挖个坑
读HBase
import org.apache.spark._
import org.apache.spark.rdd.NewHadoopRDD
import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor}
import org.apache.hadoop.hbase.client.HBaseAdmin
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
object HBaseTest {
def main(args: Array[String]) {
val sc = new SparkContext(args(0), "HBaseTest",
System.getenv("SPARK_HOME"), SparkContext.jarOfClass(this.getClass))
val conf = HBaseConfiguration.create()
conf.set(TableInputFormat.INPUT_TABLE, args(1))
val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
classOf[org.apache.hadoop.hbase.client.Result])
hBaseRDD.count()
System.exit(0)
}
}
参见:http://www.iteblog.com/archives/1051
http://www.netfoucs.com/article/u014388509/86933.html
Spark自带的例子
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package org.apache.spark.examples
import org.apache.hadoop.hbase.client.HBaseAdmin
import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor}
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
import org.apache.spark._
object HBaseTest {
def main(args: Array[String]) {
val sparkConf = new SparkConf().setAppName("HBaseTest")
val sc = new SparkContext(sparkConf)
val conf = HBaseConfiguration.create()
// Other options for configuring scan behavior are available. More information available at
// http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/mapreduce/TableInputFormat.html
conf.set(TableInputFormat.INPUT_TABLE, args(0))
// Initialize hBase table if necessary
val admin = new HBaseAdmin(conf)
if (!admin.isTableAvailable(args(0))) {
val tableDesc = new HTableDescriptor(args(0))
admin.createTable(tableDesc)
}
val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
classOf[org.apache.hadoop.hbase.client.Result])
hBaseRDD.count()
sc.stop()
}
}
写HBase:
http://wuchong.me/blog/2015/04/06/spark-on-hbase-new-api/