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Posted to commits@dlab.apache.org by bh...@apache.org on 2019/03/28 08:42:43 UTC
[incubator-dlab] branch v2.1-RC2 updated: DLAB-000 2.1 Release
notes updated
This is an automated email from the ASF dual-hosted git repository.
bhliva pushed a commit to branch v2.1-RC2
in repository https://gitbox.apache.org/repos/asf/incubator-dlab.git
The following commit(s) were added to refs/heads/v2.1-RC2 by this push:
new fa3075e DLAB-000 2.1 Release notes updated
fa3075e is described below
commit fa3075e5968fe5f6439ff357ef6b969c56efe356
Author: bhliva <bo...@epam.com>
AuthorDate: Thu Mar 28 10:42:28 2019 +0200
DLAB-000 2.1 Release notes updated
---
RELEASE_NOTES.md | 10 +++++++---
1 file changed, 7 insertions(+), 3 deletions(-)
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index fbbb57b..c4f0f9e 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -2,7 +2,7 @@
## New features in v2.1
**All Cloud platforms:**
-- implemented tuning Apache Spark standalone cluster and local spark configurations from WEB UI (except for Apache Zeppelin)
+- implemented tuning Apache Spark standalone cluster and local spark configurations from WEB UI (except for Apache Zeppelin)
- added a reminder after user logged in notifying that corresponding resources are about to be stopped/terminated
- implemented SSN load monitor: CPU, Memory, HDD
- updated versions of installed software:
@@ -40,6 +40,9 @@
## Bug fixes in v2.1
**AWS:**
- fixed pricing retrieval logic to optimize RAM usage on SSN for small instances
+**GCP:**
+- fixed a bug when DeepLearning creation was failing
+- fixed a bug which caused shared bucket to be deleted in case Edge node creation failed for new users
## Known issues in v2.1
**All Cloud platforms:**
@@ -61,10 +64,11 @@ For more details please refer for Apache Zeppelin official documentation: https:
- storage permissions aren't differentiated by users via Dataproc permissions (all users have R/W access to other users buckets)
- Data Engine Service creation is failing after environment has been recreated
- It is temporarily not possible to run playbooks using remote kernel of Data Engine (dependencies issue)
-- DeepLearning creation fails
+- Data Engine creation fails for DeepLearning template
+- Jupyter does not start successfully after Data Engine Service creation (create Jupyter -> create Data Engine -> stop Jupyter -> Jupyter fails)
**Microsoft Azure:**
-- creation of Zeppelin from custom image fails on the step when cluster kernels are removing
+- creation of Zeppelin or RStudio from custom image fails on the step when cluster kernels are removing
- start Notebook by scheduler does not work when Data Lake is enabled
- playbook running on Apache Zeppelin fails due to impossible connection to blob via wasbs protocol
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