I am trying to use HBase as a data source for spark. So the first step turns out to be creating a RDD from a HBase table. Since Spark works with hadoop input formats, i could fi
Here is a Java example with TableMapReduceUtil.convertScanToString(Scan scan):
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HConstants;
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.mapreduce.TableMapReduceUtil;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import java.io.IOException;
public class HbaseScan {
public static void main(String ... args) throws IOException, InterruptedException {
// Spark conf
SparkConf sparkConf = new SparkConf().setMaster("local[4]").setAppName("My App");
JavaSparkContext jsc = new JavaSparkContext(sparkConf);
// Hbase conf
Configuration conf = HBaseConfiguration.create();
conf.set(TableInputFormat.INPUT_TABLE, "big_table_name");
// Create scan
Scan scan = new Scan();
scan.setCaching(500);
scan.setCacheBlocks(false);
scan.setStartRow(Bytes.toBytes("a"));
scan.setStopRow(Bytes.toBytes("d"));
// Submit scan into hbase conf
conf.set(TableInputFormat.SCAN, TableMapReduceUtil.convertScanToString(scan));
// Get RDD
JavaPairRDD source = jsc
.newAPIHadoopRDD(conf, TableInputFormat.class,
ImmutableBytesWritable.class, Result.class);
// Process RDD
System.out.println(source.count());
}
}