第三章使用系统函数、存储过程和DBCC SQLPERF命令来监控SQLS
本文为这个系列最后一篇。将是如何使用 DBCC 命令来监控 SQLServer 日志空间的使用情况。 前言: 每个数据库都必须有事务日志。事务日志记录每个 DML 操作,并应用于 SQLServer 的数据库中,如果恢复模式为 FULL 并经常有 DML 操作,日志将增长得非常快。几
本文为这个系列最后一篇。将是如何使用DBCC命令来监控SQLServer日志空间的使用情况。
前言:
每个数据库都必须有事务日志。事务日志记录每个DML操作,并应用于SQLServer的数据库中,如果恢复模式为FULL并经常有DML操作,日志将增长得非常快。几时恢复模式为simple,当数据库处于事务复制或者合并复制时,日志通常会增长。如果日志不是经常备份且日志文件的增长没有受到限制的话,将有可能耗光你所有的硬盘空间然后造成数据库宕机。作为DBA,应该经常监控日志的使用情况以避免问题的发生。
作为DBA,其中一个重要的责任就是监控日志文件的大小,以确保空间不会被耗光导致数据库服务器宕机。
SQLServer提供了不同的DBCC命令供DBA使用,其中DBCC SQLPERF是其中一个用于监控日志大小的常用命令,在本文中,将演示使用这个命令。除了获取日志的信息,还可以用于重置等待和闩锁状态。
DBCC SQLPERF用于监控日志使用情况时,只需要传入一个参数LOGSPACE。但是它也接受其他命令。
DBCC SQLPERF(‘logspace’)命令返回三个列:DatabaseName、LogSize(MB)、LogSpaceUsed(%)
步骤:
1、 打开SSMS然后新开一个查询窗口。
2、 在查询窗口中输入以下代码:
USE tempdb GO IF OBJECT_ID('dbo.#tbl_DBLogSpaceUsage') IS NOT NULL BEGIN DROP TABLE dbo.#tbl_DBLogSpaceUsage END CREATE TABLE dbo.#tbl_DBLogSpaceUsage ( DatabaseName NVARCHAR(128) , LogSize NVARCHAR(25) , LogSpaceUsed NVARCHAR(25) , [Status] TINYINT ) INSERT INTO dbo.#tbl_DBLogSpaceUsage EXEC ( 'DBCC SQLPERF(LOGSPACE)' ) --查询全部结果: SELECT DatabaseName , LogSize , LogSpaceUsed , [Status] FROM dbo.#tbl_DBLogSpaceUsage GO --查询特定数据库的结果: SELECT DatabaseName , LogSize AS LogSizeInMB , LogSpaceUsed LogspaceUsed_In_Percent , [Status] FROM dbo.#tbl_DBLogSpaceUsage WHERE Databasename = 'AdventureWorks' GO
分析:
本例中创建了一个临时表,然后调用DBCC SQLPERF来把数据插入表中。由于DBCC命令需要用EXEC来执行,所以使用动态SQL来实现。根据返回的结果可以预测是否有必要马上执行日志备份操作(完整备份不截断日志,也就不会释放日志空间)。
扩展信息:
可以改进这个语句来获取汇总值,在一段时间之后,表就存放了日志使用信息的历史记录。可以用于分析日志的增长情况。

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.

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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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