1、Mysql乱码问题 (1)创建数据库表时指定字符编码(如果Java程序是UTF8,那这里设置UTF8,在Java程序里查询能正常显示) (2)set names 'utf8',这样可以在mysql终端select时显示正常。当退出当前窗口时,下次进入还需要再次设置 (3)Java插入数据时,如果出现
1、Mysql乱码问题
(1)创建数据库表时指定字符编码(如果Java程序是UTF8,那这里设置UTF8,在Java程序里查询能正常显示)
(2)set names 'utf8',这样可以在mysql终端select时显示正常。当退出当前窗口时,下次进入还需要再次设置
(3)Java插入数据时,如果出现乱码在jdbc:mysql://ipaddress/dbname?characterEncoding=UTF-8,可以得到解决
drop table rule_config; create table rule_config(name varchar(1000),url varchar(1000),frequency int,is_use int) ENGINE=InnoDB AUTO_INCREMENT=40 DEFAULT CHARSET=utf8 COMMENT='拦截规则配置'; set names 'utf8'; show variables like 'char%'; show create table rule_config;
2.mysql删除数据之后,空间不会马上释放,需要用optimize 命令来执行如下之后空间就可以释放出来了。
OPTIMIZE TABLE 命令来进行表优化。这个命令可以将表中的空间碎片进行合并,并且可以消除由于删除或者更新造成的空间浪费 。OPTIMIZE TABLE 命令只对 MyISAM 、 BDB 和 InnoDB 表起作用
mysql> optimize table wap_top_ip_access_url;
+----------------------------+----------+----------+----------+
| Table | Op | Msg_type | Msg_text |
+----------------------------+----------+----------+----------+
| wmdb.wap_top_ip_access_url | optimize | status | OK |
+----------------------------+----------+----------+----------+
1 row in set (17.79 sec)
在执行这个命令时,先确保别的程序没有使用这张表,如果有两个程序都在使用的话,会引起锁表的情况,可能会导致磁盘空间占满的情况,然后此数据库也进不了,遇到这种情况需要把mysql重启,这会能进到该数据库,但是该表还是不能用:
此时需要对这表进行修复:进到/var/lib/mysql/wmdb目录下,先把mysql服务停掉,然后执行myisamchk -r table_name.MYI,执行完之后再重启服务就可以了。
3、ERROR 1118 (42000): Row size too large. The maximum row size for the used table type, not counting BLOBs, is 65535. You have to change some columns to TEXT or BLOBs
在执行创建表时报以上错误,此时是指定utf8编码,其中各个字段的长度设置都没有超过限定的范围,这个可能是超过 一个表 关于 非十六进制字段 64k的限制了。
解决办法:把部分字段缩减长度,这样表的总体空间变小之后,就可以正常创建了。

The steps to create and manage user accounts in MySQL are as follows: 1. Create a user: Use CREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password'; 2. Assign permissions: Use GRANTSELECT, INSERT, UPDATEONmydatabase.TO'newuser'@'localhost'; 3. Fix permission error: Use REVOKEALLPRIVILEGESONmydatabase.FROM'newuser'@'localhost'; then reassign permissions; 4. Optimization permissions: Use SHOWGRA

MySQL is suitable for rapid development and small and medium-sized applications, while Oracle is suitable for large enterprises and high availability needs. 1) MySQL is open source and easy to use, suitable for web applications and small and medium-sized enterprises. 2) Oracle is powerful and suitable for large enterprises and government agencies. 3) MySQL supports a variety of storage engines, and Oracle provides rich enterprise-level functions.

The disadvantages of MySQL compared to other relational databases include: 1. Performance issues: You may encounter bottlenecks when processing large-scale data, and PostgreSQL performs better in complex queries and big data processing. 2. Scalability: The horizontal scaling ability is not as good as Google Spanner and Amazon Aurora. 3. Functional limitations: Not as good as PostgreSQL and Oracle in advanced functions, some functions require more custom code and maintenance.

MySQL supports four JOIN types: INNERJOIN, LEFTJOIN, RIGHTJOIN and FULLOUTERJOIN. 1.INNERJOIN is used to match rows in two tables and return results that meet the criteria. 2.LEFTJOIN returns all rows in the left table, even if the right table does not match. 3. RIGHTJOIN is opposite to LEFTJOIN and returns all rows in the right table. 4.FULLOUTERJOIN returns all rows in the two tables that meet or do not meet the conditions.

MySQL's performance under high load has its advantages and disadvantages compared with other RDBMSs. 1) MySQL performs well under high loads through the InnoDB engine and optimization strategies such as indexing, query cache and partition tables. 2) PostgreSQL provides efficient concurrent read and write through the MVCC mechanism, while Oracle and Microsoft SQLServer improve performance through their respective optimization strategies. With reasonable configuration and optimization, MySQL can perform well in high load environments.

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.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.


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