点击Ubuntu的系统=gt;系统管理=gt;新立得软件包管理器搜索jdk mysql关键字,在搜索列表中选择要安装的软件源一:配置~/.bashrc
点击Ubuntu的系统=>系统管理=>新立得软件包管理器
搜索jdk mysql关键字,在搜索列表中选择要安装的软件源
一:配置~/.bashrc文件
JDK的默认安装路径/usr/lib/jvm/
在~/.bashrc配置文件中添加
JAVA_HOME=/usr/lib/jvm/java-1.5.0-sun
JAVA_BIN=/usr/lib/jvm/java-1.5.0-sun/bin
PATH=$JAVA_HOME/bin:$PATH
TOMCAT_HOME=/home/portal/apache-tomcat-6.0.13
CLASSPATH=.:$JAVA_HOME/lib:$TOMCAT_HOME/lib
export JAVA_HOME JAVA_BIN PATH TOMCAT_HOME CLASSPATH
二:配置/etc/environment
在/etc/environment配置文件中添加
PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games"
LANG="zh_CN.UTF-8"
LANGUAGE="zh_CN:zh"
CLASSPATH=".:/usr/lib/jvm/java-1.5.0-sun/lib"
JAVA_HOME="/usr/lib/jvm/java-1.5.0-sun/"
三:Mysql授权远程访问
mysql>GRANT ALL PRIVILEGES ON *.* TO admin@localhost IDENTIFIED BY 'password' WITH GRANT OPTION;
mysql>GRANT ALL PRIVILEGES ON *.* TO admin@% IDENTIFIED BY 'password' WITH GRANT OPTION;
第一句增加了一个admin用户授权通过本地机(localhost)访问,,密码“password”。第二句则是授与admin用户从任何其它主机发起的访问(通配符%)。
$sudo gedit /etc/mysql/my.cnf
老的版本中
>skip-networking => # skip-networking
新的版本中
>bind-address=127.0.0.1 => bind-address= 你机器的IP
或者将bind-address=127.0.0.1=>#bind-address=127.0.0.1注注释掉
重启MYSQL服务 $sudo /etc/init.d/mysql restart
则可以远程访问MySQL了。
四:关于Ubuntu MySQL字符乱码
$sudo gedit /etc/mysql/my.cnf
[client]
default-character-set=utf8
[mysqld]
default-character-set=utf8
重启MYSQL服务 $sudo /etc/init.d/mysql restart

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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