基于flume的日志系统

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思路

1. 日志统一输出至kafka
2. flume agent充当kafka消费者,将日志输出至elasticsearch
3. kibana负责展示日志信息

准备工作

1. flume 1.8 kafka 1.1.0 elasticsearch&kibana 6.5.4
2. 项目中一般使用log4j等日志框架，需自定义JsonLayout
3. flume支持的elasticsearch较低，需自定义flume es sink
4. elasticsearch默认使用utc时间，日志时间需保持一致

JsonLayout

只需要在自定义的JsonLayout中构造一个PatternLayout帮助format日志消息即可 日志格式内容如下

public class JsonLogBean {
    private String system;
    private String ip;
    private String message;
    private String level;
    private String time;
    
    //get set 略
    public JsonLogBean(){}

    public JsonLogBean(String system, String ip,String message, String level, String time) {
        this.system = system;
        this.ip = ip;
        this.message = message;
        this.level = level;
        this.time = time;
    }

}

log4j1

public class JsonPartternLayout extends PatternLayout{

    private String system;

    //PatternLayout 默认将异常交给WriterAppender处理 这里改为false
    public boolean ignoresThrowable() {
        return false;
    }

    private static String ip;

    private static SimpleDateFormat utcFormater;

    static {
        utcFormater = new SimpleDateFormat("yyyy-MM-dd‘T‘HH:mm:ss.SSS‘Z‘");
        utcFormater.setTimeZone(TimeZone.getTimeZone("UTC"));//时区定义并进行时间获取
        try {
            ip = InetAddress.getLocalHost().getHostAddress();
        } catch (UnknownHostException e) {
            //ignore
        }
    }


    @Override
    public String format(LoggingEvent event) {
        StringBuilder sb = new StringBuilder();
        sb.append(super.format(event));
        String[] s = event.getThrowableStrRep();
        if (s != null) {
            int len = s.length;
            for (int i = 0; i < len; i++) {
                sb.append(s[i]);
                sb.append("\n");
            }
        }
        String time = utcFormater.format(new Date(event.getTimeStamp()));
        return JSON.toJSONString(new JsonLogBean(system, ip, sb.toString(), event.getLevel().toString(), time)) + "\n";

    }

    public String getSystem() {
        return system;
    }

    public void setSystem(String system) {
        this.system = system;
    }
}

log4j2

@Plugin(name = "JsonPartternLayout", category = Node.CATEGORY, elementType = Layout.ELEMENT_TYPE, printObject = true)
public class JsonPartternLayout extends AbstractStringLayout {

    private PatternLayout patternLayout;

    private String system;

    private static String ip;

    private static SimpleDateFormat utcFormater;

    static {
        utcFormater = new SimpleDateFormat("yyyy-MM-dd‘T‘HH:mm:ss.SSS‘Z‘");
        utcFormater.setTimeZone(TimeZone.getTimeZone("UTC"));//时区定义并进行时间获取
        try {
            ip = InetAddress.getLocalHost().getHostAddress();
        } catch (UnknownHostException e) {
            //ignore
        }

    }

    public JsonPartternLayout(final Configuration config, final RegexReplacement replace, final String eventPattern,
             final PatternSelector patternSelector, final Charset charset, final boolean alwaysWriteExceptions,
             final boolean disableAnsi, final boolean noConsoleNoAnsi, final String headerPattern,
             final String footerPattern, final String system) {
        super(config, charset,
                newSerializerBuilder()
                        .setConfiguration(config)
                        .setReplace(replace)
                        .setPatternSelector(patternSelector)
                        .setAlwaysWriteExceptions(alwaysWriteExceptions)
                        .setDisableAnsi(disableAnsi)
                        .setNoConsoleNoAnsi(noConsoleNoAnsi)
                        .setPattern(headerPattern)
                        .build(),
                newSerializerBuilder()
                        .setConfiguration(config)
                        .setReplace(replace)
                        .setPatternSelector(patternSelector)
                        .setAlwaysWriteExceptions(alwaysWriteExceptions)
                        .setDisableAnsi(disableAnsi)
                        .setNoConsoleNoAnsi(noConsoleNoAnsi)
                        .setPattern(footerPattern)
                        .build());

        this.patternLayout = PatternLayout.newBuilder()
                .withPattern(eventPattern)
                .withPatternSelector(patternSelector)
                .withConfiguration(config)
                .withRegexReplacement(replace)
                .withCharset(charset)
                .withDisableAnsi(disableAnsi)
                .withAlwaysWriteExceptions(alwaysWriteExceptions)
                .withNoConsoleNoAnsi(noConsoleNoAnsi)
                .withHeader(headerPattern)
                .withFooter(footerPattern)
                .build();
        this.system = system;
    }

    /**
     *
     * @param event
     * @return
     */
    public String toSerializable(LogEvent event) {
        String msg = this.patternLayout.toSerializable(event);
        String time = utcFormater.format(new Date(event.getTimeMillis()));
        return JSON.toJSONString(new JsonLogBean(system, ip,msg, event.getLevel().name(), time)) + "\n";
    }


    @PluginBuilderFactory
    public static Builder newBuilder() {
        return new Builder();
    }

    /**
     *
     */
    public static class Builder implements org.apache.logging.log4j.core.util.Builder<JsonPartternLayout> {

        @PluginBuilderAttribute
        private String pattern = DEFAULT_CONVERSION_PATTERN;

        @PluginElement("PatternSelector")
        private PatternSelector patternSelector;

        @PluginConfiguration
        private Configuration configuration;

        @PluginElement("Replace")
        private RegexReplacement regexReplacement;

        // LOG4J2-783 use platform default by default
        @PluginBuilderAttribute
        private Charset charset = Charset.defaultCharset();

        @PluginBuilderAttribute
        private boolean alwaysWriteExceptions = true;

        @PluginBuilderAttribute
        private boolean disableAnsi = !useAnsiEscapeCodes();

        @PluginBuilderAttribute
        private boolean noConsoleNoAnsi;

        @PluginBuilderAttribute
        private String header;

        @PluginBuilderAttribute
        private String footer;

        @PluginBuilderAttribute
        private String system;

        private Builder() {
        }

        private boolean useAnsiEscapeCodes() {
            PropertiesUtil propertiesUtil = PropertiesUtil.getProperties();
            boolean isPlatformSupportsAnsi = !propertiesUtil.isOsWindows();
            boolean isJansiRequested = !propertiesUtil.getBooleanProperty("log4j.skipJansi", true);
            return isPlatformSupportsAnsi || isJansiRequested;
        }


        public JsonPartternLayout build() {
            // fall back to DefaultConfiguration
            if (configuration == null) {
                configuration = new DefaultConfiguration();
            }
            return new JsonPartternLayout(configuration, regexReplacement, pattern, patternSelector, charset,
                    alwaysWriteExceptions, disableAnsi, noConsoleNoAnsi, header, footer, system);
        }
    }

}

Es Sink

这里我们直接在flume-ng-elasticsearch-sink的源码上做修改，为避免冲突我改了相关的包名 源码见这里 pom配置如下

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.apache.flume</groupId>
    <artifactId>flume-ng-high-eslog-sink</artifactId>
    <version>1.8</version>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.rat</groupId>
                <artifactId>apache-rat-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

    <dependencies>

        <dependency>
            <groupId>org.apache.flume</groupId>
            <artifactId>flume-ng-sdk</artifactId>
            <version>1.8.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flume</groupId>
            <artifactId>flume-ng-core</artifactId>
            <version>1.8.0</version>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>6.5.4</version>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>transport</artifactId>
            <version>6.5.4</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.6.1</version>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.6.1</version>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>commons-lang</groupId>
            <artifactId>commons-lang</artifactId>
            <version>2.5</version>
        </dependency>

        <dependency>
            <groupId>com.google.guava</groupId>
            <artifactId>guava</artifactId>
            <version>11.0.2</version>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>RELEASE</version>
        </dependency>

    </dependencies>
</project>
        

flume-ng-elasticsearch-sink的源码还是比较少的，以下几个比较重要的改动点

将elasticsearch lib下的jar包copy到flume lib下 以下是我copy到flume的相关jar包 如果有jar缺失或冲突查看下flume的日志很容易就能够解决

-rw-r--r--@ 1 zhanghuan  staff    10M  1  4 22:26 elasticsearch-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff    16K  1  4 22:26 elasticsearch-cli-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff    36K  1  4 22:26 elasticsearch-core-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff    12K  1  4 22:26 elasticsearch-launchers-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff    11K  1  4 22:26 elasticsearch-secure-sm-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff   110K  1  4 22:26 elasticsearch-x-content-6.5.4.jar
-rw-r--r--@ 1 zhanghuan  staff   1.6M  1  4 22:37 lucene-analyzers-common-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff    98K  1  4 22:37 lucene-backward-codecs-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   2.9M  1  4 22:37 lucene-core-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff    85K  1  4 22:37 lucene-grouping-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   202K  1  4 22:37 lucene-highlighter-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   143K  1  4 22:37 lucene-join-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff    50K  1  4 22:37 lucene-memory-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff    93K  1  4 22:37 lucene-misc-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   259K  1  4 22:37 lucene-queries-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   373K  1  4 22:37 lucene-queryparser-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   259K  1  4 22:37 lucene-sandbox-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff    14K  1  4 22:37 lucene-spatial-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   231K  1  4 22:37 lucene-spatial-extras-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   295K  1  4 22:37 lucene-spatial3d-7.5.0.jar
-rw-r--r--@ 1 zhanghuan  staff   240K  1  4 22:37 lucene-suggest-7.5.0.jar
-rw-r--r--  1 zhanghuan  staff   7.4K  1  7 23:04 transport-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff    77K  1  7 23:08 transport-netty4-client-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff   107K  1  7 23:10 reindex-client-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff    72K  1  7 23:11 percolator-client-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff    60K  1  7 23:12 lang-mustache-client-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff    75K  1  7 23:13 parent-join-client-6.5.4.jar
-rw-r--r--  1 zhanghuan  staff   1.1M  1  7 23:16 hppc-0.7.1.jar
-rw-r--r--  1 zhanghuan  staff   258K  1  7 23:18 log4j-api-2.11.1.jar
-rw-r--r--  1 zhanghuan  staff   1.5M  1  7 23:19 log4j-core-2.11.1.jar
-rw-r--r--  1 zhanghuan  staff    50K  1  8 19:29 t-digest-3.2.jar
-rw-r--r--@ 1 zhanghuan  staff   3.6M  1  8 19:38 netty-all-4.1.25.Final.jar
-rw-r--r--@ 1 zhanghuan  staff   276K  1  8 19:42 jackson-core-2.8.11.jar
-rw-r--r--@ 1 zhanghuan  staff    50K  1  8 19:42 jackson-dataformat-cbor-2.8.11.jar
-rw-r--r--@ 1 zhanghuan  staff    72K  1  8 19:42 jackson-dataformat-smile-2.8.11.jar
-rw-r--r--@ 1 zhanghuan  staff    40K  1  8 19:42 jackson-dataformat-yaml-2.8.11.jar
-rw-r--r--  1 zhanghuan  staff    28K  1 10 21:33 flume-ng-high-eslog-sink-1.8.jar
-rw-r--r--@ 1 zhanghuan  staff    62K  1 12 19:35 log4j-1.2-api-2.11.1.jar

测试

这里我们使用log4j2 配置如下

<?xml version="1.0" encoding="UTF-8"?>
<Configuration status="WARN" packages="com.mine.log">
    <Appenders>
        <Console name="Console" target="SYSTEM_OUT">
            <PatternLayout pattern="%d{yyyy-MM-dd HH:mm:ss.SSS}[%t] %-5p %c %msg%xEx%n" />
        </Console>

        <Kafka name="Kafka" topic="test1">
            <JsonPartternLayout system = "mlog" pattern = "[%t] %c %msg%xEx%n"/>
            <Property name="bootstrap.servers">localhost:9092</Property>
        </Kafka>
    </Appenders>

    <Loggers>
        <Root level="debug">
            <AppenderRef ref="Console"/>
            <AppenderRef ref="Kafka"/>
        </Root>
    </Loggers>
</Configuration>

测试代码

public class LogTest {

    private static final Logger logger = LogManager.getLogger(LogTest.class);

    @org.junit.Test
    public void test() {
        logger.info("输出信息……");
        logger.trace("随意打印……");
        logger.debug("调试信息……");
        logger.warn( "警告信息……");
        try {
            new Thread(new Runnable() {
                public void run() {
                    logger.warn("test……");
                }
            }).start();
            LogTest.class.getClass().forName("123");
        } catch (Exception e) {
            logger.error("处理业务逻辑的时候发生一个错误……", e);
        }
    }
}

flume配置

#Name the components on this agent
agent.sources = r1
agent.sinks = k1
agent.channels = c1

#Describe/configure the source
agent.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
agent.sources.r1.channels = channel1
agent.sources.r1.batchSize = 5000
agent.sources.r1.batchDurationMillis = 2000
agent.sources.r1.kafka.bootstrap.servers = localhost:9092
agent.sources.r1.kafka.topics = test1
agent.sources.r1.kafka.consumer.group.id = custom.g.id

#Describe the sink
agent.sinks.k1.type = org.apache.flume.sink.hielasticsearch.ElasticSearchSink
agent.sinks.k1.hostNames = 127.0.0.1:9300
agent.sinks.k1.indexName = log_index
agent.sinks.k1.indexType = log_table
#agent.sinks.k1.clusterName = log_cluster
agent.sinks.k1.batchSize = 500
agent.sinks.k1.ttl = 5d
agent.sinks.k1.serializer = org.apache.flume.sink.hielasticsearch.ElasticSearchDynamicSerializer

#Use a channel which buffers events in memory
agent.channels.c1.type = memory
agent.channels.c1.capacity = 1000
agent.channels.c1.transactionCapacity = 100

#Bind the source and sink to the channel
agent.sources.r1.channels = c1
agent.sinks.k1.channel = c1

启动kafka flume elasticsearch kibana即可 配置相关基本下载即用我就略过了哈 日志展示如下

基于flume的日志系统

标签：bin   eth   header   return   mile   bubuko   windows   直接   tar   

原文地址：https://www.cnblogs.com/adia/p/10261273.html