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99 lines
4.6 KiB
Markdown
99 lines
4.6 KiB
Markdown
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Wal2 Mode Notes
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===============
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## Activating/Deactivating Wal2 Mode
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"Wal2" mode is very similar to "wal" mode. To change a database to wal2 mode,
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use the command:
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>
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PRAGMA journal_mode = wal2;
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It is not possible to change a database directly from "wal" mode to "wal2"
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mode. Instead, it must first be changed to rollback mode. So, to change a wal
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mode database to wal2 mode, the following two commands may be used:
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>
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PRAGMA journal_mode = delete;
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PRAGMA journal_mode = wal2;
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A database in wal2 mode may only be accessed by versions of SQLite compiled
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from this branch. Attempting to use any other version of SQLite results in an
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SQLITE_NOTADB error. A wal2 mode database may be changed back to rollback mode
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(making it accessible by all versions of SQLite) using:
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>
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PRAGMA journal_mode = delete;
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## The Advantage of Wal2 Mode
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In legacy wal mode, when a writer writes data to the database, it doesn't
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modify the database file directly. Instead, it appends new data to the
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"<database>-wal" file. Readers read data from both the original database
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file and the "<database>-wal" file. At some point, data is copied from the
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"<database>-wal" file into the database file, after which the wal file can
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be deleted or overwritten. Copying data from the wal file into the database
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file is called a "checkpoint", and may be done explictly (either by "PRAGMA
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wal_checkpoint" or sqlite3_wal_checkpoint_v2()), or
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automatically (by configuring "PRAGMA wal_autocheckpoint" - this is the
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default).
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Checkpointers do not block writers, and writers do not block checkpointers.
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However, if a writer writes to the database while a checkpoint is ongoing,
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then the new data is appended to the end of the wal file. This means that,
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even following the checkpoint, the wal file cannot be overwritten or deleted,
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and so all subsequent transactions must also be appended to the wal file. The
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work of the checkpointer is not wasted - SQLite remembers which parts of the
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wal file have already been copied into the db file so that the next checkpoint
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does not have to do so again - but it does mean that the wal file may grow
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indefinitely if the checkpointer never gets a chance to finish without a
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writer appending to the wal file. There are also circumstances in which
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long-running readers may prevent a checkpointer from checkpointing the entire
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wal file - also causing the wal file to grow indefinitely in a busy system.
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Wal2 mode does not have this problem. In wal2 mode, wal files do not grow
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indefinitely even if the checkpointer never has a chance to finish
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uninterrupted.
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In wal2 mode, the system uses two wal files instead of one. The files are named
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"<database>-wal" and "<database>-wal2", where "<database>" is of
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course the name of the database file. When data is written to the database, the
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writer begins by appending the new data to the first wal file. Once the first
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wal file has grown large enough, writers switch to appending data to the second
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wal file. At this point the first wal file can be checkpointed (after which it
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can be overwritten). Then, once the second wal file has grown large enough and
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the first wal file has been checkpointed, writers switch back to the first wal
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file. And so on.
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## Application Programming
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From the point of view of the user, the main differences between wal and
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wal2 mode are to do with checkpointing:
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* In wal mode, a checkpoint may be attempted at any time. In wal2
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mode, the checkpointer has to wait until writers have switched
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to the "other" wal file before a checkpoint can take place.
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* In wal mode, the wal-hook (callback registered using
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sqlite3_wal_hook()) is invoked after a transaction is committed
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with the total number of pages in the wal file as an argument. In wal2
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mode, the argument is either the total number of uncheckpointed pages in
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both wal files, or - if the "other" wal file is empty or already
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checkpointed - 0.
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Clients are recommended to use the same strategies for checkpointing wal2 mode
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databases as for wal databases - by registering a wal-hook using
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sqlite3_wal_hook() and attempting a checkpoint when the parameter
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exceeds a certain threshold.
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However, it should be noted that although the wal-hook is invoked after each
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transaction is committed to disk and database locks released, it is still
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invoked from within the sqlite3_step() call used to execute the "COMMIT"
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command. In BEGIN CONCURRENT systems, where the "COMMIT" is often protected by
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an application mutex, this may reduce concurrency. In such systems, instead of
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executing a checkpoint from within the wal-hook, a thread might defer this
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action until after the application mutex has been released.
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