![]() Most apps get sharded across either users, time series data like events, or SAAS level objects like stores or organizations. Usually there is one table that contains the majority of data, or one table that associates to the majority of data. Sharding your dataĭepending on your application, you might have a clear main table to shard on other than users. ![]() and half of shard 16's data will be moved to shard 32. Half of shard 1's data will be moved to shard 17, half of shard 2's data will be moved to shard 18. Half the data on shard 12 would stay on 12, and the other half moves 16 shards over to shard 28. Here we convert the UUID into a number using to_i with a radix of 16 since the UUID is in base 16 (0-9 and a-f). Normally you see UUIDs represented as 16 bit strings like d4ff2862-e12e-4702-8ea7-c436b07f700f, but they can also be represented as 128 bits or as a number. The uniqueness of a UUID can also be used to determine which physical shard a record should live on.Ī UUID is a 128 bit number. You will never have a key conflict between your shards. UUIDs work great with horizontal sharding. Horizontal sharding with multiple write databases can use any number of small affordable databases to handle virtually any scale you throw at it, and I'll explain how you can implement it with Ruby on Rails 6.1 and PostgreSQL. ![]() You may also see your CPU, disk or network resources exhausted from too many writes. This does help, but with enough growth, you will eventually see your indexes run out of ram. Every rails app with enough growth will eventually hit the point where the database can no longer be vertically scaled.Ī common solution is to add one or more follower databases to alleviate stress caused by too many reads.
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