Tutorial by Examples: json

WITHOUT_ARRAY_WRAPPER option in FOR JSON clause will remove array brackets from the JSON output. This is useful if you are returning single row in the query. Note: this option will produce invalid JSON output if more than one row is returned. Input table data (People table) IdNameAge1John232J...

OPENJSON function parses JSON text and returns multiple outputs. Values that should be returned are specified using the paths defined in the WITH clause. If a path is not specified for some column, the column name is used as a path. This function casts returned values to the SQL types defined in the...

Formats results of SELECT query as JSON text. FOR JSON PATH clause is added after query: SELECT top 3 object_id, name, type, principal_id FROM sys.objects FOR JSON PATH Column names will be used as keys in JSON, and cell values will be generated as JSON values. Result of the query would be an a...

FOR JSON PATH enables you to control format of the output JSON using column aliases: SELECT top 3 object_id as id, name as [data.name], type as [data.type] FROM sys.objects FOR JSON PATH Column alias will be used as a key name. Dot-separated column aliases (data.name and data.type) will be gen...

WITHOUT_ARRAY_WRAPPER option enables you to generate a single object instead of the array. Use this option if you know that you will return single row/object: SELECT top 3 object_id, name, type, principal_id FROM sys.objects WHERE object_id = 3 FOR JSON PATH, WITHOUT_ARRAY_WRAPPER Single obje...

Automatically nests values from the second table as a nested sub-array of JSON objects: SELECT top 5 o.object_id, o.name, c.column_id, c.name FROM sys.objects o JOIN sys.columns c ON o.object_id = c.object_id FOR JSON AUTO Result of the query would be array of JSON objects: [ { &...

If you need some complex JSON structure that cannot be created using FOR JSON PATH or FOR JSON AUTO, you can customize your JSON output by putting FOR JSON sub-queries as column expressions: SELECT top 5 o.object_id, o.name, (SELECT column_id, c.name FROM sys.columns c WHERE o...

Here is a simple JsonArray which you would like to convert to a Java ArrayList: { "list": [ "Test_String_1", "Test_String_2" ] } Now pass the JsonArray 'list' to the following method which returns a corresponding...

you can custom class below one private final String PROTOCOL_CONTENT_TYPE = String.format("application/json; charset=%s", PROTOCOL_CHARSET); public BooleanRequest(int method, String url, String requestBody, Response.Listener<Boolean> listener, Response.ErrorListener errorList...

The presence of a tsconfig.json file indicates that the current directory is the root of a TypeScript enabled project. Initializing a TypeScript project, or better put tsconfig.json file, can be done through the following command: tsc --init As of TypeScript v2.3.0 and higher this will create t...

can either pass string of the json, or a filepath to a file with valid json In [99]: pd.read_json('[{"A": 1, "B": 2}, {"A": 3, "B": 4}]') Out[99]: A B 0 1 2 1 3 4 Alternatively to conserve memory: with open('test.json') as f: data = pd.Da...

def to_flare_json(df, filename): """Convert dataframe into nested JSON as in flare files used for D3.js""" flare = dict() d = {"name":"flare", "children": []} for index, row in df.iterrows(): parent = row[...

Sometimes it's useful to check if a field is present or absent on your JSON to avoid some JSONException on your code. To achieve that, use the JSONObject#has(String) or the method, like on the following example: Sample JSON { "name":"James" } Java code String jsonStr...

In JavaScript, the JSON object is used to parse a JSON string. This method is only available in modern browsers (IE8+, Firefox 3.5+, etc). When a valid JSON string is parsed, the result is a JavaScript object, array or other value. JSON.parse('"bar of foo"') // "bar of foo" (t...

Ordering directly on JSONField is not yet supported in Django. But it's possible via RawSQL using PostgreSQL functions for jsonb: from django.db.models.expressions import RawSQL RatebookDataEntry.objects.all().order_by(RawSQL("data->>%s", ("json_objects_key",))) This e...

We consume rest API as a JSON format and then unmarshal it to a POJO. Jackson’s org.codehaus.jackson.map.ObjectMapper “just works” out of the box and we really don’t do anything in most cases. But sometimes we need custom deserializer to fulfill our custom needs and this tutorial will guide you thro...

JSON_VALUE function enables you to take a data from JSON text on the path specified as the second argument, and use this value in any part of the select query: select ProductID, Name, Color, Size, Price, JSON_VALUE(Data, '$.Type') as Type from Product where JSON_VALUE(Data, '$.Type') = 'part' ...

Once JSON values are extracted from JSON text, you can use them ina any part of the query. You can create some kind of report on JSON data with grouping aggregations, etc: select JSON_VALUE(Data, '$.Type') as type, AVG( cast(JSON_VALUE(Data, '$.ManufacturingCost') as float) ) as cost from...

If some JSON text might not be properly formatted, you can remove those entries from query using ISJSON function. select ProductID, Name, Color, Size, Price, JSON_VALUE(Data, '$.Type') as Type from Product where JSON_VALUE(Data, '$.Type') = 'part' and ISJSON(Data) > 0

JSON_MODIFY function can be used to update value on some path. You can use this function to modify original value of JSON cell in UPDATE statement: update Product set Data = JSON_MODIFY(Data, '$.Price', 24.99) where ProductID = 17; JSON_MODIFY function will update or create Price key (if it do...