Using solr search engine

3 days
SOLR - Version:3.1
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
    • Solr Overview
    • Installing and running Solr
    • Adding content to Solr
    • Reading a Solr XML response
    • Changing parameters in the URL
    • Using the browse interface
    • Labs: install Solr, run queries

  • Searching
    • Sorting results
    • Query parsers
    • More queries
    • Hardwiring request parameters
    • Adding fields to default search
    • Faceting
    • Result grouping
    • Labs: advanced queries, experiment with faceted search

  • Indexing
    • Adding your own content to Solr
    • Deleting data from Solr
    • Building a bookstore search
    • Adding book data
    • Exploring the book data
    • Dedupe update processor
    • Labs: indexing various document collections

  • Schema Updating
    • Adding fields to the schema
    • Analyzing text
    • Labs: customize Solr schema

  • Relevance
    • Field weighting
    • Phrase queries
    • Function queries
    • Fuzzier search
    • Sounds-like
    • Labs: implementing queries for relevance

  • Extended features
    • More-like-this
    • Geospatial
    • Spell checking
    • Suggestions
    • Highlighting
    • Pseudo-fields
    • Pseudo-joins
    • Multilanguage
    • Labs: implementing spell checking and suggestions

  • Multicore
    • Adding more kinds of data
    • Labs: creating and administering cores

  • SolrCloud
    • Introduction
    • How SolrCloud works
    • Commit strategies
    • ZooKeeper
    • Managing Solr config files
    • Labs: administer SolrCloud

  • Developing with Solr API
    • Talking to Solr through REST
    • Configuration
    • Indexing and searching
    • Solr and Spring
    • Labs: code to read and write Solr index, exercise in Spring with Solr

  • Developing with Lucene API
    • Building a Lucene index
    • Searching, viewing, debugging
    • Extracting text with Tika
    • Scaling Lucene indices on clusters
    • Lucene performance tuning
    • Labs: coding with Lucene

  • Conclusion

    • Other approaches to search
      • ElasticSearch
      • DataStax Enterprise: Solr+Cassandra
      • Cloudera Solr integration
      • Blur
    • Future directions
  • 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.
Contact Us
03-6176666
03-6176677 info@sela.co.il

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