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SOLR - Version: 3.1
Using solr search engine
3 days course
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
Prerequisites
All attendees should be experienced technical staff with a background in web application operations and, preferably, development
Objectives
Solr installation and configuration
Solr architecture and design
Faceting, indexing, and search
Advanced topics including spell checking, suggestions, Multicore, and SolrCloud.
Topics
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
SOLR Course
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