When to use full text index in JSON?
Full-text indexes can be used if JSON in your column is formatted as a simple array of scalar values. In the ideal case as array of numbers, but array of strings will also work in most of the cases. In this example I will use Sales.SalesOrder_json table that can be found in official AdventureWorks2016CTP3 database.
How are JSON values ordered in an index?
The result of the JSON_VALUE function that you use when you create the computed column is a text value that inherits its collation from the input expression. Therefore, values in the index are ordered using the collation rules defined in the source columns.
How are indexes over JSON data collation aware?
JSON indexes are collation-aware indexes. An important feature of indexes over JSON data is that the indexes are collation-aware. The result of the JSON_VALUE function that you use when you create the computed column is a text value that inherits its collation from the input expression.
What’s the maximum length of an index JSON?
The index ‘vCustomerName’ has maximum length of 8000 bytes. For some combination of large values, the insert/update operation will fail. The JSON_VALUE function might return text values up to 8000 bytes (for example, as the NVARCHAR (4000) type).
When to use full text search in SQL Server?
SQL Server enables you to analyze JSON arrays and use elements in queries. As an alternative, full text search can be used to find arrays that contains some value since JSON is a plain text that can be indexed. Full-text indexes can be used if JSON in your column is formatted as a simple array of scalar values.
How to index JSON arrays in SQL Server?
In the database are stored arrays of JSON values e.g. [“Manufacturer”,”Quality\\ and query needs to find all rows where array contains some value (e.g. “Manufacturer”). SQL Server enables you to analyze JSON arrays and use elements in queries.