Aug 07, 2012 · (4 replies) (Reposted as the list manager appears to have eaten the first copy): Hey all It seems to be surprisingly hard to build JSON structures with PostgreSQL 9.2's json features, because: - There's no aggregate, function or operator that merges two or more objects; and - there's no single-value "json_escape" or equivalent.
I have JSON files that I am working on importing into SQL. I am able to access the general data, but there is some data where it contains an Array of data (just a listing) which may be 0 rows, or 100. I am unable to determine how to reference this data in order to call it correctly. Here is my sample data to work with.
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Now in ExtJS, creating a View is dead simple. You simply have to pass the View a JSON structure wherein each level is an array of objects. My problem, however, was not with the ExtJS side. Rather, it was turning a MySQL query result set into a structure that could be serialized into the proper format and sent off to ExtJS. An Initial Attempt

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  • Postgres supports a JSON data type natively as of 9.2 (full support in 9.3). In order to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have Postgres 9.4 or later.
  • The API Server exposes Web services that allow connectivity to your data. Use the OData endpoint of the CData API Server to execute CRUD queries to PostgreSQL data from Node.js.

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SELECT (json_array_elements(result)->'column_name_2')::text Of course theres plenty more you can do with the JSON operators in the new Postgres 9.3. If you’ve already got JSON in your application give them a look today. And while slightly worse, if you’ve got JSON stored in a text field simply cast it with ::json to begin using the operators.

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  • -- Check if a field contains a valid JSON-formatted value select is_valid_json(json_column) from table_name; -- Check if a field contains a valid JSON array select is_valid_json_array(json_column) from table_name; -- Extract the value of `status` from a column named json_values select json_extract_path_text(json_values, 'status') from event_attributes; -- Look for rows that have status: live ...

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new functions: json_array_length, json_extract_path, json_array_elements and many more. The full list of JSON specific functions can be found at The query takes the object and searches for the element name. This element's value is returned for each row in the table.

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npx pg-nested-json-query web-query.yaml | psql database > web-data.json. Here is the help screen for CLI tool. Usage.

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Jan 18, 2018 · 1). The nested object can be collection types such as a List or Array. Indexing notations must be used for this case. 2). A list or array of strings can be passed into either root or nested objects. For example, using the model binder for the property defined in a class: public string[] MyStrings { get; set; } Your input parameter can be like this:

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Description. Retrieves values from JSON objects for data binding. Offers params, nested queries, deep queries, custom reduce/filter functions and simple boolean logic.

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Feb 26, 2018 · The OPENJSON is a table-valued function that parses the json into a row/column result and the WITH clause let us define how we want that output. Here is the query without the WHERE clause: Note: The OPENJSON function will not work if the database compatibility level is lower than 130.

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Django's JSONField actually stores the data in a Postgres JSONB column, which is only available in Postgres 9.4 and later. JSONField is great when you want a more flexible schema. For example if you want to change the keys without having to do any data migrations, or if not all your objects have the same structure.

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