JBuilder2005单元测试体验之测试配置_MySQL
JBuilder
在测试用例向导的最后一步,允许你创建一个测试用例的运行配置项,如下图所示:
![]() 图 错误!文档中没有指定样式的文字。创建运行测试项 |
在一般情况下,你不必为每个测试用例类单独创建一个运行配置项,JBuilder会采用默认的运行配置运行测试用例。
测试运行配置项在需要指定不同的测试运行器(默认为JBTestRunner)、一次运行多个测试用例时,允许你进行特殊的定制。通过Project->Project Properties...->Run,在Run设置页中列出了工程所有已定义的运行配置项,Runtime Configurations列表中Type类型为Test的运行配置项即为测试运行配置项,可以通过对话框右边的Edit...按钮编辑这些运行配置项,如下图所示:
![]() 图 错误!文档中没有指定样式的文字。运行配置页列表 |
下面,我们来创建一个新的名为TestAllDbTest的运行配置项,用JUnit提供的junit.swingui.TestRunner测试运行器运行测试用例,使chapter25.db包下所有以Test打头的测试用例类一并运行。
在图 错误!文档中没有指定样式的文字。点击New...按钮,弹出New Runtime Configuration的对话框,如下图所示
![]() 图 错误!文档中没有指定样式的文字。TestSubsection运行 |
在Name中填入TestAllDb。在Type中选择Test,对话框下部的窗口调整为测试运行配置的界面。默认Class单选框选中,允许你指定一个测试用例类,由于我们希望通过该配置项运行chapter25.db包下所有的测试用例,所以我们选择Package单选框,并通过其后的…按钮选择chapter25.db包。

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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