Most effective method for structuring a JSON format that contains recurring keys for every item within its array

Currently, I'm creating a JSON object that includes multiple addresses. My main concern is the potential for the JSON size to grow too large, which could impact browser performance and parsing speed in JavaScript. Each address includes keys such as "ID", "FirmName", "Address1", "Address2", "City", "State", "Zip5", and "Zip4". Having these repeated keys for each address significantly increases the overall json size.

  • I'm exploring ways to avoid the need for these repetitive keys in the JSON while still including their corresponding values for each address. Would representing the values of "ID", "Firmname", etc as an array [e.g., ["0","firmname","address1here",..] raise concerns about the order of the values?

  • Could representing them as an array of values (rather than multiple key-value pairs) make the parsing process more complex?

  • If I opt to directly represent it as an array of values to improve JSON efficiency, would this compromise the structure's readability?

      "Address": [
        {
            "-ID": "0",
            "FirmName": "firmname",
            "Address1": "address1here",
            "Address2": "13 infinite loop",
            "City": "new york",
            "State": "NY",
            "Zip5": "zip5here",
            "Zip4": "zip4here"
        },
        {
            "-ID": "1",
            "FirmName": "firmhere",
            "Address1": "address1here",
            "Address2": "1 Smith Ct ",
            "City": "San Predo",
            "State": "CA",
            "Zip5": "ziphere",
            "Zip4": "ziphere1"
        },
        {
            "-ID": "1",
            "FirmName": "firmhere",
            "Address1": "address1here",
            "Address2": "12 John Rd ",
            "City": "Newark",
            "State": "PA",
            "Zip5": "ziphere",
            "Zip4": "ziphere1"
        }
    ]
    

Your insights on this matter would be greatly appreciated.

Answer №1

When dealing with large JSON objects, it is important to consider the potential browser crashing issues that may arise, especially with extremely large objects. Before making any changes, it is crucial to determine if the object size is causing performance issues.

If converting your data into an array proves to significantly improve performance, sacrificing readability for efficiency is a reasonable trade-off. Adding a property to represent keys in order within the JSON object can streamline data retrieval processes.

By creating a structured array of keys like

dataKey: ["ID","FirmName","Address1","Address2"]
, you can easily retrieve specific values without hardcoding key orders into the code. This approach makes the object self-explanatory and enhances documentation clarity.

Ensuring that your architecture is clearly documented is essential for understanding and maintaining the system. If user experience becomes an issue, dividing the object into manageable chunks, such as records 1-50, 51-100, can help optimize performance for web applications handling extensive data sets.

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