用Spark查询HBase中的表数据

java代码如下：

package db.query;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableInputFormat;
import org.apache.hadoop.hbase.protobuf.ProtobufUtil;
import org.apache.hadoop.hbase.protobuf.generated.ClientProtos;
import org.apache.hadoop.hbase.util.Base64;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.VoidFunction;

import db.insert.HBaseDBDao;
import scala.Tuple2;

import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
 
public class HBaseSparkQuery implements Serializable {
 
    private static final long serialVersionUID = 1L;
    
    public Log log = LogFactory.getLog(HBaseSparkQuery.class);
 
    /**
     * 将scan编码，该方法copy自 org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil
     *
     * @param scan
     * @return
     * @throws IOException
     */
    static String convertScanToString(Scan scan) throws IOException {
        ClientProtos.Scan proto = ProtobufUtil.toScan(scan);
        return Base64.encodeBytes(proto.toByteArray());
    }
 
    public void start() {
        //初始化sparkContext，
        SparkConf sparkConf = new SparkConf().setAppName("HBaseTest").setMaster("local[2]");
        JavaSparkContext sc = new JavaSparkContext(sparkConf);
 
        //使用HBaseConfiguration.create()生成Configuration
        // 必须在项目classpath下放上hadoop以及hbase的配置文件。
        Configuration conf = HBaseConfiguration.create();
        //设置查询条件，这里值返回用户的等级
        Scan scan = new Scan();
//        scan.setStartRow(Bytes.toBytes("57348556169_0000000000000"));
//        scan.setStopRow(Bytes.toBytes("57348556169_9999999999999"));
        scan.addFamily(Bytes.toBytes("cids"));
        scan.addFamily(Bytes.toBytes("times"));
        scan.addFamily(Bytes.toBytes("pcis"));
        scan.addFamily(Bytes.toBytes("angle"));
        scan.addFamily(Bytes.toBytes("tas"));
        scan.addFamily(Bytes.toBytes("gis"));
        scan.addColumn(Bytes.toBytes("cids"), Bytes.toBytes("cid"));
        scan.addColumn(Bytes.toBytes("times"), Bytes.toBytes("time"));
        scan.addColumn(Bytes.toBytes("pcis"), Bytes.toBytes("pci"));
        scan.addColumn(Bytes.toBytes("angle"), Bytes.toBytes("st"));
        scan.addColumn(Bytes.toBytes("angle"), Bytes.toBytes("ed"));
        scan.addColumn(Bytes.toBytes("tas"), Bytes.toBytes("ta"));
        scan.addColumn(Bytes.toBytes("gis"), Bytes.toBytes("lat"));
        scan.addColumn(Bytes.toBytes("gis"), Bytes.toBytes("lng"));
        try {
            //需要读取的hbase表名
            String tableName = "mapCar";
            conf.set(TableInputFormat.INPUT_TABLE, tableName);
            conf.set(TableInputFormat.SCAN, convertScanToString(scan));

            //获得hbase查询结果Result
            JavaPairRDD<ImmutableBytesWritable, Result> hBaseRDD = sc.newAPIHadoopRDD(conf,
                    TableInputFormat.class, ImmutableBytesWritable.class,
                    Result.class);
 
            //从result中取出用户年龄
            JavaRDD<String> cars = hBaseRDD.flatMap(new FlatMapFunction<Tuple2<ImmutableBytesWritable, Result>, String>(){
                private static final long serialVersionUID = 1L;

                @Override
                public Iterable<String> call(
                        Tuple2<ImmutableBytesWritable, Result> t)
                        throws Exception {
                    String cid = Bytes.toString(t._2.getValue(Bytes.toBytes("cids"), Bytes.toBytes("cid")));
                    String time = Bytes.toString(t._2.getValue(Bytes.toBytes("times"), Bytes.toBytes("time")));                
                    String pci = Bytes.toString(t._2.getValue(Bytes.toBytes("pcis"), Bytes.toBytes("pci")));
                    String st = Bytes.toString(t._2.getValue(Bytes.toBytes("angle"), Bytes.toBytes("st")));    
                    String ed = Bytes.toString(t._2.getValue(Bytes.toBytes("angle"), Bytes.toBytes("ed")));    
                    String ta = Bytes.toString(t._2.getValue(Bytes.toBytes("tas"), Bytes.toBytes("ta")));
                    String lat = Bytes.toString(t._2.getValue(Bytes.toBytes("gis"), Bytes.toBytes("lat")));
                    String lng = Bytes.toString(t._2.getValue(Bytes.toBytes("gis"), Bytes.toBytes("lng")));                
                    return Arrays.asList("cid : "+cid+", time: "+time+", pci: "+pci+", st: "+st+", ed: "+ed+", ta: "+ta+", lat: "+lat+", lon: "+lng);
//                    return Arrays.asList(cid);
                }
                
            });
//            JavaRDD<String>car = cars.distinct();
            //打印出最终结果
            cars.foreach(new VoidFunction<String>(){
                private static final long serialVersionUID = 1L;

                @Override
                public void call(String s) throws Exception {
                    System.out.println(s);                    
                }               
            }); 
;
            
//            //打印出最终结果
//            List<String> output = car.collect();
//            for (String s : output) {
//                System.out.println(s);
//            }
 
        } catch (Exception e) {
            log.warn(e);
        }
 
    }
 
    /**
     * spark如果计算没写在main里面,实现的类必须继承Serializable接口，<br>
     * </>否则会报 Task not serializable: java.io.NotSerializableException 异常
     */
    public static void main(String[] args) throws InterruptedException {      
        new HBaseSparkQuery().start();
    }
}

所用jar包如下：