Flink 读取 本地日志文件
在 Flink 中,可以使用 StreamExecutionEnvironment 的 readTextFile() 或者 addSource() 来读取本地日志文件。
使用 readTextFile() 方法读取本地日志文件示例如下所示:
点击查看代码
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
public class ReadLocalLogs {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// 设置并行度为1(便于调试)
env.setParallelism(1);
String logPath = "/path/to/local/logs";
DataStream<String> logs = env.readTextFile(logPath);
// 对每条日志进行处理操作
logs.print();
env.execute("Read Local Logs");
}
}
2、上面的代码会将指定路径下的日志文件逐行读入到 Flink 程序中,然后通过 .print() 打印输出。
使用 addSource() 方法自定义数据源读取本地日志文件示例如下所示:
点击查看代码
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.RichSourceFunction;
import java.io.*;
public class CustomDataSource implements RichSourceFunction<String> {
private volatile boolean isRunning = true;
private BufferedReader reader;
@Override
public void open(Configuration parameters) throws Exception {
File file = new File("/path/to/local/logs");
InputStream inputStream = new FileInputStream(file);
reader = new BufferedReader(new InputStreamReader(inputStream));
}
@Override
public void run(SourceContext<String> ctx) throws Exception {
while (isRunning && !Thread.currentThread().isInterrupted()) {
String line = reader.readLine();
if (line != null) {
ctx.collect(line);
} else {
Thread.sleep(500);
}
}
}
@Override
public void cancel() {
isRunning = false;
}
}
public class MainClass {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
// 创建自定义数据源
DataStream<String> logs = env.addSource(new CustomDataSource());
// 对每条日志进行处理操作
logs.print();
env.execute("Custom Source Example");
}
}
注意:需要根据实际情况修改 /path/to/local/logs 为正确的本地日志文件路径。