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doc/wal2.md
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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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11
manifest
11
manifest
@@ -1,5 +1,5 @@
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C Reinstate\sassert()\sstatements\sin\sos_unix.c\sthat\swere\sremoved\sto\sallow\swal-mode\nSHARED\slocks\sto\sbe\staken\sover\smore\sthan\sone\slocking\sslot\s(this\sbranch\sno\nlonger\sdoes\sthat,\sso\sthe\sassert()\sstatements\scan\sgo\sback\sin).
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D 2019-01-02T17:00:00.197
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C Add\snew\sfile\sdoc/wal2.md\sto\sthis\sbranch.
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D 2019-01-11T14:58:03.764
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F .fossil-settings/empty-dirs dbb81e8fc0401ac46a1491ab34a7f2c7c0452f2f06b54ebb845d024ca8283ef1
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F .fossil-settings/ignore-glob 35175cdfcf539b2318cb04a9901442804be81cd677d8b889fcc9149c21f239ea
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F Makefile.in d8b254f8bb81bab43c340d70d17dc3babab40fcc8a348c8255881f780a45fee6
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@@ -40,6 +40,7 @@ F doc/F2FS.txt c1d4a0ae9711cfe0e1d8b019d154f1c29e0d3abfe820787ba1e9ed7691160fcd
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F doc/lemon.html 24956ab2995e55fe171e55bdd04f22b553957dc8bb43501dbb9311e30187e0d3
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F doc/pager-invariants.txt 27fed9a70ddad2088750c4a2b493b63853da2710
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F doc/vfs-shm.txt e101f27ea02a8387ce46a05be2b1a902a021d37a
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F doc/wal2.md a807405a05e19a4945c5905a9ffa0fe45b8560dd7572461192501f565c19cdb5
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F ext/async/README.txt e12275968f6fde133a80e04387d0e839b0c51f91
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@@ -1806,7 +1807,7 @@ F vsixtest/vsixtest.tcl 6a9a6ab600c25a91a7acc6293828957a386a8a93
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