
1、创建表
启动Hbase,命令start-hbase.sh。
在Hbase中,创建一个命名空间,并创建一张表。
命名空间create_namespace 'events_db'
train表create 'events_db:train','eu'
2、源数据的处理
通过flume将日志数据写入到Kafka的主题中。
*** 作链接
分为4大模块,handler、worker、writer和test测试模块
1、handler模块:返回一个Put类型的集合
接口:
public interface IParseRecord {
public List parse(ConsumerRecords records);
}
实现类:
public class TrainHandler implements IParseRecord{
@Override
public List parse(ConsumerRecords records) {
ArrayList datas = new ArrayList<>();
for (ConsumerRecord record: records) {
System.out.println(record.value().toString());
String[] split = record.value().toString().split(",");
Put put = new Put(Bytes.toBytes(split[0]+split[1]));
put.addColumn("eu".getBytes(),"user".getBytes(),split[0].getBytes());
put.addColumn("eu".getBytes(),"event".getBytes(),split[1].getBytes());
put.addColumn("eu".getBytes(),"invited".getBytes(),split[2].getBytes());
put.addColumn("eu".getBytes(),"timestamp".getBytes(),split[3].getBytes());
put.addColumn("eu".getBytes(),"interested".getBytes(),split[4].getBytes());
put.addColumn("eu".getBytes(),"not_interested".getBytes(),split[5].getBytes());
datas.add(put);
}
return datas;
}
}
2、worker模块:配置Hbase
接口:
public interface IWorker {
public void fillData(String targetTableName);
}
实现类:
public class Worker implements IWorker{
private KafkaConsumer consumer = null;
private IWriter writer = null;
public Worker(String topicName,String groupId,IWriter writer) {
this.writer = writer;
//配置kafka prop(属性)
Properties prop = new Properties();
prop.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.91.180:9092");
prop.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
prop.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,StringDeserializer.class);
//设置是否自动提交 获取数据的状态,false 手动提交,true 自动提交
prop.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,"false");
prop.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG,"1000");
prop.put(ConsumerConfig.GROUP_ID_CONFIG,groupId);
//earliest none latest
prop.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,"earliest");
consumer = new KafkaConsumer<>(prop);
consumer.subscribe(Collections.singleton(topicName));
}
@Override
public void fillData(String targetTableName) {
long num = 0;
try {
while(true){
ConsumerRecords records = consumer.poll(Duration.ofMillis(10));
int count = writer.write(targetTableName, records);
num += count;
System.out.println("------------num-----------"+num);
Thread.sleep(10);
}
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
3、writer模块
接口:
public interface IWriter {
public int write(String targetTableName, ConsumerRecords records);
}
实现类:
//写入目标数据库的功能
public class HbaseWriter implements IWriter{
private Connection connection = null;
private IParseRecord handler = null;
public HbaseWriter(IParseRecord handler){
this.handler = handler;
Configuration conf = HbaseConfiguration.create();
conf.set(HConstants.Hbase_DIR,"hdfs://192.168.91.180:9000/hbase");
conf.set(HConstants.ZOOKEEPER_QUORUM,"192.168.91.180");
conf.set(HConstants.CLIENT_PORT_STR,"2181");
try {
connection = ConnectionFactory.createConnection(conf);
} catch (IOException e) {
e.printStackTrace();
}
}
@Override
public int write(String targetTableName, ConsumerRecords records) {
try {
Table table = connection.getTable(TableName.valueOf(targetTableName));
List datas = handler.parse(records);
if(datas != null && datas.size() > 0){
table.put(datas);
table.close();
return datas.size();
}
} catch (IOException e) {
e.printStackTrace();
}
return 0;
}
}
4、测试模块
public class Train {
public static void main(String[] args) {
IParseRecord handler = new TrainHandler();
IWriter writer = new HbaseWriter(handler);
IWorker worker = new Worker("train","train_group",writer);
worker.fillData("events_db:train");
}
}
运行即可~
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