Códice Software ES OpenSCADA: Home The Apache Cassandra Project Concurrent Versions System The Concurrent Versions System (CVS), also known as the Concurrent Versioning System, is a client-server free software revision control system in the field of software development. A version control system keeps track of all work and all changes in a set of files, and allows several developers (potentially widely separated in space and time) to collaborate. Dick Grune developed CVS as a series of shell scripts in July 1986. In addition to commercial software developers, CVS became popular with the open source software world and was released under the GNU General Public License. While there was regular development to add features and fix bugs in the past, including regular builds and test results, there have been no new releases since 2008. The product is mature: new releases are not produced until there are requests for new features or bug reports. Features Anonymous CVS Many open-source projects allow "anonymous read access", a feature pioneered by OpenBSD.
List of revision control software This is a list of notable software for revision control. Local data model In the local-only approach, all developers must use the same computer system. These software often manage single files individually and are largely replaced or embedded within newer software. Open source Client-server model In the client-server model, developers use a shared single repository. Open source Proprietary Distributed model In the distributed approach, each developer works directly with his or her own local repository, and changes are shared between repositories as a separate step. Open source Proprietary BitKeeper – was used in Linux kernel development (2002 – April 2005)Code Co-op – peer-to-peer version control system (can use e-mail for synchronization)Sun WorkShop TeamWare – designed by Larry McVoy, creator of BitKeeperPlastic SCM – by Codice Software, Inc Notes See also External links
Sedna XML Database Home | Pidgin Apache Hadoop! Git - Fast Version Control System KB Article: Useful Queries for TRACK2SQL There are several ways to track various server problems using TRACK2SQL, and this article discusses some of the most common queries you might use. Times returned by these queries are in milliseconds. Process IO Consumption The following SQL statement returns user, command and "IO used", to show which processes consumed the most IO. SELECT user,cmd,SUM(pagesIn+pagesOut) as io FROM tableUse JOIN process USING ( processKey) GROUP BY tableUse.processKey ORDER BY io DESC LIMIT 25; Example Output from this SQL statement: Longest Compute Phase The following SQL statement returns a list of users, commands, and the length of the compute phase to show which processes had the longest compute phase: SELECT user,cmd, MAX(readHeld+writeHeld)-MAX(readWait+writeWait) as compute FROM tableUse JOIN process USING (processKey) GROUP BY tableUse.processKey ORDER BY compute DESC LIMIT 25; Example output from the SQL statement. Average Wait Time SELECT AVG(readWait+writeWait) as wait FROM tableUse; Read/Write Percentage