hdfs MapReduce到haase
1. 上传数据到hdfs中
2. 写Map\Reduce过程
3. 输出结果到hbase中
Tips:
1. 因为map是从hdfs中取数据,因此没有太大变化;而reduce需要输出结果到hbase中,所以这里继承了 TableReduce<keyin,valuein,keyout>,这里没有valueout,但是规定TableReduce的 valueout必须是Put或者Delete实例。
2. 已经确定了输入输出路径,所以不用在eclipse中配置Run Configuration了。
import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.HColumnDescriptor; import org.apache.hadoop.hbase.HTableDescriptor; import org.apache.hadoop.hbase.client.HBaseAdmin; import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.hbase.mapreduce.TableOutputFormat; import org.apache.hadoop.hbase.mapreduce.TableReducer; import org.apache.hadoop.hbase.util.Bytes; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; public class WordCountHBase { /** * @param args * @throws IOException * @throws ClassNotFoundException * @throws InterruptedException */ public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException { // TODO Auto-generated method stub String tablename = "wordcount"; Configuration conf = new Configuration(); conf.set(TableOutputFormat.OUTPUT_TABLE, tablename); createHBaseTable(tablename); Job job = new Job(conf,"WordCount table"); job.setJarByClass(WordCountHBase.class); job.setNumReduceTasks(3); job.setMapperClass(Map.class); job.setReducerClass(Reduce.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(TableOutputFormat.class); // 设置输入目录 FileInputFormat.addInputPath(job, new Path("hdfs://master:9000/input/wordcount/*")); System.exit(job.waitForCompletion(true)?0:1); } public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> { private final static IntWritable one = new IntWritable(1); private Text text = new Text(); @Override public void map(LongWritable key, Text value, Context context) throws IOException,InterruptedException{ String s = value.toString(); StringTokenizer st = new StringTokenizer(s); while(st.hasMoreTokens()) { text.set(st.nextToken()); context.write(text, one); } } } public static class Reduce extends TableReducer<Text, IntWritable, NullWritable> { @Override public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException,InterruptedException{ int sum = 0; for(IntWritable i:values) { sum+=i.get(); } Put put = new Put(Bytes.toBytes(key.toString())); // row,columnFamily:column,value = word,content:count,sum put.add(Bytes.toBytes("content"),Bytes.toBytes("count"),Bytes.toBytes(String.valueOf(sum))); context.write(NullWritable.get(), put); } } /** * create a table * @param tablename * @throws IOException */ public static void createHBaseTable(String tablename) throws IOException { HTableDescriptor htd = new HTableDescriptor(tablename); HColumnDescriptor col = new HColumnDescriptor("content"); htd.addFamily(col); Configuration cfg = HBaseConfiguration.create(); HBaseAdmin admin = new HBaseAdmin(cfg); if(admin.tableExists(tablename)) { System.out.println("table exists,trying recreate table!"); admin.disableTable(tablename); admin.deleteTable(tablename); admin.createTable(htd); } else { System.out.println("create new table:"+tablename); admin.createTable(htd); } } }