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Facebook has one of the largest MySQL database clusters in the world. This cluster comprises many thousands of servers across multiple data centers on two continents.
Operating a cluster of this size with a small team is achieved by automating nearly everything a conventional MySQL Database Administrator (DBA) might do so that the cluster can almost run itself. One of the core components of this automation is a system we call MPS, short for “MySQL Pool Scanner.”
MPS is a sophisticated state machine written mostly in Python. It replaces a DBA for many routine tasks and enables us to perform maintenance operations in bulk with little or no human intervention.
A closer look at a single database node
Every one of the thousands of database servers we have can house a certain number of MySQL instances. An instance is a separate MySQL process, listening on a separate port with its own data set. For simplicity, we'll assume exactly two instances per server in our diagrams and examples.
The entire data set is split into thousands of shards, and every instance holds a group of such shards, each in its own database schema. A Facebook user's profile is assigned to a shard when the profile is created and every shard holds data relating to thousands of users.
It’s more easily explained by a diagram of a single database server:
Septimius Paul Tompa
tsepty [at] linux.com