How to import/export JSON data using SQL Server 2016 (2022)

JSON is an abbreviation for JavaScript Object Notation. JSON is very popular and currently the most commonly used data exchange format. Most modern web and mobile services return information formatted as JSON text, all database web services, web browsers (Firefox, Internet Explorer) return results formatted as JSON text or accept data formatted as JSON. Since external systems format information as JSON text, JSON is also stored in SQL Server 2016 as text. You can use standard NVARCHAR columns to store JSON data in SQL Server 2016.

This article will explain how to import JSON data into SQL Server 2016 table and how to export data from SQL Server 2016 table as JSON using SQL Server 2016 built-in functions.

With SQL Server 2016, built-in functions can parse JSON text to read or modify JSON values, transform JSON array of objects into table format, any Transact -SQL query can be run over the converted JSON objects, results of Transact-SQL queries can be formatted into JSON format.

How to import/export JSON data using SQL Server 2016 (1)

So, let’s start. Below is a simple example of JSON:

{
  ”BusinessEntityID”:1,
  ”NationalIDNumber”:”295847284″,
  ”JobTitle”:”Chief Executive Officer”,
  ”BirthDate”:”1969-01-29″,
  ”Gender”:”M”
}

More information about structure of the JSON can be found on this link.

Let’s declare a SQL Server variable and put JSON code in it.

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

One of the built-in JASON functions that are implemented in SQL Server 2016 is ISJSON.

The ISJSON function verifies if it is the code in @json variable formatted as JSON. If the code in the @json variable, formats correctly the output value in the Results grid, 1 will appear:

How to import/export JSON data using SQL Server 2016 (2)

Otherwise, the output value in the Results grid will be 0. For example, if the open curly bracket is omitted from the example above, the result will be:

How to import/export JSON data using SQL Server 2016 (3)

To convert the JSON text into a set of rows and columns, the OPENJSON function is used.

Syntax of the OPENJSON function that transforms JSON text to row and columns looks like:

OPENJSON (<json text>)
WITH (<column/type>)

In the WITH clause, the schema of returned rows with name of columns and their types is defined. The OPENJSON function will parse JSON object, match properties in JSON object with column names in the WITH clause and convert their values to specified types.

In the example below, it is shown how to convert JSON text to set of rows and columns:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

SELECT * FROM OPENJSON(@json)

WITH (BusinessEntityID int,

NationalIDNumber int,

JobTitle varchar(100),

BirthDate varchar(200),

Gender varchar(2)

)

The result will look like:

BusinessEntityID NationalIDNumber JobTitle BirthDate Gender
1 295847284 Chief Executive Officer 1969-01-29 M

If the SELECT statement without a WITH clause is executed:

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DECLARE @json varchar(max)='

{

(Video) How to Import JSON File Into SQL Server Database Using T-SQL (For Beginners)

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

SELECT * FROM OPENJSON(@json)

The following result will appear:

key value type
BusinessEntityID 1 2
NationalIDNumber 295847284 1
JobTitle Chief Executive Officer 1
BirthDate 1969-01-29 1
Gender M 1
  1. key column contains the name of the property
  2. value column contains the value of the property
  3. type column contains the data type of the value

The type column has six values for the data types:

value data type
0 null
1 string
2 int
3 true/false
4 array
5 object

To extract a scalar value from the JSON text and use it in the Transact-SQL queries, use the JSON_VALUE function. Let’s access to a value of the BusinessEntityID property from the @jason variable and use it in the WHERE clause to return some values from the Person.Person table in the AdventureWorks 2014 database. Paste and execute the following code:

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USE AdventureWorks2014

DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

SELECT FirstName, LastName FROM Person.Person

WHEREBusinessEntityID = JSON_VALUE(@json, '$.BusinessEntityID')

The results will look like:

FirstName LastName
Ken Sánchez

A Dollar sign $ is used to reference (access) of the properties, objects in JSON text. If it is omitted from the query:

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USE AdventureWorks2014

DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

SELECT FirstName, LastName FROM Person.Person

WHEREBusinessEntityID = JSON_VALUE(@json, 'BusinessEntityID')

The following error may occur:

Msg 13607, Level 16, State 3, Line 14
JSON path is not properly formatted. Unexpected character ‘B’ is found at position 0.

To extract an array or an object from a JSON text use the JSON_QUERY function. Let’s execute the query that contain JSON_QUERY function:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

(Video) Import JSON from SQL Server 2016 to MongoDB

}

';

SELECT JSON_QUERY(@json, '$.BusinessEntityID')

The result will be:

(No column name)
NULL

The NULL value is returned because the JSON_QUERY function works with arrays and objects not with scalar values. To see the error message instead of the NULL value, type the word strict before dollar sign:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M"

}

';

SELECT JSON_QUERY(@json, 'strict $.BusinessEntityID')

When the code above is executed, the following error message will appear:

Msg 13624, Level 16, State 1, Line 12
Object or array cannot be found in the specified JSON path.

Let’s add the Contact object in the @json variable and use the JSON_QUERY function:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M",

"Contact":{"Home":"036/222-333","Mob":"064/3376222"}

}

';

SELECT JSON_QUERY(@json, '$.Contact')

The following results will appear:

(No column name)
{“Home”:”036/222-333″,”Mob”:”064/3376222″}

Storing JSON Data in SQL Server 2016

Inserting data into some SQL Server table using data from @json is the same as regular T-SQL. Execute the following code:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M",

"Contact":{"Home":"036/222-333","Mob":"064/3376222"}

}

';

(Video) Import JSON data into SQL Server

SELECT * INTO Person

FROM OPENJSON(@json)

WITH (BusinessEntityID int,

NationalIDNumber int,

JobTitle varchar(100),

BirthDate varchar(200),

Gender varchar(2),

Contact varchar(max)

)

The following results will appear:

BusinessEntityID NationalIDNumber JobTitle BirthDate Gender Contact
1 295847284 Chief Executive Officer 1969-01-29 M NULL

As you can see, the Contact column in the Person table have NULL value instead of {“Home”:”036/222-333″,”Mob”:”064/3376222″}.

To insert values from the Contact object in the @json variable into the Contact column under the Person table, the AS JSON clause must be used. Let’s put this clause into a code and execute:

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DECLARE @json varchar(max)='

{

"BusinessEntityID":1,

"NationalIDNumber":"295847284",

"JobTitle":"Chief Executive Officer",

"BirthDate":"1969-01-29",

"Gender":"M",

"Contact":{"Home":"036/222-333","Mob":"064/3376222"}

}

';

SELECT * INTO Person

FROM OPENJSON(@json)

WITH (BusinessEntityID int,

NationalIDNumber int,

JobTitle varchar(100),

BirthDate varchar(200),

Gender varchar(2),

Contact varchar(max) AS JSON

)

But this time an error message will appear:

Msg 13618, Level 16, State 1, Line 30
AS JSON option can be specified only for column of nvarchar(max) type in WITH clause.

As the message says AS JASON option supports only nvarchar(max) data type. Let’s change data type for Contact column and execute the query again. After changing the data type of the Contact column from varchar(max) to nvarchar(max) and executing it, the following results will appear:

BusinessEntityID NationalIDNumber JobTitle BirthDate Gender Contact
1 295847284 Chief Executive Officer 1969-01-29 M {“Home”:”036/222-333″,”Mob”:”064/3376222″}

Exporting SQL Server 2016 data as JSON

To format/export query results as JSON, use the FOR JSON clause with the PATH or AUTO mode. When export query results to JSON, one of the mode must be used with the FOR JSON clause, otherwise the following error will occur:

Msg 102, Level 15, State 1, Line 7
Incorrect syntax near ‘JSON’.

The main difference between the PATH and AUTO mode is that, with the PATH mode, a user has a full control over the way of how to format the JSON output while with the AUTO mode the FOR JSON clause will automatically format the JSON output based on the structure of the SELECT statement.

PATH mode

Let’s use a simple example to demonstrate what the PATH mode with FOR JSON clause can do. In this example the Pesron.Person table is used from the AdventureWorks 2014 database. In a query editor, the following code should be pasted and executed:

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SELECT TOP 3

BusinessEntityID,

FirstName,

LastName,

Title,

MiddleName

FROM Person.Person

FOR JSON PATH

The JSON output will be:

[
  {
     “BusinessEntityID”:1,
     “FirstName”:”Ken”,
     “LastName”:”Sánchez”,
     “MiddleName”:”J”
  },
   {
     “BusinessEntityID”:2,
     “FirstName”:”Terri”,
     “LastName”:”Duffy”,
     “MiddleName”:”Lee”
   },
   {
     “BusinessEntityID”:3,
     “FirstName”:”Roberto”,
     “LastName”:”Tamburello”
  }
]

If you notice, the “Title” and in some sections the “MiddleName”properties don’t appear in the JSON output. This is because the “MiddleName” and “Title” contain null values. By default, null values are not included in the JSON output. In order to included null values from the query results into the JSON output use the INCLUDE_NULL_VALUES option.

Let’s include INCLUDE_NULL_VALUES option in an example and execute the query:

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(Video) How to import nested JSON object (JSON data file) in Microsoft SQL Server

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SELECT TOP 3

BusinessEntityID,

FirstName,

LastName,

Title,

MiddleName

FROM Person.Person

FOR JSON PATH, INCLUDE_NULL_VALUES

The result will be:

[
   {
     “BusinessEntityID”:1,
     “FirstName”:”Ken”,
     “LastName”:”Sánchez”,
     “Title”:null,
     “MiddleName”:”J”
   },
   {
     “BusinessEntityID”:2,
     “FirstName”:”Terri”,
     “LastName”:”Duffy”,
     “Title”:null,
     “MiddleName”:”Lee”
   },
   {
     “BusinessEntityID”:3,
     “FirstName”:”Roberto”,
     “LastName”:”Tamburello”,
     “Title”:null,
     “MiddleName”:null
  }
]

With the PATH mode, the dot syntax can be used, for example ‘Item.Title’ to format nested JSON output. For example, let’s add aliases for the Title and MiddleName columns:

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SELECT TOP 3

BusinessEntityID,

FirstName,

LastName,

Title AS 'Item.Title',

MiddleName AS 'Item.MiddleName'

FROM Person.Person

FOR JSON PATH, INCLUDE_NULL_VALUES

The JSON output will be:

[
   {
     “BusinessEntityID”:1,
     “FirstName”:”Ken”,
     “LastName”:”Sánchez”,
     “Item”:{
       “Title”:null,
       “MiddleName “:”J”
     }
   },
   {
     “BusinessEntityID”:2,
     “FirstName”:”Terri”,
     “LastName”:”Duffy”,
     “Item”:{
       “Title”:null,
       “MiddleName “:”Lee”
     }
   },
   {
     “BusinessEntityID”:3,
     “FirstName”:”Roberto”,
     “LastName”:”Tamburello”,
     “Item”:{
       “Title”:null,
       “MiddleName”:null
     }
   }
]

As you can see, the JSON output now contains the “Item” object and the “Title” and “MiddleName” properties inside it.

AUTO mode

AUTO mode will automatically generate the JSON output based on the order of columns in the SELECT statement.

For example, if we use the previously example and instead of the PATH put the AUTO mode after FOR JSON clause

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SELECT TOP 3

BusinessEntityID,

FirstName,

LastName,

Title AS 'Item.Title',

MiddleName AS 'Item.MiddleName'

FROM Person.Person

FOR JSON AUTO, INCLUDE_NULL_VALUES

The result will be:

[
   {
     “BusinessEntityID”:1,
     “FirstName”:”Ken”,
     “LastName”:”Sánchez”,
     “Item.Title”:null,
     “Item.MiddleName”:”J”
   },
   {
     “BusinessEntityID”:2,
     “FirstName”:”Terri”,
     “LastName”:”Duffy”,
     “Item.Title”:null,
     “Item.MiddleName”:”Lee”
   },
   {
     “BusinessEntityID”:3,
     “FirstName”:”Roberto”,
     “LastName”:”Tamburello”,
     “Item.Title”:null,
     “Item.MiddleName”:null
   }
]

AUTO mode in this case when is used will have the results from one table which will not create the nested JSON output and the dot separator will be treated as the key with dots. But when two tables are joined, the columns from the first table will be treated as the properties of the root object and the columns from the second table will be treated as the properties of a nested object. A table name or alias of the second table will be used as a name of the nested array:

When the following query is executed:

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SELECT st.TerritoryID, st.Name AS Territory,s.NameFROM Sales.SalesTerritory st

INNER JOIN Sales.Customer c ON st.TerritoryID = c.TerritoryID

INNER JOIN Sales.Store s ON c.StoreID = s.BusinessEntityID

WHERE st.TerritoryID=2 AND s.Name LIKE 'W%'

FOR JSON AUTO

The result will be:

[
   {
     “TerritoryID”:2,
     “Territory”:”Northeast”,
     “s”:[
        {
          “Name”:”Wholesale Bikes”
        },
        {
          “Name”:”Wheelsets Storehouse”
        },
        {
          “Name”:”Weekend Tours”
        },
        {
          “Name”:”Wholesale Bikes”
        },
        {
          “Name”:”Weekend Tours”
        },
        {
          “Name”:”Wheelsets Storehouse”
        }
     ]
  }
]

See also:


  • Author
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Marko Zivkovic

Marko aka “Zivko” is a senior software analyst from Nis, Serbia focusing on SQL Server and MySQL as well as client technologies like SSMS, Visual Studio, and VSCode. He has extensive experience with quality assurance, issue escalation/resolution, and product evangelism.

He is a prolific author of authoritative content related to SQL Server including a number of “platinum” articles (top 1% in terms of popularity and engagement). His writing covers a range of topics on MySQL and SQL Server including remote/linked servers, import/export, LocalDB, SSMS, and more.

In his part-time, Zivko likes basketball, foosball (table-soccer), and rock music.

See more about Marko at LinkedIn

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(Video) JSON and SQL Tutorial - Convert a table to JSON and JSON to table

FAQs

Does SQL Server 2016 support JSON? ›

Now, SQL Server also supports the JSON format. There is no specific data type for JSON SQL Server like XML. We need to use NVARCHAR when we interact with JSON. There are many built-in functions available with SQL Server 2016, such as ISJSON, JSON_VALUE, JSON_QUERY, JSON_MODIFY, OPENJSON, and FOR JSON.

How do I export and import data from SQL Server? ›

Start the SQL Server Import and Export Wizard from SQL Server Management Studio (SSMS)
  1. In SQL Server Management Studio, connect to an instance of the SQL Server Database Engine.
  2. Expand Databases.
  3. Right-click a database.
  4. Point to Tasks.
  5. Click one of the following options. Import Data. Export Data.
28 Jan 2022

How do I store and retrieve JSON data in SQL Server? ›

There are two available options:
  1. LOB storage - JSON documents can be stored as-is in NVARCHAR columns. ...
  2. Relational storage - JSON documents can be parsed while they are inserted in the table using OPENJSON , JSON_VALUE or JSON_QUERY functions.
21 Apr 2022

How do I import a JSON file? ›

To import a JSON file in Node. js:
  1. Make sure you are running Node. js version 17.5 or more recent.
  2. Make sure the type property in your package. json file is set to module .
  3. Use an import assertion to import the JSON file.
  4. For example, import myJson from './example. json' assert {type: 'json'} .
10 Aug 2022

Can SQL Server read JSON file? ›

Import a JSON document into a single column

OPENROWSET(BULK) is a table-valued function that can read data from any file on the local drive or network, if SQL Server has read access to that location. It returns a table with a single column that contains the contents of the file.

How extract JSON data in SQL Server? ›

How to extract values from a nested JSON field in SQL
  1. Postgres. Use the ->> operator to extract a value as text, and the -> to extract a JSON object: select my_json_field ->> 'userId', my_json_field -> 'transaction' ->> 'id', my_json_field -> 'transaction' ->> 'sku' from my_table;
  2. Redshift. ...
  3. MySQL.

How do I export data from SQL Server in JSON format? ›

How to export SQL Server data to JSON
  1. In Object Explorer, right-click a database, point to Data Pump, and then click Export Data.
  2. On the Export format page, select the JSON export format or load export options from a template file if you saved it previously.

How do I query a JSON file in SQL? ›

Querying JSON in SQL Server
  1. First – Add JSON data to a table.
  2. Get a single value with JSON_VALUE()
  3. Get a JSON object with JSON_QUERY()
  4. Filter rows based on values in the JSON – JSON_VALUE() in the WHERE clause.
  5. Add a computed column so the client code doesn't have to call JSON_VALUE() Add an index on the computed column.
9 Dec 2020

What is export data in SQL Server? ›

Overview. SQL Server Management Studio (SSMS) provides the Export Wizard task which you can use to copy data from one data source to another. You can choose from a variety of source and destination data source types, select tables to copy or specify your own query to extract data, and save your work as an SSIS package.

How do you import data into SQL? ›

Open SQL Server Management Studio. Connect to an instance of the SQL Server Database Engine or localhost. Expand Databases, right-click a database (test in the example below), point to Tasks, and click Import Flat File above Import Data.

How do I transfer data from one SQL Server server to another? ›

  1. Right click on the source database you want to copy from.
  2. Select Tasks - Export Data.
  3. Select Sql Server Native Client in the data source.
  4. Select your authentication type (Sql Server or Windows authentication).
  5. Select the source database.
  6. Next, choose the Destination: Sql Server Native Client.
13 Jun 2012

Which data type of SQL is used to store a JSON data? ›

JSON documents can be stored as-is in NVARCHAR columns either in LOB storage format or Relational storage format. Raw JSON documents have to be parsed, and they may contain Non-English text. By using nvarchar(max) data type, we can store JSON documents with a max capacity of 2 GB in size.

How do I deserialize JSON in SQL Server? ›

OPENJSON is a table-valued function that helps to parse JSON in SQL Server and it returns the data values and types of the JSON text in a table format. Now, we will look at the syntax of this function.
...
OPENJSON() function parses JSON in SQL Server.
Type columnJSON data type
1string
2int
3true/false
4array
2 more rows
15 Sept 2020

Can we store JSON data in MySQL? ›

MySQL supports a native JSON data type defined by RFC 7159 that enables efficient access to data in JSON (JavaScript Object Notation) documents. The JSON data type provides these advantages over storing JSON-format strings in a string column: Automatic validation of JSON documents stored in JSON columns.

How read JSON data and insert it into database? ›

How to Read JSON Data and Insert it into a Database
  1. Example JSON File. Create a New Project. ...
  2. Read JSON Task. On the Read JSON task, specify values for the File attribute: ...
  3. Read JSON Task Attributes. ...
  4. Add New RowSet. ...
  5. RowSet Element Variable Name. ...
  6. Add Column. ...
  7. Column Element Attributes. ...
  8. Example JSON File Array.

How do I convert JSON to CSV? ›

Convert JSON to CSV - Here's how:
  1. 1 Upload your JSON file. Browse your computer for a JSON document you wish to convert into a CSV file. ...
  2. 2 Convert JSON to CSV file. Once uploaded, your JSON file will automatically start converting your data to the new format. ...
  3. 3 Save your file or send to your email.

What is JSON load? ›

json. load() takes a file object and returns the json object. A JSON object contains data in the form of key/value pair. The keys are strings and the values are the JSON types. Keys and values are separated by a colon.

What is the query with used for to see JSON format? ›

Use the FOR JSON clause to simplify client applications by delegating the formatting of JSON output from the app to SQL Server. Azure Data Studio is the recommended query editor for JSON queries because it auto-formats the JSON results (as seen in this article) instead of displaying a flat string.

How do I import JSON into Excel? ›

File: JSON
  1. Select Data > Get Data > From File > From JSON. The Import Data dialog box appears.
  2. Locate the JSON file, and then select Open.

How pass JSON data to stored procedure in mysql? ›

-- Stored procedure to insert post and tags DROP PROCEDURE IF EXISTS insert_post; DELIMITER $$ CREATE PROCEDURE insert_post( IN my_data JSON ) BEGIN -- Declare iterator variable to use it later on in the loop DECLARE i INT DEFAULT 0; -- Retrieve values from JSON SET @title = JSON_UNQUOTE(JSON_EXTRACT(my_data, '$.

How can I get specific data from JSON? ›

Getting a specific property from a JSON response object

Instead, you select the exact property you want and pull that out through dot notation. The dot ( . ) after response (the name of the JSON payload, as defined arbitrarily in the jQuery AJAX function) is how you access the values you want from the JSON object.

How do I extract value from JSON? ›

To extract the name and projects properties from the JSON string, use the json_extract function as in the following example. The json_extract function takes the column containing the JSON string, and searches it using a JSONPath -like expression with the dot . notation. JSONPath performs a simple tree traversal.

What is JSON extract? ›

JSON_EXTRACT. Extracts a JSON value, such as an array or object, or a JSON scalar value, such as a string, number, or boolean. JSON-formatted STRING or JSON. JSON_EXTRACT_SCALAR. Extracts a scalar value.

Does SQL Server 2014 support JSON? ›

SQL Server 2014 does not support JSON, so you can use NVARCHAR(MAX) column to store JSON data. You will not be able to use any of the JSON T-SQL extensions.

Can SSIS create JSON file? ›

JSON Destination Component is SSIS Data Flow Component for generating JSON documents that supports multiple inputs via the composite records pattern. The generated JSON document is a JSON array. For each row of the main input a JSON element will be created.

How do I export a JSON file in after effects? ›

JSON Exporting in After Effects - YouTube

What is JSON query? ›

JSON query language (JAQL) is any software suite that is used in conjunction with databases for querying, parsing or even forming Javascript Object Notion (JSON)-based documents.

What is JSON full form? ›

JavaScript Object Notation (JSON) is a standard text-based format for representing structured data based on JavaScript object syntax.

How do I read a JSON file in Sparksql? ›

This conversion can be done using SQLContext. read. json() on either an RDD of String or a JSON file. Spark SQL provides an option for querying JSON data along with auto-capturing of JSON schemas for both reading and writing data.

Can I use JSON as database? ›

JSON document databases are a good solution for online profiles in which different users provide different types of information. Using a JSON document database, you can store each user's profile efficiently by storing only the attributes that are specific to each user.

Can we store JSON data in MySQL? ›

MySQL supports a native JSON data type defined by RFC 7159 that enables efficient access to data in JSON (JavaScript Object Notation) documents. The JSON data type provides these advantages over storing JSON-format strings in a string column: Automatic validation of JSON documents stored in JSON columns.

How do I export SQL data from JSON format? ›

How to export SQL Server data to JSON
  1. In Object Explorer, right-click a database, point to Data Pump, and then click Export Data.
  2. On the Export format page, select the JSON export format or load export options from a template file if you saved it previously.

How pass JSON data to stored procedure in MySQL? ›

-- Stored procedure to insert post and tags DROP PROCEDURE IF EXISTS insert_post; DELIMITER $$ CREATE PROCEDURE insert_post( IN my_data JSON ) BEGIN -- Declare iterator variable to use it later on in the loop DECLARE i INT DEFAULT 0; -- Retrieve values from JSON SET @title = JSON_UNQUOTE(JSON_EXTRACT(my_data, '$.

How do I save a JSON file into a database? ›

Actually you can declare the column type as NVARCHAR(MAX), and save the json string into it.
...
  1. Id [Primary Key, Integer, Incrementing index]
  2. UserId [a Foreign Key to what this relates to - probably not 'user' in your case!]
  3. Value [nvarchar(1000) contains the json as a string]
10 Jun 2020

What database uses JSON? ›

MongoDB is the most popular document database used by companies like Google, Facebook, and Forbes. MongoDB stores data in a binary encoded JSON format (BSON) to offer better data types support, improved indexing and querying.

Is JSON good to store data? ›

JSON is perfect for storing temporary data that's consumed by the entity that creates the data. A good example is user-generated data such as filling out a form or information exchange between an API and an app.

How do I access JSON in MySQL? ›

For a JSON object, the path is specified with $. key , where the key is a key of the object.
...
Key takeaway for extracting data from a JSON field in MySQL:
  1. Use $. ...
  2. Use $[index] to extract the value of an element from a JSON array.
  3. Use -> as a shortcut for JSON_EXTRACT if the value is not a string.

What is JSON extract () function in MySQL? ›

In MySQL, the JSON_EXTRACT() function returns data from a JSON document. The actual data returned is determined by the path you provide as an argument. You provide the JSON document as the first argument, followed by the path of the data to return.

Can I store JSON as string in MySQL? ›

Solution. MySQL supports saving JSON data as String and Parsing JSON with JSON functions.

How do I query a JSON file in SQL? ›

Querying JSON in SQL Server
  1. First – Add JSON data to a table.
  2. Get a single value with JSON_VALUE()
  3. Get a JSON object with JSON_QUERY()
  4. Filter rows based on values in the JSON – JSON_VALUE() in the WHERE clause.
  5. Add a computed column so the client code doesn't have to call JSON_VALUE() Add an index on the computed column.
9 Dec 2020

How do I deserialize JSON in SQL Server? ›

OPENJSON is a table-valued function that helps to parse JSON in SQL Server and it returns the data values and types of the JSON text in a table format. Now, we will look at the syntax of this function.
...
OPENJSON() function parses JSON in SQL Server.
Type columnJSON data type
1string
2int
3true/false
4array
2 more rows
15 Sept 2020

What is the query with used for to see JSON format? ›

Use the FOR JSON clause to simplify client applications by delegating the formatting of JSON output from the app to SQL Server. Azure Data Studio is the recommended query editor for JSON queries because it auto-formats the JSON results (as seen in this article) instead of displaying a flat string.

How do I query a JSON column in MySQL? ›

MySQL provides two operators ( -> and ->> ) to extract data from JSON columns. ->> will get the string value while -> will fetch value without quotes. As you can see ->> returns output as quoted strings, while -> returns values as they are. You can also use these operators in WHERE clause as shown below.

What is JSON data type? ›

JSON is a text-based data format following JavaScript object syntax, which was popularized by Douglas Crockford. Even though it closely resembles JavaScript object literal syntax, it can be used independently from JavaScript, and many programming environments feature the ability to read (parse) and generate JSON.

Which statement can you use to load data from a file into a table? ›

The LOAD DATA statement reads rows from a text file into a table at a very high speed. The file can be read from the server host or the client host, depending on whether the LOCAL modifier is given.

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