Testing Apache Hadoop

Categories: General Hadoop

As a developer coming to Apache Hadoop it is important to understand how testing is organized in the project. For the most part it is simple — it’s really just a lot of JUnit tests — but there are some aspects that are not so well known.

Running Hadoop Unit Tests

Let’s have a look at some of the tests in Hadoop Core, and see how to run them. First check out the Hadoop Core source,

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Securing an Apache Hadoop Cluster Through a Gateway

Categories: General Hadoop

(Added 6/4/2013) Please note the instructions below are deprecated. Please refer to the CDH4 Security Guide for up-to-date procedures.

A few weeks ago we ran an Apache Hadoop hackathon. ApacheCon participants were invited to use our 10-node Hadoop cluster to explore Hadoop and play with some datasets that we had loaded on in advance. One challenge we had to face was, how do we do this in a secure way?

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Job Scheduling in Apache Hadoop

Categories: Hadoop MapReduce

(guest blog post by Matei Zaharia)

When Apache Hadoop started out, it was designed mainly for running large batch jobs such as web indexing and log mining. Users submitted jobs to a queue, and the cluster ran them in order. However, as organizations placed more data in their Hadoop clusters and developed more computations they wanted to run, another use case became attractive: sharing a MapReduce cluster between multiple users.

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Introducing Hadoop Development Status

Categories: Community

We’re happy to announce a new tool we have been developing here at Cloudera: Hadoop Development Status. Hadoop Development Status aims to help the Hadoop community understand its direction, health, and participants. The project currently monitors the most active contributors according to mailing list traffic, the most watched JIRA tickets, and aggregate traffic volumes on the Hadoop mailing lists.

The graph of messages per month on the Hadoop Core lists shows a sustained growth in traffic.

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