Category Archives: Big Data

Running ElasticSearch in Production

(Updated version. Originally Published on: Nov 3, 2013) Here are some things to keep in mind as you go about designing your ElasticSearch cluster. Many of these are from real life experiences and IMO are the basic common sense items you should consider. In addition to these settings noted here, there maybe other settings that are relevant to your use case.

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Apache Hadoop MapReduce (Pseudo-Distributed mode)- Part 2

In this article we will run the example from Part-1 in pseudo-distributed single server mode. Most of the configuration details are clearly laid out on the Hadoop site at Setting Up Single Server Pseudo-Distributed mode. For the sake of additional clarity I will note them here and also run our previous job from Part-1 against the new cluster. I assume that you already have Hadoop downloaded and setup from the previous article.

Note: Updated to Hadoop 2.4.1 and re-published from original Sept 28th, 2011 blog.

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Asynchronous Indexing into ElasticSearch using Spring Integration & ActiveMQ

Here is a slightly modified Architecture on my previous post on Getting Started With ElasticSearch. If you find yourself indexing content constantly (like 100s or even 1000s per minute) you might want to consider an asynchronous architecture towards indexing.

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Getting started with ElasticSearch

You must have surely heard the tag lines “Data is gold” or “Data is oil”! If not, then you heard it now. The notion is that with the right type and volume of data, you can pull out very valuable insights to help support your business/IT goals. This data might be coming from your own applications, log files, social media data, blogs, online news media, etc. Data is everywhere. And when you have that data, you want to search through it for intelligent information. That is where search engines come to the rescue. I will cover one such search engine – ElasticSearch.

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