Learn more about MySQL data sharding — including what it is, specific sharding techniques, pros and cons of using sharding, and more.
MySQL Data Sharding: What Is it?
As data increases in MySQL, it’s not uncommon for schema performance to deteriorate. This deterioration is caused by:
Sharding can be used to overcome these challenges. Data sharding is a technique where data is split into mutually exclusive segments, which is achieved by splitting tables into horizontal chunks. In a distributed environment, these chunks can be placed on partitions — and then nodes — which would balance the throughput.
MySQL Data Sharding: What Are the Sharding Techniques?
Before we discuss practical steps for sharding, let’s briefly take a look at different types of sharding:
In MySQL, sharding can be achieved with the following steps:
MySQL Data Sharding: What Are the Pros & Cons?
The follow are pros for MySQL data sharding:
There are some instances where MySQL data sharding is not the best approach, and only presents further challenges:
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