如何在Java中使用newAPIHadoopRDD (spark)读取Hbase数据

<dependencies>
    <!-- HBase dependencies -->
    <dependency>
        <groupId>org.apache.hbase</groupId>
        <artifactId>hbase-client</artifactId>
        <version>版本号</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hbase</groupId>
        <artifactId>hbase-common</artifactId>
        <version>版本号</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hbase</groupId>
        <artifactId>hbase-server</artifactId>
        <version>版本号</version>
    </dependency>
    
    <!-- Spark dependencies -->
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>版本号</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.11</artifactId>
        <version>版本号</version>
    </dependency>
</dependencies>

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;

public class HBaseSparkExample {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("HBaseSparkExample").setMaster("local");
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        // 在这里编写读取HBase数据的代码
    }
}

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableInputFormat;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

public class HBaseSparkExample {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("HBaseSparkExample").setMaster("local");
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        Configuration hbaseConf = HBaseConfiguration.create();
        hbaseConf.set("hbase.zookeeper.quorum", "ZooKeeper地址");
        hbaseConf.set("hbase.zookeeper.property.clientPort", "ZooKeeper端口号");
        hbaseConf.set(TableInputFormat.INPUT_TABLE, "HBase表名");
        
        JavaPairRDD<ImmutableBytesWritable, Result> hbaseRDD = sc.newAPIHadoopRDD(
                hbaseConf,
                TableInputFormat.class,
                ImmutableBytesWritable.class,
                Result.class
        );
        
        // 在这里对hbaseRDD进行操作，如转换为DataFrame或执行其他计算操作
        
        sc.stop();
    }
}

import org.apache.spark.api.java.function.Function;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SQLContext;

public class HBaseSparkExample {
    public static void main(String[] args) {
        SparkConf conf = new SparkConf().setAppName("HBaseSparkExample").setMaster("local");
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        Configuration hbaseConf = HBaseConfiguration.create();
        hbaseConf.set("hbase.zookeeper.quorum", "ZooKeeper地址");
        hbaseConf.set("hbase.zookeeper.property.clientPort", "ZooKeeper端口号");
        hbaseConf.set(TableInputFormat.INPUT_TABLE, "HBase表名");
        
        JavaPairRDD<ImmutableBytesWritable, Result> hbaseRDD = sc.newAPIHadoopRDD(
                hbaseConf,
                TableInputFormat.class,
                ImmutableBytesWritable.class,
                Result.class
        );
        
        // 将hbaseRDD转换为DataFrame
        SQLContext sqlContext = new SQLContext(sc);
        DataFrame hbaseDF = hbaseRDD.map(new Function<Tuple2<ImmutableBytesWritable, Result>, Row>() {
            @Override
            public Row call(Tuple2<ImmutableBytesWritable, Result> tuple) throws Exception {
                // 在这里根据需要解析Result对象，并返回Row对象
                return null;
            }
        }).toDF();
        
        // 在这里对hbaseDF进行操作，如执行SQL查询、数据过滤等
        
        sc.stop();
    }
}