Wednesday, March 11, 2015

LINE Storage: Storing billions of rows in Sharded-Redis and HBase per Month

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In the beginning, we adopted Redis for LINE’s primary storage. LINE is targeted for an instant messenger quickly exchanging messages, and the scale had been assumed to at most total 1 million registered users within 2011. Redis is an in-memory data store and does its intended job well. Redis also enables us to take snapshots periodically on disk and supports sync/asynchronous master-slave replication. We decided that Redis was the best choice despite the scalability and availability issues caused by the in-memory data store. The entire LINE storage system started with just a single Redis cluster constructed from 3 nodes sharded on client-side.

The larger the scale of the service, the more nodes were needed, and client-side sharding prevented us from scaling effectively. The original Redis still doesn’t support server-side sharding. So far, we have achieved a sharded redis cluster to utilize our developed clustering manager. Our sharded redis cluster is coordinated by the cluster manager daemons and ZooKeeper quorum servers.

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