完成海量日志收集_产业新知_资讯_猿巴巴

整体流程大概如下：

服务器准备

在这先列出各服务器节点，方便同学们在下文中对照节点查看相应内容

SpringBoot项目准备

引入log4j2替换SpringBoot默认log，demo项目结构如下：

pom

org.springframework.boot spring-boot-starter-web org.springframework.boot spring-boot-starter-logging org.springframework.boot spring-boot-starter-log4j2 com.lmax disruptor 3.3.4

log4j2.xml

nitorInterval="600" > logs

collector

[%d{yyyy-MM-dd'T'HH:mm:ss.SSSZZ}] [%level{length=5}] [%thread-%tid] [%logger] [%X{hostName}] [%X{ip}] [%X{applicationName}] [%F,%L,%C,%M] [%m] ## '%ex'%n sedTriggeringPolicy interval="1"/> sedTriggeringPolicy size="500MB"/> nMatch="ACCEPT" onMismatch="DENY"/> sedTriggeringPolicy interval="1"/> sedTriggeringPolicy size="500MB"/>

IndexController

测试Controller，用以打印日志进行调试

@Slf4j

@RestControllerpublic class IndexController { @RequestMapping(value = "/index") public String index() { InputMDC.putMDC(); log.info("我是一条info日志"); log.warn("我是一条warn日志"); log.error("我是一条error日志"); return "idx"; } @RequestMapping(value = "/err") public String err() { InputMDC.putMDC(); try { int a = 1/0; } catch (Exception e) { log.error("算术异常", e); } return "err"; } }

InputMDC

用以获取log中的

[%X{hostName}]

、

[%X{ip}]

、

[%X{applicationName}]

三个字段值

@Component

public class InputMDC implements EnvironmentAware { private static Environment environment; @Override public void setEnvironment(Environment environment) { InputMDC.environment = environment; } public static void putMDC() { MDC.put("hostName", NetUtil.getLocalHostName()); MDC.put("ip", NetUtil.getLocalIp()); MDC.put("applicationName", environment.getProperty("spring.application.name")); }}

NetUtil

public class NetUtil {

public static String normalizeAddress(String address){ String[] blocks = address.split("[:]"); if(blocks.length > 2){ throw new IllegalArgumentException(address + " is invalid"); } String host = blocks[0]; int port = 80; if(blocks.length > 1){ port = Integer.valueOf(blocks[1]); } else { address += ":"+port; //use default 80 } String serverAddr = String.format("%s:%d", host, port); return serverAddr; } public static String getLocalAddress(String address){ String[] blocks = address.split("[:]"); if(blocks.length != 2){ throw new IllegalArgumentException(address + " is invalid address"); } String host = blocks[0]; int port = Integer.valueOf(blocks[1]); if("0.0.0.0".equals(host)){ return String.format("%s:%d",NetUtil.getLocalIp(), port); } return address; } private static int matchedIndex(String ip, String[] prefix){ for(int i=0; i

10>172>192>127"; } String[] prefix = ipPreference.split("[> ]+"); try { Pattern pattern = Pattern.compile("[0-9]+.[0-9]+.[0-9]+.[0-9]+"); Enumeration interfaces = NetworkInterface.getNetworkInterfaces(); String matchedIp = null; int matchedIdx = -1; while (interfaces.hasMoreElements()) { NetworkInterface ni = interfaces.nextElement(); Enumeration en = ni.getInetAddresses(); while (en.hasMoreElements()) { InetAddress addr = en.nextElement(); String ip = addr.getHostAddress(); Matcher matcher = pattern.matcher(ip); if (matcher.matches()) { int idx = matchedIndex(ip, prefix); if(idx == -1) continue; if(matchedIdx == -1){ matchedIdx = idx; matchedIp = ip; } else { if(matchedIdx>idx){ matchedIdx = idx; matchedIp = ip; } } } } } if(matchedIp != null) return matchedIp; return "127.0.0.1"; } catch (Exception e) { return "127.0.0.1"; } } public static String getLocalIp() { return getLocalIp("*>10>172>192>127"); } public static String remoteAddress(SocketChannel channel){ SocketAddress addr = channel.socket().getRemoteSocketAddress(); String res = String.format("%s", addr); return res; } public static String localAddress(SocketChannel channel){ SocketAddress addr = channel.socket().getLocalSocketAddress(); String res = String.format("%s", addr); return addr==null? res: res.substring(1); } public static String getPid(){ RuntimeMXBean runtime = ManagementFactory.getRuntimeMXBean(); String name = runtime.getName(); int index = name.indexOf("@"); if (index != -1) { return name.substring(0, index); } return null; } public static String getLocalHostName() { try { return (InetAddress.getLocalHost()).getHostName(); } catch (UnknownHostException uhe) { String host = uhe.getMessage(); if (host != null) { int colon = host.indexOf(':'); if (colon > 0) { return host.substring(0, colon); } } return "UnknownHost"; } }}

启动项目，访问

/index

和

/ero

接口，可以看到项目中生成了

app-collector.log

和

error-collector.log

两个日志文件

我们将Springboot服务部署在192.168.11.31这台机器上。

Kafka安装和启用

kafka下载地址：

http://kafka.apache.org/downloads.html

kafka安装步骤：首先kafka安装需要依赖与zookeeper，所以小伙伴们先准备好zookeeper环境（三个节点即可），然后我们来一起构建kafka broker。

## 解压命令：

tar -zxvf kafka_2.12-2.1.0.tgz -C /usr/local/## 改名命令：mv kafka_2.12-2.1.0/ kafka_2.12## 进入解压后的目录，修改server.properties文件：vim /usr/local/kafka_2.12/config/server.properties## 修改配置：broker.id=0port=9092host.name=192.168.11.51advertised.host.name=192.168.11.51log.dirs=/usr/local/kafka_2.12/kafka-logsnum.partitions=2zookeeper.connect=192.168.11.111:2181,192.168.11.112:2181,192.168.11.113:2181## 建立日志文件夹：mkdir /usr/local/kafka_2.12/kafka-logs##启动kafka：/usr/local/kafka_2.12/bin/kafka-server-start.sh /usr/local/kafka_2.12/config/server.properties &

创建两个topic

## 创建topic

kafka-topics.sh --zookeeper 192.168.11.111:2181 --create --topic app-log-collector --partitions 1 --replication-factor 1kafka-topics.sh --zookeeper 192.168.11.111:2181 --create --topic error-log-collector --partitions 1 --replication-factor 1

我们可以查看一下topic情况

kafka-topics.sh --zookeeper 192.168.11.111:2181 --topic app-log-test --describe

可以看到已经成功启用了

app-log-collector

和

error-log-collector

两个topic

filebeat安装和启用

filebeat下载

cd /usr/local/software

tar -zxvf filebeat-6.6.0-linux-x86_64.tar.gz -C /usr/local/cd /usr/localmv filebeat-6.6.0-linux-x86_64/ filebeat-6.6.0

配置filebeat，可以参考下方yml配置文件

vim /usr/local/filebeat-5.6.2/filebeat.yml

###################### Filebeat Configuration Example #########################

filebeat.prospectors:- input_type: log paths: ## app-服务名称.log, 为什么写死，防止发生轮转抓取历史数据 - /usr/local/logs/app-collector.log #定义写入 ES 时的 _type 值 document_type: "app-log" multiline: #pattern: '^s*(d{4}|d{2})-(d{2}|[a-zA-Z]{3})-(d{2}|d{4})' # 指定匹配的表达式（匹配以 2017-11-15 08:04:23:889 时间格式开头的字符串） pattern: '^[' # 指定匹配的表达式（匹配以 "{ 开头的字符串） negate: true # 是否匹配到 match: after # 合并到上一行的末尾 max_lines: 2000 # 最大的行数 timeout: 2s # 如果在规定时间没有新的日志事件就不等待后面的日志 fields: logbiz: collector logtopic: app-log-collector ## 按服务划分用作kafka topic evn: dev- input_type: log paths: - /usr/local/logs/error-collector.log document_type: "error-log" multiline: #pattern: '^s*(d{4}|d{2})-(d{2}|[a-zA-Z]{3})-(d{2}|d{4})' # 指定匹配的表达式（匹配以 2017-11-15 08:04:23:889 时间格式开头的字符串） pattern: '^[' # 指定匹配的表达式（匹配以 "{ 开头的字符串） negate: true # 是否匹配到 match: after # 合并到上一行的末尾 max_lines: 2000 # 最大的行数 timeout: 2s # 如果在规定时间没有新的日志事件就不等待后面的日志 fields: logbiz: collector logtopic: error-log-collector ## 按服务划分用作kafka topic evn: dev output.kafka: enabled: true hosts: ["192.168.11.51:9092"] topic: '%{[fields.logtopic]}' partition.hash: reachable_only: true compression: gzip max_message_bytes: 1000000 required_acks: 1logging.to_files: true

filebeat启动：

检查配置是否正确

cd /usr/local/filebeat-6.6.0

./filebeat -c filebeat.yml -configtest## Config OK

启动filebeat

/usr/local/filebeat-6.6.0/filebeat &

检查是否启动成功

ps -ef | grep filebeat

可以看到filebeat已经启动成功

然后我们访问192.168.11.31:8001/index和192.168.11.31:8001/err，再查看kafka的logs文件，可以看到已经生成了app-log-collector-0和error-log-collector-0文件，说明filebeat已经帮我们把数据收集好放到了kafka上。

logstash安装

我们在logstash的安装目录下新建一个文件夹

mkdir scrpit

然后cd进该文件，创建一个

logstash-script.conf

文件

cd scrpit

vim logstash-script.conf

## multiline 插件也可以用于其他类似的堆栈式信息，比如 linux 的内核日志。

input { kafka { ## app-log-服务名称 topics_pattern => "app-log-.*" bootstrap_servers => "192.168.11.51:9092" codec => json consumer_threads => 1 ## 增加consumer的并行消费线程数 decorate_events => true #auto_offset_rest => "latest" group_id => "app-log-group" } kafka { ## error-log-服务名称 topics_pattern => "error-log-.*" bootstrap_servers => "192.168.11.51:9092" codec => json consumer_threads => 1 decorate_events => true #auto_offset_rest => "latest" group_id => "error-log-group" } }filter { ## 时区转换 ruby { code => "event.set('index_time',event.timestamp.time.localtime.strftime('%Y.%m.%d'))" } if "app-log" in [fields][logtopic]{ grok { ## 表达式,这里对应的是Springboot输出的日志格式 match => ["message", "[%{NOTSPACE:currentDateTime}] [%{NOTSPACE:level}] [%{NOTSPACE:thread-id}] [%{NOTSPACE:class}] [%{data:hostName}] [%{data:ip}] [%{data:applicationName}] [%{data:location}] [%{data:messageInfo}] ## (''|%{QUOTEDSTRING:throwable})"] } } if "error-log" in [fields][logtopic]{ grok { ## 表达式 match => ["message", "[%{NOTSPACE:currentDateTime}] [%{NOTSPACE:level}] [%{NOTSPACE:thread-id}] [%{NOTSPACE:class}] [%{data:hostName}] [%{data:ip}] [%{data:applicationName}] [%{data:location}] [%{data:messageInfo}] ## (''|%{QUOTEDSTRING:throwable})"] } } }## 测试输出到控制台：output { stdout { codec => rubydebug }}## elasticsearch：output { if "app-log" in [fields][logtopic]{ ## es插件 elasticsearch { # es服务地址 hosts => ["192.168.11.35:9200"] # 用户名密码 user => "elastic" password => "123456" ## 索引名，+ 号开头的，就会自动认为后面是时间格式： ## javalog-app-service-2019.01.23 index => "app-log-%{[fields][logbiz]}-%{index_time}" # 是否嗅探集群ip：一般设置true；http://192.168.11.35:9200/_nodes/http?pretty # 通过嗅探机制进行es集群负载均衡发日志消息 sniffing => true # logstash默认自带一个mapping模板，进行模板覆盖 template_overwrite => true } } if "error-log" in [fields][logtopic]{ elasticsearch { hosts => ["192.168.11.35:9200"] user => "elastic" password => "123456" index => "error-log-%{[fields][logbiz]}-%{index_time}" sniffing => true template_overwrite => true } } }

启动logstash

/usr/local/logstash-6.6.0/bin/logstash -f /usr/local/logstash-6.6.0/script/logstash-script.conf &

等待启动成功，我们再次访问

192.168.11.31:8001/err

可以看到控制台开始打印日志