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摘要: 原创出处 jiandansuifeng.blog.csdn.net/article/details/107361190 「简单随风」欢迎转载,保留摘要,谢谢!


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整体流程大概如下:

图片

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

图片

SpringBoot项目准备

引入log4j2替换SpringBoot默认log,demo项目结构如下:

图片

pom

<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
<!-- 排除spring-boot-starter-logging -->
<exclusions>
<exclusion>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-logging</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- log4j2 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-log4j2</artifactId>
</dependency>
<dependency>
<groupId>com.lmax</groupId>
<artifactId>disruptor</artifactId>
<version>3.3.4</version>
</dependency>
</dependencies>

log4j2.xml

<?xml version="1.0" encoding="UTF-8"?>
<Configuration status="INFO" schema="Log4J-V2.0.xsd" monitorInterval="600" >
<Properties>
<Property name="LOG_HOME">logs</Property>
<property name="FILE_NAME">collector</property>
<property name="patternLayout">[%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</property>
</Properties>
<Appenders>
<Console name="CONSOLE" target="SYSTEM_OUT">
<PatternLayout pattern="${patternLayout}"/>
</Console>
<RollingRandomAccessFile name="appAppender" fileName="${LOG_HOME}/app-${FILE_NAME}.log" filePattern="${LOG_HOME}/app-${FILE_NAME}-%d{yyyy-MM-dd}-%i.log" >
<PatternLayout pattern="${patternLayout}" />
<Policies>
<TimeBasedTriggeringPolicy interval="1"/>
<SizeBasedTriggeringPolicy size="500MB"/>
</Policies>
<DefaultRolloverStrategy max="20"/>
</RollingRandomAccessFile>
<RollingRandomAccessFile name="errorAppender" fileName="${LOG_HOME}/error-${FILE_NAME}.log" filePattern="${LOG_HOME}/error-${FILE_NAME}-%d{yyyy-MM-dd}-%i.log" >
<PatternLayout pattern="${patternLayout}" />
<Filters>
<ThresholdFilter level="warn" onMatch="ACCEPT" onMismatch="DENY"/>
</Filters>
<Policies>
<TimeBasedTriggeringPolicy interval="1"/>
<SizeBasedTriggeringPolicy size="500MB"/>
</Policies>
<DefaultRolloverStrategy max="20"/>
</RollingRandomAccessFile>
</Appenders>
<Loggers>
<!-- 业务相关 异步logger -->
<AsyncLogger name="com.bfxy.*" level="info" includeLocation="true">
<AppenderRef ref="appAppender"/>
</AsyncLogger>
<AsyncLogger name="com.bfxy.*" level="info" includeLocation="true">
<AppenderRef ref="errorAppender"/>
</AsyncLogger>
<Root level="info">
<Appender-Ref ref="CONSOLE"/>
<Appender-Ref ref="appAppender"/>
<AppenderRef ref="errorAppender"/>
</Root>
</Loggers>
</Configuration>

IndexController

测试Controller,用以打印日志进行调试

@Slf4j
@RestController
public 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<prefix.length; i++){
String p = prefix[i];
if("*".equals(p)){ //*, assumed to be IP
if(ip.startsWith("127.") ||
ip.startsWith("10.") ||
ip.startsWith("172.") ||
ip.startsWith("192.")){
continue;
}
return i;
} else {
if(ip.startsWith(p)){
return i;
}
}
}

return -1;
}

public static String getLocalIp(String ipPreference) {
if(ipPreference == null){
ipPreference = "*>10>172>192>127";
}
String[] prefix = ipPreference.split("[> ]+");
try {
Pattern pattern = Pattern.compile("[0-9]+\\.[0-9]+\\.[0-9]+\\.[0-9]+");
Enumeration<NetworkInterface> interfaces = NetworkInterface.getNetworkInterfaces();
String matchedIp = null;
int matchedIdx = -1;
while (interfaces.hasMoreElements()) {
NetworkInterface ni = interfaces.nextElement();
Enumeration<InetAddress> 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/ero接口,可以看到项目中生成了app-collector.logerror-collector.log两个日志文件

图片

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=0
port=9092
host.name=192.168.11.51
advertised.host.name=192.168.11.51
log.dirs=/usr/local/kafka_2.12/kafka-logs
num.partitions=2
zookeeper.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 1
kafka-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-collectorerror-log-collector两个topic

图片

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/local
mv 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

``YAML 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: 1 logging.to_files: true


**filebeat启动:**

检查配置是否正确

```Java
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

图片

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

图片

ElasticSearch与Kibana

图片

ES和Kibana的搭建之前没写过博客,网上资料也比较多,大家可以自行搜索。

搭建完成后,访问Kibana的管理页面192.168.11.35:5601,选择Management -> Kinaba - Index Patterns

图片

然后Create index pattern

  • index pattern 输入 app-log-*
  • Time Filter field name 选择 currentDateTime

这样我们就成功创建了索引。

我们再次访问192.168.11.31:8001/err,这个时候就可以看到我们已经命中了一条log信息

图片

里面展示了日志的全量信息

图片

到这里,我们完整的日志收集及可视化就搭建完成了!

文章目录
  1. 1. 服务器准备
  2. 2. SpringBoot项目准备
    1. 2.0.1. pom
    2. 2.0.2. log4j2.xml
    3. 2.0.3. IndexController
    4. 2.0.4. InputMDC
    5. 2.0.5. NetUtil
  • 3. Kafka安装和启用
  • 4. filebeat安装和启用
    1. 4.1. app-服务名称.log, 为什么写死,防止发生轮转抓取历史数据
  • 5. logstash安装
  • 6. ElasticSearch与Kibana