可以看出,在1/2/4/6个实例情况下tps还基本上是呈线性增长的,虽说这样不能有绝对的说服性,实际情况中很有可能还有其他需要考虑
前面一篇文章记录的MySQL 5.5对多核cpu的利用率,点击这里()。其实当初测试的主要目的是今天所说的:一台性能较强劲的服务器,跑多个实例对整机的利用率大概会怎么样呢?
测试的机器是DELL R720XD,24核cpu,96G内存,挂了24个SAS盘。测试之前对这24个盘做了2个raid10盘阵,然后对每个raid10盘阵利用GPT做6个逻辑分区,然后做了ext3文件系统。测试工具sysbench,test-mode=complex,每个MySQL 实例 buffer=12G,,测试过程中初始化36G左右数据。在分别跑1/2/4/6个实例的情况下,利用sysbench生成的统计数据求出总的tps,以及rw request /s。下面是曲线图:
可以看出,在1/2/4/6个实例情况下tps还基本上是呈线性增长的,虽说这样不能有绝对的说服性,实际情况中很有可能还有其他需要考虑的因素,但基本上也可以做一个参考,加上前面测过的MySQL 5.5对cpu多核的利用率,随着MySQL功能越来越强,看样子以后买好点的机器跑多个实例,比买普通的机器每台机器上跑单个实例更适合。
另外附上一张MySQL 5.1测试结果图,性能整体比MySQL 5.5低个20%~30%左右,当然我测试过程中os很多参数没调,MySQL本身也很多没调,不过两者是同一个标准测试的:
从上图看出,不完全的线性增长,tps比5.5低了些。哈哈,找个稳定的5.5版本升了吧。

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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