Using solr search engine
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
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
Future directions
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