/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.hadoop.hbase.spark.example.rdd import org.apache.hadoop.hbase.client.Get import org.apache.hadoop.hbase.{TableName, HBaseConfiguration} import org.apache.hadoop.hbase.spark.HBaseContext import org.apache.hadoop.hbase.spark.HBaseRDDFunctions._ import org.apache.hadoop.hbase.util.Bytes import org.apache.spark.{SparkContext, SparkConf} /** * This is a simple example of using the mapPartitions * method with a HBase connection */ object HBaseMapPartitionExample { def main(args: Array[String]) { if (args.length < 1) { println("HBaseBulkGetExample {tableName}") return } val tableName = args(0) val sparkConf = new SparkConf().setAppName("HBaseBulkGetExample " + tableName) val sc = new SparkContext(sparkConf) try { //[(Array[Byte])] val rdd = sc.parallelize(Array( Bytes.toBytes("1"), Bytes.toBytes("2"), Bytes.toBytes("3"), Bytes.toBytes("4"), Bytes.toBytes("5"), Bytes.toBytes("6"), Bytes.toBytes("7"))) val conf = HBaseConfiguration.create() val hbaseContext = new HBaseContext(sc, conf) val getRdd = rdd.hbaseMapPartitions[String](hbaseContext, (it, connection) => { val table = connection.getTable(TableName.valueOf(tableName)) it.map{r => //batching would be faster. This is just an example val result = table.get(new Get(r)) val it = result.listCells().iterator() val b = new StringBuilder b.append(Bytes.toString(result.getRow) + ":") while (it.hasNext) { val cell = it.next() val q = Bytes.toString(cell.getQualifierArray) if (q.equals("counter")) { b.append("(" + q + "," + Bytes.toLong(cell.getValueArray) + ")") } else { b.append("(" + q + "," + Bytes.toString(cell.getValueArray) + ")") } } b.toString() } }) getRdd.collect().foreach(v => println(v)) } finally { sc.stop() } } }