最近发现一个奇怪的现象,数据库报告上看负载很高,但是cpu和等待事件都很低,不知道消耗的资源跑到哪里去了? Snap Id Snap Time Sessions Cursors/Session Begin Snap: 5073 17-5月 -14 04:00:20 127 78.8 End Snap: 5074 17-5月 -14 05:13:36 363 19.5 El
最近发现一个奇怪的现象,数据库报告上看负载很高,但是cpu和等待事件都很低,不知道消耗的资源跑到哪里去了?
Snap Id |
Snap Time | Sessions | Cursors/Session | |
---|---|---|---|---|
Begin Snap: | 5073 | 17-5月 -14 04:00:20 | 127 | 78.8 |
End Snap: | 5074 | 17-5月 -14 05:13:36 | 363 | 19.5 |
Elapsed: | 73.27 (mins) | |||
DB Time: | 1,196.25 (mins) |
Top 5 Timed Events
Event | Waits | Time(s) | Avg Wait(ms) | % Total Call Time | Wait Class |
---|---|---|---|---|---|
latch: library cache | 3,174 | 6,933 | 2,184 | 9.7 | Concurrency |
latch free | 977 | 6,530 | 6,684 | 9.1 | Other |
latch: shared pool | 4,021 | 1,929 | 480 | 2.7 | Concurrency |
cursor: pin S wait on X | 82,902 | 1,620 | 20 | 2.3 | Concurrency |
CPU time | 1,073 | 1.5 |
Service Statistics
- ordered by DB Time
Service Name DB Time (s) DB CPU (s) Physical Reads Logical Reads SYS$USERS 67,080.30 454.30 43,604 15,183,498 scmis 4,523.20 588.30 0 22,868,201 SYS$BACKGROUND 0.00 0.00 109 77,783 可以看到数据库软件消耗的资源不多。
找到问题症结:再看servicestatistics总的SYS$USERS消耗最多,这个是何方圣神呢?官方文档的解释:the SYS$USERS serviceis the default service name used when a user session is established withoutexplicitly identifying its service name。就是说SYS$USERS这是一个缺省的服务名,当用户的session建立的时候没有明确的标示符。
那说明此时有其他的服务在数据库服务器上跑,只有用操作系统层面上做诊断,用shell写一个top的脚本监控一下,是哪个进程导致。最后诊断出是数据库服务器在某个时间段不响应,简单的说是硬件的问题。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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