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⇱ Florian Hopf, Author at Java Code Geeks - Page 3 of 3


  • Software Development👁 Image
    Florian HopfJuly 8th, 2014
    0 192

    Use Cases for Elasticsearch: Document Store

    I’ll be giving an introductory talk about Elasticsearch twice in July, first at Developer Week Nürnberg, then at Java Forum…

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  • Software Development👁 Image
    Florian HopfJuly 2nd, 2014
    0 126

    Goodbye Sense – Welcome Alternatives?

    I only recently noticed that Sense, the Chrome Plugin for Elasticsearch has been pulled from the app store by its…

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  • Software Development👁 Image
    Florian HopfJune 23rd, 2014
    4 96

    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…

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  • Enterprise Java👁 java-interview-questions-answers
    Florian HopfJune 20th, 2014
    1 205

    A Tour Through elasticsearch-kopf

    When I needed a plugin to display the cluster state of Elasticsearch or needed some insight into the indices I…

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  • Software Development👁 Image
    Florian HopfMay 28th, 2014
    0 234

    The Absolute Basics of Indexing Data

    Ever wondered how a search engine works? In this post I would like to show you a high level view…

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  • Software Development👁 Image
    Florian HopfMay 28th, 2014
    0 106

    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…

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  • Core Java👁 Image
    Florian HopfMay 27th, 2014
    0 559

    Prefix and Suffix Matches in Solr

    Search engines are all about looking up strings. The user enters a query term that is then retrieved from the…

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  • Core Java👁 Image
    Florian HopfMay 23rd, 2014
    0 319

    See Your Solr Cache Sizes: Eclipse Memory Analyzer

    Solr uses different caches to prevent too much IO access and calculations during requests. When indexing doesn’t happen too frequently…

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