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Applies to:
SQL Server 2016 (13.x) and later
Azure SQL Database
Azure SQL Managed Instance
Azure Synapse Analytics (serverless SQL pool only)
Use OPENJSON with an explicit schema to return a table that's formatted as you specify in the WITH clause.
Here are some examples that use OPENJSON with an explicit schema. For more info and more examples, see OPENJSON (Transact-SQL).
The following query returns the results shown in the following table. Notice how the AS JSON clause causes values to be returned as JSON objects instead of scalar values in col5 and array_element.
DECLARE @json NVARCHAR(MAX) =
N'{"someObject":
{"someArray":
[
{"k1": 11, "k2": null, "k3": "text"},
{"k1": 21, "k2": "text2", "k4": { "data": "text4" }},
{"k1": 31, "k2": 32},
{"k1": 41, "k2": null, "k4": { "data": false }}
]
}
}'
SELECT * FROM
OPENJSON(@json, N'lax $.someObject.someArray')
WITH ( k1 int,
k2 varchar(100),
col3 varchar(6) N'$.k3',
col4 varchar(10) N'lax $.k4.data',
col5 nvarchar(MAX) N'lax $.k4' AS JSON,
array_element nvarchar(MAX) N'$' AS JSON
)
Results
k1 | k2 | col3 | col4 | col5 | array_element |
---|---|---|---|---|---|
11 | NULL | "text" | NULL | NULL | {"k1": 11, "k2": null, "k3": "text"} |
21 | "text2" | NULL | "text4" | { "data": "text4" } | {"k1": true, "k2": "text2", "k4": { "data": "text4" } } |
31 | "32" | NULL | NULL | NULL | {"k1": 31, "k2": 32 } |
41 | NULL | NULL | false | { "data": false } | {"k1": 41, "k2": null, "k4": { "data": false } } |
The following example loads an entire JSON object into a SQL Server table.
DECLARE @json NVARCHAR(MAX) = '{
"id" : 2,
"firstName": "John",
"lastName": "Smith",
"isAlive": true,
"age": 25,
"dateOfBirth": "2015-03-25T12:00:00",
"spouse": null
}';
INSERT INTO Person
SELECT *
FROM OPENJSON(@json)
WITH (id int,
firstName nvarchar(50), lastName nvarchar(50),
isAlive bit, age int,
dateOfBirth datetime2, spouse nvarchar(50))
For a visual introduction to the built-in JSON support in SQL Server and Azure SQL Database, see the following videos:
Events
Mar 31, 11 PM - Apr 2, 11 PM
The biggest SQL, Fabric and Power BI learning event. March 31 – April 2. Use code FABINSIDER to save $400.
Register today