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The prototypical append-only data structure is the log file. Log-structured data structures found in Log-structured file systems and databases work in a similar way: every change (transaction) that happens to the data is logged by the program, and on retrieval the program must combine the pieces of data found in this log file. [9] Blockchains ...
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. The changes are first recorded in the log, which must be written to ...
The web server or database management system also varies. LEMP is a version where Apache has been replaced with the more lightweight web server Nginx. [6] A version where MySQL has been replaced by PostgreSQL is called LAPP, or sometimes by keeping the original acronym, LAMP (Linux / Apache / Middleware (Perl, PHP, Python, Ruby) / PostgreSQL). [7]
Windows, Linux, macOS Based on REST and server-side JavaScript XDB Enterprise Server: Micro Focus: Proprietary DOS, Windows NT, OS/2 YugabyteDB: Yugabyte: Apache 2.0 Linux Zope Object Database: Zope Corporation Zope Public License: Cross-platform For Python, also included in Zope web application server
A log-structured filesystem is a file system in which data and metadata are written sequentially to a circular buffer, called a log.The design was first proposed in 1988 by John K. Ousterhout and Fred Douglis and first implemented in 1992 by Ousterhout and Mendel Rosenblum for the Unix-like Sprite distributed operating system.
A server log is a log file (or several files) automatically created and maintained by a server consisting of a list of activities it performed. A typical example is a web server log which maintains a history of page requests. The W3C maintains a standard format (the Common Log Format) for web server log files, but other proprietary formats ...
ZODB stores Python objects using an extended version of Python's built-in object persistence (pickle). A ZODB database has a single root object (normally a dictionary), which is the only object directly made accessible by the database. All other objects stored in the database are reached through the root object.
Physically, a log is a file listing changes to the database, stored in a stable storage format. If, after a start, the database is found in an inconsistent state or not been shut down properly, the database management system reviews the database logs for uncommitted transactions and rolls back the changes made by these transactions ...