Scaling search with SolrCloud

Jan had a talk at JavaZone in Oslo this september, about scaling search with the new Solr 4.0 with SolrCloud. Here are the slides and the video recording:

Scaling search with Apache Solr 4.0 and SolrCloud from JavaZone on Vimeo.

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Lucene/Solr 4.0 Beta is out

This week the ß version of Apache Lucene/Solr was released, see release announcement. This means that things are getting stable and approaching the FINAL release – after a looong time in the makings.

The most important changes is perhaps better maturity for SolrCloud along with a lot of bug fixes. If you need the ease of scalability that SolrCloud brings, this beta is a safe version to get started with – even in production. We (the developers) promise that we’ll not break backwards compat unless absolutely necessary due to a bug or something.

Some of the contributions from Cominvent include SOLR-3377, SOLR-1856, SOLR-1929, SOLR-3672, SOLR-3467, SOLR-3660, SOLR-3648, SOLR-3439, SOLR-2802, SOLR-3255, SOLR-3351 and more.

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Amazon releases CloudSearch

Amazon has really impressed me with their efficient and simple cloud solutions. Last week they announced a hosted search solution in their cloud, named CloudSearch. The idea is the same as for all the other cloud services, namely that they take care of all the hosting, provisioning and scaling (CloudSearch can auto-scale) while you concentrate on indexing and searching. Continue reading

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Solr 3.6 released

Version 3.6 of Apache Solr was recently released. This will be the last 3.x release before 4.0 will come out later this year. Version 3.6 contains many improvements and bug fixes.

Here’s the release statement: Continue reading

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Super flexible AutoComplete with Solr

AutoComplete or AutoSuggest has in recent years become a “must-have” search feature. Solr can do AutoComplete in a number of ways (such as SuggesterTermsComponent and Faceting using facet.prefix), but in this post we’ll consider a more advanced and flexible option, namely querying a dedicated Solr Core search index for the suggestions. You may think that this sounds heavy weight, but we’re talking small data here so it is really efficient and snappy!


Even if it’s some work setting up, the benefits to this approach are really compelling: Continue reading

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