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Agile migration of a single-node cluster from MRv1 to YARN

| Posted in Tutorials |

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I am happy to say that my blog post “Agile migration of a single-node cluster from MRv1 to YARN” has been published by IBM developerWorks. Please find the abstract of the article below:

Although Hadoop vendors such as Cloudera and Hortonworks provide excellent and detailed documentation for installing YARN, they follow an all-or-nothing approach. With this approach, you perform almost all of the migration steps first, then you start the cluster and verify that it is correctly migrated. If the migration fails, you review the migration steps to determine where the misconfiguration was made. Because the migration to YARN is a complex and error-prone process, it can be challenging to troubleshoot an almost-migrated cluster.

In contrast, this article describes how to use an agile approach with quick and frequent iterations. In the first iteration, you install only the necessary components and start the YARN cluster to verify whether it runs applications successfully. In the next iterations, you extend the cluster’s functionality and optimize the most important configuration settings. The goal is to have a working YARN cluster that can process users’ applications after each iteration. Using this approach, administrators have the ability to temporarily halt the migration process after each iteration and continue it later at a convenient time.

Read more at IBM developerWorks.

Slides from “A perfect Hive query for a perfect meeting” given at Hadoop Summit San Jose 2014

| Posted in Presentations, Troubleshooting |

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Introduction To YARN

| Posted in Reading |

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I am happy to say that my blog post “Introduction To YARN” has been published by IBM developerWorks. Please find the abstract of the article below:

Apache Hadoop is currently one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered as a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers. As a result, the 2.0 version offers several revolutionary features including YARN, HDFS Federation, and a highly-available NameNode which make the Hadoop cluster much more efficient,powerful, and reliable. In this article, learn about the advantages YARN provides over the previous version of the distributed processing layer in Hadoop.

Read more at IBM developerWorks.

Slides from “Hadoop Operations Powered By … Hadoop” given at Hadoop Summit 2014 in Amsterdam

| Posted in Community, Presentations, Troubleshooting |

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Be map slot or not to be: that is the question!

| Posted in Monitoring |

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A couple months ago, we got an email from Chris:

Hi!

The Hadoop cluster has been a bit slow the past few days and I noticed that the bottleneck seems to be coming from the map tasks. We have separate map and reduce task capacities and it continuously looks like the mapper slots are all taken while there’s a surplus of open reduce slots. Is there any reason that we can’t open any of the free reduce slots to map tasks?

Regards,
Chris