ELK日志分析
ElasticSearch+Logstash+Kibana
1.下载docker镜像
docker pull elasticsearch:5.6.11
docker pull kibana:5.6.11
docker pull logstash:5.6.15
2.创建ElasticSearch实例
#创建外部映射目录
mkdir -p /mydata/elasticsearch/config
mkdir -p /mydata/elasticsearch/data
#配置允许访问的ip地址
echo "http.host: 0.0.0.0" >> /mydata/elasticsearch/config/elasticsearch.yml
#启动docker镜像
docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e "discovery.type=single-node" \
-e ES_JAVA_OPTS="-Xms256m -Xmx256m" \
-v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data -d elasticsearch:5.6.11
#特别注意:
#-e ES_JAVA_OPTS="-Xms256m -Xmx256m" \ 测试环境下,设置ES的初始内存和最大内存,否则导致过大启动不了ES
3.创建kibana实例
#启动kibana镜像,配置好es的ip和端口号,可以直接访问5601端口登陆可视化界面
docker run --name kibana -e ELASTICSEARCH_URL=http://192.168.214.131:9200 -p 5601:5601 \
-d kibana:5.6.11
4.创建Logstash实例
-
首先在mydata/logstash中创建logstash.conf文件
-
文件内容
input { tcp { port => 4560 codec => json_lines } } output{ elasticsearch { hosts => ["192.168.159.130:9200"] index => "applog" } stdout { codec => rubydebug } }
注意:hosts一定不要写127或者localhost;这样docker容器内部127没有es实例,连不上
-
启动docker容器
docker run -d -p 4560:4560 \ -v /mydata/logstash/logstash.conf:/etc/logstash.conf \ --link elasticsearch:elasticsearch \ --name logstash logstash:5.6.15 \ logstash -f /etc/logstash.conf
5.在项目中配置xml文件并导入相关maven依赖
-
导入maven依赖
<dependency> <groupId>net.logstash.logback</groupId> <artifactId>logstash-logback-encoder</artifactId> <version>5.3</version> </dependency>
-
创建logback-spring.xml文件
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE configuration> <configuration> <include resource="org/springframework/boot/logging/logback/defaults.xml"/> <include resource="org/springframework/boot/logging/logback/console-appender.xml"/> <!--应用名称--> <property name="APP_NAME" value="mall-admin"/> <!--日志文件保存路径--> <property name="LOG_FILE_PATH" value="${LOG_FILE:-${LOG_PATH:-${LOG_TEMP:-${java.io.tmpdir:-/tmp}}}/logs}"/> <contextName>${APP_NAME}</contextName> <!--每天记录日志到文件appender--> <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender"> <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy"> <fileNamePattern>${LOG_FILE_PATH}/${APP_NAME}-%d{yyyy-MM-dd}.log</fileNamePattern> <maxHistory>30</maxHistory> </rollingPolicy> <encoder> <pattern>${FILE_LOG_PATTERN}</pattern> </encoder> </appender> <!--输出到logstash的appender--> <appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender"> <destination>192.168.214.131:4560</destination> <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/> </appender> <root level="DEBUG"> <appender-ref ref="CONSOLE"/> <appender-ref ref="FILE"/> <appender-ref ref="LOGSTASH"/> </root> </configuration>