commit | 6168a95cac2fbf5cd4fb5a16ab61a474d40e8452 | [log] [tgz] |
---|---|---|
author | Fabio Ponciroli <ponch78@gmail.com> | Tue Nov 20 12:53:05 2018 +0100 |
committer | Fabio Ponciroli <ponch78@gmail.com> | Tue Nov 20 12:53:05 2018 +0100 |
tree | 2cb11c45fd04ca6c7ed18cdf5a11655f52ec0143 | |
parent | 24ffd6c451390e53efa5ee655c4b458a88a4dbc9 [diff] |
Build for Gerrit version 2.16 Change-Id: I2087beacf1f517cb3d14d3ddc94dbfffec5f695d
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
.
sysctl -w vm.max_map_count=262144
from command line, if you are using a Linux box and the dashboard creation fails with a similar error:max virtual memory areas vm.max_map_count [XXXXX] is too low, increase to at least [262144]