My goal is to completely change the listings field
Structure in the database:
{ "other":{ "price": 0, "isFrozen": false, }, "listings": { "price": 0, "isFrozen": false, "isLocked": false, "pricings": [], "isSalable": false, "listingId": "c2520a55-83fa-4989-a219-ac0efb13bf9a", "isSuspended": false, "lockReasons": [], "merchantSku": "AAAQKIRMIZIL", "dispatchTime": 0 } }
I've been trying something like this but no results I am trying to update according to the information returned from the API. The type of response['listings'][0] is dict.
update products set column_name= JSON_REPLACE(column_name, '$.listings', " response['listings'][0] ") where id='" str(id) "'
CodePudding user response:
Here's a Python fragment that I tested:
doc = json.dumps(response["listings"][0])
id = 1
sql = """
UPDATE products
SET column_name = JSON_SET(column_name, '$.listings', CAST(? AS JSON))
WHERE id = ?
"""
cursor.execute(sql, (doc, id))
cnx.commit()
The trick is that you should serialize your Python dict into a JSON format string, then pass that as a parameter (using a query parameter, not string concatenation) to MySQL. In MySQL, use CAST()
to convert the string into a JSON value, then it will preserve the nested structure. If you don't cast it, the JSON will be assigned as a string value that happens to contain commas and quotes and stuff like that, not as a nested JSON object.
P.S.: Please, please, please get into the habit of using query parameters instead of string-concatenation.