commit | b73badec08951163b0f24f4803213f3a6932b180 | [log] [tgz] |
---|---|---|
author | Antonio Barone <syntonyze@gmail.com> | Fri Nov 02 14:27:21 2018 +0000 |
committer | Antonio Barone <syntonyze@gmail.com> | Fri Nov 02 14:27:21 2018 +0000 |
tree | 46ee96fdab2bd0dc16ef2eddaeb94ee65583208d | |
parent | 0eb14b520c8845a16152c7cb6a7735053ad79f7f [diff] |
Better redirect to kibana dashboard Redirect the user specifically to the kibana dashboard rather than to the list of dashboards: the relevant dashboard id is retrieved by querying elasticsearch directly (kibana configuration is kept under the .kibana index). To allow this, CORS has been enabled from all origins in elasticsearch. Also, setting the time range in kibana according to the ETL time range itself. Feature: Issue 9966 Change-Id: Ifaadc43ff45d6959a8fbd511f23ec352f01abf33
Wizard to locally setup an Analytics Dashboard like the Gerrit's one. This will allow you to explore the potentials of DevOps Analytics on your own repositories.
##Installation
Copy the latest available jar into the Gerrit plugins directory and restart it. Assuming /usr/local/gerrit
is the location of your Gerrit installation simply execute the following:
curl -o /tmp/analytics-wizard.jar https://gerrit-ci.gerritforge.com/job/plugin-analytics-wizard-sbt-master-master/analytics-wizard.jar &&\ cp /tmp/analytics-wizard.jar /usr/local/gerrit/plugins
Once you are logged in Gerrit you can access the dashboard configuration via the top menu (Analytics Wizard > Configure Dashboard
).
You will land on this screen:
Different parameters can be configured:
gerrit/
. Note: It is not a regular expression.email only
, by email per hour
, by email per day
, by email per month
or by email per year
.Once you set the parameters pressing the “Create Dashboard” button will trigger the Dashboard creation and the data import.
Beware this operation will take a while since it requires to download several Docker images and run an ETL job to collect and aggregate the data.
At the end of this operation you will be presented with a dashbaord similar to this one:
You can now navigate among the different charts and uncover the potentials of DevOps analytics!
To build the plugin, JDK 1.8 and sbt are required. Once installed use sbt to build:
cd ./analytics-wizard sbt assembly
This will compile, test and package the plugin artifact, which can be found in ./target/scala-2.11/analytics-wizard.jar
.