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vvitanska pushed a commit to branch user_guide2.4
in repository https://gitbox.apache.org/repos/asf/incubator-dlab.git
The following commit(s) were added to refs/heads/user_guide2.4 by this push:
new 8ab82f5 [DLAB-1999]: Fixed typos in user guide
8ab82f5 is described below
commit 8ab82f5c6a516678ef97c9011d6a65d59f784a59
Author: viravit <vira_vitan...@epam.com>
AuthorDate: Mon Aug 17 17:40:54 2020 +0300
[DLAB-1999]: Fixed typos in user guide
---
USER_GUIDE.md | 26 ++++++++++++++------------
1 file changed, 14 insertions(+), 12 deletions(-)
diff --git a/USER_GUIDE.md b/USER_GUIDE.md
index af3bfb6..06c767e 100644
--- a/USER_GUIDE.md
+++ b/USER_GUIDE.md
@@ -192,7 +192,7 @@ On every analytical tool instance you can install
additional libraries by clicki
After clicking you see the window with 4 fields:
- Field for selecting an active resource to install libraries
- Field for selecting group of packages (apt/yum, Python 2, Python 3, R,
Java, Others)
-- Field for search available packages with autocomplete function (if it's
gained) except for Java. java library you should enter using the next format:
"groupID:artifactID:versionID"
+- Field for search available packages with autocomplete function (if it's
gained) except for Java. For Java library you should enter using the next
format: "groupID:artifactID:versionID"
- Field for library version. It's an optional field.
@@ -201,7 +201,7 @@ You need to wait for a while after resource choosing till
list of all available
-**Note:** Apt or yum packages depends on your DLab OS family.
+**Note:** Apt or Yum packages depend on your DLab OS family.
**Note:** In group Others you can find other Python (2/3) packages, which
haven't classifiers of version.
@@ -297,7 +297,7 @@ On “Create Computational Resource” popup you have to choose
Computational re
- Total number of instances (min 2 and max 14, configurable);
- Master and Slave instance shapes (list is configurable and supports all
available cloud instance shapes, supported in your cloud region);
-Also, if you want to save some costs for your Data Engine Service you can
create it based on [spot instances](https://aws.amazon.com/ec2/spot/)(this
functionality is for AWS cloud) or [preemptible
instances](https://cloud.google.com/compute/docs/instances/preemptible) (this
functionality is for GCP), which are often available at a discount price:
+Also, if you want to save some costs for your Data Engine Service you can
create it based on [spot instances](https://aws.amazon.com/ec2/spot/) (this
functionality is for AWS cloud) or [preemptible
instances](https://cloud.google.com/compute/docs/instances/preemptible) (this
functionality is for GCP), which are often available at a discount price:
- Select Spot Instance checkbox;
- Specify preferable bid for your spot instance in % (between 20 and 90,
configurable).
@@ -348,7 +348,7 @@ Since Computational resource is up and running - you are
now able to leverage cl
To do that open any of the analytical tools and select proper
kernel/interpreter:
-**Jupyter** – go to Kernel and choose preferable interpreter between local and
Computational resource ones. Currently we have added support of Python 2/3,
Spark, Scala, R in Jupyter.
+**Jupyter** – go to Kernel and choose preferable interpreter between local and
Computational resource ones. Currently we have added support of Python 2 (only
for local kernel)/3, Spark, Scala, R in Jupyter.
@@ -442,7 +442,7 @@ There is a possibility to inherit scheduler start settings
from notebook, if suc
</p>
Notebook/Standalone Apache Spark cluster is started/stopped automatically
after scheduler setting.
-Please also note that if notebook is configured to be stopped, all running
computational resources assosiated with are stopped (for Standalone Apache
Spark cluster) or terminated (for data engine serice) with notebook.
+Please also note that if notebook is configured to be stopped, running
computational resource assosiated with is stopped (for Standalone Apache Spark
cluster) or terminated (for data engine serice) with notebook.
After login user is notified that corresponding resources are about to be
stopped/terminated in some time.
@@ -464,7 +464,7 @@ When you click on the button "Git credentials" – following
popup shows up:
</p>
In this window you need to add:
-- Your Git server hostname, without **http** or **https**, for example:
gitlab.com, github.com, bitbucket.com, or your internal Git server.
+- Your Git server hostname, without **http** or **https**, for example:
gitlab.com, github.com, bitbucket.com.
- Your Username and Email - used to display author of commit in git.
- Your Login and Password - for authorization into git server.
@@ -520,8 +520,8 @@ Also clicking on "Circle" button you can uncommit or revert
changes.
You are able to access to cloud buckets via DLab Web UI.
There are two ways to open bucket browser:
-- clicking on Notebook name in the "List of resources" page, where there is an
"Open bucket browser" link;
-- clicking on "Bucket browser" bucket in the "List of resources" page.
+- clicking on Notebook name on the "List of resources" page, where there is an
"Open bucket browser" link;
+- clicking on "Bucket browser" bucket on the "List of resources" page.
@@ -594,7 +594,7 @@ Administrator can edit already existing project:
To edit the project hit "Edit project" and choose option which you want to
add, remove or change. For applying changes click on "Update" button.
-To stop Edge node hit "Stop edge node". After that confirm "OK" in
confirmation popup. All related instances change its status from 'Running' to
"Stopping" and soon become "Stopped". You are able to start Edge node again
after a while and proceed with your work. Do not forget to start notebook again
if you want to continue with your analytics. Because start Edge node does not
start related instances.
+To stop Edge node hit "Stop edge node". After that confirm "OK" in
confirmation popup. All related instances change its status from 'Running' to
"Stopping" (except for Data Engine Service, its status is "Terminated") and
soon become "Stopped" ("Terminated" for Data Engine Service). You are able to
start Edge node again after a while and proceed with your work. Do not forget
to start notebook again if you want to continue with your analytics. Because
start Edge node does not start related [...]
To terminate Edge node hit "Terminate edge node". After that confirm "OK" in
confirmation popup. All related instances change its status to "Terminating"
and soon become "Terminated".
@@ -613,7 +613,7 @@ To stop or terminate the Notebook click on a gear icon <img
src="doc/gear_icon.p
<img src="doc/manage_env_actions.png" alt="Manage environment actions"
width="160">
</p>
-**NOTE:** Connected Data Engine Server is terminated and related Standalone
Apache Spark cluster is stopped during Notebook stopping. During Notebook
termination related Computational resources are automatically terminated.
+**NOTE:** Connected Data Engine Server is terminated and related Standalone
Apache Spark cluster is stopped during Notebook stopping. During Notebook
termination related Computational resource is automatically terminated.
To stop or release specific cluster click an appropriate button close to
cluster alias.
@@ -627,7 +627,7 @@ Confirm stopping/decommissioning of the Computational
resource by hitting "Yes":
<img src="doc/manage_env_confirm.png" alt="Manage environment action
confirm" width="400">
</p>
-**NOTE:** Terminate action is available only for notebooks and computational
resources, not for Edge Nodes.
+**NOTE:** Terminate action is available only for notebook and computational
resource, not for Edge Node.
### Multiple Cloud Endpoints <a name="multiple_cloud_endpoints"></a>
@@ -699,6 +699,8 @@ You are able to view:
- who did the action
- what the action was done
+Furthermore on the center of header you can choose period of report in
datepicker.
+
If you click information icon <img src="doc/icon_info.png" alt="bin"
width="15"> you see more detail information.
@@ -719,7 +721,7 @@ To do this, simply click on icon <img
src="doc/filter_icon.png" alt="filter" wid
- environment name (input field);
- status (multiple choice);
- shape (multiple choice);
-- computational resources (multiple choice);
+- compute (multiple choice);
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