要获取Flink的运行日志并通过HTTP协议远程发送,可以使用Flink自带的日志库log4j来实现。下面是一个示例代码,展示如何在Flink作业中获取运行日志并通过HTTP协议发送到远程服务器:

import org.apache.flink.api.common.functions.RuntimeContext;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;
import org.apache.flink.util.ExceptionUtils;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;

public class Log4jHttpSink extends RichSinkFunction<String> {

    private static final Logger LOG = LogManager.getLogger(Log4jHttpSink.class);
    private static final String LOG_SERVER_URL = "http://your-log-server.com/log-receiver";

    @Override
    public void open(Configuration parameters) throws Exception {
        super.open(parameters);
        LOG.info("Initializing log4j HTTP sink");
    }

    @Override
    public void invoke(String value, Context context) throws Exception {
        LOG.info(value);
        sendLogToServer(value);
    }

    private void sendLogToServer(String log) {
        try {
            URL url = new URL(LOG_SERVER_URL);
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();
            connection.setRequestMethod("POST");
            connection.setDoOutput(true);
            connection.setRequestProperty("Content-Type", "text/plain");

            try (OutputStream outputStream = connection.getOutputStream()) {
                outputStream.write(log.getBytes());
            }

            int responseCode = connection.getResponseCode();
            if (responseCode != HttpURLConnection.HTTP_OK) {
                LOG.error("Failed to send log to server. Response code: " + responseCode);
            }
        } catch (IOException e) {
            LOG.error("Failed to send log to server: " + ExceptionUtils.stringifyException(e));
        }
    }

    public static void main(String[] args) throws Exception {
        final ParameterTool parameterTool = ParameterTool.fromArgs(args);
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.getConfig().setGlobalJobParameters(parameterTool);

        env.fromElements("Log message 1", "Log message 2", "Log message 3")
                .addSink(new Log4jHttpSink());

        env.execute("Sending Flink logs to remote server via HTTP");
    }
}

在上面的代码中,我们定义了一个Log4jHttpSink类,继承自RichSinkFunction,它通过Log4j来记录Flink作业的日志,并通过HTTP协议将日志发送到远程服务器。invoke方法用于处理每条日志记录,将日志发送到远程服务器。sendLogToServer方法负责发送日志到远程服务器的URL地址。

main函数中,我们创建了一个StreamExecutionEnvironment实例,并使用fromElements方法创建了一个有限的数据流。然后,我们将Log4jHttpSink作为addSink方法的参数,将其作为sink函数添加到数据流中。最后,调用execute方法启动Flink作业。

要运行此代码,您需要在LOG_SERVER_URL变量中提供远程服务器的URL地址,然后将其打包成JAR文件,并在Flink集群上提交作业

flink如何获取运行日志并通过http协议远程发送并写出远程服务器代码

原文地址: https://www.cveoy.top/t/topic/hXT5 著作权归作者所有。请勿转载和采集!

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