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Solr For Developers

Price
2,100 USD
3
EJBD-125
Classroom Training, Online Training
Other

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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:
Provide experienced web developers and technical staff with a comprehensive introduction to the Solr search platform. Teach software developers deep skills creating search solutions.
 

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
Searching
  • 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
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
Developer sessions: 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
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