commit | ac8aa88113b353ec4bed162a23d94f38e7c68fc7 | [log] [tgz] |
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author | zhangliang <liang.zhang@merico.dev> | Sat Apr 02 15:09:43 2022 +0800 |
committer | zhangliang <liang.zhang@merico.dev> | Sat Apr 02 15:09:43 2022 +0800 |
tree | ce3c60f0e7b198378492c02be545ad1472c74956 | |
parent | c27887307f519b0d91a520852095ef411d2a6f1c [diff] |
refactor: performance improvement
English | 中文 |
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DevLake brings your DevOps data into one practical, customized, extensible view. Ingest, analyze, and visualize data from an ever-growing list of developer tools, with our open source product.
DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask DevLake many questions regarding your development process. Just connect and query.
Click here to see demo. The demo is based on data from this repo.
Username/Password: test/test
like this
are to be run in your terminal.NOTE: After installing docker, you may need to run the docker application and restart your terminal
IMPORTANT: DevLake doesn't support Database Schema Migration yet, upgrading an existing instance is likely to break, we recommend that you deploy a new instance instead.
Download docker-compose.yml
and env.example
from latest release page into a folder
Rename env.example
to .env
Start Docker on your machine, then run docker-compose up -d
to start the services.
Visit localhost:4000
to setup configuration files.
- Navigate to desired plugins pages on the Integrations page
- You will need to enter the required information for the plugins you intend to use.
- Please reference the following for more details on how to configure each one: -> Jira -> GitLab -> Jenkins -> GitHub
- Submit the form to update the values by clicking on the Save Connection button on each form page
devlake
takes a while to fully boot up. ifconfig-ui
complaining about api being unreachable, please wait a few seconds and try refreshing the page.- To collect this repo for a quick preview, please provide a Github personal token on Data Integrations / Github page.
Visit localhost:4000/create-pipeline
to RUN a Pipeline and trigger data collection.
Pipelines Runs can be initiated by the new “Create Run” Interface. Simply enable the Data Source Providers you wish to run collection for, and specify the data you want to collect, for instance, Project ID for Gitlab and Repository Name for GitHub.
Once a valid pipeline configuration has been created, press Create Run to start/run the pipeline. After the pipeline starts, you will be automatically redirected to the Pipeline Activity screen to monitor collection activity.
Pipelines is accessible from the main menu of the config-ui for easy access.
http://localhost:4000/pipelines
http://localhost:4000/create-pipeline
http://localhost:4000/pipelines/activity/[RUN_ID]
For advanced use cases and complex pipelines, please use the Raw JSON API to manually initiate a run using cURL or graphical API tool such as Postman. POST
the following request to the DevLake API Endpoint.
[ [ { "plugin": "github", "options": { "repo": "lake", "owner": "merico-dev" } } ] ]
Please refer to this wiki How to trigger data collection.
Click View Dashboards button in the top left when done, or visit localhost:3002
(username: admin
, password: admin
).
We use Grafana as a visualization tool to build charts for the data stored in our database. Using SQL queries, we can add panels to build, save, and edit customized dashboards.
All the details on provisioning and customizing a dashboard can be found in the Grafana Doc.
To synchronize data periodically, we provide lake-cli
for easily sending data collection requests along with a cron job to periodically trigger the cli tool.
sudo apt-get install build-essential
Navigate to where you would like to install this project and clone the repository:
git clone https://github.com/merico-dev/lake.git cd lake
Install dependencies for plugins:
Install Go packages
go get
Copy the sample config file to new local file:
cp .env.example .env
Update the following variables in the file .env
:
DB_URL
: Replace mysql:3306
with 127.0.0.1:3306
Start the MySQL and Grafana containers:
Make sure the Docker daemon is running before this step.
docker-compose up -d mysql grafana
Run lake and config UI in dev mode in two seperate terminals:
# run lake make dev # run config UI make configure-dev
Visit config UI at localhost:4000
to configure data sources.
- Navigate to desired plugins pages on the Integrations page
- You will need to enter the required information for the plugins you intend to use.
- Please reference the following for more details on how to configure each one: -> Jira -> GitLab, -> Jenkins -> GitHub
- Submit the form to update the values by clicking on the Save Connection button on each form page
Visit localhost:4000/create-pipeline
to RUN a Pipeline and trigger data collection.
Pipelines Runs can be initiated by the new “Create Run” Interface. Simply enable the Data Source Providers you wish to run collection for, and specify the data you want to collect, for instance, Project ID for Gitlab and Repository Name for GitHub.
Once a valid pipeline configuration has been created, press Create Run to start/run the pipeline. After the pipeline starts, you will be automatically redirected to the Pipeline Activity screen to monitor collection activity.
Pipelines is accessible from the main menu of the config-ui for easy access.
http://localhost:4000/pipelines
http://localhost:4000/create-pipeline
http://localhost:4000/pipelines/activity/[RUN_ID]
For advanced use cases and complex pipelines, please use the Raw JSON API to manually initiate a run using cURL or graphical API tool such as Postman. POST
the following request to the DevLake API Endpoint.
[ [ { "plugin": "github", "options": { "repo": "lake", "owner": "merico-dev" } } ] ]
Please refer to this wiki How to trigger data collection.
Click View Dashboards button in the top left when done, or visit localhost:3002
(username: admin
, password: admin
).
We use Grafana as a visualization tool to build charts for the data stored in our database. Using SQL queries, we can add panels to build, save, and edit customized dashboards.
All the details on provisioning and customizing a dashboard can be found in the Grafana Doc.
(Optional) To run the tests:
make test
This section lists all the documents to help you contribute to the repo.
This project is licensed under Apache License 2.0 - see the LICENSE
file for details.