December 19, 2015
Apache Pig Tutorial – Grouping Records Goal of this tutorial is to learn Apache Pig concepts in a fast pace. So don’t except lengthy posts. All […]
December 18, 2015
Apache Pig Tutorial – Filter Records Goal of this tutorial is to learn Apache Pig concepts in a fast pace. So don’t except lengthy posts. All […]
December 16, 2015
Apache Pig Tutorial – Project and Manipulate Columns Goal of this tutorial is to learn Apache Pig concepts in a fast pace. So don’t except lengthy […]
December 14, 2015
Apache Pig Tutorial – Load Variations Goal of this tutorial is to learn Apache Pig concepts in a fast pace. So don’t except lengthy posts. All posts […]
December 7, 2015
Apache Pig Tutorial – Loading Datasets Goal of this tutorial is to learn Apache Pig concepts in a fast pace. So don’t except lengthy posts. All […]
October 13, 2015
Is Hive Good At Everything? Hive is an awesome tool, which takes in SQL like queries and translate them in to MapReduce. Hive is very helpful […]
October 11, 2015
How much memory your Namenode need? This is going to be a very short post. When you are building a cluster from scratch, Hadoop developers and […]
October 5, 2015
Hadoop Archives (HAR) Hadoop Archives (HAR) offers an effective way to deal with the small files problem. This post will explain – The problem with small […]
October 5, 2015
Pig vs. Hive Apache Pig takes in a set of instructions written in Pig Latin, compiles them and produce a set of MapReduce jobs and execute […]
September 8, 2015
Datanode Block Scanner In this blog post we saw how HDFS handles and corrects data corruption in HDFS using checksum. During a write operation the datanode […]
September 6, 2015
Dealing With Data Corruption In HDFS Hadoop is designed to store and analyze huge volume of data and with huge volume of data stored in HDFS […]
September 1, 2015
Can Reducer always be reused for Combiner? A Combiner function is an optional intermediary function which is executed on the Map phase right after the execution […]
August 30, 2015
What is HDFS Federation? Namenode is responsible for the successful operation of HDFS. Namenode holds the entire metadata of HDFS, which includes information about files and […]
August 26, 2015
Reading A File From HDFS – Java Program In this last post we saw how to write a file to HDFS by writing our own Java […]
August 23, 2015
Writing A File To HDFS – Java Program Writing a file to HDFS is very easy, we can simply execute hadoop fs -copyFromLocal command to copy […]
August 16, 2015
What is Speculative Execution? Sometimes you will notice that a Job which has 3 input splits executed 4 mappers and killed the 4th mapper. The job […]
August 11, 2015
Changing Number Of Reducers In this blog post we saw how we can change the number of mappers in a MapReduce execution. In this post, we […]
August 9, 2015
Changing Number Of Mappers Number of mappers always equals to the Number of splits. Having said that it is possible to control the number of splits […]
August 4, 2015
InputSplit vs Block The central idea behind MapReduce is distributed processing and hence the most important thing is to divide the dataset in to chunks and […]
August 1, 2015
HDFS Block Placement Policy When a file is uploaded in to HDFS it will be divided in to blocks. HDFS will have to decide where to […]
