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Solr cookbook : solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes /

This book is for intermediate Solr Developers who are willing to learn and implement Pro-level practices, techniques, and solutions. This edition will specifically appeal to developers who wish to quickly get to grips with the changes and new features of Apache Solr 5.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kuć, Rafał (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing, 2015.
Edición:Third edition.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Apache Solr Configuration; Introduction; Running Solr on a standalone Jetty; Installing ZooKeeper for SolrCloud; Migrating configuration from master-slave to SolrCloud; Choosing the proper directory configuration; Configuring the Solr spellchecker; Using Solr in a schemaless mode; Limiting I/O usage; Using core discovery; Configuring SolrCloud for NRT use cases; Configuring SolrCloud for high-indexing use cases
  • Configuring SolrCloud for high-querying use casesConfiguring the Solr heartbeat mechanism; Changing similarity; Chapter 2: Indexing Your Data; Introduction; Indexing PDF files; Counting the number of fields; Using parsing update processors to parse data; Using scripting update processors to modify documents; Indexing data from a database using Data Import Handler; Incremental imports with DIH; Transforming data when using DIH; Indexing multiple geographical points; Updating document fields; Detecting the document language during indexation; Optimizing the primary key indexation
  • Handling multiple currenciesChapter 3: Analyzing Your Text Data; Introduction; Using the enumeration type; Removing HTML tags during indexing; Storing data outside of Solr index; Using synonyms; Stemming different languages; Using nonaggressive stemmers; Using the n-gram approach to do performant trailing wildcard searches; Using position increment to divide sentences; Using patterns to replace tokens; Chapter 4: Querying Solr; Introduction; Understanding and using the Lucene query language; Using position aware queries; Using boosting with autocomplete; Phrase queries with shingles
  • Handling user queries without errorsHandling hierarchies with nested documents; Sorting data on the basis of function value; Controlling the number of terms needed to match; Affecting document score using function queries; Using simple nested queries; Using the Solr document query join functionality; Handling typos with n-grams; Rescoring query results; Chapter 5: Faceting; Introduction; Getting the number of documents with the same field value; Getting the number of documents with the same value range; Getting the number of documents matching the query and subquery
  • Removing filters from faceting resultsUsing decision tree faceting; Calculating faceting for relevant documents in groups; Improving faceting performance for low cardinality fields; Chapter 6: Improving Solr Performance; Introduction; Handling deep paging efficiently; Configuring the document cache; Configuring the query result cache; Configuring the filter cache; Improving Solr query performance after the start and commit operations; Lowering the memory consumption of faceting and sorting; Speeding up indexing with Solr segment merge tuning