search
HomeDatabaseMysql TutorialLinux平台使用二进制包将MySQL 5.1安装到个人目录简易指南

Linux平台使用二进制包将MySQL 5.1安装到个人目录简易指南

1. 解压二进制包到个人目录,例如/home/liyh/local/mysql;

2. 拷贝一份系统目录的my.cnf配置(或者后面的配置样例也可以),按照如下方式修改:
2.1 将其中所有目录相关的配置全部改为个人目录,且要用绝对路径,不能用$HOME.  例如data, log(注意二进制包解压后缺省并没有log、tmp目录,需要自己手工创建),为了提高性能,建议数据目录和日志目录分开到不同的盘不同的目录,例如:
      datadir = /home1/liyh/mysql/data/
      log-error = /home/liyh/local/mysql/log/mysqld.err
      log-bin=/home/liyh/local/mysql/log/mysql-bin
      innodb_data_home_dir = /home1/liyh/mysql/data

2.2 修改[mysqld]下的port为你自己的端口;
2.3 修改[mysqld]下的user为你的用户名;

3. 将mysql的目录权限修改为你的用户,例如:
    chgrp -R liyh mysql;
    chown -R liyh mysql;
    chmod 775 mysql;

4.  到mysql目录下的scripts目录,执行如下语句:
   ./mysql_install_db --defaults-file=/home/liyh/local/mysql/my.cnf --user=liyh --basedir=/home/liyh/local/mysql
5. 执行如下语句启动:
   /home/liyh/local/mysql/bin/mysqld_safe --defaults-file=/home/liyh/local/mysql/my.cnf --basedir=/home/liyh/local/mysql &


【特别注意】为了提高InnoDB引擎的性能,记得一定要按照如下方式修改两个参数,否则你的MySQL insert和update慢得如蜗牛,但高性能同时也是有损失的,这样配置会降低MySQL的可靠性,某些场景下可能丢失数据,实际应用需要你自己评估是否要这样配置:
sync_binlog=0    1代表每次执行一条insert/update/delete都同步一下磁盘,0代表由操作系统决定何时同步磁盘,大于0代表达到多少条后再同步磁盘,如果可靠性要求较低,建议设置为0或者100以上
innodb_flush_log_at_trx_commit = 2   默认为1,意思是每次事务提交时都同步日志到磁盘,0代表每秒同步一次,事务提交时不同步,2代表只将事务日志写入缓存,每秒由系统同步磁盘;

==================配置样例如下====================================
[client]
port            = 19816
socket          = /home/liyh/local/mysql/tmp/mysql.sock
default-character-set = utf8

[mysqld]
character-set-server = utf8
port            = 19816
socket          = /home/liyh/local/mysql/tmp/mysql.sock
user    = liyh
skip-external-locking
datadir = /home1/liyh/mysql/data/
log-error = /home/liyh/local/mysql/log/mysqld.err
pid-file = /home/liyh/local/mysql/tmp/mysql.pid
#autocommit = off
#read-only

key_buffer_size = 64M
myisam_sort_buffer_size = 300M
max_allowed_packet = 16M
table_open_cache = 4096
sort_buffer_size = 5M
join_buffer_size = 5M
read_buffer_size = 5M
read_rnd_buffer_size = 8M
bulk_insert_buffer_size = 64M
query_cache_size = 8M
query_cache_limit=8M
query_cache_min_res_unit = 2k
tmp_table_size=64M
max_heap_table_size = 128M

open_files_limit=102400
thread_concurrency = 16
max_connections=3000
max_connect_errors=3000
back_log = 600
table_cache = 4096
thread_cache_size = 100
thread_stack = 192K
#transaction_isolation = READ-COMMITTED

skip-name-resolve

####log variables
server-id       = 1
binlog_format=mixed
#log-slave-updates
log-bin=/home/liyh/local/mysql/log/mysql-bin
relay_log=/home/liyh/local/mysql/log/relay-bin
max_binlog_size = 500M
binlog_cache_size = 1M
max_binlog_cache_size = 64M
#binlog-ignore-db = mysql
replicate-ignore-db = mysql
expire-logs-days = 10
sync_binlog=0

slow_query_log=1
slow_query_log_file=/home/liyh/local/mysql/log/slowquery.log
long_query_time=1
general_log=off
general_log_file=/home/liyh/local/mysql/log/general.log
#relay_log_purge=OFF

# Point the following paths to different dedicated disks
#tmpdir         = /tmp/
#log-update     = /path-to-dedicated-directory/hostname

#auto_increment_increment=1
#auto_increment_offset=1

####innodb variables
#skip-innodb
innodb_data_home_dir = /home1/liyh/mysql/data
innodb_data_file_path = ibdata1:2000M;ibdata2:100M:autoextend
innodb_log_group_home_dir = /home1/liyh/mysql/data
#innodb_log_arch_dir = /home/liyh/local/mysql/data/
innodb_buffer_pool_size = 2048M
innodb_additional_mem_pool_size = 64M
innodb_log_file_size = 200M
innodb_log_buffer_size = 8M
innodb_log_files_in_group = 3
innodb_flush_log_at_trx_commit = 2
#innodb_file_io_threads = 4
innodb_thread_concurrency = 16
default-storage-engine=innodb
#innodb_max_dirty_pages_pct = 90
#innodb_lock_wait_timeout = 60
#innodb_file_per_table = 0

#interactive_timeout = 600
#wait_timeout = 900

[mysqldump]
quick
max_allowed_packet = 16M

[mysql]
no-auto-rehash
# Remove the next comment character if you are not familiar with SQL
#safe-updates

[myisamchk]
key_buffer_size = 512M
sort_buffer_size = 512M
read_buffer = 5M
write_buffer = 5M

[mysqlhotcopy]
interactive-timeout

linux

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Explain the InnoDB Buffer Pool and its importance for performance.Explain the InnoDB Buffer Pool and its importance for performance.Apr 19, 2025 am 12:24 AM

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.

MySQL vs. Other Programming Languages: A ComparisonMySQL vs. Other Programming Languages: A ComparisonApr 19, 2025 am 12:22 AM

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.

Learning MySQL: A Step-by-Step Guide for New UsersLearning MySQL: A Step-by-Step Guide for New UsersApr 19, 2025 am 12:19 AM

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.

MySQL: Essential Skills for Beginners to MasterMySQL: Essential Skills for Beginners to MasterApr 18, 2025 am 12:24 AM

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.

MySQL: Structured Data and Relational DatabasesMySQL: Structured Data and Relational DatabasesApr 18, 2025 am 12:22 AM

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL: Key Features and Capabilities ExplainedMySQL: Key Features and Capabilities ExplainedApr 18, 2025 am 12:17 AM

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

The Purpose of SQL: Interacting with MySQL DatabasesThe Purpose of SQL: Interacting with MySQL DatabasesApr 18, 2025 am 12:12 AM

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.

MySQL for Beginners: Getting Started with Database ManagementMySQL for Beginners: Getting Started with Database ManagementApr 18, 2025 am 12:10 AM

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

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools