Lucidworks Fusion 2.2 Now Available

January 11, 2016

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Solr’s DateRangeField, How Does It Perform?

Solr’s DateRangeField I have to credit David Smiley as co-author here. First of all, he’s largely responsible for the spatial functionality and second he’s been very generous explaining some details here. Mistakes of course are my responsibility of course. Solr has had a new DateRangeField for quite some time (since 5.0, see SOLR-6103. DateRangeFields are […]

February 13, 2016
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Welcome Trey Grainger!

Trey Grainger has joined as Lucidworks SVP of Engineering where he’ll be heading up our engineering efforts for both open source Apache Lucene/Solr and our Lucidworks Fusion platform.

February 10, 2016
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Fusion plus Solr Suggesters for More Search, Less Typing

The Solr suggester search component was previously discussed on this blog in the post Solr Suggester by Solr committer Erick Erickson. This post shows how to add a Solr suggester component to a Fusion query pipeline in order to provide the kind of auto-complete functionality expected from a modern search app. By auto-complete we mean […]

February 4, 2016
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Jake Mannix Joins Lucidworks as Principal Data Engineer

We are pleased to welcome Jake Mannix to the Lucidworks team as our new Principal Data Engineer. Jake’s past work includes: Working on data pipelining with Apache Spark to scale a semantic search engine at the Allen Institute for Artificial Intelligence. Jake was tech lead for Twitter’s Data Science / Data Engineering team, building both the […]

January 20, 2016
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Top Blog Posts of 2015

The best of the blog from the past year including Solr authentication, Hadoop connectors, facets and stats, Docker, Spark, and increasing indexing and performance.

January 13, 2016
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Erik Hatcher, Developer on Fire, Profiled by Dave Rael

Lucidworks engineer, Apache Lucene committer, and co-author of Lucene in Action as well as co-author of Java Development with Ant is profiled on Dave Rael’s Developer on Fire podcast. Subscribe or listen on iTunes or via the podcast’s feed.

January 9, 2016
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Open Source Hadoop Connectors for Solr

Lucidworks is happy to announce that several of our connectors for indexing content from Hadoop to Solr are now open source. We have six of them, with support for Spark, Hive, Pig, HBase, Storm and HDFS, all available in Github. All of them work with Solr 5.x, and include options for Kerberos-secured environments if required. HDFS for Solr […]

December 17, 2015