Converting Nested JSON Objects to Reviewable SQL Insert Drafts for MySQL, Postgres & SQLite

What is Nested JSON to SQL Conversion?

When migrating data from NoSQL document databases (like MongoDB) or consuming complex REST/GraphQL API payloads, developers need to import JSON records into relational databases (MySQL, PostgreSQL, or SQLite).

However, JSON objects frequently contain nested child objects (e.g. {"user": {"profile": {"age": 28}}}) which do not correspond directly to 2D relational database table schemas.

Key Conversion Challenges

1. Nested Structure Flattening: Deeply nested attributes must be recursively collapsed into flat column names using underscores (e.g. user_profile_age).
2. SQL Dialect Identifier Quoting:

• MySQL: Backtick identifier quoting
• PostgreSQL: Double quote identifier quoting
• SQLite: Standard identifier quoting

1. Literal Escaping vs Parameter Binding: This browser tool emits escaped SQL literals for migration drafts. Production application writes must still use driver or ORM parameter binding.

Flattening Algorithm Code Snippet

export function flattenJsonObject(obj: Record<string, any>, prefix = ""): Record<string, any> {
    const result: Record<string, any> = {};
    for (const key of Object.keys(obj)) {
        const val = obj[key];
        const newKey = prefix ? prefix + "_" + key : key;
        if (val !== null && typeof val === "object" && !Array.isArray(val)) {
            Object.assign(result, flattenJsonObject(val, newKey));
        } else {
            result[newKey] = val;
        }
    }
    return result;
}

Frequently Asked Questions (FAQ)

Q1: How are nested arrays handled during JSON to SQL conversion?

Arrays containing primitive values or objects are automatically serialized into valid JSON strings (e.g., '["admin", "dev"]'), making them ready to insert into JSON or TEXT data type columns in MySQL 5.7+ or PostgreSQL.

Q2: What SQL dialects are supported by Tiny's Tool JSON to SQL converter?

Our converter supports MySQL (backtick quotes), PostgreSQL (double quotes), and SQLite syntax with automatic type casting for booleans (1/0 vs TRUE/FALSE).

Q3: Is my database data uploaded, and can I execute the output directly?

Conversion runs in browser memory and does not intentionally upload the pasted JSON. Treat the output as a draft: review identifiers and values, keep the source data, and use parameterized queries for application writes.