About File Extension JSON. File.org aims to be the go-to resource for file type- and related software information. We spend countless hours researching various file formats and software that can open, convert, create or otherwise work with those files. Here, we have used the open function to read the json file. Then, the file is parsed using json.load method which gives us a dictionary named data. If you do not know how to read and write files in Python, we recommend you to check Python File I/O. Json Editor is a Windows Store app that provides an easy way to open, view, edit and print.json files on all Windows devices! Our goal is to be the best Json viewer and editor App on Windows Store. OS supported include Windows 10 and Windows 8. JSON stands for JavaScript Object Notation. It is a syntax to store and exchange data over the internet.
- Next, upload your JSON file. Every JSON file should have a.json extension. In saying that, any extension should do as the convertor will figure out if it’s plain text. Finally, click Convert and wait for the file to process. This should only take a few seconds. After conversion, the new PDF should download to your computer. Open it up to see.
- Solution #2: How to open JSON file in Chrome. JSON files can be read in Chrome using an external extension. Google Chrome has a free JSON viewing plugin called “JSONView” which helps to read and evaluate JSON files using Chrome browser. Follow these steps to open a JSON file in Chrome. Download and install the extension “JSONView”.
A JSON file is known for storing simple objects and data structure in JSON (JavaScript Object Notation) format. The JSON is a standard type of data interchange format that is widely used to transmit data from a web application to a server or the vice-versa. The JSON files are light in terms of size and are created using texts using a text editor. If you are finding it difficult to open JSON files from your Windows or Mac running computer system, web browser or from a smartphone, then keep reading to learn the exact steps involved in properly opening them.
List of Windows programs that can open a JSON file:
- Microsoft WordPad
- Microsoft Notepad
- File Viewer Plus
- Notepad ++
- Mozilla Firefox
Steps to open JSON file in Windows 7 using Microsoft Notepad
- Click upon the ‘Start menu’ from the taskbar
- In the ‘search programs and files’ bar, type Notepad and then press the ‘Enter’ button from the computer connected keyboard
- The ‘Start Menu’ shall search for Notepad as you start typing for the same
- Once, Notepad gets listed under the programs within the Start Menu, make a click on it
- A new blank Notepad shall open up
- To open the JSON format file, you need to either click upon the ‘File’ menu and then select the ‘Open’ button or press Ctrl+O using your keyboard.
- A pop-up shall load asking you to locate the JSON file, in which you need to select ‘All Files’ from the drop-down box.
- Navigate through the local drives and open the respective JSON file after making a double click on it, or by pressing the Open button from the loaded Open Window.
- The entire data that has been stored as JSON format file shall get load up in the Notepad.
You can now edit, save and share the file as per your choices.
List of programs that can open the JSON file in iMac or MacBook:
- MacVim
- Apple TextEdit
- Bare Bones Text Wrangler
- Mozilla Firefox
Steps to opening JSON file in iMac or MacBook using Apple Text Edit program
Apple TextEdit is a free open source type of text editor program that comes bundled up with the previously and recently released Mac OS X versions. It is a program that has been created to let Apple computer users read, edit and save any kind of JSON format saved files.
- Click on the ‘LaunchPad’ icon.
- From the search bar that can be found on the top portion of the apps, type Apple TextEdit to load the exact search list
- Click upon the icon that says ‘TextEdit’ to open up the program
- From the loaded window, click upon the button that can be found on the bottom left corner of the window and says ‘New Document’
- Now, a new blank document shall load up
- To open the JSON file, navigate to the File Menu and then press the ‘Open’ option.
- Alternatively, you can also press the ‘Apple’ key along with the alphabet ‘O’ from the keyboard to load the Open Window.
- Visit the exact directory that has the JSON file and then open it up by pressing the ‘Open’ button
- Now you can read through the content that has been saved as file extension JSON
As the entire code gets showcased in a readable format, you can edit it using the TextEdit software program and save it to access any time later.
Using a web-browser plugin to open a JSON file:
If you are looking for an on-the-go option to open JSON file, then opening it by installing a reliable plugin shall do the job for you. The following steps can be followed on both Google Chrome and Mozilla Firefox web browsers to download plugins that can swiftly open up the content saved in JSON format.
For Google Chrome users:
- Open up the Chrome Web store by either using the Options menu or by visiting www.chrome.google.com/webstore.
- From the loaded page, select Extensions, and then in the search bar, type JSON View
- You will be listed with various extensions that can help in opening up the JSON file at ease.
- From the list, select ‘JSONView’ browser extension, download and add it to Chrome by pressing the ‘Add to Chrome’ button.
- Once the extension has been added to the Chrome browser, you need to restart the tabs to start accessing the extension.
- Now, you need to allow access to the JSON file URLs
- This can be done, by visiting the Chrome Extension page and under JSONView, ensure ‘Allow access to file URLs’ is selected
- After this, visit the folder location that has the JSON file saved in
- Right-click on the file and then select ‘Properties’.
- From the ‘Properties’ window, select the ‘Change’ button to select the program that you are about to use to open the JSON File.
- Select Google Chrome from the list of programs and the press upon the ‘OK’ button
- Confirm this action by clicking the ‘OK’ button from the ‘Properties’ window too
- Now, you can double-click on the JSON file itself to load it in Google Chrome in a readable way
The previously installed Chrome extension converts the code and displays them as well.
Steps to Open JSON format saved files in Android smartphone or tablet
If you have received a JSON format saved file in your e-mail or through a messenger platform, then follow the step-wise guide as mentioned-below to open and read through the JSON file at ease.
- Open up Google Play Store from the app drawer of your android running smartphone or tablet
- In the search bar, type JSON and then touch the search icon button
- A list of applications that have been specifically developed to open JSON files shall load up
- Read through the reviews that are posted alongside the application to understand the genuine levels before installing them
- Once the app has been installed to your smartphone, you can open it up, browse through the file directory, locate the saved JSON file and open it at your convenience.
JSON Genie is a popular android app that allows its users to swiftly open JSON file from any popular source, starting from the internal storage, Dropbox and attached SD card. You can also copy and paste the JSON URL file link to find the codes that are saved in the JSON file format Or if you have XLS or XLSX file then you can use the Mircosoft excel application.
-->Applies to:
OPENJSON is a table-valued function that parses JSON text and returns objects and properties from the JSON input as rows and columns. In other words, OPENJSON provides a rowset view over a JSON document. You can explicitly specify the columns in the rowset and the JSON property paths used to populate the columns. Since OPENJSON returns a set of rows, you can use OPENJSON in the FROM clause of a Transact-SQL statement just as you can use any other table, view, or table-valued function.
Use OPENJSON to import JSON data into SQL Server, or to convert JSON data to relational format for an app or service that can't consume JSON directly.
Note
The OPENJSON function is available only under compatibility level 130 or higher. If your database compatibility level is lower than 130, SQL Server can't find and run the OPENJSON function. Other JSON functions are available at all compatibility levels.
You can check compatibility level in the sys.databases view or in database properties. You can change the compatibility level of a database with the following command:
ALTER DATABASE DatabaseName SET COMPATIBILITY_LEVEL = 130
Compatibility level 120 may be the default even in a new Azure SQL Database.
Syntax
The OPENJSON table-valued function parses the jsonExpression provided as the first argument and returns one or more rows containing data from the JSON objects in the expression. jsonExpression can contain nested sub-objects. If you want to parse a sub-object from within jsonExpression, you can specify a path parameter for the JSON sub-object.
openjson
By default, the OPENJSON table-valued function returns three columns, which contain the key name, the value, and the type of each {key:value} pair found in jsonExpression. As an alternative, you can explicitly specify the schema of the result set that OPENJSON returns by providing with_clause.
with_clause
with_clause contains a list of columns with their types for OPENJSON to return. By default, OPENJSON matches keys in jsonExpression with the column names in with_clause (in this case, matches keys implies that it is case sensitive). If a column name does not match a key name, you can provide an optional column_path, which is a JSON Path Expression that references a key within the jsonExpression.
Arguments
jsonExpression
Is a Unicode character expression containing JSON text.
OPENJSON iterates over the elements of the array or the properties of the object in the JSON expression and returns one row for each element or property. The following example returns each property of the object provided as jsonExpression:
Results:
| key | value | type |
|---|---|---|
| String_value | John | 1 |
| DoublePrecisionFloatingPoint_value | 45 | 2 |
| DoublePrecisionFloatingPoint_value | 2.3456 | 2 |
| BooleanTrue_value | true | 3 |
| BooleanFalse_value | false | 3 |
| Null_value | NULL | 0 |
| Array_value | ['a','r','r','a','y'] | 4 |
| Object_value | {'obj':'ect'} | 5 |
- The DoublePrecisionFloatingPoint_value conforms to IEEE-754.
path
Is an optional JSON path expression that references an object or an array within jsonExpression. OPENJSON seeks into the JSON text at the specified position and parses only the referenced fragment. For more info, see JSON Path Expressions (SQL Server).
In SQL Server 2017 (14.x) and in Azure SQL Database, you can provide a variable as the value of path.
The following example returns a nested object by specifying the path:
Results
| Key | Value |
|---|---|
| 0 | en-GB |
| 1 | en-UK |
| 2 | de-AT |
| 3 | es-AR |
| 4 | sr-Cyrl |
When OPENJSON parses a JSON array, the function returns the indexes of the elements in the JSON text as keys.
The comparison used to match path steps with the properties of the JSON expression is case-sensitive and collation-unaware (that is, a BIN2 comparison).
with_clause
Explicitly defines the output schema for the OPENJSON function to return. The optional with_clause can contain the following elements:
colNameIs the name for the output column.
By default, OPENJSON uses the name of the column to match a property in the JSON text. For example, if you specify the column name in the schema, OPENJSON tries to populate this column with the property 'name' in the JSON text. You can override this default mapping by using the column_path argument.
type
Is the data type for the output column.
Note
If you also use the AS JSON option, the column type must be NVARCHAR(MAX).
column_path
Is the JSON path that specifies the property to return in the specified column. For more info, see the description of the path parameter previously in this topic.
Use column_path to override default mapping rules when the name of an output column doesn't match the name of the property.
The comparison used to match path steps with the properties of the JSON expression is case-sensitive and collation-unaware (that is, a BIN2 comparison).
For more info about paths, see JSON Path Expressions (SQL Server).
AS JSON
Use the AS JSON option in a column definition to specify that the referenced property contains an inner JSON object or array. If you specify the AS JSON option, the type of the column must be NVARCHAR(MAX).
If you don't specify AS JSON for a column, the function returns a scalar value (for example, int, string, true, false) from the specified JSON property on the specified path. If the path represents an object or an array, and the property can't be found at the specified path, the function returns null in lax mode or returns an error in strict mode. This behavior is similar to the behavior of the JSON_VALUE function.
If you specify AS JSON for a column, the function returns a JSON fragment from the specified JSON property on the specified path. If the path represents a scalar value, and the property can't be found at the specified path, the function returns null in lax mode or returns an error in strict mode. This behavior is similar to the behavior of the JSON_QUERY function.
Note
If you want to return a nested JSON fragment from a JSON property, you have to provide the AS JSON flag. Without this option, if the property can't be found, OPENJSON returns a NULL value instead of the referenced JSON object or array, or it returns a run-time error in strict mode.
For example, the following query returns and formats the elements of an array:
Results
| Number | Date | Customer | Quantity | Order |
|---|---|---|---|---|
| SO43659 | 2011-05-31T00:00:00 | AW29825 | 1 | {'Number':'SO43659','Date':'2011-05-31T00:00:00'} |
| SO43661 | 2011-06-01T00:00:00 | AW73565 | 3 | {'Number':'SO43661','Date':'2011-06-01T00:00:00'} |
Return value
The columns that the OPENJSON function returns depend on the WITH option.
When you call OPENJSON with the default schema - that is, when you don't specify an explicit schema in the WITH clause - the function returns a table with the following columns:
Key. An nvarchar(4000) value that contains the name of the specified property or the index of the element in the specified array. The key column has a BIN2 collation.
Value. An nvarchar(max) value that contains the value of the property. The value column inherits its collation from jsonExpression.
Type. An int value that contains the type of the value. The Type column is returned only when you use OPENJSON with the default schema. The type column has one of the following values:
Value of the Type column JSON data type 0 null 1 string 2 number 3 true/false 4 array 5 object
Only first-level properties are returned. The statement fails if the JSON text is not properly formatted.
When you call OPENJSON and you specify an explicit schema in the WITH clause, the function returns a table with the schema that you defined in the WITH clause.
Note
The Key, Value, and Type columns are returned only when you use OPENJSON with the default schema and are not available with an explicit schema.
Remarks
json_path used in the second argument of OPENJSON or in with_clause can start with the lax or strict keyword.
- In lax mode, OPENJSON doesn't raise an error if the object or value on the specified path can't be found. If the path can't be found, OPENJSON returns either an empty result set or a NULL value.
- In strict, mode OPENJSON returns an error if the path can't be found.
Some of the examples on this page explicitly specify the path mode, lax or strict. The path mode is optional. If you don't explicitly specify a path mode, lax mode is the default. For more info about path mode and path expressions, see JSON Path Expressions (SQL Server).
Open Json Files Windows
Column names in with_clause are matched with keys in the JSON text. If you specify the column name [Address.Country], it's matched with the key Address.Country. If you want to reference a nested key Country within the object Address, you have to specify the path $.Address.Country in column path.
json_path may contain keys with alphanumeric characters. Escape the key name in json_path with double quotes if you have special characters in the keys. For example, $.'my key $1'.regularKey.'key with . dot' matches value 1 in the following JSON text:
Examples
Example 1 - Convert a JSON array to a temporary table
The following example provides a list of identifiers as a JSON array of numbers. The query converts the JSON array to a table of identifiers and filters all products with the specified IDs.
This query is equivalent to the following example. However, in the example below, you have to embed numbers in the query instead of passing them as parameters.
Example 2 - Merge properties from two JSON objects
The following example selects a union of all the properties of two JSON objects. The two objects have a duplicate name property. The example uses the key value to exclude the duplicate row from the results.
Example 3 - Join rows with JSON data stored in table cells using CROSS APPLY
In the following example, the SalesOrderHeader table has a SalesReason text column that contains an array of SalesOrderReasons in JSON format. The SalesOrderReasons objects contain properties like Quality and Manufacturer. The example creates a report that joins every sales order row to the related sales reasons. The OPENJSON operator expands the JSON array of sales reasons as if the reasons were stored in a separate child table. Then the CROSS APPLY operator joins each sales order row to the rows returned by the OPENJSON table-valued function.
Tip
When you have to expand JSON arrays stored in individual fields and join them with their parent rows, you typically use the Transact-SQL CROSS APPLY operator. For more info about CROSS APPLY, see FROM (Transact-SQL).
The same query can be rewritten by using OPENJSON with an explicitly defined schema of rows to return:
In this example, the $ path references each element in the array. If you want to explicitly cast the returned value, you can use this type of query.
Example 4 - Combine relational rows and JSON elements with CROSS APPLY
The following query combines relational rows and JSON elements into the results shown in the following table.
Results
Open Json Files Online
| title | street | postcode | lon | lat |
|---|---|---|---|---|
| Whole Food Markets | 17991 Redmond Way | WA 98052 | 47.666124 | -122.10155 |
| Sears | 148th Ave NE | WA 98052 | 47.63024 | -122.141246,17 |
Example 5 - Import JSON data into SQL Server
The following example loads an entire JSON object into a SQL Server table.
Open Json Files Mac
Example 6 - Simple example with JSON content
Open Json Files Mac
See also