Dropwizard自定义AppenderFactory无法识别

时间:2017-06-13 19:42:22

标签: dropwizard

我正在尝试为Splunk HTTP事件收集器实现自定义AppenderFactory。我写了一个简单的类,如下,

package com.example.app;

import ch.qos.logback.classic.LoggerContext;
import ch.qos.logback.classic.spi.ILoggingEvent;
import ch.qos.logback.core.Appender;
import ch.qos.logback.core.AppenderBase;
import com.fasterxml.jackson.annotation.JsonTypeName;
import io.dropwizard.logging.AbstractAppenderFactory;
import io.dropwizard.logging.async.AsyncAppenderFactory;
import io.dropwizard.logging.filter.LevelFilterFactory;
import io.dropwizard.logging.layout.LayoutFactory;

@JsonTypeName("splunk")
public class SplunkAppenderFactory extends AbstractAppenderFactory{

    @Override
    public Appender build(LoggerContext context, String applicationName, LayoutFactory layoutFactory, LevelFilterFactory levelFilterFactory, AsyncAppenderFactory asyncAppenderFactory) {
        System.out.println("Setting up SplunkAppenderFactory!");
        final SplunkAppender appender = new SplunkAppender();
        appender.setName("splunk-appender");
        appender.setContext(context);
        appender.start();

        return wrapAsync(appender, asyncAppenderFactory);
    }
}

class SplunkAppender extends AppenderBase<ILoggingEvent> {

    @Override
    protected void append(ILoggingEvent eventObject) {
        System.out.println("Splunk: "+ eventObject.toString());
    }
}

据说我们不需要连接任何东西,因为Dropwizard会自动扫描和连接东西。但是当我运行应用程序时,我得到了这个错误,

  

./ infrastructure / config / config.yml有错误:     *无法解析配置:logging.appenders。[2];无法将类型ID“splunk”解析为[simple type,class io.dropwizard.logging.AppenderFactory]的子类型:已知类型ids = [AppenderFactory,console,file,syslog]    在[资料来源:N / A; line:-1,column:-1](通过引用链:com.example.app.AppConfiguration [“logging”] - &gt; io.dropwizard.logging.DefaultLoggingFactory [“appenders”] - &gt; java.util.ArrayList [2])

我的app.config如下,

logging:
  appenders:
      # log format: <Level> - <Time> - <Revision> - <Environment> - <Thread> - <Log Content>
      - type: console
        logFormat: "%level %d{HH:mm:ss.SSS} %mdc{revision} %mdc{environment} '%mdc{user}' %t %logger{5} - %X{code} %msg %n"
        threshold: ${CONSOLE_LOG_LEVEL:-ERROR}
      - type: file
        threshold: INFO
        logFormat: "%level %d{HH:mm:ss.SSS} %mdc{revision} %mdc{environment} '%mdc{user}' %t %logger{5} - %X{code} %msg %n"
        # The file to which current statements will be logged.
        currentLogFilename: ./logs/app.log
        # When the log file rotates, the archived log will be renamed to this and gzipped. The
        # %d is replaced with the previous day (yyyy-MM-dd). Custom rolling windows can be created
        # by passing a SimpleDateFormat-compatible format as an argument: "%d{yyyy-MM-dd-hh}".
        archivedLogFilenamePattern: ./logs/app-%d.log.gz
        # The number of archived files to keep.
        archivedFileCount: 10
        # The timezone used to format dates. HINT: USE THE DEFAULT, UTC.
        timeZone: UTC
      - type: splunk
        logFormat: "%level %d{HH:mm:ss.SSS} %mdc{revision} %mdc{environment} '%mdc{user}' %t %logger{5} - %X{code} %msg %n"
        threshold: INFO

我怎样才能完成这项工作?

1 个答案:

答案 0 :(得分:3)

您可能必须创建一个名为:

的文件
 META-INF/services/io.dropwizard.logging.AppenderFactory

在项目的资源文件夹中,此文件的内容是可用的Appender类(或多个类)的完全限定名称:

com.example.app.SplunkAppenderFactory

核心DW项目还包含带有默认appender的文件:

https://github.com/dropwizard/dropwizard/blob/v1.1.0/dropwizard-logging/src/main/resources/META-INF/services/io.dropwizard.logging.AppenderFactory