Infographic: The Solr Eclipse

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Pivot Facets: Inside and Out

Solr 4.10 will be released any minute now, and with it comes the much requested distributed query support for Pivot Faceting (aka: SOLR-2894). Today we have a special guest post…
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Infographic: Code Bless America! Developer Salaries Across the US

Our team of crack cartographers took a gander at the latest occupational stats from the US Bureau of Labor to redraw the map of Developer Nation and see who’s sittin’…
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Podcast: Large Scale Solr Deployment at AOL

This week, the SolrCluster team is joined by Rishi Easwaran from the AOL mail team. AOL has been known for their large-scale Solr deployment, with over 150B documents and 1.2B…
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Important Security Notice: Parsing Untrusted Microsoft Office Files With "Solr Cell"

The Lucene PMC has issued an important security announcement regarding how some Solr users may be vulnerable to recently fixed exploits (CVE-2014-3529 and CVE-2014-3574) in Apache POI — An open…
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Indexing custom JSON data

Solr already supports update requests in JSON format. But it supports only Solr json format and not your own custom JSON. Now (with SOLR-6304 , version 4.10 onwards ), Solr supports any JSON…
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Solr Jobs Survey 2014

Every day, we hear from companies looking to hire Solr talent. Recruiters have lots of questions about how to find and hire the right developers and engineers with the right…
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Podcast: Steve Rowe, What’s New in Solr

Steve Rowe, Lucene/Solr Committer, PMC Member and Lucidworks Sr. Engineer, joins the SolrCluster team for a follow up discussion to the webinar he was recently featured in. Steve talks about…
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Solution for multi-term synonyms in Lucene/Solr using the Auto Phrasing TokenFilter

In a previous blog post, I introduced the AutoPhrasingTokenFilter. This filter is designed to recognize noun-phrases that represent a single entity or ‘thing’.  In this post, I show how the…
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Automatic Phrase Tokenization: Improving Lucene search precision by more precise linguistic analysis

Search Engine Algorithm – Tokenization and Inverse MappingAll search engines work by dividing textual content into lexical chunks or “tokens” and then “inverse mapping” those tokens back to the documents…
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