mirror of https://github.com/citusdata/citus.git
114 lines
4.7 KiB
Markdown
114 lines
4.7 KiB
Markdown
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[](https://travis-ci.com/citusdata/citus)
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[](https://webchat.freenode.net/?channels=citus)
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[](https://www.citusdata.com/docs/citus/5.0)
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### What is Citus?
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* **Open-source** PostgreSQL extension (not a fork)
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* **Scalable** across multiple hosts through sharding and replication
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* **Distributed** engine for query parallelization
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* **Highly available** in the face of host failures
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Citus horizontally scales PostgreSQL across commodity servers using
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sharding and replication. Its query engine parallelizes incoming
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SQL queries across these servers to enable real-time responses on
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large datasets.
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Citus extends the underlying database rather than forking it, which
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gives developers and enterprises the power and familiarity of a
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traditional relational database. As an extension, Citus supports
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new PostgreSQL releases, allowing users to benefit from new features
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while maintaining compatibility with existing PostgreSQL tools.
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Note that Citus supports many (but not all) SQL commands; see the
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[FAQ](https://www.citusdata.com/frequently-asked-questions) for
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more details.
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Common Use-Cases:
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* Powering real-time analytic dashboards
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* Exploratory queries on events as they happen
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* Large dataset archival and reporting
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* Session analytics (funnels, segmentation, and cohorts)
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To learn more, visit [citusdata.com](https://www.citusdata.com).
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### Quickstart
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#### Local Citus Cluster
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* Install docker-compose: [Mac](https://www.docker.com/products/docker-toolbox) | [Linux](https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-compose-on-ubuntu-14-04)
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* (Mac only) connect to Docker VM
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```bash
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eval $(docker-machine env default)
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```
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* Pull and start the docker images
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```bash
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wget https://raw.githubusercontent.com/citusdata/docker/master/docker-compose.yml
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docker-compose -p citus up -d
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```
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* Connect to the master database
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```bash
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docker exec -it citus_master psql -U postgres -d postgres
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```
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* Follow the [first tutorial](https://www.citusdata.com/docs/citus/5.0/tutorials/tut-real-time.html) instructions
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* To shut the cluster down, run
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```bash
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docker-compose -p citus down
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```
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### Learn More
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The project [documentation](https://www.citusdata.com/docs/citus/5.0) and
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[tutorials](https://www.citusdata.com/docs/citus/5.0/tutorials/tut-real-time.html) are good places to start.
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We’re responsive on Github, so you can use the [issue
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tracker](https://github.com/citusdata/citus/issues) to check for or
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submit bug reports and feature requests. For more immediate help
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or general discussion we’re on IRC at `#citus` on Freenode and
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[@citusdata](https://twitter.com/citusdata) on Twitter.
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We also offer training and dedicated support options. More information
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is available on our [support
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page](https://www.citusdata.com/citus-products/citus-data-pricing).
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### Contributing
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Citus is built on and of open source. We welcome your contributions,
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and have added a
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[helpwanted](https://github.com/citusdata/citus/labels/helpwanted) label
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to issues which are accessible to new contributors. The
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[CONTRIBUTING.md](CONTRIBUTING.md) file explains how to get started
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developing the Citus extension itself and our code quality guidelines.
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### Who is Using Citus?
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Citus is deployed in production by many customers, ranging from
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technology start-ups to large enterprises. Here are some examples:
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* [CloudFlare](https://www.cloudflare.com/) uses Citus to provide
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real-time analytics on 100 TBs of data from over 4 million customer
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websites. [Case
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Study](https://blog.cloudflare.com/scaling-out-postgresql-for-cloudflare-analytics-using-citusdb/)
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* [MixRank](https://mixrank.com/) uses Citus to efficiently collect
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and analyze vast amounts of data to allow inside B2B sales teams
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to find new customers. [Case
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Study](https://www.citusdata.com/solutions/case-studies/mixrank-case-study)
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* [Neustar](https://www.neustar.biz/) builds and maintains scalable
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ad-tech infrastructure that counts billions of events per day using
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Citus and HyperLogLog.
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* [Agari](https://www.agari.com/) uses Citus to secure more than
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85 percent of U.S. consumer emails on two 6-8 TB clusters. [Case
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Study](https://www.citusdata.com/solutions/case-studies/agari-case-study)
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* [Heap](https://heapanalytics.com/) uses Citus to run dynamic
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funnel, segmentation, and cohort queries across billions of users
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and tens of billions of events. [Watch
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Video](https://www.youtube.com/watch?v=NVl9_6J1G60&list=PLixnExCn6lRpP10ZlpJwx6AuU3XIgNWpL)
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___
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Copyright 2012-2016 Citus Data
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