今天要查询自己的装的sqlserver2008 是否是R2版本,搜索了下,发现很多人查询此问题,现在记录如下,通过版本命令查询 同时也了解了哥哥sql server的对应版本好,一看就非常清晰了,记录下 1、查看 SQL Server 2005/2008 版本号 select serverproperty('produ
今天要查询自己的装的sqlserver2008 是否是R2版本,搜索了下,发现很多人查询此问题,现在记录如下,通过版本命令查询
同时也了解了哥哥sql server的对应版本好,一看就非常清晰了,记录下
1、查看 SQL Server 2005/2008 版本号
select serverproperty('productversion') ,serverproperty('productlevel') ,serverproperty('edition')
下面是 SQL Server 2005 版本号查询结果信息:
version level edition
———— —- ——————-
9.00.3042.00 SP2 Enterprise Edition
下表是 SQL Server 2005 版本号信息:
SQL Server 2005 版本号 SQL Server 2005 版本描述
———————– ——————————
2005.90.1399 RTM (Release to Manufacturing)
2005.90.2047 SQL Server 2005 SP1
2005.90.3042 SQL Server 2005 SP2
2005.90.4035 SQL Server 2005 SP3
2005.90.5000 SQL Server 2005 SP4
下表是 SQL Server 2008 版本号信息:
SQL Server 2008版本号 SQL Server 2008 版本描述
———————– ——————————
10.0.1600.22 RTM
10.00.2531.00 SQL Server 2008 SP1
10.00.4000.00 SQL Server 2008 SP2
10.50.1600.1 SQL Server 2008 R2 (RTM)
二、查看 SQL Server 2000 版本号
select serverproperty('productversion') ,serverproperty('productlevel'),serverproperty('edition')
下面是 SQL Server 2000 版本号查询结果信息:
version level edition
———— —- ——————-
8.00.2039 SP4 Enterprise Edition
下表是 SQL Server 2000 各个版本号信息:
SQL Server 2000 版本号 SQL Server 2000 版本描述
———————– ——————————
2000.80.194.0 RTM (Release to Manufacturing)
2000.80.384.0 SQL Server 2000 SP1
2000.80.534.0 SQL Server 2000 SP2
2000.80.760.0 SQL Server 2000 SP3/SP3a
2000.8.00.2039 SQL Server 2000 SP4
查看 SQL Server 版本号的通用方法:@@version
select @@version
Microsoft SQL Server 2000 – 8.00.2039 (Intel X86)
May 3 2005 23:18:38 Copyright (c) 1988-2003 Microsoft Corporation
Enterprise Edition on Windows NT 5.2 (Build 3790: Service Pack 1)
Microsoft SQL Server 2005 – 9.00.3042.00 (Intel X86)
Feb 9 2007 22:47:07 Copyright (c) 1988-2005 Microsoft Corporation
Enterprise Edition on Windows NT 5.2 (Build 3790: Service Pack 2)
可以看出,@@version 版本号结果中还包含 OS 版本信息。
下面的概念对于理解 SQL Server 的并行实例的 SQL Server 行为以及特定于 SQL Server 2008 R2 和 SQL Server 2008 并行实例的情况十分有用。
SQL Server 的标准产品版本格式为 MM.nn.bbbb.rr,其中每一片断定义为:
MM – 主版本
nn – 次版本
bbbb – 内部版本号
rr – 内部修订版本号
在 SQL Server 的每个主版本或次版本中,都会增加该版本号,以便与之前的版本区分。这一对版本的更改出于多种目的。包括在用户界面中显示版本信息,控制在升级期间替换文件的方式,并且还作为后续版本间在功能上进行区分的机制。
SQL Server 2008 R2 是 SQL Server 2008 的一个次要升级。这意味着它与 SQL Server 2008 共享相同的主版本号,,并且会增加次版本号。SQL Server 2008 R2 的产品版本为 10.50.bbbb.rr。与之相比的是,SQL Server 2008 的产品版本是 10.0.bbbb.rr。

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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