Writing INSERT statements by hand from a JSON export is tedious and error-prone. Generating them automatically saves time — as long as you're careful about escaping and know when this shortcut is actually appropriate.
1. Know When This Shortcut Fits
Generated INSERT statements are great for seeding a dev database, backfilling a handful of missing records, or one-off imports. They are not a replacement for a proper ETL pipeline with batching, retries, and validation if you're moving large or recurring datasets.
2. Escape String Values Properly
Every string value needs its single quotes doubled (' → '') and, on engines without NO_BACKSLASH_ESCAPES, backslashes escaped too. Never concatenate raw JSON string values into a SQL statement without escaping — that's how a name like O'Brien silently breaks the statement, or worse.
3. Decide What to Do With Nested Data
SQL tables are flat; JSON isn't. A nested object or array in a row either needs to be flattened into separate columns, stored as a JSON string in a text/JSON column, or normalized into a related table — pick based on how the data will actually be queried afterward.
4. Quote Identifiers for Your Database
Column and table names with spaces, reserved words, or mixed case need quoting — backticks in MySQL, double quotes in PostgreSQL/ANSI SQL. Quoting consistently avoids syntax errors when a JSON key happens to collide with a SQL reserved word.
5. Test Before Running Against Real Data
Run the generated statements inside a transaction first and roll back, or test against a scratch database. Confirm numbers, dates, and booleans came through correctly before you commit — it's much easier to fix a generator prompt than to clean up bad rows afterward.