# Technical Documentation: eradman/entr
> ℹ️ **Provenance:** Hybrid Fusion: `eradman/entr` + `eradman/website` · [CodeWiki Reference](https://codewiki.google/github.com/eradman/entr) · Recency: Active (< 180 days)
## 1. Project Overview & Quickstart (eradman/entr)
Event Notify Test Runner
========================
A utility for running arbitrary commands when files change. Uses kqueue(2) or
inotify(7) to avoid polling. `entr` was written to facilitate rapid feedback
on the command line.
Source Installation - BSD, Mac OS, and Linux
--------------------------------------------
./configure
make test
make install
To see available build options run `./configure -h`
Docker and WSL
--------------
Incomplete inotify support on _Windows Subsystem for Linux_ and _Docker for Mac_
may cause `entr` to respond incorrectly. Setting the environment variable
`ENTR_INOTIFY_WORKAROUND` enables `entr` to operate in these environments.
Platform Features
-----------------
On Mac OS and Linux, symlinks are not followed unless the environment variable
`ENTR_FOLLOW_SYMLINK` is set.
Man Page Examples
-----------------
Rebuild a project if source files change, limiting output to the first 20 lines:
$ find src/ | entr -s 'make | head -n 20'
Launch and auto-reload a node.js server:
$ ls *.js | entr -r node app.js
Clear the screen and run a query after the SQL script is updated:
$ echo my.sql | entr -cp psql -f /_
Rebuild project if a source file is modified or added to the src/ directory:
$ while sleep 0.1; do ls src/*.rb | entr -d make; done
Auto-reload a web server, or terminate if the server exits
$ ls * | entr -rz ./httpd
News
----
Notification of new releases are provided by an
[Atom feed](https://github.com/eradman/entr/releases.atom),
and release history is covered in the [NEWS](NEWS) file.
## 2. Official Technical Reference & Guides (eradman/website)
## File: README.md
# Redash Website and Knowledge Base
We use Gatsby as our static site generator. The website is built and hosted with
Netlify.
## Updating contributors data file
```
yarn fetch-contributors > website/_data/contributors.json
```
## Website development
### Gatsby Installed Locally
To start Gatsby in development mode and serve the the website on
`http://localhost:8000` use:
```
yarn run develop
```
If you prefer Gatsby listen on an interface or IP address other than localhost,
use:
```
yarn run develop -H ip_address
```
For example:
```
yarn run develop -H 10.11.12.13
```
Using a DNS name in place of an IP address will also work, assuming the DNS
entry resolves to an IP address on the local machine. This can be achieved
through editing your /etc/hosts.
### Docker Setup
First install dependencies:
```
docker-compose run --rm gatsby install
```
On first run, it will build the Docker image we're using. Once the Node modules
were installed, you can run the following to start the dev server:
```
docker-compose up -d
```
This will run `gatsby develop` in the Docker container in the background,
listening on [`http://localhost:8000`](http://localhost:8000). The first time
you run this command it might take a few moments for Gatsby to compile the
website. You can check progress by tailing the logs:
```
docker-compose logs -f
```
You can edit the project locally and the changes will be reflected inside the
Docker container.
---
## File: docker-compose.yml
services:
gatsby:
build: .
command: develop --host=0.0.0.0
ports:
- '8000:8000'
volumes:
- '.:/app'
---
## File: jsconfig.json
{
"compilerOptions": {
"target": "es2017",
"allowSyntheticDefaultImports": false,
"baseUrl": "./",
"paths": {
"components/*": ["src/components/*"],
"pages/*": ["src/pages/*"],
"scss/*": ["src/scss/*"]
}
},
"exclude": ["node_modules", "public", ".cache"]
}
---
## File: package.json
{
"name": "redash-website",
"version": "1.0.0",
"description": "Redash Website & Knowledge Base",
"main": "n/a",
"dependencies": {
"algoliasearch": "^4.24.0",
"axios": "1.8.4",
"bootstrap-sass": "3.4.1",
"gatsby": "5.14.0",
"gatsby-image": "3.11.0",
"gatsby-link": "5.13.1",
"gatsby-plugin-algolia": "^1.0.3",
"gatsby-plugin-catch-links": "5.14.0",
"gatsby-plugin-feed": "5.13.1",
"gatsby-plugin-google-analytics": "5.14.0",
"gatsby-plugin-netlify": "5.1.1",
"gatsby-plugin-nprogress": "5.14.0",
"gatsby-plugin-preact": "7.14.0",
"gatsby-plugin-react-helmet": "6.13.1",
"gatsby-plugin-react-next": "2.0.1-13",
"gatsby-plugin-remove-serviceworker": "^1.0.0",
"gatsby-plugin-sass": "^6.14.0",
"gatsby-plugin-sharp": "5.14.0",
"gatsby-plugin-sitemap": "6.14.0",
"gatsby-plugin-twitter": "5.13.1",
"gatsby-remark-copy-linked-files": "6.14.0",
"gatsby-remark-external-links": "^0.0.4",
"gatsby-remark-images": "7.14.0",
"gatsby-remark-prismjs": "7.14.0",
"gatsby-remark-responsive-iframe": "6.14.0",
"gatsby-remark-smartypants": "6.14.0",
"gatsby-remark-video": "^1.2.5",
"gatsby-source-filesystem": "5.14.0",
"gatsby-transformer-json": "^5.14.0",
"gatsby-transformer-remark": "6.13.1",
"gatsby-transformer-sharp": "5.13.1",
"gatsby-transformer-yaml": "^5.13.1",
"got": "14.4.6",
"gry": "6.1.1",
"natives": "1.1.6",
"package.json": "^2.0.1",
"postcss": "8.5.1",
"react-bootstrap": "^2.10.5",
"source-map": "^0.7.4",
"webpack-dev-middleware": "7.4.2"
},
"devDependencies": {
"@fortawesome/fontawesome-svg-core": "6.6.0",
"@fortawesome/free-brands-svg-icons": "6.6.0",
"@fortawesome/free-solid-svg-icons": "6.6.0",
"@fortawesome/react-fontawesome": "0.2.2",
"animate.css": "4.1.1",
"babel-eslint": "10.1.0",
"emergence.js": "1.1.2",
"eslint": "9.23.0",
"eslint-config-prettier": "9.1.0",
"eslint-plugin-prettier": "5.3.1",
"eslint-plugin-react": "7.37.4",
"font-awesome": "4.7.0",
"gh-pages": "6.3.0",
"husky": "9.1.7",
"lint-staged": "15.2.10",
"lodash": "4.17.21",
"modern-normalize": "3.0.1",
"node-sass": "9.0.0",
"prettier": "3.3.3",
"prismjs": "1.30.0",
"react": "18.3.1",
"react-dom": "18.3.1",
"react-helmet": "6.1.0",
"textlint": "14.3.0",
"textlint-rule-preset-ja-spacing": "2.4.3",
"textlint-rule-preset-japanese": "10.0.3"
},
"resolutions": {
"natives": "1.1.3"
},
"lint-staged": {
"*.{js,json,md}": [
"prettier --write",
"git add"
],
"*.md": [
"npm run lint:textfix",
"git add"
]
},
"scripts": {
"build": "gatsby build && cp _redirects public/",
"develop": "gatsby develop",
"format": "prettier --write \"**/*.+(js|json|md)\"",
"lint": "eslint --ext .js,.jsx --ignore-pattern public .",
"lint:text": "textlint src/pages/**/index.md",
"lint:textfix": "textlint --fix src/pages/**/index.md",
"precommit": "lint-staged",
"test": "prettier --write \"**/*.+(js|jsx|json|css|scss)\"",
"fetch-contributors": "node bin/fetch-contributors.js"
},
"repository": {
"type": "git",
"url": "git+https://github.com/getredash/website.git"
},
"author": "",
"license": "BSD",
"bugs": {
"url": "https://github.com/getredash/website/issues"
},
"homepage": "https://github.com/getredash/website#readme",
"optionalDependencies": {
"fsevents": "^2.3.3"
}
}
---
## File: renovate.json
{
"extends": ["config:base"],
"automerge": true,
"major": {
"automerge": false
}
}
---
## File: .restyled.yaml
enabled: true
auto: false
# Open Restyle PRs?
pull_requests: true
# Leave comments on the original PR linking to the Restyle PR?
comments: true
# Set commit statuses on the original PR?
statuses:
# Red status in the case of differences found
differences: true
# Green status in the case of no differences found
no_differences: true
# Red status if we encounter errors restyling
error: true
# Request review on the Restyle PR?
#
# Possible values:
#
# author: From the author of the original PR
# owner: From the owner of the repository
# none: Don't
#
# One value will apply to both origin and forked PRs, but you can also specify
# separate values.
#
# request_review:
# origin: author
# forked: owner
#
request_review: author
# Add labels to any created Restyle PRs
#
# These can be used to tell other automation to avoid our PRs.
#
labels:
- restyled
- 'Skip CI'
# Labels to ignore
#
# PRs with any of these labels will be ignored by Restyled.
#
# ignore_labels:
# - restyled-ignore
# Restylers to run, and how
restylers:
- name: prettier
image: 'restyled/restyler-prettier:v3.3.2-2'
command:
- prettier
- '--write'
include:
- src/**/*.js
- src/**/*.jsx
- pages/**/*.jsx
- name: prettier-markdown
image: 'restyled/restyler-prettier:v3.3.2-2'
command:
- prettier
- '--write'
include:
- pages/**/*.md
---
## File: .travis.yml
language: node_js
---
## File: src/data/contributors.json
[
{
"login": "arikfr",
"id": "71468",
"node_id": "MDQ6VXNlcjcxNDY4",
"avatar_url": "https://avatars2.githubusercontent.com/u/71468?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/arikfr",
"html_url": "https://github.com/arikfr",
"followers_url": "https://api.github.com/users/arikfr/followers",
"following_url": "https://api.github.com/users/arikfr/following{/other_user}",
"gists_url": "https://api.github.com/users/arikfr/gists{/gist_id}",
"starred_url": "https://api.github.com/users/arikfr/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/arikfr/subscriptions",
"organizations_url": "https://api.github.com/users/arikfr/orgs",
"repos_url": "https://api.github.com/users/arikfr/repos",
"events_url": "https://api.github.com/users/arikfr/events{/privacy}",
"received_events_url": "https://api.github.com/users/arikfr/received_events",
"type": "User",
"site_admin": false,
"contributions": 3816
},
{
"login": "kocsmy",
"id": "2378022",
"node_id": "MDQ6VXNlcjIzNzgwMjI=",
"avatar_url": "https://avatars2.githubusercontent.com/u/2378022?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kocsmy",
"html_url": "https://github.com/kocsmy",
"followers_url": "https://api.github.com/users/kocsmy/followers",
"following_url": "https://api.github.com/users/kocsmy/following{/other_user}",
"gists_url": "https://api.github.com/users/kocsmy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kocsmy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kocsmy/subscriptions",
"organizations_url": "https://api.github.com/users/kocsmy/orgs",
"repos_url": "https://api.github.com/users/kocsmy/repos",
"events_url": "https://api.github.com/users/kocsmy/events{/privacy}",
"received_events_url": "https://api.github.com/users/kocsmy/received_events",
"type": "User",
"site_admin": false,
"contributions": 309
},
{
"login": "amirnissim",
"id": "1098126",
"node_id": "MDQ6VXNlcjEwOTgxMjY=",
"avatar_url": "https://avatars2.githubusercontent.com/u/1098126?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/amirnissim",
"html_url": "https://github.com/amirnissim",
"followers_url": "https://api.github.com/users/amirnissim/followers",
"following_url": "https://api.github.com/users/amirnissim/following{/other_user}",
"gists_url": "https://api.github.com/users/amirnissim/gists{/gist_id}",
"starred_url": "https://api.github.com/users/amirnissim/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/amirnissim/subscriptions",
"organizations_url": "https://api.github.com/users/amirnissim/orgs",
"repos_url": "https://api.github.com/users/amirnissim/repos",
"events_url": "https://api.github.com/users/amirnissim/events{/privacy}",
"received_events_url": "https://api.github.com/users/amirnissim/received_events",
"type": "User",
"site_admin": false,
"contributions": 201
},
{
"login": "kravets-levko",
"id": "12139186",
"node_id": "MDQ6VXNlcjEyMTM5MTg2",
"avatar_url": "https://avatars3.githubusercontent.com/u/12139186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kravets-levko",
"html_url": "https://github.com/kravets-levko",
"followers_url": "https://api.github.com/users/kravets-levko/followers",
"following_url": "https://api.github.com/users/kravets-levko/following{/other_user}",
"gists_url": "https://api.github.com/users/kravets-levko/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kravets-levko/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kravets-levko/subscriptions",
"organizations_url": "https://api.github.com/users/kravets-levko/orgs",
"repos_url": "https://api.github.com/users/kravets-levko/repos",
"events_url": "https://api.github.com/users/kravets-levko/events{/privacy}",
"received_events_url": "https://api.github.com/users/kravets-levko/received_events",
"type": "User",
"site_admin": false,
"contributions": 182
},
{
"login": "alexanderlz",
"id": "1499009",
"node_id": "MDQ6VXNlcjE0OTkwMDk=",
"avatar_url": "https://avatars0.githubusercontent.com/u/1499009?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/alexanderlz",
"html_url": "https://github.com/alexanderlz",
"followers_url": "https://api.github.com/users/alexanderlz/followers",
"following_url": "https://api.github.com/users/alexanderlz/following{/other_user}",
"gists_url": "https://api.github.com/users/alexanderlz/gists{/gist_id}",
"starred_url": "https://api.github.com/users/alexanderlz/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/alexanderlz/subscriptions",
"organizations_url": "https://api.github.com/users/alexanderlz/orgs",
"repos_url": "https://api.github.com/users/alexanderlz/repos",
"events_url": "https://api.github.com/users/alexanderlz/events{/privacy}",
"received_events_url": "https://api.github.com/users/alexanderlz/received_events",
"type": "User",
"site_admin": false,
"contributions": 69
},
{
"login": "erans",
"id": "10771",
"node_id": "MDQ6VXNlcjEwNzcx",
"avatar_url": "https://avatars3.githubusercontent.com/u/10771?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/erans",
"html_url": "https://github.com/erans",
"followers_url": "https://api.github.com/users/erans/followers",
"following_url": "https://api.github.com/users/erans/following{/other_user}",
"gists_url": "https://api.github.com/users/erans/gists{/gist_id}",
"starred_url": "https://api.github.com/users/erans/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/erans/subscriptions",
"organizations_url": "https://api.github.com/users/erans/orgs",
"repos_url": "https://api.github.com/users/erans/repos",
"events_url": "https://api.github.com/users/erans/events{/privacy}",
"received_events_url": "https://api.github.com/users/erans/received_events",
"type": "User",
"site_admin": false,
"contributions": 58
},
{
"login": "tjwudi",
"id": "5257816",
"node_id": "MDQ6VXNlcjUyNTc4MTY=",
"avatar_url": "https://avatars0.githubusercontent.com/u/5257816?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/tjwudi",
"html_url": "https://github.com/tjwudi",
"followers_url": "https://api.github.com/users/tjwudi/followers",
"following_url": "https://api.github.com/users/tjwudi/following{/other_user}",
"gists_url": "https://api.github.com/users/tjwudi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/tjwudi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/tjwudi/subscriptions",
"organizations_url": "https://api.github.com/users/tjwudi/orgs",
"repos_url": "https://api.github.com/users/tjwudi/repos",
"events_url": "https://api.github.com/users/tjwudi/events{/privacy}",
"received_events_url": "https://api.github.com/users/tjwudi/received_events",
"type": "User",
"site_admin": false,
"contributions": 55
},
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"login": "washort",
"id": "947487",
"node_id": "MDQ6VXNlcjk0NzQ4Nw==",
"avatar_url": "https://avatars2.githubusercontent.com/u/947487?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/washort",
"html_url": "https://github.com/washort",
"followers_url": "https://api.github.com/users/washort/followers",
"following_url": "https://api.github.com/users/washort/following{/other_user}",
"gists_url": "https://api.github.com/users/washort/gists{/gist_id}",
"starred_url": "https://api.github.com/users/washort/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/washort/subscriptions",
"organizations_url": "https://api.github.com/users/washort/orgs",
"repos_url": "https://api.github.com/users/washort/repos",
"events_url": "https://api.github.com/users/washort/events{/privacy}",
"received_events_url": "https://api.github.com/users/washort/received_events",
"type": "User",
"site_admin": false,
"contributions": 45
},
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"login": "alexdebrie",
"id": "6509926",
"node_id": "MDQ6VXNlcjY1MDk5MjY=",
"avatar_url": "https://avatars3.githubusercontent.com/u/6509926?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/alexdebrie",
"html_url": "https://github.com/alexdebrie",
"followers_url": "https://api.github.com/users/alexdebrie/followers",
"following_url": "https://api.github.com/users/alexdebrie/following{/other_user}",
"gists_url": "https://api.github.com/users/alexdebrie/gists{/gist_id}",
"starred_url": "https://api.github.com/users/alexdebrie/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/alexdebrie/subscriptions",
"organizations_url": "https://api.github.com/users/alexdebrie/orgs",
"repos_url": "https://api.github.com/users/alexdebrie/repos",
"events_url": "https://api.github.com/users/alexdebrie/events{/privacy}",
"received_events_url": "https://api.github.com/users/alexdebrie/received_events",
"type": "User",
"site_admin": false,
"contributions": 41
},
{
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"node_id": "MDQ6VXNlcjE5NjAxOA==",
"avatar_url": "https://avatars1.githubusercontent.com/u/196018?v=4",
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"url": "https://api.github.com/users/christophervalles",
"html_url": "https://github.com/christophervalles",
"followers_url": "https://api.github.com/users/christophervalles/followers",
"following_url": "https://api.github.com/users/christophervalles/following{/other_user}",
"gists_url": "https://api.github.com/users/christophervalles/gists{/gist_id}",
"starred_url": "https://api.github.com/users/christophervalles/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/christophervalles/subscriptions",
"organizations_url": "https://api.github.com/users/christophervalles/orgs",
"repos_url": "https://api.github.com/users/christophervalles/repos",
"events_url": "https://api.github.com/users/christophervalles/events{/privacy}",
"received_events_url": "https://api.github.com/users/christophervalles/received_events",
"type": "User",
"site_admin": false,
"contributions": 38
},
{
"login": "deecay",
"id": "1698635",
"node_id": "MDQ6VXNlcjE2OTg2MzU=",
"avatar_url": "https://avatars2.githubusercontent.com/u/1698635?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/deecay",
"html_url": "https://github.com/deecay",
"followers_url": "https://api.github.com/users/deecay/followers",
"following_url": "https://api.github.com/users/deecay/following{/other_user}",
"gists_url": "https://api.github.com/users/deecay/gists{/gist_id}",
"starred_url": "https://api.github.com/users/deecay/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/deecay/subscriptions",
"organizations_url": "https://api.github.com/users/deecay/orgs",
"repos_url": "https://api.github.com/users/deecay/repos",
"events_url": "https://api.github.com/users/deecay/events{/privacy}",
"received_events_url": "https://api.github.com/users/deecay/received_events",
"type": "User",
"site_admin": false,
"contributions": 38
},
{
"login": "kyoshidajp",
"id": "3317191",
"node_id": "MDQ6VXNlcjMzMTcxOTE=",
"avatar_url": "https://avatars3.githubusercontent.com/u/3317191?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kyoshidajp",
"html_url": "https://github.com/kyoshidajp",
"followers_url": "https://api.github.com/users/kyoshidajp/followers",
"following_url": "https://api.github.com/users/kyoshidajp/following{/other_user}",
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---
## File: src/data/customers.yml
- customer: Root
url: https://www.joinroot.com/
logo: '/assets/images/customers/root.png'
person: Dan Manges
role: CTO
profile-img: '/assets/images/customers/dan-manges.jpg'
quote: Root is an extremely data-driven company. We make dozens of changes to our product every week, and we measure the impact of all of them. Redash allows us to easily analyze data and share results among our team.
- customer: AuptiX
url: https://www.auptix.com/
logo: '/assets/images/customers/auptix.png'
person: Lu Saenz
role: VP Engineering & Product
profile-img: '/assets/images/customers/lu-saenz.jpg'
quote: Redash enabled us to surface visualizations and dashboards to everyone in the company -- remarkably easily and efficiently. The capabilities to share query results and combine many queries into publicly viewable dashboards work flawlessly and get the job done.
- customer: MyBook
url: https://mybook.ru/
logo: '/assets/images/customers/mybook.png'
person: Ilya Baryshev
role: CTO
profile-img: '/assets/images/customers/ilya-baryshev.jpg'
quote: Redash greatly reduced the need to build custom analytics UI. Our Marketing team now heavily uses cohort dashboards, it is their daily tool now! Overall, Redash saves ton of time for the team.
- customer: FindHotel
url: https://www.findhotel.net/
logo: '/assets/images/customers/findhotel.png'
person: German Gomez-Herrero
role: CTO
profile-img: '/assets/images/customers/german-gomez-herrero.jpg'
quote: At FindHotel every important decision is based on data, and Redash has quickly become one of the preferred tools to share a data story across the company. Redash dashboards combined with the large number of supported data sources have made our company data fully transparent for everyone. From technical metrics such as pipeline latencies and infrastructure costs, to high level business metrics. Everything can be easily accessed and visualised with Redash.
- customer: DataMiner
url: https://data-miner.io/
logo: '/assets/images/customers/data-miner.png'
person: Ben Dehghan
role: Co-Founder
profile-img: '/assets/images/customers/ben-dehghan.jpg'
quote: Redash is as essential as email to my company. We love data but accessing the data is a pain without Redash. Any company I go to, I get them hooked on Redash. It's an easy sell :)
- customer: VoxFeed
url: https://voxfeed.com/
logo: '/assets/images/customers/voxfeed.png'
person: Manuel de la Torre
role: CTO
profile-img: '/assets/images/customers/manuel-de-la-torre.png'
quote: Since we use Redash Dashboards our team is more involved in all areas of our business and we take always data-driven decisions. We passed from spending about an hour scripting to get a report, to just type a simple query and have the results ready-to-use immediately.
- customer: SkyEng
url: https://skyeng.ru/
logo: '/assets/images/customers/skyeng.png'
person: Gleb Sologub
role: Prouduct Analyst
profile-img: ''
quote: I love Redash for the simplicity, price and a great number of usage patterns. My favourite features are parameters and filters as well as Redash API.
- customer: Sheetsu
url: http://sheetsu.com/
logo: '/assets/images/customers/sheetsu.png'
person: Michael Oblak
role: Founder
profile-img: '/assets/images/customers/michael-oblak.jpg'
quote: It's easy for us to connect data from different sources and see the bigger picture and get more knowledge from all the data we are gathering in all different places. Redash helped us to see how our business is going. Before doing anything, we are setting the KPIs, which we are tracking on the dashboards. We have queries that help us answer some of the questions, why our users behave in such way or another. Very easy to set up. Perfect to collaborate with other team mates.
- customer: Atomized
url: https://www.atomized.com/
logo: '/assets/images/customers/atomized.jpeg'
person: Jon Lee
role: CTO
profile-img: ''
quote: The ability to query multiple data sources from a single window in a read-only environment is a huge plus for our team on a day to day basis. Redash allowed our team to provide better customer service by giving us the information we need without requiring a developer to get involved.
- customer: Redox
url: https://www.redoxengine.com/
logo: '/assets/images/customers/redox.png'
person: Tom Jessessky
role: Data and Analytics Lead
profile-img: '/assets/images/customers/tom-jessessky.jpg'
quote: Redash's ability to efficiently query Redshift has allowed it to fill in the gaps where our other (more expensive) dashboard tools fall short.
- customer: SpareFoot
url: https://www.sparefoot.com/
logo: '/assets/images/customers/sparefoot.png'
person: Debyani Ghosh
role: Senior Data Architect
profile-img: ''
quote: Redash makes it easy for our analysts and engineers to save queries and share across the business. We like the fact that the end users have the same UI experience whether they are connecting to Redshift, Mysql or Data Lake via Athena.
- customer: Just Add Music
url: https://www.justaddmusic.net/
logo: '/assets/images/customers/justaddmusic.png'
person: Dirk Bosman
role: Data Analyst
profile-img: '/assets/images/customers/dirk-bosman.jpg'
quote: With Redash, we have managed to integrate various data source in one single view to make our company more data-driven.
- customer: Farmster
url: https://www.farmster.co/
logo: '/assets/images/customers/farmster.png'
person: Adam Abramson
role: Founder
profile-img: ''
quote: Redash is a huge plus for a startup seeking to display our progress to investors and partners in a simple and elegant way.
- customer: Datree
url: https://datree.io/
logo: '/assets/images/customers/datree.png'
person: Eyar Zilberman
role: CPO
profile-img: '/assets/images/customers/eyar-zilberman.jpg'
quote: Redash is the right tool to use when creating a new data-related MVP. With Redash, the feedback-loop from customers is faster and simple!
---
## File: src/data/footer_links.yml
- name: Redash
links:
- name: Product
url: /product/
- name: Integrations
url: /integrations/
- name: Users
url: /customers/
- name: Case Studies
url: /case-studies/
- name: Community
links:
- name: About
url: /community/
- name: Help
links:
- name: Knowledge Base
url: /help/
- name: GitHub Discussions
url: https://github.com/getredash/redash/discussions
---
## File: src/data/kb_sections.yml
- name: User Guide
slug: user-guide
- name: Data Sources
slug: data-sources
- name: FAQ
slug: faq
- name: Open Source & Self Hosted
slug: open-source
---
## File: src/pages/data_sources/_databases/amazon-athena.md
---
title: Query and Visualize data from Amazon Athena
name: Amazon Athena
logo: /assets/images/integrations/athena.png
path: /data-sources/amazon-athena/
---
---
## File: src/pages/data_sources/_databases/amazon-aurora.md
---
title: Query and Visualize data from Amazon Aurora
name: Amazon Aurora
logo: /assets/images/integrations/aurora.png
path: /data-sources/amazon-aurora/
---
---
## File: src/pages/data_sources/_databases/amazon-dynamodb.md
---
title: Query and Visualize data from Amazon DynamoDB
name: Amazon DynamoDB
logo: /assets/images/integrations/dynamodb_sql.png
path: /data-sources/amazon-dynamodb/
---
---
## File: src/pages/data_sources/_databases/amazon-redshift.md
---
title: Query and Visualize data from Amazon Redshift
name: Amazon Redshift
logo: /assets/images/integrations/redshift.png
show_on_homepage: true
path: /data-sources/amazon-redshift/
---
---
## File: src/pages/data_sources/_databases/atsd.md
---
title: Query and Visualize data from Axibase Time Series Database
name: Axibase TSDB
logo: /assets/images/integrations/axibase.png
path: /data-sources/atsd/
---
---
## File: src/pages/data_sources/_databases/azure-kusto.md
---
title: Query and Visualize data from Azure Data Explorer (Kusto)
name: Azure Data Explorer (Kusto)
logo: /assets/images/integrations/azure_kusto.png
show_on_homepage: true
path: /data-sources/azure-kusto/
---
---
## File: src/pages/data_sources/_databases/cassandra.md
---
title: Query and Visualize data from Cassandra
name: Cassandra
logo: /assets/images/integrations/cassandra.png
path: /data-sources/cassandra/
---
---
## File: src/pages/data_sources/_databases/clickhouse.md
---
title: Query and Visualize data from ClickHouse
name: ClickHouse
logo: /assets/images/integrations/clickhouse.png
path: /data-sources/clickhouse/
---
---
## File: src/pages/data_sources/_databases/databricks.md
---
title: Query and Visualize data from Databricks
name: Databricks
logo: /assets/images/integrations/databricks_logo.png
path: /data-sources/databricks/
---
---
## File: src/pages/data_sources/_databases/druid.md
---
title: Query and Visualize data from Druid
name: Druid
logo: /assets/images/integrations/druid.png
show_on_homepage: true
path: /data-sources/druid/
---
---
## File: src/pages/data_sources/_databases/elasticsearch.md
---
title: Query and Visualize data from Elasticsearch
name: Elasticsearch
logo: /assets/images/integrations/elasticsearch.png
show_on_homepage: true
path: /data-sources/elasticsearch/
---
---
## File: src/pages/data_sources/_databases/google-bigquery.md
---
title: Query and Visualize data from Google BigQuery
name: Google BigQuery
logo: /assets/images/integrations/bigquery.png
show_on_homepage: true
path: /data-sources/google-bigquery/
---
---
## File: src/pages/data_sources/_databases/graphite.md
---
title: Query and Visualize data from Graphite
name: Graphite
logo: /assets/images/integrations/graphite.png
path: /data-sources/graphite/
---
---
## File: src/pages/data_sources/_databases/greenplum.md
---
title: Query and Visualize data from Greenplum
name: Greenplum
logo: /assets/images/integrations/greenplum.png
path: /data-sources/greenplum/
---
---
## File: src/pages/data_sources/_databases/hive.md
---
title: Query and Visualize data from Hive
name: Hive
logo: /assets/images/integrations/hive.png
path: /data-sources/hive/
---
---
## File: src/pages/data_sources/_databases/impala.md
---
title: Query and Visualize data from Impala
name: Impala
logo: /assets/images/integrations/impala.png
path: /data-sources/impala/
---
---
## File: src/pages/data_sources/_databases/influxdb.md
---
title: Query and Visualize data from InfluxDB
name: InfluxDB
logo: /assets/images/integrations/influxdb.png
path: /data-sources/influxdb/
---
---
## File: src/pages/data_sources/_databases/memsql.md
---
title: Query and Visualize data from MemSQL
name: MemSQL
logo: /assets/images/integrations/memsql.png
show_on_homepage: true
path: /data-sources/memsql/
---
---
## File: src/pages/data_sources/_databases/microsoft-sql-server.md
---
title: Query and Visualize data from Microsoft SQL Server
name: Microsoft SQL Server
logo: /assets/images/integrations/microsoftsqlserver.png
path: /data-sources/microsoft-sql-server/
---
---
## File: src/pages/data_sources/_databases/mongodb.md
---
title: Query and Visualize data from MongoDB
name: MongoDB
logo: /assets/images/integrations/mongodb.png
show_on_homepage: true
path: /data-sources/mongodb/
---
---
## File: src/pages/data_sources/_databases/mysql.md
---
title: Query and Visualize data from MySQL
name: MySQL
logo: /assets/images/integrations/mysql.png
show_on_homepage: true
path: /data-sources/mysql/
---
---
## File: src/pages/data_sources/_databases/oracle.md
---
title: Query and Visualize data from Oracle
name: Oracle
logo: /assets/images/integrations/oracle.png
path: /data-sources/oracle/
---
---
## File: src/pages/data_sources/_databases/postgresql.md
---
title: Query and Visualize data from PostgreSQL
name: PostgreSQL
logo: /assets/images/integrations/postgresql.png
show_on_homepage: true
path: /data-sources/postgresql/
---
---
## File: src/pages/data_sources/_databases/presto.md
---
title: Query and Visualize data from Presto
name: Presto
logo: /assets/images/integrations/presto.png
path: /data-sources/presto/
---
---
## File: src/pages/data_sources/_databases/rockset.md
---
title: Query and Visualize data from Rockset
name: Rockset
logo: /assets/images/integrations/rockset.png
path: /data-sources/rockset/
---
---
## File: src/pages/data_sources/_databases/scylladb.md
---
title: Query and Visualize data from ScyllaDB
name: ScyllaDB
logo: /assets/images/integrations/scylladb.png
path: /data-sources/scylladb/
---
---
## File: src/pages/data_sources/_databases/snowflake.md
---
title: Query and Visualize data from Snowflake
name: Snowflake
logo: /assets/images/integrations/snowflake.png
show_on_homepage: true
path: /data-sources/snowflake/
---
---
## File: src/pages/data_sources/_databases/treasuredata.md
---
title: Query and Visualize data from TreasureData
name: TreasureData
logo: /assets/images/integrations/treasure-data.png
path: /data-sources/treasuredata/
---
---
## File: src/pages/data_sources/_databases/vertica.md
---
title: Query and Visualize data from Vertica
name: Vertica
logo: /assets/images/integrations/vertica.png
path: /data-sources/vertica/
---
---
## File: src/pages/data_sources/_integrations/google-analytics.md
---
title: Query and Visualize data from Google Analytics
name: Google Analytics
logo: /assets/images/integrations/google-analytics.png
path: /data-sources/google-analytics/
---
---
## File: src/pages/data_sources/_integrations/google-spreadsheets.md
---
title: Query and Visualize data from Google Spreadsheets
name: Google Spreadsheets
logo: /assets/images/integrations/google-spreadsheet.png
---
---
## File: src/pages/data_sources/_integrations/jira.md
---
title: Query and Visualize data from JIRA
name: JIRA
logo: /assets/images/integrations/jira.png
---
---
## File: src/pages/data_sources/_integrations/json.md
---
title: Query and Visualize data from JSON
name: JSON
logo: /assets/images/integrations/json.png
---
---
## File: src/pages/data_sources/_integrations/python.md
---
title: Query and Visualize data from Python
name: Python
logo: /assets/images/integrations/python.png
---
---
## File: src/pages/data_sources/_integrations/salesforce.md
---
title: Query and Visualize data from Salesforce
name: Salesforce
logo: /assets/images/integrations/salesforce.png
path: /data-sources/salesforce/
---
---
## File: src/pages/data_sources/_integrations/yandex-appmetrica.md
---
title: Query and Visualize data from Yandex AppMetrica
name: Yandex AppMetrica
logo: /assets/images/integrations/yandex-appmetrica.png
path: /data-sources/yandex-appmetrica/
---
---
## File: src/pages/data_sources/_integrations/yandex-metrica.md
---
title: Query and Visualize data from Yandex Metrica
name: Yandex Metrica
logo: /assets/images/integrations/yandex-metrica.png
path: /data-sources/yandex-metrica/
---
---
## File: src/pages/data_sources/_partners/segment.md
---
title: Query and Visualize data from Segment
name: Segment
logo: /assets/images/integrations/segment.png
path: /integrations/segment/
---
---
## File: src/pages/data_sources/_partners/snowplow.md
---
title: Query and Visualize data from Snowplow
name: Snowplow Analytics
logo: /assets/images/integrations/partner_snowplow.png
path: /integrations/snowplow/
---
---
## File: src/pages/data_sources/_partners/stitch.md
---
title: Query and Visualize data from Stitch
name: Stitch
logo: /assets/images/temp/Stitch.png
path: /integrations/stitch/
---
---
## File: src/pages/kb/data-sources/amazon-athena.md
---
category: querying
parent_category: data-sources
title: Amazon Athena
slug: amazon-athena
toc: true
---
The first thing you'll need to do is create an IAM user that will have
permissions to run queries with Amazon Athena and access the S3 buckets that
contain your data.
## Create IAM Policy
The policy should allow access to your S3 bucket
1. Sign in to the IAM console at .
2. In the navigation pane, choose Policies, and then Create Policy.
In the policy body, you can use a policy similar to:
```
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject"
],
"Resource": [
"arn:aws:s3:::my-bucket/*"
]
},
{
"Effect": "Allow",
"Action": [
"s3:GetBucketLocation",
"s3:ListBucket"
],
"Resource": [
"arn:aws:s3:::my-bucket"
]
}
]
}
```
Don't forget to change `my-bucket` to your bucket name. You can list several
buckets, but please note that we have separate permissions for the bucket (
`arn:aws:s3:::my-bucket`) and the objects (`arn:aws:s3:::my-bucket/*`).
## Create IAM User
- Sign in to the IAM console at .
- In the navigation pane, choose Users, and then Add User.
- Enter the desired User Name.
- Check the checkbox next to Programmatic Access and then click Next.
- In the Permissions step, select Attach existing policies directly and attach
the AWSQuicksightAthenaAccess policy along with the one to access S3 buckets
you created previously.
- Click Next, then review all the details and Create User.
- Take note of the Access Key ID and Secret Access Key.
## Create Athena Data Source
In Redash, in the New Data Source page select "Athena" as the data source type
and fill out the details using the information from the previous step:
- **AWS Access Key** and **AWS Secret Key** are the ones from the previous step.
- **AWS Region** is the region where you use Amazon Athena.
- **S3 Staging Path** is the bucket Amazon Athena uses for staging/query
results, you might have created it already if you used Amazon Athena from AWS
console - simply copy the same path.
{% callout info %}
If you have trouble refreshing the Athena data source schema, check whether
you're using
[AWS Glue](https://docs.aws.amazon.com/athena/latest/ug/glue-athena.html). If so
you should toggle **Use Glue Data Catalog** under the Additional Settings menu.
{% endcallout %}
## Troubleshooting
If you're getting an error message saying: **"Insufficient permissions to
execute the query."**, then make sure that you gave permissions to the IAM user
to access the S3 bucket where the data is stored.
### AWSQuicksightAthenaAccess
When using Athena you need the following S3 permissions:
- Read permissions for the buckets you query from.
- Write permissions for the Query Results bucket.
The latter is supposed to be covered by the _AWSQuicksightAthenaAccess_ policy,
but it defines this only for the following buckets:
`arn:aws:s3:::aws-athena-query-results-*` .
If you use a different bucket location, you need to specify it in your custom
policy. The required permissions for the query results bucket are:
"s3:GetBucketLocation",
"s3:GetObject",
"s3:ListBucket",
"s3:ListBucketMultipartUploads",
"s3:ListMultipartUploadParts",
"s3:AbortMultipartUpload",
"s3:CreateBucket",
"s3:PutObject"
---
## File: src/pages/kb/data-sources/amazon-cloudwatch.md
---
category: querying
parent_category: data-sources
title: Amazon CloudWatch
slug: amazon-cloudwatch
toc: true
---
## Setup
Redash connects to CloudWatch using the `boto3` client. According to their [documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html) before you can query with Redash...
> [Y]ou should set up authentication credentials. Credentials for your AWS account can be found in the IAM Console. You can create or use an existing user. Go to manage access keys and generate a new set of keys.
With your `access_key_id` and `secret_access_key` you can set up the CloudWatch and CloudWatch Log Insights data sources.
## Querying CloudWatch
These instructions assume you are familiar with the CloudWatch ad-hoc query language. To make exploring your data easier the schema browser will show which **Namespaces** and **Metrics** you can query.
Your query text must written in [YAML syntax](https://yaml.org/start.html) (not SQL). It should be an array of `MetricDataQuery` objects under a key called `MetricsDataQueries`. When you execute the query Redash converts this array to one or more `get_metric_data()` calls.
Here's an example that sends two `MetricDataQuery` objects.
```yaml
MetricDataQueries:
- Id: database_connections
MetricStat:
Metric:
Namespace: AWS/RDS
MetricName: DatabaseConnections
Period: 60
Stat: Maximum
- Id: swap_usage
MetricStat:
Metric:
Namespace: AWS/RDS
MetricName: SwapUsage
Period: 60
Stat: Maximum
StartTime: '2020-01-01 00:00:00'
```
{% callout info %}
To query your CloudWatch data with SQL, first pull data using the YAML syntax. Then use QRDS to filter and sort the results
{% endcallout %}
### Helpful Links
To learn more about the CloudWatch ad-hoc query language you can study the following links.
- [`boto3` reference](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/cloudwatch.html#CloudWatch.Client.get_metric_data)
- [`GetMetricData` API Description](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_GetMetricData.html)
- [`MetricDataQuery` Format](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDataQuery.html)
- [`MetricStat` Format](https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricStat.html)
## Querying CloudWatch Logs Insights
These instructions assume you are familiar with the CloudWatch Logs Insights ad-hoc query language. To make exploring your data easier the schema browser will show which **Log Groups** and **@Fields** you can query. Your query text must be written in [YAML Syntax]() (not SQL). Your query can include the following keys:
| Key | Type |
| --------------- | --------------------- |
| `logGroupName` | string |
| `logGroupNames` | array of strings |
| `startTime` | integer or timestring |
| `endTime` | integer or timestring |
| `queryString` | string |
| `limit` | integer |
Your query _must_ include either a `logGroupName` or `logGroupNames`. When you execute the query Redash converts this object into a `start_query()` call. Here is an example query:
```
startTime: '2020-01-01 00:00'
logGroupNames: ['/ecs/rq-adhoc', '/ecs/rq-scheduled', '/ecs/rq-workers-scheduled']
queryString:
filter @message like 'Opened tunnel for '
| parse 'Opened tunnel for () with port *' as port
| fields @timestamp, @logStream
| sort @timestamp desc
```
### Helpful Links
- [Query Syntax](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/logs.html#CloudWatchLogs.Client.start_query).
---
## File: src/pages/kb/data-sources/amazon-redshift.md
---
category: querying
parent_category: data-sources
title: Amazon Redshift
slug: amazon-redshift
# toc: true
---
## How to Configure Security Groups
1. Begin at the Amazon Redshift console navigation pane. Choose **Clusters**.
2. Open your cluster to the **Configuration** tab.
3. Under _Cluster Properties_ → _VPC Security Groups_ choose your security
group. It will open in the Amazon EC2 console.
4. Choose the **Inbound** tab.
5. Here you can add a rule that allows traffic into your cluster. You can
configure this to accept inbound connections from your Redash host. Click
**Edit** and then
- For **Type** choose `Custom TCP Rule`
- For **Protocol** choose `TCP`
- For **Port Range** type the same port number that you used when you
launched the cluster. The default port for Amazon Redshift is `5439`.
Yours may be different.
- For **Source** pick `Custom IP` and enter your Redash instance's IP
address. If you use hosted Redash enter `52.71.84.157/32`. This is our
public IP address.
- Click **Save**
---
## File: src/pages/kb/data-sources/axibase-time-series-database.md
---
category: querying
parent_category: data-sources
helpscout_url: https://help.redash.io/article/123-axibase-time-series-database
title: Axibase Time Series Database
slug: axibase-time-series-database
toc: true
---
### User Setup:
### Create User Group with READ-ONLY Permissions
1. Login into PTSD web interface at [https://atsd_host:8443](https://atsd_host:8443/).
2. Open Admin > User groups page, click Create.
3. Specify user group name and the optional description.
4. Grant the group 'Read' permission from 'All entities'.
5. Press the Save button.
### Create User
1. Open Admin > Users page, click Create.
2. Specify username, password, and other fields if necessary.
3. Add the user to the previously created User Group as a member in the 'Entity Permissions' section.
4. Press the Save button.
## Create Data Source
1. Login into Redash web interface.
2. Open the New Data Source page, select 'Axibase Time Series Database' as type.
3. Complete the following fields on the configuration form:
+----------------------------+---------------+----------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Name | Default Value | Required | Description |
+----------------------------+---------------+----------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Username | --- | Yes | User name. |
| Password | --- | Yes | User password. |
| Metric Limit | 5000 | No | Maximum number of ATSD [metrics](https://github.com/axibase/atsd-docs/blob/master/api/meta/metric/list.md#query-parameters) displayed as tables in Redash. |
| Metric Filter | --- | No | Include metrics that match an [expression filter](https://github.com/axibase/atsd-docs/blob/master/api/meta/metric/list.md#query-parameters). |
| Metric Minimum Insert Date | --- | No | Include metrics with [last insert date](https://github.com/axibase/atsd-docs/blob/master/api/meta/metric/list.md#query-parameters) equal to or greater than the specified date. ISO date format and endtime syntax is supported. |
| Protocol | http | Yes | Connection protocol. |
| Trust SSL Certificate | False | No | Trust SSL certificate, if the certificate is self-signed. |
| Host | localhost | No | ATSD hostname or IP address. |
| Port | 8088 | No | ATSD http (8088) or https (8443) port. |
| Connection Timeout | 600 | No | Connection timeout in seconds. |
+----------------------------+---------------+----------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
- Save the data source.
- Test the connection by clicking the 'Test' button.
## Run a Query
Once the Test is successful, you can query the data stored in Axibase Time
Series Database.
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