The json_each function in Postgres is used to expand a JSON object into a set of key-value pairs.
It is useful when you need to iterate over a JSON object's keys and values, such as when you're working with dynamic JSON structures where the schema is not fixed. Another important use case is performing data transformations and analytics.
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Function signature
json_each(json JSON) -> SETOF record(key text, value json)The function returns a set of rows, each containing a key and the corresponding value for each field in the input JSON object. The key is of type text, while the value is of type json.
Example usage
Consider a JSON object representing a user's profile information. The JSON data will have multiple attributes and might look like this:
{
"username": "johndoe",
"age": 30,
"email": "johndoe@example.com"
}We can go over all the fields in the profile JSON object using json_each, and produce a row for each key-value pair.
SELECT key, value
FROM json_each('{"username": "johndoe", "age": 30, "email": "johndoe@example.com"}');This query returns the following results:
| key | value |
|----------|-----------------------|
| username | "johndoe" |
| age | 30 |
| email | "johndoe@example.com" |Advanced examples
json_each custom column names
You can use AS to specify custom column names for the key and value columns.
SELECT attr_name, attr_value
FROM json_each('{"username": "johndoe", "age": 30, "email": "johndoe@example.com"}')
AS user_data(attr_name, attr_value);This query returns the following results:
| attr_name | attr_value |
|-----------|-----------------------|
| username | "johndoe" |
| age | 30 |
| email | "johndoe@example.com" |Use json_each as a table or row source
Since json_each returns a set of rows, you can use it as a table source in a FROM clause. This lets us join the expanded JSON data in the output with other tables.
Here, we're joining each row in the user_data table with the output of json_each:
CREATE TABLE user_data (
id INT,
profile JSON
);
INSERT INTO user_data (id, profile)
VALUES
(123, '{"username": "johndoe", "age": 30, "email": "johndoe@example.com"}'),
(140, '{"username": "mikesmith", "age": 40, "email": "mikesmith@example.com"}');
SELECT id, key, value
FROM user_data, json_each(user_data.profile);This query returns the following results:
| id | key | value |
|-----|----------|-------------------------|
| 123 | username | "johndoe" |
| 123 | age | 30 |
| 123 | email | "johndoe@example.com" |
| 140 | username | "mikesmith" |
| 140 | age | 40 |
| 140 | email | "mikesmith@example.com" |Additional considerations
Performance implications
When working with large JSON objects, json_each may lead to performance overhead, as it expands each key-value pair into a separate row.
Alternative functions
json_each_text- Similar functionality tojson_eachbut returns the value as a text type instead ofJSON.json_object_keys- It returns only the set of keys in theJSONobject, without the values.jsonb_each- It provides the same functionality asjson_each, but acceptsJSONBinput instead ofJSON.