--- layout: doc_page --- ## Introduction Druid can use Cassandra as a deep storage mechanism. Segments and their metadata are stored in Cassandra in two tables: `index_storage` and `descriptor_storage`. Underneath the hood, the Cassandra integration leverages Astyanax. The index storage table is a [Chunked Object](https://github.com/Netflix/astyanax/wiki/Chunked-Object-Store) repository. It contains compressed segments for distribution to historical nodes. Since segments can be large, the Chunked Object storage allows the integration to multi-thread the write to Cassandra, and spreads the data across all the nodes in a cluster. The descriptor storage table is a normal C* table that stores the segment metadatak. ## Schema Below are the create statements for each: ```sql CREATE TABLE index_storage(key text, chunk text, value blob, PRIMARY KEY (key, chunk)) WITH COMPACT STORAGE; CREATE TABLE descriptor_storage(key varchar, lastModified timestamp, descriptor varchar, PRIMARY KEY (key)) WITH COMPACT STORAGE; ``` ## Getting Started First create the schema above. I use a new keyspace called `druid` for this purpose, which can be created using the [Cassandra CQL `CREATE KEYSPACE`](http://www.datastax.com/documentation/cql/3.1/cql/cql_reference/create_keyspace_r.html) command. Then, add the following to your historical and realtime runtime properties files to enable a Cassandra backend. ```properties druid.extensions.loadList=["druid-cassandra-storage"] druid.storage.type=c* druid.storage.host=localhost:9160 druid.storage.keyspace=druid ```