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1. MySQL :: Tech Resources

Tech Resources Need to find a community mailing list to get your questions answered? Looking for related MySQL sites and
» http://dev.mysql.com/tech-resources/

2. MySQL :: Benchmarks

Benchmarks The MySQL database consistently scores among the top for performance, throughput and scalability. So it's no surprise that MySQL is used for some of the most demanding, high volume, business-critical applications at companies like Associated Press, Cox Communications, Google, Lufthansa, MIT Lincoln Labs, NASA, Sabre Holdings, Yahoo and others. Companies have implemented large "scale out" web and data warehouse applications running MySQL on dozens, hundreds and even thousands of commodity Intel an
» http://www.mysql.com/why-mysql/benchmarks/

3. MySQL :: MySQL Performance Benchmarks

MySQL Performance Benchmarks To meet the service levels demanded by your users, your database-based application needs to deliver high performance and scalability. In addition, it requires complete data availability, which includes fault tolerance, service uptime, and throughput. In short, performance and service uptime are the two most important criteria to ensure an application operates at expected levels. This paper discusses the performance of MySQL. It highlights the database elements that can be measur
» http://www.mysql.com/why-mysql/white-papers/performance.php

4. MySQL :: February 2002 eWeek Benchmarks

February 2002 eWeek Benchmarks In a February 2002 database benchmark test performed by Ziff Davis Media Inc., the company behind PC Magazine, eWeek and other well-known publications, the MySQL database server stands out as a winner. The MySQL server is presented as having the overall best performance and scalability along with Oracle9i. Also, the MySQL server excelled in stability, ease of tuning and connectivity. Throughput is in returned Web pages per second from the application server. Number of users is
» http://www.mysql.com/why-mysql/benchmarks/eweek.html

5. MySQL :: MySQL Cluster High Scalability DBT2 Benchmarks

MySQL Cluster High Scalability DBT2 Benchmarks MySQL AB ran a set of benchmarks of MySQL Cluster Carrier Grade Edition against the DBT2 benchmark. Ultimately, MySQL Cluster was able to reach 100,000 transactions per minute in an 8-node configuration. This showed impressive scaling improvements when compared to a 2-node cluster which was able to obtain 26,000 transactions per minute. These performance improvements were realized through the use of new Multi Core Intel Xeon servers based on the Intel Core T mi
» http://www.mysql.com/why-mysql/white-papers/mysql_cge_benchmarks_wp_april2007.php

6. MySQL :: A Look at MySQL 5.0 Performance Benchmarks

A Look at MySQL 5.0 Performance Benchmarks There is little doubt that two of the top requirements for any serious database management system are availability and performance. Not coincidentally, two of the three MySQL AB software priorities are reliability and performance (with the third being ease-of-use). MySQL makes it a mission to produce high-performance database software that more than meets the needs of today’s most demanding enterprise-class applications. The reputation that MySQL has earned as a fa
» http://www.mysql.com/why-mysql/white-papers/mysql_wp_benchmarks_50.php

7. MySQL :: MySQL Helps Set World Record in Java Application Server Benchmarks

MySQL Helps Set World Record in Java Application Server Benchmarks High-Speed Open Source Software Blaze Past Proprietary Solutions CUPERTINO, Calif. -- June 12, 2006 -- A popular application server benchmark, featuring a complete open source software stack with MySQL 5.0 database, the Solaris™ 10 Operating System, and Sun Java™ Systems Application Server 9.0 Platform Edition (Project GlassFish SM) has shattered the competition by offering up to 8.6 times lower cost of acquisition than the comparable soluti
» http://www.mysql.com/news-and-events/press-release/release_2006_26.html

8. MySQL :: MySQL 5.0 Reference Manual :: 7.1.5 Using Your Own Benchmarks

7.1.5. Using Your Own Benchmarks You should definitely benchmark your application and database to find out where the bottlenecks are. After fixing one bottleneck (or by replacing it with a “ dummy ” module), you can proceed to identify the next bottleneck. Even if the overall performance for your application currently is acceptable, you should at least make a plan for each bottleneck and decide how to solve it if someday you really need the extra performance. For examples of portable benchmark programs, loo
» http://dev.mysql.com/doc/refman/5.0/en/custom-benchmarks.html

9. MySQL :: MySQL 5.1 Reference Manual :: 7.1.5 Using Your Own Benchmarks

7.1.5. Using Your Own Benchmarks You should definitely benchmark your application and database to find out where the bottlenecks are. After fixing one bottleneck (or by replacing it with a “ dummy ” module), you can proceed to identify the next bottleneck. Even if the overall performance for your application currently is acceptable, you should at least make a plan for each bottleneck and decide how to solve it if someday you really need the extra performance. For examples of portable benchmark programs, loo
» http://dev.mysql.com/doc/refman/5.1/en/custom-benchmarks.html

10. MySQL :: MySQL 6.0 Reference Manual :: 7.1.5 Using Your Own Benchmarks

7.1.5. Using Your Own Benchmarks You should definitely benchmark your application and database to find out where the bottlenecks are. After fixing one bottleneck (or by replacing it with a “ dummy ” module), you can proceed to identify the next bottleneck. Even if the overall performance for your application currently is acceptable, you should at least make a plan for each bottleneck and decide how to solve it if someday you really need the extra performance. For examples of portable benchmark programs, loo
» http://dev.mysql.com/doc/refman/6.0/en/custom-benchmarks.html

11. MySQL :: MySQL Helps Set New World Records for Speed & Price/Performance in Independent Benchmarks

MySQL Helps Set New World Records for Speed & Price/Performance in Independent Benchmarks Open Source Database, BEA WebLogic Application Server & Sun Hardware Team Beats SPEC Results from Oracle, Microsoft & IBM A MySQL® database running with BEA's WebLogic application server on Sun Microsystems' Sun Fire hardware has set new world records for both speed and price/performance, according to independent benchmark test results published this week at http://www.spec.org/jAppServer2002/ . Administered by the Sta
» http://www.mysql.com/news-and-events/press-release/release_2004_27.html

12. MySQL :: MySQL 5.1 with Maria Reference Manual :: 7.1.5 Using Your Own Benchmarks

7.1.5. Using Your Own Benchmarks You should definitely benchmark your application and database to find out where the bottlenecks are. After fixing one bottleneck (or by replacing it with a “ dummy ” module), you can proceed to identify the next bottleneck. Even if the overall performance for your application currently is acceptable, you should at least make a plan for each bottleneck and decide how to solve it if someday you really need the extra performance. For examples of portable benchmark programs, loo
» http://dev.mysql.com/doc/refman/5.1-maria/en/custom-benchmarks.html

13. MySQL :: MySQL Cluster & Dolphin Express High Scalability DBT2 Benchmarks on next-generation Intel Xeon processors

MySQL Cluster & Dolphin Express High Scalability DBT2 Benchmarks on next-generation Intel Xeon processors Download the White Paper: MySQL Cluster High Scalability DBT2 Benchmarks » MySQL AB ran a set of benchmarks of MySQL Cluster Carrier Grade Edition against the DBT2 benchmark. Ultimately, MySQL Cluster was able to reach 100,000 transactions per minute in an 8-node configuration. This showed impressive scaling improvements when compared to a 2-node cluster which was able to obtain 26,000 transactions per
» http://www.mysql.com/why-mysql/benchmarks/CGE-Intel-Dolphin.html

14. MySQL :: MySQL 3.23, 4.0, 4.1 Reference Manual :: 7.1.5 Using Your Own Benchmarks

7.1.5. Using Your Own Benchmarks You should definitely benchmark your application and database to find out where the bottlenecks are. After fixing one bottleneck (or by replacing it with a “ dummy ” module), you can proceed to identify the next bottleneck. Even if the overall performance for your application currently is acceptable, you should at least make a plan for each bottleneck and decide how to solve it if someday you really need the extra performance. For examples of portable benchmark programs, loo
» http://dev.mysql.com/doc/refman/4.1/en/custom-benchmarks.html

15. MySQL :: MySQL Developer News (2008)

MySQL Developer News (2008) Sun Introduces MySQL Tech Support for Amazon EC2 5 May 2008 — Sun Microsystems, Inc. today announced two new offerings that will significantly expand customer choice by providing users with access to Sun's innovative open source software running on the Amazon Web Services platform. Sun has added premium technical support for its MySQL™ database running on Linux and on the Amazon Elastic Compute Cloud (Amazon EC2) to its global support and services offerings. Sun Introduces MySQL
» http://dev.mysql.com/tech-resources/news/

16. MySQL :: ГЌГ Г·ГЁГГ Гї Г°Г ГЎГ®ГІГ ГІГј Г± MySQL

... Г°Г ГЎГ®ГІГ ГІГј Г± MySQL Перевод статьи: © Олег Иманский, poxuxol@rambler.ru (ссылка на оригинал статьи: http://dev.mysql.com/tech-resources/articles/mysql_intro.html ) MySQL AB преследует цель дать читателю понимание основных концепций сервера баз данных
» http://dev.mysql.com/tech-resources/articles/mysql_intro_rus.html

17. MySQL :: MySQL 5.1 Reference Manual :: 7.2 Optimizing SELECT and Other Statements

7.2. Optimizing SELECT and Other Statements [ +/- ] 7.2.1. Optimizing Queries with EXPLAIN 7.2.2. Estimating Query Performance 7.2.3. Speed of SELECT Queries 7.2.4. WHERE Clause Optimization 7.2.5. Range Optimization 7.2.6. Index Merge Optimization 7.2.7. IS NULL Optimization 7.2.8. LEFT JOIN and RIGHT JOIN Optimization 7.2.9. Nested Join Optimization 7.2.10. Outer Join Simplification 7.2.11. ORDER BY Optimization 7.2.12. GROUP BY Optimization 7.2.13. DISTINCT Optimization 7.2.14. Optimizing IN / =ANY Subqu
» http://dev.mysql.com/doc/refman/5.1/en/query-speed.html

18. MySQL :: MySQL 5.0 Reference Manual :: 7.2 Optimizing SELECT and Other Statements

7.2. Optimizing SELECT and Other Statements [ +/- ] 7.2.1. Optimizing Queries with EXPLAIN 7.2.2. Estimating Query Performance 7.2.3. Speed of SELECT Queries 7.2.4. WHERE Clause Optimization 7.2.5. Range Optimization 7.2.6. Index Merge Optimization 7.2.7. IS NULL Optimization 7.2.8. LEFT JOIN and RIGHT JOIN Optimization 7.2.9. Nested Join Optimization 7.2.10. Outer Join Simplification 7.2.11. ORDER BY Optimization 7.2.12. GROUP BY Optimization 7.2.13. DISTINCT Optimization 7.2.14. Optimizing IN / =ANY Subqu
» http://dev.mysql.com/doc/refman/5.0/en/query-speed.html

19. MySQL :: MySQL 6.0 Reference Manual :: 7.2 Optimizing SELECT and Other Statements

7.2. Optimizing SELECT and Other Statements [ +/- ] 7.2.1. Optimizing Queries with EXPLAIN 7.2.2. Estimating Query Performance 7.2.3. Speed of SELECT Queries 7.2.4. WHERE Clause Optimization 7.2.5. Range Optimization 7.2.6. Index Merge Optimization 7.2.7. IS NULL Optimization 7.2.8. LEFT JOIN and RIGHT JOIN Optimization 7.2.9. Nested Join Optimization 7.2.10. Outer Join Simplification 7.2.11. ORDER BY Optimization 7.2.12. GROUP BY Optimization 7.2.13. DISTINCT Optimization 7.2.14. Optimizing IN / =ANY Subqu
» http://dev.mysql.com/doc/refman/6.0/en/query-speed.html

20. MySQL :: MySQL 5.1 with Maria Reference Manual :: 7.2 Optimizing SELECT and Other Statements

7.2. Optimizing SELECT and Other Statements [ +/- ] 7.2.1. Optimizing Queries with EXPLAIN 7.2.2. Estimating Query Performance 7.2.3. Speed of SELECT Queries 7.2.4. WHERE Clause Optimization 7.2.5. Range Optimization 7.2.6. Index Merge Optimization 7.2.7. IS NULL Optimization 7.2.8. LEFT JOIN and RIGHT JOIN Optimization 7.2.9. Nested Join Optimization 7.2.10. Outer Join Simplification 7.2.11. ORDER BY Optimization 7.2.12. GROUP BY Optimization 7.2.13. DISTINCT Optimization 7.2.14. Optimizing IN / =ANY Subqu
» http://dev.mysql.com/doc/refman/5.1-maria/en/query-speed.html

1 to 20 of 489

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