本文讲解如何使用LEFT JOIN、CROSS JOIN以及IDENTITY值的检索,这些技术来 提高 基于SQL Server的应用程序的性能或改善其可 伸缩性 。 你将遇到的现象:应用程序中的SQL 查询不能按照您想要的方式进行响应。它要么不返回数据,要么耗费的时间长得出奇。如果
本文讲解如何使用LEFT JOIN、CROSS JOIN以及IDENTITY值的检索,这些技术来提高基于SQL Server的应用程序的性能或改善其可伸缩性。
你将遇到的现象:应用程序中的SQL 查询不能按照您想要的方式进行响应。它要么不返回数据,要么耗费的时间长得出奇。如果它降低了企业应用程序的速度,用户必须等待很长时间。用户希望应用程序响应迅速,他们的报告能够在瞬间之内返回分析数据。
为了解决这些问题,重要的是找到问题的根源。那么,从哪里开始呢?根本原因通常在于数据库设计和访问它的查询。我将讲述四项技术,这些技术可用于提高基于SQL Server的应用程序的性能或改善其可伸缩性。我将仔细说明 LEFT JOIN、CROSS JOIN 的使用以及IDENTITY 值的检索。请记住,根本没有神奇的解决方案。调整您的数据库及其查询需要占用时间、进行分析,还需要大量的测试。这些技术都已被证明行之有效,但对您的应用程序而言,可能其中一些技术比另一些技术更适用。
从 INSERT 返回 IDENTITY
我决定从遇到许多问题的内容入手:如何在执行SQL INSERT后检索IDENTITY值。通常,问题不在于如何编写检索值的查询,而在于在哪里以及何时进行检索。在SQL Server中,下面的语句可用于检索由最新在活动数据库连接上运行的 SQL 语句所创建的 IDENTITY 值:SELECT @@IDENTITY。
这个 SQL 语句并不复杂,但需要记住的一点是:如果这个最新的 SQL 语句不是 INSERT,或者您针对非 INSERT SQL 的其他连接运行了此 SQL,则不会获得期望的值。您必须运行下列代码才能检索紧跟在 INSERT SQL 之后且位于同一连接上的 IDENTITY,如下所示:
INSERT INTO Products (ProductName) VALUES ('Chalk')<br>SELECT @@IDENTITY
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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.

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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.

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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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