![]() Object or array cannot be found in the specified JSON path. Result: Msg 13624, Level 16, State 2, Line 1 JSON_VALUE('', 'strict $.Name') AS 'JSON_QUERY' Here’s an example to demonstrate the difference between these functions when trying to extract a scalar value. JSON_VALUE() returns a single text value of type nvarchar(4000).path mode: It is an optional, It can be specified with jsonpath, it can be either lax or strict. jsonpath is the path of the JSON string which specifies the path of JSON Object or the Array to extract in the jsonstring. jsonstring is the string that contains the JSON string. JSON_QUERY() returns a JSON fragment of type nvarchar(max) To extract scalar value you can use JSONVALUE function.Return ValuesĪnd one more difference is in their return values. So you must provide both arguments when using this function. ![]() However, the path argument is a required argument when using the JSON_VALUE() function. That’s because this function can return a whole JSON document if required. Those square brackets around the path argument mean that it’s an optional argument. Syntax DifferencesĪnother difference is in the syntax: JSON_QUERY ( expression ) One extracts an object or an array, the other extracts a scalar value. So the difference between these two functions is what they extract. JSON_VALUE() Extracts a scalar value from a JSON string. Here’s how the two functions are defined: JSON_QUERY() Extracts an object or an array from a JSON string. These two functions have slightly different definitions, a slightly different syntax, and their return values are slightly different. ![]() This article looks at the difference between JSON_QUERY() and JSON_VALUE(). There’s definitely a place for both functions when working with JSON and SQL Server. Their general syntax is similar, and at first glance, you might think they do exactly the same thing, but they don’t. This is useful if you are returning single row in the query. These functions can be used to extract data from JSON documents. WITHOUTARRAYWRAPPER option in FOR JSON clause will remove array brackets from the JSON output. INSERT INTO Person (id, name, surname, age, dateOfBirth) SELECT id, firstNAme, lastName, age, dateOfBirth FROM OPENJSON ( json ) WITH (id int, firstName nvarchar ( 50 ), lastName nvarchar ( 50 ), age int, dateOfBirth datetime2) So, this is a single command that directly. Try out JSON in scenarios where it may seem useful.Two of the many T-SQL functions available in SQL Server are JSON_QUERY() and JSON_VALUE(). Now, you can easily import these values in any table: SQL. ![]()
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