Flink Stream日志写入Kafka集群

Flink Stream的输出日志，直接输出的Kafka集群，进行持久化。

一、log4j.properties文件配置

log4j.rootLogger=INFO,file,kafka

log4j.logger.org.apache.kafka=INFO

###################################################
# 输出的日志，写入文件
###################################################
# appender file
log4j.appender.file=org.apache.log4j.RollingFileAppender
#设置log文件名
log4j.appender.file.file=logs/test.log
#log是否追加
log4j.appender.file.append=true
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss,SSS} %-5p %-60c %x - %m%n
#文件大小
log4j.appender.file.MaxFileSize=100MB
#文件保留个数
log4j.appender.file.MaxBackupIndex=5

#####################################################
# 输出的日志写入kafka
#####################################################
#输出日志到kafka
log4j.appender.kafka=org.apache.kafka.log4jappender.KafkaLog4jAppender
#设置topic
log4j.appender.kafka.topic=pro-log
#设置kafka连接地址
log4j.appender.kafka.brokerList=localhost:9092
log4j.appender.kafka.compressionType=none
log4j.appender.kafka.requiredNumAcks=0
#设置是否异步
log4j.appender.kafka.syncSend=false
log4j.appender.kafka.layout=org.apache.log4j.PatternLayout
log4j.appender.kafka.layout.ConversionPattern=%d [%-5p] [%t] - [%l] %m%n
# Suppress the irrelevant (wrong) warnings from the Netty channel handler
log4j.logger.org.apache.flink.shaded.akka.org.jboss.netty.channel.DefaultChannelPipeline=ERROR, file

二、测试代码

public class KafkaDemo {
    public static void main(String[] args) throws Exception {

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
        env.setParallelism(1);

        Properties p = new Properties();
        p.setProperty("bootstrap.servers", "localhost:9092");

        DataStreamSource<String> ds = env.addSource(new FlinkKafkaConsumer010<String>("pro-log2", new SimpleStringSchema(), p));
        ds.print();

        env.execute("KafkaDemo");
    }
}

三、消费Kafka的数据

./kafka-console-consumer.sh --zookeeper localhost:2181 --from-beginning --topic pro-log