Using solr search engine
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Description
This course introduces students to the Solr platform. Through a combination of lecture, discussion, and labs students will gain hands-on experience configuring effective search and indexing.
Intended audience
Developers, business users, administrators
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Fundamentals
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Solr Overview
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Installing and running Solr
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Adding content to Solr
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Reading a Solr XML response
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Changing parameters in the URL
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Using the browse interface
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Labs: install Solr, run queries
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Searching
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Sorting results
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Query parsers
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More queries
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Hardwiring request parameters
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Adding fields to default search
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Faceting
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Result grouping
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Labs: advanced queries, experiment with faceted search
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Indexing
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Adding your own content to Solr
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Deleting data from Solr
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Building a bookstore search
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Adding book data
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Exploring the book data
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Dedupe update processor
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Labs: indexing various document collections
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Schema Updating
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Adding fields to the schema
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Analyzing text
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Labs: customize Solr schema
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Relevance
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Field weighting
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Phrase queries
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Function queries
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Fuzzier search
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Sounds-like
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Labs: implementing queries for relevance
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Extended features
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More-like-this
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Geospatial
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Spell checking
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Suggestions
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Highlighting
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Pseudo-fields
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Pseudo-joins
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Multilanguage
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Labs: implementing spell checking and suggestions
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Multicore
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Adding more kinds of data
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Labs: creating and administering cores
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SolrCloud
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Introduction
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How SolrCloud works
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Commit strategies
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ZooKeeper
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Managing Solr config files
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Labs: administer SolrCloud
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Developing with Solr API
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Talking to Solr through REST
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Configuration
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Indexing and searching
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Solr and Spring
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Labs: code to read and write Solr index, exercise in Spring with Solr
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Developing with Lucene API
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Building a Lucene index
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Searching, viewing, debugging
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Extracting text with Tika
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Scaling Lucene indices on clusters
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Lucene performance tuning
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Labs: coding with Lucene
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Conclusion
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Other approaches to search
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ElasticSearch
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DataStax Enterprise: Solr+Cassandra
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Cloudera Solr integration
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Blur
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Future directions
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- All attendees should be experienced technical staff with a background in web application operations and, preferably, development
- Solr installation and configuration
- Solr architecture and design
- Faceting, indexing, and search
- Advanced topics including spell checking, suggestions, Multicore, and SolrCloud.
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