To remove the quote marks, you use the inline path operator ( ->) as follows: SELECT id, browser-> '$.name' browserĪs you can see in the following output, the quote marks were removed: + -+-+ Notice that data in the browser column is surrounded by quote marks. This query returns the following output: + -+-+ To pull values out of the JSON columns, you use the column path operator ( ->). Let’s insert some data into the events table: INSERT INTO events(event_name, visitor,properties, browser) They are used to store properties of an event and specification of the browser that visitors use to browse the website. The properties and browser columns are the JSON columns. An event also has a name e.g., pageview, purchase, etc., The visitor column is used to store the visitor information. CREATE TABLE events(Įach event in the events table has an id that uniquely identifies the event. To store this information, we will create a new table called events. Some visitors may just view the pages and other may view the pages and buy the products. Suppose, we have to track the visitors and their actions on our website. When you query data from the JSON column, the MySQL optimizer will look for compatible indexes on virtual columns that match JSON expressions. Instead, you can create an index on a generated column that contains values extracted from the JSON column. In addition, a JSON column cannot be indexed directly. Notice that a JSON column cannot have a default value. To define a column whose data type is JSON, you use the following syntax: CREATE TABLE table_name (Ĭode language: SQL (Structured Query Language) ( sql ) The storage of a JSON document is approximately the same as the storage of LONGBLOB or LONGTEXT data. The JSON binary format is structured in the way that permits the server to search for values within the JSON document directly by key or array index, which is very fast. MySQL stores JSON documents in an internal format that allows quick read access to document elements. The native JSON data type allows you to store JSON documents more efficiently than the JSON text format in the previous versions. MySQL supports the native JSON data type since version 5.7.8. Summary: in this tutorial, you will learn how to use MySQL JSON data type to store JSON documents in the database.
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