When You Need This
Two common scenarios: you exported data from a REST API or a NoSQL database and need to seed a relational database for development or testing, or you are migrating production data and the ETL pipeline is not ready yet. Manually writing INSERT statements for hundreds of records is error-prone. A JSON-to-SQL converter does it instantly.
Dialect Differences
SQL INSERT syntax is mostly standard but has important dialect variations:
- Identifier quoting: MySQL uses backticks, PostgreSQL and SQLite use double quotes, SQL Server uses square brackets.
- Boolean values: PostgreSQL uses TRUE/FALSE, MySQL uses 1/0, SQL Server uses 1/0 or BIT.
- Auto-increment: MySQL uses AUTO_INCREMENT, PostgreSQL uses SERIAL or GENERATED, SQL Server uses IDENTITY.
- Batch inserts: most dialects support
INSERT INTO t VALUES (row1), (row2)but the maximum number of rows per statement varies.
Handling Nulls and Special Characters
JSON null maps to SQL NULL — make sure the converter preserves this distinction and does not insert the string "null". String values containing single quotes must be escaped (doubled in standard SQL). Values containing newlines or binary data need special handling depending on the dialect.
Practical Tips
Always wrap the generated statements in a transaction so you can roll back if something goes wrong. Review the generated column mapping before running — JSON key names may not match your column names exactly.