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Solr For Developers
Duration
3
Course
EJBD-125
Available Formats
Classroom Training, Online Training
Course Description
Overview
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.Objectives
During the Solr For Developers course, students will learn:
- Solr installation and configuration
- Solr architecture and design
- Faceting, indexing, and search
- Advanced topics including spell checking, suggestions, Multicore, and SolrCloud.
- Overall Goal:
Audience
Developers, business users, administrators
Prerequisites
-
All attendees should be experienced technical staff with a background in web application operations and, preferably, development.
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
- Sorting results
- Query parsers
- More queries
- Hardwiring request parameters
- Adding fields to the default search
- Faceting
- Result grouping
- Labs: advanced queries, experiment with faceted search
- 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
- Adding fields to the schema
- Analyzing text
- Labs: customize Solr schema
- Field weighting
- Phrase queries
- Function queries
- Fuzzier search
- Sounds-like
- Labs: implementing queries for relevance
- More-like-this
- Geospatial
- Spell checking
- Suggestions
- Highlighting
- Pseudo-fields
- Pseudo-joins
- Multilanguage
- Labs: implementing spell checking and suggestions
- Adding more kinds of data
- Labs: creating and administering cores
- Introduction
- How SolrCloud works
- Commit strategies
- ZooKeeper
- Managing Solr config files
- Labs: administer SolrCloud
- 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
- Building a Lucene index
- Searching, viewing, debugging
- Extracting text with Tika
- Scaling Lucene indices on clusters
- Lucene performance tuning
- Labs: coding with Lucene
- Other approaches to search: ElasticSearch; DataStax Enterprise: Solr+Cassandra; Cloudera Solr integration; Blur
- Future directions
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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