HBASE(五 MapReduce)

快来打我* 2022-06-05 00:50 224阅读 0赞

Hbase 也可以做一些MapReduce操作

Hbase的MaprReuce 无非三种 ：

1.  HDFS 中的数据 成为 Hbase 的某个表的某一列
2.  HBase中的某一列 成为HDFS 中的数据
3.  HBase某一表某列 加工 流入 HBase另一表中某列

实现Demo如下 ：

**1.创建两个表 插入模板数据**

public class HbaseMR {
    
        private static Configuration conf;
        private static Connection conn;
        private static Admin admin;
    
        static{
            conf = HBaseConfiguration.create();
            conf.set("hbase.zookeeper.quorum","hadoop01:2181,hadoop02:2181,hadoop03:2181");
            try {
              conn = ConnectionFactory.createConnection(conf);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    
    
        public static void initTable(){
            try {
                //创建两个表
                admin = conn.getAdmin();
                HTableDescriptor word = new HTableDescriptor(TableName.valueOf("word"));
                HTableDescriptor stat = new HTableDescriptor(TableName.valueOf("stat"));
                HColumnDescriptor content = new HColumnDescriptor("content");
                word.addFamily(content);
                stat.addFamily(content);
                admin.createTable(word);
                admin.createTable(stat);
                //初始化第一个表的数据
                Table table = conn.getTable(TableName.valueOf("word"));
                table.setAutoFlushTo(false);
                table.setWriteBufferSize(5);
                List<Put> lp = new ArrayList<Put>();
                Put p1 = new Put(Bytes.toBytes("1"));
                p1.add("content".getBytes(), "info".getBytes(), ("The Apache Hadoop software library is a framework").getBytes());
                lp.add(p1);
                Put p2 = new Put(Bytes.toBytes("2"));
                p2.add("content".getBytes(),"info".getBytes(),("The common utilities that support the other Hadoop modules").getBytes());
                lp.add(p2);
                Put p3 = new Put(Bytes.toBytes("3"));
                p3.add("content".getBytes(), "info".getBytes(),("Hadoop by reading the documentation").getBytes());
                lp.add(p3);
                Put p4 = new Put(Bytes.toBytes("4"));
                p4.add("content".getBytes(), "info".getBytes(),("Hadoop from the release page").getBytes());
                lp.add(p4);
                Put p5 = new Put(Bytes.toBytes("5"));
                p5.add("content".getBytes(), "info".getBytes(),("Hadoop on the mailing list").getBytes());
                lp.add(p5);
                table.put(lp);
                table.flushCommits();
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
        }

\*\*2.Mapper 要继承TableMapper

public class HbaseMapper extends TableMapper<Text,IntWritable> { 
    
        @Override
        protected void map(ImmutableBytesWritable key, Result value, Context context) throws IOException, InterruptedException {
        //通过 value获取某一列族中的某一列 进行加工 
            byte[] l = value.getValue(Bytes.toBytes("content"), Bytes.toBytes("info"));
            String line = new String(l);
            String[] split = line.split(" ");
            for (String s : split) {
                context.write(new Text(s),new IntWritable(1));
            }
        }
    }

\*\*3.Reduce 类 要继承TableReduce

public class HbaseReduce extends TableReducer<Text,IntWritable,ImmutableBytesWritable>{ 
    
        @Override
        protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable value : values) {
                int i  = Integer.parseInt(value.toString());
                sum =sum+i;
            }
            Put put = new Put(Bytes.toBytes(key.toString()));
            put.add(Bytes.toBytes("content"),Bytes.toBytes("info"),Bytes.toBytes(String.valueOf(sum)));
    
            context.write(new ImmutableBytesWritable(Bytes.toBytes(key.toString())),put);
    
        }
    }

**4.重点:Driver类**

public static void main(String[] args) throws Exception {
    
            Configuration conf = HBaseConfiguration.create();
            conf.set("hbase.zookeeper.quorum","hadoop01:2181,hadoop02:2181,hadoop03:2181");
    
            Job job = Job.getInstance(conf);
    
            job.setJarByClass(HbaseDriver.class);
    
            //初始化mapper任务 相当于设置mapper类 
            //参数 分别是: Hbase来源表名，new Scan（）,Mapper类，输出key，输出value，job
            TableMapReduceUtil.initTableMapperJob("word",new Scan(),HbaseMapper.class,Text.class,IntWritable.class,job);
    
            //初始化reduce任务 相当于设置reduce类 
            //参数 分别是: Hbase目的表名，Reduce类，job 
            jobTableMapReduceUtil.initTableReducerJob("stat",HbaseReduce.class,job);
    
    
           job.waitForCompletion(true);
    
        }