一、环境准备

    1、复制HBase目录下的lib文件 到 spark目录/lib/hbase。spark 依赖此lib

    清单如下：guava-12.0.1.jar            htrace-core-3.1.0-incubating.jar protobuf-java-2.5.0.jar   这三个jar加上以hbase开头所有jar，其它就不必了。全部复制会引起报错。

   2、修改spark配置文件（spark-env.sh），在最后面增加一行

 export SPARK_CLASSPATH=/usr/local/spark-1.5.1-bin-hadoop2.4/lib/hbase/*

   3、重启spark 集群

二、代码

package com.xx;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.JavaSparkContext;import java.io.IOException;/** * spark 读取HBase数据 * @author Chenj */public class ReadHBase {    private static final Log LOG = LogFactory.getLog(ErrorCount.class);    private static final String appName = "hbase test";    private static final String master = "spark://192.168.1.21:7077";    public static void main(String[] avgs){        SparkConf conf = new SparkConf().                            setAppName(appName).                            setMaster(master).                            setSparkHome(System.getenv("SPARK_HOME")).                            setJars(new String[]{System.getenv("jars")});        Configuration configuration = HBaseConfiguration.create();        configuration.set("hbase.zookeeper.property.clientPort", "2181");  //设置zookeeper client端口        configuration.set("hbase.zookeeper.quorum", "192.168.1.19");   // 设置zookeeper quorum        configuration.addResource("/usr/local/hbase-1.0.1.1/conf/hbase-site.xml");  //将hbase的配置加载        configuration.set(TableInputFormat.INPUT_TABLE, "heartSocket");        JavaSparkContext sc = new JavaSparkContext(conf);        Scan scan = new Scan();        scan.addFamily(Bytes.toBytes("d"));        scan.addColumn(Bytes.toBytes("d"), Bytes.toBytes("consumeTime"));        try {            ClientProtos.Scan proto = ProtobufUtil.toScan(scan);            String scanToString = Base64.encodeBytes(proto.toByteArray());            configuration.set(TableInputFormat.SCAN, scanToString);        } catch (IOException e) {            e.printStackTrace();        }        JavaPairRDD
    
      rdd = sc.newAPIHadoopRDD(configuration,                TableInputFormat.class,                ImmutableBytesWritable.class,                Result.class);        LOG.info("总个数为：" + rdd.count());    }}
    

3、提交运行

./spark-submit --class com.xx.ReadHBase --master spark://ser21:7077 /usr/local/spark-1.0-SNAPSHOT.jar