ https://issues.apache.org/jira/browse/DLAB-1691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1691: Labels: AWS Debian DevOps Known_issues(release2.3) Known_issues(release2.4) RedHat (was: AWS Debian DevOps Known_issues(release2.3) RedHat) > [AWS]: Running code for Data Endine Service does not use GPU (it is supposed > to change kernel connection to DES) > - > > Key: DLAB-1691 > URL: https://issues.apache.org/jira/browse/DLAB-1691 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Mykola Bodnar >Priority: Major > Labels: AWS, Debian, DevOps, Known_issues(release2.3), > Known_issues(release2.4), RedHat > Attachments: Cuda.png, EMR.png, How should be.png > > > *Preconditions:* > 1. Data Engine Service is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-1691) [AWS]: Running code for Data Endine Service does not use GPU (it is supposed to change kernel connection to DES)
[ https://issues.apache.org/jira/browse/DLAB-1691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176341#comment-17176341 ] Vira Vitanska commented on DLAB-1691: - *On hold:* We need correct playbook to check it. > [AWS]: Running code for Data Endine Service does not use GPU (it is supposed > to change kernel connection to DES) > - > > Key: DLAB-1691 > URL: https://issues.apache.org/jira/browse/DLAB-1691 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Mykola Bodnar >Priority: Major > Labels: AWS, Debian, DevOps, Known_issues(release2.3), RedHat > Attachments: Cuda.png, EMR.png, How should be.png > > > *Preconditions:* > 1. Data Engine Service is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-1692) [GCP]: Running code for Data Engine Service does not use GPU (it is supposed to change kernel connection to DES)
[ https://issues.apache.org/jira/browse/DLAB-1692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176332#comment-17176332 ] Vira Vitanska commented on DLAB-1692: - *ON HOLD:* We need correct playbook to check it. > [GCP]: Running code for Data Engine Service does not use GPU (it is supposed > to change kernel connection to DES) > > > Key: DLAB-1692 > URL: https://issues.apache.org/jira/browse/DLAB-1692 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Mykola Bodnar >Priority: Major > Labels: Debian, DevOps, GCP, Known_issues(release2.3) > Fix For: v.2.4 > > Attachments: How should be.png, Is not found.png > > > *Preconditions:* > 1. Data Engine Service is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] > > If use command 'nvidia-smi' on Dataproc - the command is not found -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-288) [EMR]: Java library installation fails only on DLab UI if install java library with other lib group from the first attempt
[ https://issues.apache.org/jira/browse/DLAB-288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176330#comment-17176330 ] Vira Vitanska commented on DLAB-288: *Closed:* Cannot reproduced. > [EMR]: Java library installation fails only on DLab UI if install java > library with other lib group from the first attempt > -- > > Key: DLAB-288 > URL: https://issues.apache.org/jira/browse/DLAB-288 > Project: Apache DLab > Issue Type: Bug > Components: DLab Old >Reporter: Vira Vitanska >Priority: Minor > Labels: 2.3_old, AWS, Debian, DevOps, Known_issues(release2.2), > Known_issues(release2.3), RedHat > Attachments: docker logs.png, image-2019-01-17-12-44-25-319.png, > master-emr519.png, provis.png, self-ser.png > > > A bug was found during java libs installation on EMR v.5.19/v5.12 > *Preconditions:* > EMR v.5.19 or v.5.12 is created > *Steps to reproduce:* > 1. install libraries together: > - htop (apt/yum) > - pronto (pip2) > - access (pip3) > - rmarkdown (r packages) > - pivottables (other) > - com.atlassian.asap:asap-client-core:2.21.7 (java) > - com.eurodyn.qlack2.util:qlack2-util-testing:2.3.9(java) > 2. click 'Install' button > *Actual result:* > 1. all libraries are installed except for java on DLab UI > !image-2019-01-17-12-44-25-319.png! > 2. in path /opt/jars/java/ gava library is installed > *Expected result:* > All groups of libraies are successful installed -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[GitHub] [incubator-dlab] leonidfrolov merged pull request #856: [DLAB-1994]: [TensorFlow][DeepLearning]: Convey new version to UI
leonidfrolov merged pull request #856: URL: https://github.com/apache/incubator-dlab/pull/856 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[GitHub] [incubator-dlab] leonidfrolov opened a new pull request #856: [DLAB-1994]: [TensorFlow][DeepLearning]: Convey new version to UI
leonidfrolov opened a new pull request #856: URL: https://github.com/apache/incubator-dlab/pull/856 changed tensorflow and deeplearning versions in description This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1935) [Part2][Back-end]: Set of audit tasks
[ https://issues.apache.org/jira/browse/DLAB-1935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1935: Description: # Add information icon for compute reconfigure: 'Reconfigure compute , requested for notebook (+) # Install libs. Change action: Install -> Install libs. Change resource type: Notebook libs -> Notebook and Computational libs -> Compute (+) # Update quota. It is possible to update quota by month. So convey if quota is updated per month or per whole period to front-end (Update quota null->10 change to Update quota null->10/ Update period total->monthly) (-) # Add information icon if user updates a project by adding/removing group. Show grid: In Action column -> Add group(s)/remove group(s), and in Description column the list of groups. (-) It should be in grid. As it is implemented for lib installation # Remove '(s)' form File(s) during upload and download files (+) # Audit for 'Bucket browser'. In action column change: - for upload - from 'File(s)' to 'Upload file' (-) - for download -from 'File(s)' to 'Download file' (-) - for delete - from 'File(s)' to 'Delete file(s)' (-) 7. If create folder add action in grid for confirmation icon. 'Upload folder' was: # Add information icon for compute reconfigure: 'Reconfigure compute , requested for notebook (+) # Install libs. Change action: Install -> Install libs. Change resource type: Notebook libs -> Notebook and Computational libs -> Compute (+) # Update quota. It is possible to update quota by month. So convey if quota is updated per month or per whole period to front-end (Update quota null->10 change to Update quota null->10/Period total->monthly) (-) # Add information icon if user updates a project by adding/removing group. Show grid: In Action column -> Add group(s)/remove group(s), and in Description column the list of groups. (-) It should be in grid. As it is implemented for lib installation # Remove '(s)' form File(s) during upload and download files (+) # Audit for 'Bucket browser'. In action column change: - for upload - from 'File(s)' to 'Upload file' (-) - for download -from 'File(s)' to 'Download file' (-) - for delete - from 'File(s)' to 'Delete file(s)' (-) 7. If create folder add action in grid for confirmation icon. 'Upload folder' > [Part2][Back-end]: Set of audit tasks > - > > Key: DLAB-1935 > URL: https://issues.apache.org/jira/browse/DLAB-1935 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Pavel Papou >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat, > pull-request-available > Attachments: P6 - remove s.png, P7 - delete.png, P7 - upload.png, > P7-download.png, P7-folder.png, Reopened. P4 - Actual result.png, > image-2020-07-09-15-04-35-494.png > > > # Add information icon for compute reconfigure: 'Reconfigure compute > , requested for notebook (+) > # Install libs. Change action: Install -> Install libs. Change resource > type: Notebook libs -> Notebook and Computational libs -> Compute (+) > # Update quota. It is possible to update quota by month. So convey if quota > is updated per month or per whole period to front-end (Update quota null->10 > change to Update quota null->10/ Update period total->monthly) (-) > # Add information icon if user updates a project by adding/removing group. > Show grid: In Action column -> Add group(s)/remove group(s), and in > Description column the list of groups. (-) It should be in grid. As it is > implemented for lib installation > # Remove '(s)' form File(s) during upload and download files (+) > # Audit for 'Bucket browser'. In action column change: > - for upload - from 'File(s)' to 'Upload file' (-) > - for download -from 'File(s)' to 'Download file' (-) > - for delete - from 'File(s)' to 'Delete file(s)' (-) > 7. If create folder add action in grid for confirmation icon. 'Upload folder' -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1994) [TensorFlow][DeepLearning]: Convey new version to UI
[ https://issues.apache.org/jira/browse/DLAB-1994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Leonid Frolov updated DLAB-1994: Attachment: screenshot-1.png > [TensorFlow][DeepLearning]: Convey new version to UI > > > Key: DLAB-1994 > URL: https://issues.apache.org/jira/browse/DLAB-1994 > Project: Apache DLab > Issue Type: Task >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Minor > Labels: AWS, AZURE, Debian, DevOps, GCP, RedHat > Attachments: screenshot-1.png > > > Convey new version to UI: > TensorFlow - 2.1.0 > DeepLearning -2.4 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Created] (DLAB-1994) [TensorFlow][DeepLearning]: Convey new version to UI
Vira Vitanska created DLAB-1994: --- Summary: [TensorFlow][DeepLearning]: Convey new version to UI Key: DLAB-1994 URL: https://issues.apache.org/jira/browse/DLAB-1994 Project: Apache DLab Issue Type: Task Reporter: Vira Vitanska Assignee: Leonid Frolov Convey new version to UI: TensorFlow - 2.1.0 DeepLearning -2.4 -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1989) Update images to user guide
[ https://issues.apache.org/jira/browse/DLAB-1989?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dmytro Gnatyshyn updated DLAB-1989: --- Description: Updated images: # Create a project # List of Resources(empty) # List of Resources(notebook creating) # List of Resources(one notebook running) # Notebook info # library all images # Connected Data Engine Service becomes Terminated while connected (if any) Data Engine (Standalone Apache Spark cluster) becomes Stopped. # List of Resources(notebook terminating) # List of Resources(notebook terminated) # List of Resources(compute creating) # Selecting roles # Environment management # Manage quotas # Project quota exceed message # Billing # UI filters Added images: 1. Bucket browser 2. Audit was: 1. Exceed quota message 2. List of resources > Update images to user guide > --- > > Key: DLAB-1989 > URL: https://issues.apache.org/jira/browse/DLAB-1989 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat > > Updated images: > # Create a project > # List of Resources(empty) > # List of Resources(notebook creating) > # List of Resources(one notebook running) > # Notebook info > # library all images > # Connected Data Engine Service becomes Terminated while connected (if any) > Data Engine (Standalone Apache Spark cluster) becomes Stopped. > # List of Resources(notebook terminating) > # List of Resources(notebook terminated) > # List of Resources(compute creating) > # Selecting roles > # Environment management > # Manage quotas > # Project quota exceed message > # Billing > # UI filters > > Added images: > 1. Bucket browser > 2. Audit > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Commented] (DLAB-1763) Running code for Spark Standalone does not use GPU (it is supposed to change kernel connection to Spark Standalone)
[ https://issues.apache.org/jira/browse/DLAB-1763?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176182#comment-17176182 ] Vira Vitanska commented on DLAB-1763: - *Closed:* nvidia-smi command works, however we don't have playbook to check Running code for Spark Standalone does not use GPU. > Running code for Spark Standalone does not use GPU (it is supposed to change > kernel connection to Spark Standalone) > --- > > Key: DLAB-1763 > URL: https://issues.apache.org/jira/browse/DLAB-1763 > Project: Apache DLab > Issue Type: Bug > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Leonid Frolov >Priority: Major > Labels: AWS, AZURE, Debian, DevOps, GCP, > Known_issues(release2.3), RedHat > Fix For: v.2.4 > > Attachments: AWS Spark cluster.png, GCP Spark cluster on Tensor.png, > GCP Spark cluster.png, GCP Spark cluster2.png > > > *Preconditions:* > 1. Data Engine is created with shape for GPU > *Steps to reproduce:* > 1. Run code that use GPU for Data Engine Service > *Actual result:* > 1. GPU is not used > *Expected result:* > 1. GPU is used > > Code which use GPU > 1. [https://weeraman.com/put-that-gpu-to-good-use-with-python-e5a437168c01] > 2. [https://www.geeksforgeeks.org/running-python-script-on-gpu/] > > (i) Spark cluster creation uses notebook image, so if notebook has been > created not on GPU the Spark cluster will be created not on GPU as well, even > if you use GPU size for creation. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[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
[ https://issues.apache.org/jira/browse/DLAB-539?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17176177#comment-17176177 ] Vira Vitanska commented on DLAB-539: EMR version is updated > 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), > Known_issues(release2.3) > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1991) Set of UI changes
[ https://issues.apache.org/jira/browse/DLAB-1991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1991: Description: # Breadcrumb overlaps only in Firefox # Ged rid of '.' in grid for audit # Reconfigire. Change from 'Reconfigure compute *sp1*, requested for notebook <*jup*>.' to 'Reconfigure compute *sp1*, requested for notebook *jup*.' # In grid (in confirmation icon) action should be in present, not in past if add/remove groups in project # Get rid of dataproc creation with GPU shape for Jupyter # Get rid of extra horizontal line in dropdown list for group creation was: # Breadcrumb overlaps only in Firefox # Ged rid of '.' in grid for audit # Reconfigire. Change from 'Reconfigure compute *sp1*, requested for notebook <*jup*>.' to 'Reconfigure compute *sp1*, requested for notebook *jup*.' # In grid (in confirmation icon) action should be in present, not in past if add/remove groups in project > Set of UI changes > - > > Key: DLAB-1991 > URL: https://issues.apache.org/jira/browse/DLAB-1991 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat > Attachments: Audit.png, Bucket browser.png, Group creation.png, > Reconfigure.png > > > # Breadcrumb overlaps only in Firefox > # Ged rid of '.' in grid for audit > # Reconfigire. Change from 'Reconfigure compute *sp1*, requested for > notebook <*jup*>.' to 'Reconfigure compute *sp1*, requested for notebook > *jup*.' > # In grid (in confirmation icon) action should be in present, not in past if > add/remove groups in project > # Get rid of dataproc creation with GPU shape for Jupyter > # Get rid of extra horizontal line in dropdown list for group creation -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1991) Set of UI changes
[ https://issues.apache.org/jira/browse/DLAB-1991?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1991: Attachment: Group creation.png > Set of UI changes > - > > Key: DLAB-1991 > URL: https://issues.apache.org/jira/browse/DLAB-1991 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Dmytro Gnatyshyn >Priority: Minor > Labels: AWS, AZURE, Debian, Front-end, GCP, RedHat > Attachments: Audit.png, Bucket browser.png, Group creation.png, > Reconfigure.png > > > # Breadcrumb overlaps only in Firefox > # Ged rid of '.' in grid for audit > # Reconfigire. Change from 'Reconfigure compute *sp1*, requested for > notebook <*jup*>.' to 'Reconfigure compute *sp1*, requested for notebook > *jup*.' > # In grid (in confirmation icon) action should be in present, not in past if > add/remove groups in project > # Get rid of dataproc creation with GPU shape for Jupyter > # Get rid of extra horizontal line in dropdown list for group creation -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
[jira] [Updated] (DLAB-1935) [Part2][Back-end]: Set of audit tasks
[ https://issues.apache.org/jira/browse/DLAB-1935?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vira Vitanska updated DLAB-1935: Description: # Add information icon for compute reconfigure: 'Reconfigure compute , requested for notebook (+) # Install libs. Change action: Install -> Install libs. Change resource type: Notebook libs -> Notebook and Computational libs -> Compute (+) # Update quota. It is possible to update quota by month. So convey if quota is updated per month or per whole period to front-end (Update quota null->10 change to Update quota null->10/Period total->monthly) (-) # Add information icon if user updates a project by adding/removing group. Show grid: In Action column -> Add group(s)/remove group(s), and in Description column the list of groups. (-) It should be in grid. As it is implemented for lib installation # Remove '(s)' form File(s) during upload and download files (+) # Audit for 'Bucket browser'. In action column change: - for upload - from 'File(s)' to 'Upload file' (-) - for download -from 'File(s)' to 'Download file' (-) - for delete - from 'File(s)' to 'Delete file(s)' (-) 7. If create folder add action in grid for confirmation icon. 'Upload folder' was: # Add information icon for compute reconfigure: 'Reconfigure compute , requested for notebook . (/) # Install libs. Change action: Install -> Install libs. Change resource type: Notebook libs -> Notebook and Computational libs -> Compute (+) # Update quota. It is possible to update quota by month. So convey if quota is updated per month or per whole period to front-end (Update quota null->10 change to Update quota null->10/Period total->monthly) (-) # Add information icon if user updates a project by adding/removing group. Show grid: In Action column -> Add group(s)/remove group(s), and in Description column the list of groups. (-) It should be in grid. As it is implemented for lib installation # Remove '(s)' form File(s) during upload and download files (+) # Audit for 'Bucket browser'. In action column change: - for upload - from 'File(s)' to 'Upload file' (-) - for download -from 'File(s)' to 'Download file' (-) - for delete - from 'File(s)' to 'Delete file(s)' (-) 7. If create folder add action in grid for confirmation icon. 'Upload folder' > [Part2][Back-end]: Set of audit tasks > - > > Key: DLAB-1935 > URL: https://issues.apache.org/jira/browse/DLAB-1935 > Project: Apache DLab > Issue Type: Task > Components: DLab Main >Reporter: Vira Vitanska >Assignee: Pavel Papou >Priority: Minor > Labels: AWS, AZURE, Back-end, Debian, GCP, RedHat, > pull-request-available > Attachments: P6 - remove s.png, P7 - delete.png, P7 - upload.png, > P7-download.png, P7-folder.png, Reopened. P4 - Actual result.png, > image-2020-07-09-15-04-35-494.png > > > # Add information icon for compute reconfigure: 'Reconfigure compute > , requested for notebook (+) > # Install libs. Change action: Install -> Install libs. Change resource > type: Notebook libs -> Notebook and Computational libs -> Compute (+) > # Update quota. It is possible to update quota by month. So convey if quota > is updated per month or per whole period to front-end (Update quota null->10 > change to Update quota null->10/Period total->monthly) (-) > # Add information icon if user updates a project by adding/removing group. > Show grid: In Action column -> Add group(s)/remove group(s), and in > Description column the list of groups. (-) It should be in grid. As it is > implemented for lib installation > # Remove '(s)' form File(s) during upload and download files (+) > # Audit for 'Bucket browser'. In action column change: > - for upload - from 'File(s)' to 'Upload file' (-) > - for download -from 'File(s)' to 'Download file' (-) > - for delete - from 'File(s)' to 'Delete file(s)' (-) > 7. If create folder add action in grid for confirmation icon. 'Upload folder' -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@dlab.apache.org For additional commands, e-mail: dev-h...@dlab.apache.org
