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Update RESTORE_FROM_SQLITE.md
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rqlite supports loading a node directly from two sources, either of which can be used to initialize your system from preexisting SQLite data, or to restore from an existing [node backup](https://github.com/rqlite/rqlite/blob/master/DOC/BACKUPS.md):
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- An actual SQLite database file. This is the fastest way to initialize a rqlite node from an existing SQLite database. Even large SQLite databases can be loaded into rqlite in a matter of seconds. This the recommended way to initialize your rqlite node from existing SQLite data. In addition any preexisting SQLite database is completely overwritten by this type of load operation, so it's safe to perform regardless of any data already loaded into your rqlite cluster.
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- SQL statements in text format. This is another convenient manner to initialize a system from an existing SQLite database (or other database). **But if your source database is large, it can be quite slow.** If you find the restore times to be too long, you should first load the SQL statements directly into a SQLite database, and then restore rqlite using the resulting SQLite database file. In constrast to loading an actual SQLite file, the behavior of this type of load operation is **undefined** if there is already data loaded into your rqlite cluster.
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- SQLite dump in text format. This is another convenient manner to initialize a system from an existing SQLite database (or other database). In constrast to loading an actual SQLite file, the behavior of this type of load operation is **undefined** if there is already data loaded into your rqlite cluster. **Note that if your source database is large, the operation can be quite slow.** If you find the restore times to be too long, you should first load the SQL statements directly into a SQLite database, and then restore rqlite using the resulting SQLite database file.
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## Examples
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The following examples show a trivial database being generated by `sqlite3`, the SQLite file being backed up, converted to the corresponding list of SQL commands, and then loaded into a rqlite node listening on localhost using each form.
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