About 996 results
  1. hadoop - Populate data from one column to another column on condition in hive

    up vote 0 down vote favorite WE have :- TABLE_1 having column (A_COL,NUM ) and TABLE_2 having column ( B_COL ,C_COL , NUM) Q condition If A_COL is NULL in the T
  2. mapreduce - How does Hadoop Reducer Work?

    up vote 0 down vote favorite I was facing a issue with respect to how hadoop invokes its reducer method. Does it create a new instance of the reducer class for
  3. mapreduce - What do we do with the processed data (output) from Hadoop DB?

    up vote 0 down vote favorite i am a newbie to Hadoop, hence my apologize if my question is too immature. I understand Hadoop is used for analyzing data on Large
  4. mapreduce - Why Raid is not in the Hadoop 2.x?

    up vote 1 down vote favorite 1 In the 0.22.0 version we can find the raid contrib, but it seems that the 2nd generation Hadoop (version 2.x) do not support hdfs
  5. hadoop - Performance issue in hive version 0.13.1

    up vote 6 down vote favorite 2 I use AWS-EMR to run my Hive queries and I have a performance issue while running hive version 0.13.1. The newer version of hive
  6. command usage:when to use hadoop fs and hdfs dfs

    up vote 1 down vote favorite As the title says, I'm confused when to use commands begining with 'hdfs dfs' and 'hadoop fs' FYI, I'm hadoop newbie using cloudera
  7. mapreduce - Is there any hadoop implement of Louvain method?

    up vote 3 down vote favorite 1 This is louvain method to find community in social graph. https://sites.google.com/site/findcommunities/ I want to run it on a bi
  8. mapreduce - How complex can a Hadoop Map Reduce program be?

    up vote -1 down vote favorite Two basic general questions, I hope you can clarify: Does every program executed via Hadoop has to be written in the Map/Reduce fo
  9. java - execution of Hadoop code without HDFS

    up vote 0 down vote favorite I am having an issue running a code accessing hdfs without the command : hadoop jar Here is the code I try to run : package com.in
  10. Hadoop 学习笔记五 ---Hadoop系统通信协议介绍

    2015年05月06日 - 本文约定:  DN: DataNode  TT: TaskTracker  NN: NameNode  SNN: Secondry NameNode  JT: JobTracker  本文介绍Hadoop各节点和Client之间通信协议。  Hadoop的通信是建立在RPC的基础上,关于RPC的详解介绍大家可以参照 "