SQL Server 2016 lets you treat JSON objects like rows in a table, allowing you to use data from AJAX queries in joins, updates and any other SQL statement you can think of. SQL Server 2016 provides ...

It is also useful if you are running SQL statements from an SQL application in another SQL-based database. The second form uses a LIKE clause to create a table that has the same column names and ...

These columns can be used to store schema-less arbitrary JSON according to application needs. You can use the ExecuteCosmosSQLQuery message to run any Cosmos SQL query directly against your elastic ...

In SQL Server 2016, you can combine both scalar columns (FirstName and LastName in this example) and columns that contain JSON (InfoJSON in this example). In SQL Server, you can organize your data as ...

As I noted in an earlier column, JSON is great for moving data around but not so hot when you need to convert it into data stored in a relational database.In that earlier column, I looked at why you ...

To be compatible with MySQL 5.7 or later and better support the document store, TiDB supports JSON in the latest version. In TiDB, a document is a set of Key-Value pairs, encoded as a JSON object. You ...

In this example, Transact-SQL will create a new table with all columns from the rows in "old_table" in which the last name starts with "Ja." Advertisement. Article continues below this ad.