Convert SQLite to MySQL

Upload a .sqlite or .db or .sqlite3 file and get back a MySQL SQL script you can load straight into your database. Types are preserved rather than flattened to text. Free, no registration, up to 10MB.

Click to upload or drag and drop

CSV, Excel, SQLite, SQL, DBF (max 10 MB)

How your data is typed in MySQL

Generated from the converter's own MySQL type mapping — this is what it actually emits, not an example.

Your dataMySQL type
Whole numberBIGINT
Decimal (money)DECIMAL(10,2)
Floating pointDOUBLE
True / falseTINYINT(1)
DateDATE
Date and timeDATETIME
Short textVARCHAR(255)
Long textLONGTEXT
Binary dataLONGBLOB

Working from a .sqlite file

SQLite is a complete relational database in a single file, which makes it both the easiest source to read and the one people most often need to get out of: the tables, names and constraints are already there to be carried over.

  • The database is opened read-only through a file: URI, so the file you uploaded is never written to, not even to tidy up after itself.
  • SQLite's own bookkeeping tables - anything named sqlite_%, such as sqlite_sequence - are left out. Every other table is converted, in alphabetical order.
  • Declared types are matched the way SQLite matches them, by substring, so VARCHAR(20), NVARCHAR and CHARACTER all land as text columns.

Loading the dump into MySQL

The download is a plain SQL script, so nothing in it depends on how you connect: the same file goes in through the command-line client, through a GUI import dialog or through phpMyAdmin. What is worth reading first is the handful of statements it runs before it creates anything.

  • Before the first CREATE TABLE the script issues SET NAMES utf8mb4, so the session decodes the file as UTF-8 whatever the client's own default character set is. The file itself carries no marker saying so.
  • The line after it turns FOREIGN_KEY_CHECKS off. That is there for the schema you are loading into, not for the script: it lets rows arrive in whatever order the tables came out of the source without a constraint that already exists rejecting them.
  • A true/false column is declared TINYINT(1) and its values are written as 1 and 0. MySQL's own BOOLEAN keyword expands to exactly that, so a client that does not special-case the width shows you a number rather than a boolean.

Reading SQLite

  • Declared types, primary keys, NOT NULL constraints and blobs all carry through.
  • SQLite reports INTEGER PRIMARY KEY as nullable because it aliases the rowid; the conversion corrects that.
  • SQLite type affinity is loose, so a NUMERIC column with no declared scale is given room for decimals rather than being rounded to whole numbers.

Writing MySQL

  • Tables are created as InnoDB with utf8mb4, so emoji and CJK text survive the load.
  • Backslashes are escaped, because MySQL treats them as escape characters by default.
  • Text columns of unknown length become TEXT rather than a guessed VARCHAR that could truncate your data.
  • Inserts are batched, and identifiers are capped at MySQL’s 64-character limit.

What you get

A ZIP containing dump.sql, plus a README with the exact command to load it. If anything about your data needed a judgement call, a _warnings.txt explains it.

Load this dump into MySQL or MariaDB:

  mysql -u USER -p DATABASE < dump.sql

Create the database first if it does not exist:

  mysql -u USER -p -e "CREATE DATABASE DATABASE CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;"

Questions

Is converting SQLite to MySQL free?
Yes. Files up to 10MB convert free with no account. There is a limit of five conversions per day per IP address.
Will my SQLite data keep its types in MySQL?
Yes — that is the point. Whole numbers, decimals, dates and booleans are mapped to real MySQL types rather than everything becoming text. The mapping table above shows exactly what you get.
Do you store my file?
No. The file is written to a temporary directory, converted, and the directory is deleted as soon as your download has been sent.

This conversion, under other names

Convert SQLite to something else

Convert something else to MySQL