As of MySQL 5.7, JSON has been a natively supported data type. Luckily, with MySQL 5.7 that all changed. It can be stored inefficiently, with a lot of overhead. MySQL, and particularly InnoDB, are not great at storing and manipulating blob data. For a long time, developers stored JSON in blobs in MySQL, and either manipulated it in the application or used see compiled functions or stored procedures to manipulate it. However, as you will see, most databases go well beyond this. It's enough for JSON to be stored as a blob, and manipulated with functions. JSON is becoming natively supported as a datatype, with functions and operators and all of the decoration that goes along with it.įor the purposes of this article, we don’t insist upon JSON being a natively supported data type distinct from other datatypes. But the level of JSON support we see in databases today exceeds that. After all, all you have to do is store a blob of text correctly formatted in the database, and applications can store, retrieve, and manipulate it as usual. You could easily argue JSON support has been in databases for a long time. (The king is dead, long live the king!) But how good is JSON support in the databases we know and love? We’ll do a comparison in this blog post.įirst – what does it even mean for a database to support JSON? ![]() JSON adoption among developers is nearly universal today, however. Most major databases supported XML in some fashion for a while, too, but developer uptake wasn’t universal. Due to its use in the web front-end, JSON has overtaken XML in APIs, and it’s spread through all the layers in the stack one step at a time. ![]() If you've been watching the evolution of database technologies over the past few years, you've seen how quickly JSON has quickly cemented its position in major database servers.
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