com.plumelog.log4j2.appender.KafkaAppender Maven / Gradle / Ivy

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package com.plumelog.log4j2.appender;

import com.plumelog.core.MessageAppenderFactory;
import com.plumelog.core.constant.LogMessageConstant;
import com.plumelog.core.dto.BaseLogMessage;
import com.plumelog.core.dto.RunLogMessage;
import com.plumelog.core.kafka.KafkaProducerClient;
import com.plumelog.core.util.GfJsonUtil;
import com.plumelog.core.util.ThreadPoolUtil;
import com.plumelog.log4j2.util.LogMessageUtil;
import org.apache.logging.log4j.core.Filter;
import org.apache.logging.log4j.core.Layout;
import org.apache.logging.log4j.core.LogEvent;
import org.apache.logging.log4j.core.appender.AbstractAppender;
import org.apache.logging.log4j.core.config.plugins.Plugin;
import org.apache.logging.log4j.core.config.plugins.PluginAttribute;
import org.apache.logging.log4j.core.config.plugins.PluginElement;
import org.apache.logging.log4j.core.config.plugins.PluginFactory;

import java.io.Serializable;
import java.util.concurrent.ThreadPoolExecutor;

/**
 * className：KafkaAppender
 * description：KafkaAppender 如果使用kafka作为队列用这个KafkaAppender输出
 *
 * @author Frank.chen
 * @version 1.0.0
 */
@Plugin(name = "KafkaAppender", category = "Core", elementType = "appender", printObject = true)
public class KafkaAppender extends AbstractAppender {
    private static KafkaProducerClient kafkaClient;
    private String appName;
    private String kafkaHosts;
    private String runModel;
    private String expand;
    private int maxCount=500;

    protected KafkaAppender(String name, String appName, String kafkaHosts, String runModel, Filter filter, Layout layout,
                            final boolean ignoreExceptions, String expand,int maxCount) {
        super(name, filter, layout, ignoreExceptions);
        this.appName = appName;
        this.kafkaHosts = kafkaHosts;
        this.runModel = runModel;
        this.expand = expand;
        this.maxCount=maxCount;

    }

    @Override
    public void append(LogEvent logEvent) {
        final BaseLogMessage logMessage = LogMessageUtil.getLogMessage(appName, logEvent);
        if (logMessage instanceof RunLogMessage) {
            final String message = LogMessageUtil.getLogMessage(logMessage, logEvent);
            MessageAppenderFactory.pushRundataQueue(message);
        } else {
            MessageAppenderFactory.pushTracedataQueue(GfJsonUtil.toJSONString(logMessage));
        }

    }
    private static ThreadPoolExecutor threadPoolExecutor
            = ThreadPoolUtil.getPool();
    @PluginFactory
    public static KafkaAppender createAppender(
            @PluginAttribute("name") String name,
            @PluginAttribute("appName") String appName,
            @PluginAttribute("kafkaHosts") String kafkaHosts,
            @PluginAttribute("topic") String topic,
            @PluginAttribute("expand") String expand,
            @PluginAttribute("runModel") String runModel,
            @PluginAttribute("maxCount") int maxCount,
            @PluginElement("Layout") Layout layout,
            @PluginElement("Filter") final Filter filter) {
        if (runModel != null) {
            LogMessageConstant.RUN_MODEL = Integer.parseInt(runModel);
        }
        if (kafkaClient == null) {
            kafkaClient = KafkaProducerClient.getInstance(kafkaHosts);
        }
        if (expand != null && LogMessageConstant.EXPANDS.contains(expand)) {
            LogMessageConstant.EXPAND = expand;
        }
        if(maxCount==0){
            maxCount=100;
        }
        final int count=maxCount;
        for(int a=0;a<5;a++){

            threadPoolExecutor.execute(()->{

                MessageAppenderFactory.startRunLog(kafkaClient,count);
            });
            threadPoolExecutor.execute(()->{

                MessageAppenderFactory.startTraceLog(kafkaClient,count);
            });
        }
        return new KafkaAppender(name, appName, kafkaHosts, runModel, filter, layout, true, expand,maxCount);
    }
}