Overall Goal
Provide experienced web developers and technical staff with a comprehensive introduction to the Solr search platform. Teach software developer deep skills creating search solutions.
I. 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
II. 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
III. 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
IV. Schema Updating
Adding fields to the schema
Analyzing text
Labs: customize Solr schema
V. Relevance
Field weighting
Phrase queries
Function queries
Fuzzier search
Sounds-like
Labs: implementing queries for relevance
VI. Extended features
More-like-this
Geospatial
Spell checking
Suggestions
Highlighting
Pseudo-fields
Pseudo-joins
Multilanguage
Labs: implementing spell checking and suggestions
VII. Multicore
Adding more kinds of data
Labs: creating and administering cores
VIII. SolrCloud
Introduction
How SolrCloud works
Commit strategies
ZooKeeper
Managing Solr config files
Labs: administer SolrCloud
IX. 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
X. 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
XI. Conclusion
Other approaches to search
ElasticSearch
DataStax Enterprise: Solr+Cassandra
Cloudera Solr integration
Blur
Future directions |
合作伙伴與授權(quán)機構(gòu)
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