[NoSQL]使用Log4Mongo搭建日志分析系统
搭建MongoDb: 1.在http://www.mongodb.org/downloads下载mongodb-win32-x86_64-2008plus-2.6.7.zip并解压。 2.在mongodb-win32-x86_64-2008plus-2.6.7/bin下创建data文件夹和logs文件夹用来存储数据库和日志。 3.cmd进入mongodb-win32-x86_64-2008plus-2.6.7/bin输入mongod.exe--install --logpath=日志位置 --dbpath=数据库位置 --install。 4.使用net start mongodb启动mongodb服务,net stop mongodb 停止mongodb服务。 5.进入mongodb-win32-x86_64-2008plus-2.6.7/bin输入mongod.exe进入shell环境界面。 6.创建数据库,可以直接use database会创建一个名称为database的数据库。 7.创建capped collection :db.createCollection("logs",{ capped:true,size:1024 }),logs为集合名,capped:true表示这个集合是固定容量的,当容量达到上线时,新数据会覆盖掉老数据。size:1024表示为这个集合分配了1024的空间。
服务器端配置: 1.首先导入以下3个jar包:
<dependency> <groupId>org.mongodb</groupId> <artifactId>mongo-java-driver</artifactId> <version>2.13.0</version> </dependency> <dependency> <groupId>org.log4mongo</groupId> <artifactId>log4mongo-java</artifactId> <version>0.7.4</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.17</version> </dependency> 2.在log4j.properties中配置: log4j.rootLogger=ERROR,MongoDB log4j.appender.MongoDB=org.log4mongo.MongoDbAppender log4j.appender.MongoDB.databaseName=logs log4j.appender.MongoDB.collectionName=visit log4j.appender.MongoDB.hostname=127.0.0.1 log4j.appender.MongoDB.port=27017 3.在程序中输出日志: class Test { private static final Logger logger = Logger.getLogger(Test.class); public static void main(String[] args) { logger.error("send to MongoDb!"); } } 4.Log4Mongo的默认日志格式为: { "_id": ObjectId("54ee879a16b243ff94561350"),"timestamp": ISODate("2015-02-26T02:40:26.227Z"),"level": "ERROR","thread": "main","message": "send to MongoDb!","loggerName": { "fullyQualifiedClassName": "com.lottoxinyu.triphare.base.commons.log4j.Test","package": [ "com","lottoxinyu","triphare","base","commons","log4j","Test" ],"className": "Test" },"fileName": "ConciseMongoDbAppender.java","method": "main","lineNumber": "29","class": { "fullyQualifiedClassName": "com.lottoxinyu.triphare.base.commons.log4j.Test","host": { "process": "6208@Dream_idai","name": "Dream_idai","ip": "192.168.1.166" } } 使用MongoDB的理由: 1.作为NoSql的MongoDb在速度上是要比MySql等关系型数据库要快的。 2.MongoDb支持Json,并且有丰富的内嵌文档查询。 3.可以随意修改存储日志的格式,不会有任何影响。 4.capped collection省去定期清理日志的麻烦,并且性能更高。
修改Log4Mongo默认的文档格式 Log4Mongo的默认文档格式虽然记录的信息很全面,但是有很多是并不需要的,如果一并存储下来则需要占用许多的内存空间,所以可以通过重写Log4Mongo的Appender只记录必要的信息。方法如下: 1.创建一个ConciseMongoDbAppender类继承MongoDbAppender,并重写它的append(LoggingEvent)方法: public class ConciseMongoDbAppender extends MongoDbAppender { private LoggingEventBsonifier bsonifier = new ConciseLoggingEventBsonifier(); @Override protected void append(LoggingEvent loggingEvent) { DBObject bson = this.bsonifier.bsonify(loggingEvent); this.append(bson); } } 2.这个方法是继承自BsonAppender,原方法通过调用LoggingEventBsonifier的bsonify(LoggingEvent)方法将LoggingEvent转换为DBObject,所以需要创建一个ConciseMongoDbAppender类实现LoggingEventBsonifier接口并重写bsonify(LoggingEvent)方法,这里为了简单可以直接继承LoggingEventBsonifierImpl类: public class ConciseLoggingEventBsonifier extends LoggingEventBsonifierImpl { @Override public DBObject bsonify(LoggingEvent loggingEvent) { BasicDBObject result = null; if(loggingEvent != null) { result = new BasicDBObject(); result.put("timestamp",new Date(loggingEvent.getTimeStamp())); this.nullSafePut(result,"level",loggingEvent.getLevel().toString()); this.nullSafePut(result,"thread",loggingEvent.getThreadName()); this.nullSafePut(result,"message",loggingEvent.getMessage()); // this.nullSafePut(result,"loggerName",this.bsonifyClassName(loggingEvent.getLoggerName())); // this.addMDCInformation(result,loggingEvent.getProperties()); // this.addLocationInformation(result,loggingEvent.getLocationInformation()); // this.addThrowableInformation(result,loggingEvent.getThrowableInformation()); // this.addHostnameInformation(result); } return result; } }3.参照LoggingEventBsonifierImpl类的bsonify(LoggingEvent)方法即可自定义文档类型。 (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |