在xml直接贴入：

若要使用org.apache.hadoop.hbase.mapreduce的API，需要加上：

                <dependency> 

                        <groupId>org.apache.hbase</groupId> 

                       <artifactId>hbase-server</artifactId>

                       <version>0.96.1-hadoop2</version> 

               </dependency>

若要使用org.apache.hadoop.hbase.client的API，需要加上：

<dependency>
    <groupId>org.apache.hbase</groupId>
    <artifactId>hbase-client</artifactId>
    <version>2.1.0</version>
</dependency>

这个项目的所有依赖包：

<dependencies>
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>${scala.version}</version>
    </dependency>
    <!-- apache.commons -->
    <dependency>
        <groupId>org.apache.commons</groupId>
        <artifactId>commons-lang3</artifactId>
        <version>3.6</version>
    </dependency>
    <dependency>
        <groupId>org.apache.commons</groupId>
        <artifactId>commons-pool2</artifactId>
        <version>2.4.3</version>
    </dependency>
    <!-- spark -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_${scala.binaryVersion}</artifactId>
        <version>${spark.version}</version>
        <!--<scope>provided</scope>-->
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_${scala.binaryVersion}</artifactId>
        <version>${spark.version}</version>
        <!--<scope>provided</scope>-->
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-mllib_${scala.binaryVersion}</artifactId>
        <version>${spark.version}</version>
        <!--<scope>provided</scope>-->
    </dependency>
    <dependency>
        <groupId>org.jblas</groupId>
        <artifactId>jblas</artifactId>
        <version>1.2.4</version>
    </dependency>
    <dependency>
        <groupId>ml.dmlc</groupId>
        <artifactId>xgboost4j</artifactId>
        <version>0.72</version>
    </dependency>
    <dependency>
        <groupId>ml.dmlc</groupId>
        <artifactId>xgboost4j-spark</artifactId>
        <version>0.72</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.10</artifactId>
        <version>2.1.0</version>
    </dependency>
    <dependency>
        <groupId>mysql</groupId>
        <artifactId>mysql-connector-java</artifactId>
        <version>5.1.38</version>
        <scope>compile</scope>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>2.0.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-mllib_2.10</artifactId>
        <version>2.0.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hbase</groupId>
        <artifactId>hbase-client</artifactId>
        <version>2.1.0</version>
    </dependency>
    <dependency>

        <groupId>org.apache.hbase</groupId>

        <artifactId>hbase-server</artifactId>

        <version>0.96.1-hadoop2</version>

    </dependency>




</dependencies>