FileOutputFormat.setOutputPath() 设置输出路径,reduce函数会讲 文件写入该路径。在job执行前,该文件夹不能存在,否则hadoop会抛出异常. org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs://hadoop:9000/hadoop/out already exists at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat...
package com.hadoop.mapreduce;importorg.apache.hadoop.conf.Configuration;importorg.apache.hadoop.fs.Path;importorg.apache.hadoop.io.IntWritable;importorg.apache.hadoop.io.Text;importorg.apache.hadoop.mapreduce.Job;importorg.apache.hadoop.mapreduce.lib.input.FileInputFormat;importorg.apache.hadoop.mapredu...
The key type can be set to Java Long (LongWritable in Hadoop) and the value type to Java String (Text in Hadoop). The reduce function should receive words from the map tasks as keys and the digit 1 per word as values,4 so the key type will be that of words (Text) and the value...
Hadoop2.x with MRv1 (not MRv2/YARN) Pig0.11 Hive0.10 Twitter Bijection0.6 Avro1.7.7 More precisely, the examples where tested with those Hadoop stack components that ship withCloudera CDH 4.x. Example data We are using a small, Twitter-like data set as input for our example MapReduce jobs...
RunningMapReduceExampleTFIDF - hadoop-clusternet - This document describes how to run the TF-IDF MapReduce example against ascii books. - This project is for those who wants to experiment hadoop as a skunkworks in a small cluster (1-10 nodes) - Google Project Hosting Introduction The first ...
/hadoop-mapreduce-examples-3.1.2.jar 1.启动hadoop,start-all.sh 2.在hdfs上创建个待分析的文件 [root@master test]#hadoopfs -mkdir -p /test...找不到或无法加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster 思路:找不到class path 解决: 查看class path,把得到的结果配置 ...
17/12/07 00:30:11 INFO mapreduce.Job: The url to track the job: http://hadoop000:8088/proxy/application_1512577761652_0001/ 17/12/07 00:30:11 INFO mapreduce.Job: Running job: job_1512577761652_0001 17/12/07 00:30:19 INFO mapreduce.Job: Job job_1512577761652_0001 running in uber ...
Introduction and Hadoop MapReduce Definitions Hadoop MapReduce performs a join operation where there is a need to combine two large datasets. It requires lots of code to be written in order to perform the actual join operation. In order to join two large
vi /opt/hadoopclient/Loader/loader-tools-1.99.3/loader-tool/job-config/sftp-to-hdfs.xml <root> <!-- Database connection information --> <sqoop.connection name="vt_sftp_test" type="sftp-connector"> <connection.sftpServerIp>10.96.26.111</connection.sftpServerIp> <connection.sftpServerPort>22...
Hi,