ApacheTomcat
一、整合Apache+Tomcat服务器
1. 复制mod_jk_1.2.5_2.0.47.dll文件到C:/Apache2/modules目录。
2. Apache配置:
C:/apahce2/conf/httpd.conf
httpd.conf
在此配置文件最后添加以下语句,用以支持jsp程序:
LoadModule jk_module modules/mod_jk_1.2.5_2.0.47.dll
JkWorkersFile "C:/Tomcat 5.0/conf/workers.properties"
JkMount /servlet/* ajp13
JkMount /*.jsp ajp13
3. 查看C:/Tomcat 5.0/conf/server.xml文件中有关端口“8009”是否被注释,如果是和我这的版本一致的话,不用修改。
4. 在C:/Tomcat 5.0/conf/目录下,新建文件名为“workers.properties”的文件,将如下内容复制到新建文件workers.properties中。
workers.properties
# 只复制以下内容即可:
# 这现行根据安装目录做修改
workers.tomcat_home=C:/Tomcat 5.0
workers.java_home=C:/j2sdk1.4.1_01
ps=/
# worker.list=ajp13
worker.list=ajp12,ajp13
worker.ajp12.port=8007
worker.ajp12.host=localhost
worker.ajp12.type=ajp12
worker.ajp12.lbfactor=1
worker.ajp13.port=8009
worker.ajp13.host=localhost
worker.ajp13.type=ajp13
worker.ajp13.lbfactor=1
worker.loadbalancer.type=lb
worker.loadbalancer.balanced_workers=ajp12, ajp13
worker.inprocess.type=jni
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)classes
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)lib$(ps)jaxp.jar
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)lib$(ps)parser.jar
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)common$(ps)lib$(ps)jasper.jar
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)common$(ps)lib$(ps)servlet.jar
worker.inprocess.class_path=$(workers.tomcat_home)$(ps)common$(ps)lib$(ps)webserver.jar
worker.inprocess.class_path=$(workers.java_home)$(ps)lib$(ps)tools.jar
worker.inprocess.cmd_line=-config
worker.inprocess.cmd_line=$(workers.tomcat_home)/conf/jni_server.xml
worker.inprocess.cmd_line=-home
worker.inprocess.cmd_line=$(workers.tomcat_home)
worker.inprocess.jvm_lib=$(workers.java_home)$(ps)jre$(ps)bin$(ps)classic$(ps)jvm.dll
worker.inprocess.stdout=$(workers.tomcat_home)$(ps)inprocess.stdout
worker.inprocess.stderr=$(workers.tomcat_home)$(ps)inprocess.stderr
worker.inprocess.sysprops=tomcat.home=$(workers.tomcat_home)
5. 到此Apache 和 Tomcat整合完成,重启Apache和Tomcat服务器,
用编辑器编写如下内容:
String Msg = "This is JSP test! 看到这段话,恭喜你,成功了!";
out.print("Hello World!");
%>
The current date and time is
String str = "Using trim() and substring() can be very useful";
out.println(str);
%>
保存文件名为“test.jsp”到C:/Tomcat 5.0/webapps/ROOT目录,然后打开浏览器,浏览:http://localhost:8080/test.jsp,如果显示正常,然后将地址改为:http://localhost/test.jsp 显示正常说明配置成功。严格按以上说明安装配置,都会一次成功。
如果想更改tomcat的文档路径,
二、整合Apache+Tomcat+MySQL
这步相对简单许多,但也是最不容易成功的部分,前面已经将JSP的MySQL驱动放到相应的目录中,环境变量也设置,所以只是测试JSP是否可以连接MySQL数据库。
1. 测试1,用编辑器编写如下内容:
java.sql.Connection conn;
java.lang.String strConn;
Class.forName("org.gjt.mm.mysql.Driver").newInstance();
conn= java.sql.DriverManager.getConnection("jdbc:mysql://localhost/test","root","");
%>
注:数据库此处为:test 连接数据库存的用户名为:root 密码为空。根据自己数据库作相应修改。
保存文件名为“test-mysql.jsp”到C:/Tomcat 5.0/webapps/ROOT目录,然后打开浏览器,浏览:http://localhost:8080/test-mysql.jsp 或 http://localhost/test-mysql.jsp ,运行后,如果显示为空白页面,说明连接数据库成功,否则说明没有连接成功,请往回逐步仔细配置。
2. 测试2,用编辑器编写如下内容:
Connection conn = null;
Class.forName("org.gjt.mm.mysql.Driver").newInstance();
conn = java.sql.DriverManager.getConnection("jdbc:mysql://localhost/test","root","");
if(conn==null){
System.out.println("get Conn Error");
}
Statement stmt=conn.createStatement();
ResultSet RS_result=null;
%>
RS_result=stmt.executeQuery("select * from guestbook");
String Name;
while(RS_result.next())
{
Name=RS_result.getString("name");
%>
}
RS_result.close();
stmt.close();
conn.close();
%>
保存文件名为“test-mysql2.jsp”到C:/Tomcat 5.0/webapps/ROOT目录,然后打开浏览器,浏览:http://localhost:8080/test-mysql2.jsp 或 http://localhost/test-mysql2.jsp

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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