Solr for Developers Training Course
Course
In City Of London
Description
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Type
Course
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Location
City of london
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.
The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.
Duration: 3 days
Audience: Developers, business users, administrators
Facilities
Location
Start date
Start date
Reviews
Subjects
- Object oriented training
- Java
- Object-oriented training
- Programming
- Object oriented Programming
- Oriented Programming
Course programme
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
Solr for Developers Training Course