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BerkeleyDB Backend Storage Engine for DURUS project provides a storage engine for DURUS, a persistence system for the Python programming language.
Some advantages compared to Durus standard FileStorage:
- Startup time is negligible.
- You dont need an in-memory index, so your repository size is only limited by storage space, not RAM.
- If you change existing objects, your storage size doesnt increase.
- If you delete objects, those objects are garbage collected in background, slowly, without performance degradation.
- You can still do a full fast collection, if you need it. While this collection is in progress, Durus still serves objects. From time to time, nevertheless, it can be unresponsible for 2 or 3 seconds, while is doing a checkpointing to be able to free database logging diskspace.
- Garbage collection doesnt increase storage size. Neither RAM usage.
- Garbage collection deletes objects using nondurable transactions, very efficiently. If the collection is aborted abruptly (program or machine crashes), the collection will start again from the beginning. If the GC finishes without problems, that state is durable.
- Any object store in the storage will commit a durable transaction, including all objects released in the background garbage collector, along the way.
- Garbage collection time is proportional to garbage, not repository size.
There are some disadvantages, nevertheless:
- IMPORTANT: This backend uses reference counting to decide when an object is garbage and can be collected. So, if you have cycles in your data structures, you **MUST*BREAK** them before releasing the objects.
- Failing to do that will leak diskspace. It is possible that in a future release we can collect cycles, but try to avoid that pattern.
- Leaking objects will grow the diskspace, but **NO** corruption or malfunction will happen. No other secondary effect.
- Although this code could work on Windows, I havent checked it. Absolutely no garantee!.
- Sometimes this backend can become irresponsible for a couple of seconds. It is busy doing a checkpoint to recycle database logging space. The pause should be sort, nevertheless.
- Dont use this storage backend over NFS, at least you know what is going on.
- Since we are using BerkeleyDB as the backend:
- You should be experienced with BerkeleyDB deployments.
- Beware when updating Python or BerkeleyDB. In particular, BerkeleyDB is known by breaking (but they DOCUMENT!) binary compatibility between versions. In this case, they ALWAYS document the procedure to do a controlled upgrade, so dont worry. But take note of the risk.
- To do a trustable backup, you should follow instructions in BerkeleyDB documentation:
- http://www.sleepycat.com/docs/ref/transapp/reclimit.html
- http://www.sleepycat.com/docs/ref/transapp/archival.html
- http://www.sleepycat.com/docs/utility/db_hotbackup.html
- In Python you can use the standard "bsddb" or the up-to-date "bsddb3" bindings (which will be included in new python versions). This product will try to use always the more recent BerkeleyDB bindings. Be careful about BerkeleyDB version changes when you update the bindings.
- Since BerkeleyDB files are binary structures, a corrupt database can be unrecoverable. Be diligent and careful with your backups.
You can use this product both as a normal (local) filestorage, or a server (remote) storage system, just like the usual Durus FileStorage.
Enhancements:
- Compatibility with Durus 3.7 was added.

The Boehm-Demers-Weiser conservative garbage collector can be used as a garbage collecting replacement for C malloc or C++ new.
Boehm-Demers-Weiser Conservative Garbage Collector allows you to allocate memory basically as you normally would, without explicitly deallocating memory that is no longer useful. The collector automatically recycles memory when it determines that it can no longer be otherwise accessed.
The collector is also used by a number of programming language implementations that either use C as intermediate code, want to facilitate easier interoperation with C libraries, or just prefer the simple collector interface.
Alternatively, the garbage collector may be used as a leak detector for C or C++ programs, though that is not its primary goal.
Typically several versions will be available. Usually you should first try to use gc_source/gc.tar.gz, which is normally an older, more stable version.
If that fails, try the latest explicitly numbered version in gc_source/. Later versions may contain additional features, platform support, or bug fixes, but are likely to be less well tested. Note that versions containing the letters alpha are even less well tested than others, especially on non-HP platforms.
A slightly older version of the garbage collector is now also included as part of the GNU compiler distribution.
The collector uses a mark-sweep algorithm. It provides incremental and generational collection under operating systems which provide the right kind of virtual memory support. (Currently this includes SunOS[45], IRIX, OSF/1, Linux, and Windows, with varying restrictions.)
It allows finalization code to be invoked when an object is collected. It can take advantage of type information to locate pointers if such information is provided, but it is usually used without such information. ee the README and gc.h files in the distribution for more details.
The garbage collector distribution includes a C string (cord) package that provides for fast concatenation and substring operations on long strings. A simple curses- and win32-based editor that represents the entire file as a cord is included as a sample application.
Performance of the nonincremental collector is typically competitive with malloc/free implementations. Both space and time overhead are likely to be only slightly higher for programs written for malloc/free (see Detlefs, Dosser and Zorns Memory Allocation Costs in Large C and C++ Programs.)
For programs allocating primarily very small objects, the collector may be faster; for programs allocating primarily large objects it will be slower. If the collector is used in a multithreaded environment and configured for thread-local allocation, it may in some cases significantly outperform malloc/free allocation in time.
We also expect that in many cases any additional overhead will be more than compensated for by decreased copying etc. if programs are written and tuned for garbage collection.
Enhancements:
- The C code now requires at least C89.
- The live data in the heap is now counted, helping to make the heap expansion heuristic more robust.
- Thread local allocation support was enhanced.
- Some obsolete platform support such as old-style Solaris threads was removed.
- Some new platform support was added.
- Various bugs were fixed.

Earth is under siege by the Strogg, a barbaric alien race moving through the universe consuming, recycling and annihilating any civilization in their path. In a desperate attempt to survive, an armada of Earths finest warriors is sent to take the battle to the Strogg home planet.
You are Matthew Kane, an elite member of Rhino Squad and Earths valiant invasion force. Fight alone, with your squad, or in hover tanks and mechanized walkers as you engage in a heroic mission to the heart of the Strogg war machine.
Battle through the beginning of the game as a combat marine, then after your capture, as a marine-turned-Strogg with enhanced abilities and the power to turn the tide of the war.
Built on id Softwares revolutionary DOOM 3 technology, QUAKE 4 also features fast-paced multiplayer competition modeled after the speed, feel, and style of QUAKE III Arena.
Quake 4 DEMO is released by Id Software.
Main features:
- Highly anticipated sequel to id softwares award-winning QUAKE II.
- Diversity of combat. Fight through solo missions as well as buddy and squad-based operations; or pilot heavy walkers and hover tanks through outdoor battles and epic firefights.
- Being captured and converted to Strogg becomes Earths only hope for defeating the Strogg.
- Player is not alone - he and his squad are part of a massive invasion force.
- Utilizes the industry leading DOOM 3 technology to create an unparalleled visual and aural experience.
- Arena-style multiplayer that allows players to play as Strogg or Marine in deathmatch, team deathmatch and capture-the-flag modes.
Enhancements:
- n addition to a number of new changes and updates, this 1.1 Point Release also includes the changes from update 1.0.4.0, beta 1.0.5.0 and beta 1.0.5.2. If you have not previously updated QUAKE 4, this update will bring your installation completely up to date. If you have previously installed an earlier update, this update can be installed over the earlier update(s) without problems - there is no need to re-install previous updates released through the id Software website. Doing so may adversely affect the proper functionality of your installation.

ServerKit project is a SDK for building server programs on Linux.
It consists of:
server
A core program, which loads application-specific modules to perform unique server duties. This program is also responsible for all configuration parsing and creation of database pools, which are made available to the modules.
libserver
A shared library, which provides base functionality for the server program, in addition to implementing the ServerKit API
API
A light interface provided by libserver supplying the following (at this time):
Thread pools & delayed work management
Thread-safe fixed-unit-size heaps
Thread-safe queues
Logging via either libc-syslog, or optionally more efficient direct UDP-based syslog-compatible logging
IPv4 address based connection counting (to be added still)
Lightweight & efficient sequence logging
Enhancements:
- This release fixes a bug in the reader-writer lock atomic read-to-write conversion interface and implementation.
- The API documentation has also been updated to reflect the change.

cowdancer allows copy-on-write file access. You can copy a full tree using hard links, and cowdancer will create a new copy when you need to write to a file.
cowdancer is completely implemented in userland, and should run on most Linux filesystems.
Enhancements:
- This release supports spaces in filenames.

DARE is a small Linux kernel patch to VFS (Virtual Filesystem) which transparently moves files into a special directory on each filesystem instead of removing them. DARE works similar like Novell Netware Data Recovery or MS Windows Recycle Bin.

DARE is independent on filesystem type, so it can be used without constraints on almost every filesystem. Deleted files are collected in directory deleted on the filesystem root dir. This directory have to be created manualy on each filesystem on which you want the DARE functionality. Filesystem without directory deleted works without DARE.

Deleted files are grouped into subdirectories by N hours. The N is configurable at the kernel compiling time. This simplifies removing of old deleted files from directory deleted. Subdirectories are named numericaly by UNIX time. Aditionaly to each subdirectory, an informational file is created.

This file is named the same way as corresponding subdirectory and aditionaly the file has suffix .inf. Informational file contains informations about deleted files, directories, special files including original pathname, permissions, deletion time and id of user who deleted this file.

There are also user space utilities for dealing with deleted files and content of directory deleted. There are these utilities:

lsdel - list of files deleted in actual directory
salvage - recovery deleted files
purge - utterly remove deleted files
deleted - daemon watching disks free space and removing old deleted files to keep disk free space in defined boundaries.