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Tag Archives: Elasticsearch

Use Cases for Elasticsearch: Flexible Query Cache

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In the previous two posts on use cases for Elasticsearch we have seen that Elasticsearch can be used to store even large amounts of documents and that we can access those using the full text features of Lucene via the Query DSL. In this shorter post we will put both of use cases together to see how read heavy applications ...

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Use Cases for Elasticsearch: Full Text Search

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In the last post of this series on use cases for Elasticsearch we looked at the features Elasticsearch provides for storing even large amounts of documents. In this post we will look at another one of its core features: Search. I am building on some of the information in the previous post so if you haven’t read it you should ...

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Goodbye Sense – Welcome Alternatives?

I only recently noticed that Sense, the Chrome Plugin for Elasticsearch has been pulled from the app store by its creator. There are quite strong opinions in this thread and I would like to have Sense as a Chrome plugin as well. But I am also totally fine with Elasticsearch as a company trying to monetize some of its products ...

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An Alternative to the Twitter River – Index Tweets in Elasticsearch with Logstash

For some time now I’ve been using the Elasticsearch Twitter river for streaming conference tweets to Elasticsearch. The river runs on an Elasticsearch node, tracks the Twitter streaming API for keywords and directly indexes the documents in Elasticsearch. As the rivers are about to be deprecated it is time to move on to the recommended replacement: Logstash. With Logstash the ...

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A Tour Through elasticsearch-kopf

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When I needed a plugin to display the cluster state of Elasticsearch or needed some insight into the indices I normally reached for the classic plugin elasticsearch-head. As it is recommended a lot and seems to be the unofficial successor I recently took a more detailed look at elasticsearch-kopf. And I liked it. I am not sure about why elasticsearch-kopf ...

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What Is Special About This? Significant Terms in Elasticseach

I have been using Elasticsearch a few times now for doing analytics of twitter data for conferences. Popular hashtags and mentions that can be extraced using facets can show what is hot at a conference. But you can go even further and see what makes each hashtag special. In this post I would like to show you the significant terms ...

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ElasticSearch-Hadoop: Indexing product views count and customer top search query from Hadoop to ElasticSearch

This post covers to use ElasticSearch-Hadoop to read data from Hadoop system and index that in ElasticSearch. The functionality it covers is to index product views count and top search query per customer in last n number of days. The analyzed data can further be used on website to display customer recently viewed, product views count and top search query string. ...

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Elasticsearch in a Box

Are you looking to get going with Elasticsearch as quickly as possible without having to worry about installing Java or Elasticsearch itself? Are you looking for a repeatable and automated mechanism for bringing up Elasticsearch instances for developmental and or testing purposes? While there’s certainly a number of Elasticsearch-as-a-platform service providers out there, there’s one other option: use Elasticsearch-in-a-box. Elasticsearch-in-a-box ...

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Understanding ElasticSearch Analyzers

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Sadly, lots of early Internet beer recipes aren’t necessarily in an easily digestible format; that is, these recipes are unstructured intermixed lists of directions and ingredients often originally composed in an email or forum post. So while it’s hard to easily put these recipes into traditional data stores (ostensibly for easier searching), they’re perfect for ElasticSearch in their current form. ...

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