Distributed PostgreSQL as an extension
 
 
 
 
 
 
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Brian Cloutier 1df4b8ba32 Better error on "CREATE INDEX already_exists ..."
Previously (if you're creating the index with the same name on different
tables) we successfully ran the command on the workers before failing it
on the master and leaving no record of the index.

Now we check whether the index exists on the master before sending
commands to the workers.

--

Also make the error better when user attampts to create an index without
a name. Previously those statements returned:

brian=# create index on c (b);
WARNING:  could not receive query results from localhost:9700
DETAIL:  Client error: cannot extend name for null index name
ERROR:  could not execute DDL command on worker node shards

They now return

brian=# create index on c (b);
ERROR:  creating index without a name on a distributed table is
currently unsupported
2016-04-18 13:33:53 -07:00
src Better error on "CREATE INDEX already_exists ..." 2016-04-18 13:33:53 -07:00
.gitattributes Switch to using git attributes to ignore files 2016-02-15 23:41:51 -07:00
.gitignore Initial commit of Citus 5.0 2016-02-11 04:05:32 +02:00
.travis.yml Initial commit of Citus 5.0 2016-02-11 04:05:32 +02:00
CHANGELOG.md Add CHANGELOG 2016-03-23 17:28:16 -06:00
CONTRIBUTING.md Proper indentation for code blocks in lists 2016-03-30 15:40:53 -07:00
LICENSE Add AGPL-3.0 in LICENSE file 2016-03-23 17:04:58 -06:00
Makefile Fix various build issues 2016-03-11 13:38:47 -07:00
Makefile.global.in Fix various build issues 2016-03-11 13:38:47 -07:00
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README.md

Citus Banner

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What is Citus?

  • Open-source PostgreSQL extension (not a fork)
  • Scalable across multiple hosts through sharding and replication
  • Distributed engine for query parallelization
  • Highly available in the face of host failures

Citus horizontally scales PostgreSQL across commodity servers using sharding and replication. Its query engine parallelizes incoming SQL queries across these servers to enable real-time responses on large datasets.

Citus extends the underlying database rather than forking it, which gives developers and enterprises the power and familiarity of a traditional relational database. As an extension, Citus supports new PostgreSQL releases, allowing users to benefit from new features while maintaining compatibility with existing PostgreSQL tools. Note that Citus supports many (but not all) SQL commands; see the FAQ for more details.

Common Use-Cases:

  • Powering real-time analytic dashboards
  • Exploratory queries on events as they happen
  • Large dataset archival and reporting
  • Session analytics (funnels, segmentation, and cohorts)

To learn more, visit citusdata.com and join the mailing list to stay on top of the latest developments.

Quickstart

Local Citus Cluster

  • Install docker-compose: Mac | Linux

  • (Mac only) connect to Docker VM

    eval $(docker-machine env default)
    
  • Pull and start the docker images

    wget https://raw.githubusercontent.com/citusdata/docker/master/docker-compose.yml
    docker-compose -p citus up -d
    
  • Connect to the master database

    docker exec -it citus_master psql -U postgres -d postgres
    
  • Follow the first tutorial instructions

  • To shut the cluster down, run

    docker-compose -p citus down
    

Talk to Contributors and Learn More

Documentation Try the Citus tutorials for a hands-on introduction or
the documentation for a more comprehensive reference.
Google Groups The Citus Google Group is our place for detailed questions and discussions.
IRC Talk with the Citus development team in realtime on the #citus Freenode channel.
Github Issues We track specific bug reports and feature requests on our project issues.
Twitter Follow @citusdata for general updates and PostgreSQL scaling tips.
Training and Support See our support page for training and dedicated support options.

Contributing

Citus is built on and of open source. We welcome your contributions, and have added a helpwanted label to issues which are accessible to new contributors. The CONTRIBUTING.md file explains how to get started developing the Citus extension itself and our code quality guidelines.

Who is Using Citus?

Citus is deployed in production by many customers, ranging from technology start-ups to large enterprises. Here are some examples:

  • CloudFlare uses Citus to provide real-time analytics on 100 TBs of data from over 4 million customer websites. Case Study
  • MixRank uses Citus to efficiently collect and analyze vast amounts of data to allow inside B2B sales teams to find new customers. Case Study
  • Neustar builds and maintains scalable ad-tech infrastructure that counts billions of events per day using Citus and HyperLogLog.
  • Agari uses Citus to secure more than 85 percent of U.S. consumer emails on two 6-8 TB clusters. Case Study
  • Heap uses Citus to run dynamic funnel, segmentation, and cohort queries across billions of users and tens of billions of events. Watch Video

Copyright © 20122016 Citus Data, Inc.