Converting CSV-Structured JSON to SQL INSERT Statements

CSV-Origin JSON to SQL

JSON data that originated from CSV conversion has unique characteristics: all values may be strings, headers become keys, and empty cells become empty strings or nulls. Special handling is needed for accurate SQL conversion.

Example JSON (CSV Origin)

[
  { "id": "1", "name": "Alice", "age": "30", "salary": "75000.50", "active": "true", "notes": "" },
  { "id": "2", "name": "Bob", "age": "25", "salary": "62000.00", "active": "false", "notes": "new hire" }
]

Notice that all values are strings, even numbers and booleans. This is a telltale sign of CSV origin.

Type Coercion

The converter should detect and cast values to appropriate SQL types:

INSERT INTO employees (id, name, age, salary, active, notes) VALUES
  (1, 'Alice', 30, 75000.50, TRUE, NULL),
  (2, 'Bob', 25, 62000.00, FALSE, 'new hire');

Type Detection Rules

String pattern	Inferred type
"123" (all digits)	INTEGER
"123.45" (digits with dot)	DECIMAL / FLOAT
"true" / "false"	BOOLEAN
"" (empty string)	NULL
"2024-06-15" (date pattern)	DATE
Everything else	VARCHAR / TEXT

Empty String Handling

CSV exports often represent missing data as empty strings. The converter should offer options:

• Convert to NULL (recommended for most databases)
• Keep as empty string (for VARCHAR columns where empty is meaningful)

Header Normalization

CSV headers often contain spaces, special characters, or mixed case:

CSV header	Normalized column name
"Full Name"	full_name
"E-mail Address"	email_address
"#ID"	id
"Total ($)"	total_usd

Large File Chunking

CSV files can be very large. The converter splits JSON arrays into chunks:

-- Chunk 1 (rows 1-1000)
INSERT INTO employees (...) VALUES (...), (...), ...;

-- Chunk 2 (rows 1001-2000)
INSERT INTO employees (...) VALUES (...), (...), ...;

Pipeline: CSV -> JSON -> SQL

This two-step conversion is common because JSON is easier to manipulate programmatically than CSV. Tools like jq, Python's json module, or the DevToolbox CSV-to-JSON converter handle the first step. The JSON-to-SQL converter handles the second.