ngx_http_log_module 实例: log_format gzip '$remote_addr - $remote_user [$time_local] ': '$request $status $bytes_sent ': '$http_referer $http_user_agent $gzip_ratio';access_log /spool/logs/nginx-access.log gzip buffer=32k; access_log 语法
ngx_http_log_module
实例:
log_format gzip '$remote_addr - $remote_user [$time_local] ' : '"$request" $status $bytes_sent ' : '"$http_referer" "$http_user_agent" "$gzip_ratio"'; access_log /spool/logs/nginx-access.log gzip buffer=32k;
access_log
语法: access_log path [format [buffer=size | off ] 默认值: access_log log/access.log combined
作用域: http, server, location
指令 access_log 指派路径、格式和缓存大小。参数 "off" 将清除当前级别的所有 access_log 指令。如果未指定格式,则使用预置的 "combined" 格式。缓存不能大于能写入磁盘的文件的最大大小。在 FreeBSD 3.0-6.0 ,缓存大小无此限制。
log_format
语法: log_format name format [format ...]
默认值: log_format combined "..."
作用域: http server
Directive log_format describes the format of a log entry. Besides general variables in the format it is possible to use variables which exist only at the moment of record into the log:
$body_bytes_sent, the number of bytes, transmitted to client minus the response headers, variable is compatible with parameter %B of module Apache's mod_log_config (this was called $apache_bytes_sent, before version 0.3.10)
$bytes_sent, the number of bytes, transmitted to client
$connection, the number of connection
$msec, the time with an accuracy to microseconds at the moment of the log entry
$pipe, "p" if request was pipelining
$request_length, the length of the body of the request
$request_time, the time of working on request in seconds
$status, status of answer
$time_local, local time into common log format.
The headers, transmitted to client, begin from the prefix "sent_http_", for example, $sent_http_content_range.
In the configuration there is always a predetermined format "combined":
log_format combined '$remote_addr - $remote_user [$time_local] ' : '"$request" $status $apache_bytes_sent ' : '"$http_referer" "$http_user_agent"';
原始俄文文档:http://sysoev.ru/nginx/docs/http/ngx_http_log_module.html

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.

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 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 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.

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.

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


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