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鲁春利的工作笔记，好记性不如烂笔头
Flume1.6.0增加了对kafka的完全支持：
Flume Sink and Source for Apache Kafka
A new channel that uses Kafka
Kafka Source（http://flume.apache.org/FlumeUserGuide.html#kafka-source）
Kafka Source is an Apache Kafka consumer that reads messages from a Kafka topic.
If you have multiple Kafka sources running, you can configure them with the same Consumer Group
so each will read a unique set of partitions for the topic.
File Channel（http://flume.apache.org/FlumeUserGuide.html#file-channel）
HBase Sink（http://flume.apache.org/FlumeUserGuide.html#hbasesink）
The type is the FQCN: org.apache.flume.sink.hbase.HBaseSink.
Kafka生成的topic为myhbase
[hadoop@nnode kafka0.8.2.1]$ bin/kafka-topics.sh --create --zookeeper nnode:2181,dnode1:2181,dnode2:2181 --replication-factor 1 --partitions 1 --topic myhbase
Created topic "myhbase".
[hadoop@nnode kafka0.8.2.1]$ bin/kafka-topics.sh --list --zookeeper nnode:2181,dnode1:2181,dnode2:2181
myhbase
mykafka
mytopic - marked for deletion
test - marked for deletion
[hadoop@nnode kafka0.8.2.1]$
HBase表结构
[hadoop@nnode kafka0.8.2.1]$ hbase shell
HBase Shell; enter 'help' for list of supported commands.
Type "exit" to leave the HBase Shell
Version 1.0.1, r66a93c09df3b12ff7b86c39bc8475c60e15af82d, Fri Apr 17 22:14:06 PDT 2015
表名：t_inter_log
列族：cf
Flume配置文件
vim conf/kafka-hbase.conf
# read from kafka and write to hbase
agent.sources = kafka-source
agent.channels = mem-channel
agent.sinks = hbase-sink
# source
agent.sources.kafka-source.type = org.apache.flume.source.kafka.KafkaSource
agent.sources.kafka-source.zookeeperConnect = nnode:2181,dnode1:2181,dnode2:2181
agent.sources.kafka-source.groupId = flume
agent.sources.kafka-source.topic = myhbase
agent.sources.kafka-source.kafka.consumer.timeout.ms = 100
# channel
agent.channels.mem-channel.type = memory
# sink
agent.sinks.hbase-sink.type = hbase
agent.sinks.hbase-sink.table = t_inter_log
agent.sinks.hbase-sink.columnFamily = cf
# agent.sinks.hbase-sink.serializer = org.apache.flume.sink.hbase.RegexHbaseEventSerializer
# assemble
agent.sources.kafka-source.channels = mem-channel
agent.sinks.hbase-sink.channel = mem-channel
启动Kafka
[hadoop@nnode kafka0.8.2.1]# bin/kafka-server-start.sh config/server.properties
启动flume-ng
[hadoop@nnode flume1.6.0]$ bin/flume-ng agent --conf conf --name agent --conf-file conf/kafka-hbase.conf -Dflume.root.logger=INFO,console
通过Java Api实现producer
package com.lucl.kafka.simple;
import java.util.Properties;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
import org.apache.log4j.Logger;
/**
* Copyright: Copyright (c) 2015
*
* Date : 2015-11-17 21:42:50
*
* Description : JavaApi for kafka producer
*
* @author luchunli
*
* @version 1.0
*
*/
public class SimpleKafkaProducer {
private static final Logger logger = Logger.getLogger(SimpleKafkaProducer.class);
/**
*
*/
private void execMsgSend() {
Properties props = new Properties();
props.put("metadata.broker.list", "192.168.137.117:9092");
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("key.serializer.class", "kafka.serializer.StringEncoder");
props.put("request.required.acks", "0");
ProducerConfig config = new ProducerConfig(props);
logger.info("set config info(" + config + ") ok.");
Producer procuder = new Producer<>(config);
String topic = "myhbase";
String columnFamily = "cf";
String column = "count";
for (int i = 1; i <= 10; i++) {
String rowkey = "www.value_" + i + ".com";
String value = "value_" + i;
String event = rowkey + ", " + columnFamily + ":" + column + ", " + value;
logger.info(event);
KeyedMessage msg = new KeyedMessage(topic, event);
procuder.send(msg);
}
logger.info("send message over.");
procuder.close();
}
/**
* @param args
*/
public static void main(String[] args) {
SimpleKafkaProducer simpleProducer = new SimpleKafkaProducer();
simpleProducer.execMsgSend();
}
}
观察Flume-ng控制台输出
2015-11-21 23:09:47,466 (flume_nnode-1448118584558-54f0a1ba-leader-finder-thread) [INFO - kafka.utils.Logging$class.info(Logging.scala:68)] [ConsumerFetcherManager-1448118585060] Added fetcher for partitions ArrayBuffer([[myhbase,0], initOffset 70 to broker id:117,host:nnode,port:9092] )
2015-11-21 23:09:59,147 (lifecycleSupervisor-1-1) [INFO - org.apache.flume.instrumentation.MonitoredCounterGroup.register(MonitoredCounterGroup.java:120)] Monitored counter group for type: SINK, name: hbase-sink: Successfully registered new MBean.
2015-11-21 23:09:59,147 (lifecycleSupervisor-1-1) [INFO - org.apache.flume.instrumentation.MonitoredCounterGroup.start(MonitoredCounterGroup.java:96)] Component type: SINK, name: hbase-sink started
2015-11-21 23:15:30,702 (SinkRunner-PollingRunner-DefaultSinkProcessor) [ERROR - org.apache.flume.sink.hbase.HBaseSink.process(HBaseSink.java:351)] Failed to commit transaction.Transaction rolled back.
java.lang.NoSuchMethodError: org.apache.hadoop.hbase.client.Put.setWriteToWAL(Z)V
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:377)
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:372)
at org.apache.flume.auth.SimpleAuthenticator.execute(SimpleAuthenticator.java:50)
at org.apache.flume.sink.hbase.HBaseSink.putEventsAndCommit(HBaseSink.java:372)
at org.apache.flume.sink.hbase.HBaseSink.process(HBaseSink.java:342)
at org.apache.flume.sink.DefaultSinkProcessor.process(DefaultSinkProcessor.java:68)
at org.apache.flume.SinkRunner$PollingRunner.run(SinkRunner.java:147)
at java.lang.Thread.run(Thread.java:745)
2015-11-21 23:15:30,716 (SinkRunner-PollingRunner-DefaultSinkProcessor) [ERROR - org.apache.flume.sink.hbase.HBaseSink.process(HBaseSink.java:354)] Failed to commit transaction.Transaction rolled back.
java.lang.NoSuchMethodError: org.apache.hadoop.hbase.client.Put.setWriteToWAL(Z)V
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:377)
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:372)
at org.apache.flume.auth.SimpleAuthenticator.execute(SimpleAuthenticator.java:50)
at org.apache.flume.sink.hbase.HBaseSink.putEventsAndCommit(HBaseSink.java:372)
at org.apache.flume.sink.hbase.HBaseSink.process(HBaseSink.java:342)
at org.apache.flume.sink.DefaultSinkProcessor.process(DefaultSinkProcessor.java:68)
at org.apache.flume.SinkRunner$PollingRunner.run(SinkRunner.java:147)
at java.lang.Thread.run(Thread.java:745)
Exception in thread "SinkRunner-PollingRunner-DefaultSinkProcessor" java.lang.NoSuchMethodError: org.apache.hadoop.hbase.client.Put.setWriteToWAL(Z)V
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:377)
at org.apache.flume.sink.hbase.HBaseSink$3.run(HBaseSink.java:372)
at org.apache.flume.auth.SimpleAuthenticator.execute(SimpleAuthenticator.java:50)
at org.apache.flume.sink.hbase.HBaseSink.putEventsAndCommit(HBaseSink.java:372)
at org.apache.flume.sink.hbase.HBaseSink.process(HBaseSink.java:342)
at org.apache.flume.sink.DefaultSinkProcessor.process(DefaultSinkProcessor.java:68)
at org.apache.flume.SinkRunner$PollingRunner.run(SinkRunner.java:147)
at java.lang.Thread.run(Thread.java:745)
^X^C2015-11-21 23:15:38,090 (agent-shutdown-hook) [INFO - org.apache.flume.lifecycle.LifecycleSupervisor.stop(LifecycleSupervisor.java:79)] Stopping lifecycle supervisor 10
2015-11-21 23:15:38,103 (PollableSourceRunner-KafkaSource-kafka-source) [INFO - org.apache.flume.source.PollableSourceRunner$PollingRunner.run(PollableSourceRunner.java:149)] Source runner interrupted. Exiting
写入失败。
查看HBase的表
hbase(main):004:0> scan 't_inter_log'
ROW COLUMN+CELL
0 row(s) in 0.0140 seconds
hbase(main):005:0>
分享题目：Flume-1.6.0学习笔记（六）kafkasource
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