MongoDB做日志服务器 MongoDB 做日志服务器。 www.2cto.com 写日志最常用的方式是写入纯文本文件,然后安日期分割文件,压错旧文件。 这样的日志与对懂shell,perl语言的人分析起来非常方便,对于程序员来说还是更喜欢写入数据库服务器,然后通过sql语句查询
MongoDB做日志服务器
MongoDB 做日志服务器。
www.2cto.com
写日志最常用的方式是写入纯文本文件,然后安日期分割文件,压错旧文件。
这样的日志与对懂shell,perl语言的人分析起来非常方便,对于程序员来说还是更喜欢写入数据库服务器,然后通过sql语句查询。
对于程序员来说sql语句提供了丰富查询功能,相比文本文件分析更容易。
下面就是一个简单日志表, 尽量做到通用所以只有message。
Sql代码
CREATE TABLE `logging` (
`id` INT(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`tag` ENUM('unknow','user','bbs','cart','admin') NOT NULL DEFAULT 'unknow' COMMENT '日志标签域',
`asctime` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '产生时间',
`facility` ENUM('unknow','account','bank','unionpay','sms','email','register') NOT NULL DEFAULT 'unknow' COMMENT '类别',
`priority` ENUM('info','warning','error','critical','exception','debug') NOT NULL DEFAULT 'debug' COMMENT '级别',
`message` VARCHAR(512) NOT NULL COMMENT '内容',
`operator` VARCHAR(50) NOT NULL DEFAULT 'computer' COMMENT '操作者',
PRIMARY KEY (`id`)
)
COMMENT='日志表'
COLLATE='utf8_general_ci'
ENGINE=InnoDB;
www.2cto.com
mongodb 的message字段比起sql更灵活
Java代码
db.logging.user.save({'asctime':'2012-10-10 12:12:12','facility':'register','priority':'info','operator':'computer','message':{'name':'neo','address':{'city':'shenzhen','post':518000},'phone':[13113668890,13322993040]}})
db.logging.user.save({'asctime':'2012-10-10 12:12:12','facility':'sms','priority':'error','operator':'computer','message':'send sms: 13113668890,text: xxxxx'})
db.logging.user.find()
db.logging.admin.save({'asctime':'2012-10-10 12:12:12','facility':'account','priority':'info','operator':'computer','message':'delete account'})
db.logging.admin.save({'asctime':'2012-10-10 12:12:12','facility':'sms','priority':'info','operator':'computer','message':'send sms'})
db.logging.admin.save({'asctime':'2012-10-10 12:12:12','facility':'bank','priority':'warning','operator':'computer','message':'bank from xxxx to xxxx'})
db.logging.admin.find()
Java代码
> db.logging.user.find()
{ "_id" : ObjectId("50cc10dd3e4f5a2b92fb5f37"), "asctime" : "2012-10-10 12:12:12", "facility" : "register", "priority" : "info", "operator" : "computer", "message" : { "name" : "neo", "address" : { "city" : "shenzhen", "post" : 518000 }, "phone" : [ 13113668890, 13322993040 ] } }
{ "_id" : ObjectId("50cc11a23e4f5a2b92fb5f39"), "asctime" : "2012-10-10 12:12:12", "facility" : "sms", "priority" : "error", "operator" : "computer", "message" : "send sms: 13113668890" }
> db.logging.admin.find()
{ "_id" : ObjectId("50cc11443e4f5a2b92fb5f38"), "asctime" : "2012-10-10 12:12:12", "facility" : "account", "priority" : "info", "operator" : "computer", "message" : "delete account" }
{ "_id" : ObjectId("50cc120c3e4f5a2b92fb5f3a"), "asctime" : "2012-10-10 12:12:12", "facility" : "bank", "priority" : "warning", "operator" : "computer", "message" : "bank from xxxx to xxxx" }
>

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MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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.


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