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  2. Write-ahead logging - Wikipedia

    en.wikipedia.org/wiki/Write-ahead_logging

    In computer science, write-ahead logging (WAL) is a family of techniques for providing atomicity and durability (two of the ACID properties) in database systems. [1]A write ahead log is an append-only auxiliary disk-resident structure used for crash and transaction recovery.

  3. Algorithms for Recovery and Isolation Exploiting Semantics

    en.wikipedia.org/wiki/Algorithms_for_Recovery...

    Write-ahead logging: Any change to an object is first recorded in the log, and the log must be written to stable storage before changes to the object are written to disk. Repeating history during Redo: On restart after a crash, ARIES retraces the actions of a database before the crash and brings the system back to the exact state that it was in ...

  4. Durability (database systems) - Wikipedia

    en.wikipedia.org/wiki/Durability_(database_systems)

    In particular, the logging mechanism is called write-ahead log (WAL) and allows durability by buffering changes to the disk before they are synchronized from the main memory. In this way, by reconstruction from the log file, all committed transactions are resilient to system-level failures, because they can be redone.

  5. Replication (computing) - Wikipedia

    en.wikipedia.org/wiki/Replication_(computing)

    Write-ahead log (WAL) shipping: The storage engine's low-level write-ahead log is replicated, ensuring identical data structures across nodes. Logical (row-based) replication : Changes are described at the row level using a dedicated log format, providing greater flexibility and independence from storage engine internals.

  6. Log-structured merge-tree - Wikipedia

    en.wikipedia.org/wiki/Log-structured_merge-tree

    Such tuning involves writing data in a sequential manner as opposed to as a series of separate random access requests. This optimization reduces seek time in hard-disk drives (HDDs) and latency in solid-state drives (SSDs). Diagram illustrating compaction of data in a log-structured merge tree. Most LSM trees used in practice employ multiple ...

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