apache / cassandra
Apache Cassandra®
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing apache/cassandra in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Summary (README)
Previewimage:https://img.shields.io/badge/License-Apache%202.0-blue.svg[License, link=https://github.com/apache/cassandra/blob/trunk/LICENSE.txt] image:https://ci-cassandra.apache.org/job/Cassandra-trunk/badge/icon[Build Status, link=https://ci-cassandra.apache.org/job/Cassandra-trunk/] image:https://img.shields.io/badge/Official-Downloads-brightgreen[Official Downloads, link=https://cassandra.apache.org/$$_$$/download.html] image:https://img.shields.io/docker/pulls/$$_$$/cassandra[Docker Pulls, link=https://hub.docker.com/r/$$_$$/cassandra] image:https://img.shields.io/badge/Slack-4A154B?style=flat&logo=slack&logoColor=white[Slack, link=https://infra.apache.org/slack.html] image:https://img.shields.io/badge/Bluesky-0285FF?logo=bluesky&logoColor=fff&color=0285FF[Bluesky, link=https://bsky.app/profile/cassandra.apache.org] image:https://img.shields.io/badge/-LinkedIn-blue?style=flat-square&logo=Linkedin&logoColor=white&link=https://www.linkedin.com/company/apache-cassandra/[LinkedIn, link=https://www.linkedin.com/company/apache-cassandra/] image:https://img.shields.io/badge/YouTube-FF0000?style=flat&logo=youtube&logoColor=white[Youtube, link=https://www.youtube.com/c/PlanetCassandra]
Apache Cassandra
Apache Cassandra is a highly-scalable partitioned row store. Rows are organized into tables with a required primary key.
https://cwiki.apache.org/confluence/display/CASSANDRA2/Partitioners[Partitioning] means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster.
https://cwiki.apache.org/confluence/display/CASSANDRA2/DataModel[Row store] means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
For more information, see https://cassandra.apache.org/[the Apache Cassandra web site].
Issues should be reported on https://issues.apache.org/jira/projects/CASSANDRA/issues/[The Cassandra Jira].
Requirements
- Java: see supported versions in build.xml (search for property "java.supported").
- Python: for
cqlsh, seebin/cqlsh(search for function "is_supported_version").
Getting started
This short guide will walk you through getting a basic one node cluster up and running, and demonstrate some simple reads and writes. For a more-complete guide, please see the Apache Cassandra website's https://cassandra.apache.org/doc/trunk/cassandra/getting-started/index.html[Getting Started Guide].
First, we'll unpack our archive:
$ tar -zxvf apache-cassandra-$VERSION.tar.gz $ cd apache-cassandra-$VERSION
After that we start the server. Running the startup script with the -f argument will cause Cassandra to remain in the foreground and log to standard out; it can be stopped with ctrl-C.
$ bin/cassandra -f
Now let's try to read and write some data using the Cassandra Query Language:
$ bin/cqlsh
The command line client is interactive so if everything worked you should be sitting in front of a prompt:
Connected to Test Cluster at localhost:9160. [cqlsh 6.3.0 | Cassandra 5.0-SNAPSHOT | CQL spec 3.4.8 | Native protocol v5] Use HELP for help. cqlsh>
As the banner says, you can use 'help;' or '?' to see what CQL has to offer, and 'quit;' or 'exit;' when you've had enough fun. But lets try something slightly more interesting:
cqlsh> CREATE KEYSPACE schema1 WITH replication = { 'class' : 'SimpleStrategy', 'replication_factor' : 1 }; cqlsh> USE schema1; cqlsh:Schema1> CREATE TABLE users ( user_id varchar PRIMARY KEY, first varchar, last varchar, age int ); cqlsh:Schema1> INSERT INTO users (user_id, first, last, age) VALUES ('jsmith', 'John', 'Smith', 42); cqlsh:Schema1> SELECT * FROM users; user_id | age | first | last ---------+-----+-------+------- jsmith | 42 | john | smith cqlsh:Schema1>
If your session looks similar to what's above, congrats, your single node cluster is operational!
For more on what commands are supported by CQL, see https://cassandra.apache.org/doc/trunk/cassandra/developing/cql/index.html[the CQL reference]. A reasonable way to think of it is as, "SQL minus joins and subqueries, plus collections."
Wondering where to go from here?
- Join us in #cassandra on the https://s.apache.org/slack-invite[ASF Slack] and ask questions.
- Subscribe to the Users mailing list by sending a mail to user-subscribe@cassandra.apache.org.
- Subscribe to the Developer mailing list by sending a mail to dev-subscribe@cassandra.apache.org.
- Visit the https://cassandra.apache.org/community/[community section] of the Cassandra website for more information on getting involved.
- Visit the https://cassandra.apache.org/doc/latest/development/index.html[development section] of the Cassandra website for more information on how to contribute.