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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
Workshop Requirements
This session is a workshop. Please come prepared.
- Ant 1.8.2+
- Java Development Kit (JDK) 1.6+
- IDE (Eclipse or IntelliJ recommended)
About Erik Hatcher
Erik Hatcher is the co-author of "Lucene in Action" as well as co-author of "Java Development with Ant". Erik has been an active member of the Lucene community - a leading Lucene and Solr committer, member of the Lucene Project Management Committee, member of the Apache Software Foundation as well as a frequent invited speaker at various industry events. Erik co-founded and works as a Senior Solutions Architect at LucidWorks.
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