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NFJS2025

Solr Recipes

Solr Recipes provides quick and easy steps for common use cases with Apache Solr. Bite-sized recipes will be presented for data ingestion, textual analysis, client integration, and each of Solr’s features including faceting, more-like-this, spell checking/suggest, and others.

Quick and easy steps for common Apache Solr use cases

  • Ingesting recipes: CSV, relational databases, file system, web crawls, API

  • Analysis recipes: copyField, character mapping, tokenizing and filtering, configuring for suggest, data exploration

  • Faceting recipes: field, date and numeric range, pivot, and query faceting

  • Integration recipes: prototyping user interactions, working with Solr from PHP, Rails, Java, Ajax, and other environments

  • Other featured recipes: more like this, spell checking/suggest, grouping, clustering


Erik Hatcher

About Erik Hatcher

Erik advocates for Atlas Search at MongoDB, these days. Prior to this, he co-founded Lucidworks, innovating solutions for customers with Solr and Lucene. He has been a committer on various ASF projects, sits on the Lucene and Solr PMC, and a Member of the ASF.

Erik has spoken at conferences, events, and meetups around the world, entirely on open source projects. He has spoken at JavaOne, Uberconf, the NFJS circuit, Devoxx, Berlin Buzzwords, Lucene Revolution, and many other events and user group meetings.

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