Basic Bulk INSERT from a JSON Array
Learn how to convert a simple JSON array into a multi-row bulk INSERT statement. Covers column detection, value formatting, and the multi-row VALUES syntax.
Detailed Explanation
From JSON Array to Bulk INSERT
The most fundamental bulk conversion takes a JSON array of objects and produces a single INSERT INTO ... VALUES statement with multiple value rows. Each JSON object becomes one row, and the keys become column names.
Example JSON
[
{ "id": 1, "name": "Alice", "email": "alice@example.com" },
{ "id": 2, "name": "Bob", "email": "bob@example.com" },
{ "id": 3, "name": "Charlie", "email": "charlie@example.com" }
]
Generated SQL
INSERT INTO users ("id", "name", "email")
VALUES
(1, 'Alice', 'alice@example.com'),
(2, 'Bob', 'bob@example.com'),
(3, 'Charlie', 'charlie@example.com');
Why Bulk INSERT?
A single multi-row INSERT is dramatically faster than individual INSERT statements because:
- Fewer round-trips: The database parses and executes one statement instead of N statements
- Transaction efficiency: A single implicit transaction wraps all rows
- Index optimization: The database can batch index updates
- Network savings: One packet instead of N packets over the wire
Type Handling
| JSON type | SQL representation |
|---|---|
| string | Single-quoted literal |
| number | Unquoted numeric literal |
| boolean | TRUE / FALSE |
| null | NULL |
| object/array | JSON-serialized string |
The tool automatically infers SQL types from your data, making the conversion seamless for mixed-type datasets.
Use Case
You have exported user data as a JSON file from an API and need to import it into a PostgreSQL database. Instead of writing individual INSERT statements, the bulk format lets you import all records in a single efficient statement.