#Cloudera quickstart docker on mac download

Randomwriter: A map/reduce program that writes 10GB of random data per node. Randomtextwriter: A map/reduce program that writes 10GB of random textual data per node.

Pi: A map/reduce program that estimates Pi using a quasi-Monte Carlo method. Pentomino: A map/reduce tile laying program to find solutions to pentomino problems. Multifilewc: A job that counts words from several files. Join: A job that effects a join over sorted, equally partitioned datasets Grep: A map/reduce program that counts the matches of a regex in the input. Lrwxrwxrwx 1 root root 44 Dec 18 07:01 hadoop-mapreduce-examples.jar -> temp]$ hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jarĪggregatewordcount: An Aggregate based map/reduce program that counts the words in the input files.Īggregatewordhist: An Aggregate based map/reduce program that computes the histogram of the words in the input files.ībp: A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi.ĭbcount: An example job that count the pageview counts from a database.ĭistbbp: A map/reduce program that uses a BBP-type formula to compute exact bits of Pi. Running that jar file without any argument will give you a list of available examples.ġ 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 temp]$ ls -ltr /usr/lib/hadoop-mapreduce/ On Cloudera Quickstart VM, they are packaged in this jar file “hadoop-mapreduce-examples.jar”. We need to locate the example programs on the sandbox VM. The output should show each word found and its count, line by line. The example returns a list of all the words that appear in a text file and the count of how many times each word appears. The WordCount example is commonly used to illustrate how MapReduce works. Next, we want to run some MapReduce example, such as WordCount. For example: hdfs dfs -cat wc-out/* | more.įor more HDFS commands, check out links in References section below. Instead, pipe the output of the -cat subcommand through your local shell’s more, or tail. First, create an input test file in your local file system.ġ temp]$ hdfs dfs -cat /user/cloudera/input/wordcount.txtįor large files, if you want to view just the first or last parts, there is no -more or -tail subcommand. Working with HDFSīefore running WordCount example, we need to create some input text file, then move it to HDFS.

#Cloudera quickstart docker on mac download

Download the VM and start it up in VirtualBox or VMWare Fusion. In this post, I used Cloudera Quickstart VM.

Nowadays, many companies provide Hadoop sandboxes for learning purpose, such as Cloudera, Hortonworks.

Run the most basic example program WordCount, using your own input data.

Get started with a simple, local Hadoop sandbox for hands-on experiments.

The purpose of this post is to help new users dive into Hadoop more easily.Īfter reading this, you should be able to:

Most Hadoop tutorials are quite overwhelming in text, but provide little guide on practical hands-on experiments (such as this).Īlthough they are good and thorough tutorials, many new Hadoop users may be lost midway after walls of texts. Your first few programs in those new languages or frameworks are probably extended from those basic “Hello World” examples.

When you first start learning a new language or framework, you would want to run and look into some “Hello World” example to get a feel of the new development environment. WordCount is the Hadoop equivalent of “Hello World” example program.