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Core Solr Training Course

Get Started with Apache Solr


Our Solr training classes have a 4.48/5 rating based on 40 reviews

This 8-hour online course, split over the course of two days, is the fastest and easiest way for you and your team to gain the basic skills needed to successfully use Solr capabilities by improving your workflow and increasing efficiency. Beginners will learn the core Solr concepts from scratch, such as inverted index, Solr schema, analysis, tokens, token filters, highlighting and query parsing. This online training covers Solr 6.x, 7x and 8x. See course outline below for more details.

Your Apache Solr instructor is Rafal Kuć, an active Solr engineer and consultant with years of experience helping enterprise, medium and small organizations from 15+ different industries. Rafal is the author of Solr Cookbook series with ready to use recipes providing solutions to common problems when working with Solr. Here are some issues Rafal solved for Sematext clients recently:

  • Designed and deployed Master-Slave and SolrCloud based architectures from small businesses to large scale enterprises use-cases
  • Improved search relevancy to provide on-point results in various business use cases from e-commerce to health industries
  • Optimized clusters handling thousands of queries per second
  • Helped clients reduce operational costs by optimizing the amount of hardware needed as a result of SolrCloud tuning
  • Diagnosed and suggested solutions for various JVM related issues – from garbage collector problems to heap usage reduction without costs increase

What’s Included

  • 8-hour online training
  • A digital copy of the training material
  • Docker Compose files, configs, scripts, etc.
  • Certificate of Completion

Next Class: TBA See Upcoming Classes

$800.00 -10% Early Bird Register Now

On-site training available upon request

Looking for an extended knowledge-based Solr training covering form beginner to an advanced level? You’ve come to the right place.

Request Now

Why attend?

  • Small, interactive, instructor-led classes
  • Lots of hands-on exercises, tutorials and training materials
  • Customized learning experience
  • More flexibility – no need to travel
  • Real-world use cases and scenarios
  • Get our Solr certification – Certificate of Completion included

Who should attend?

This Solr course is designed for technical attendees of any knowledge level and is aimed at those who need to configure, tune and manage Solr and have only basic Solr knowledge.

No prior Solr experience is required. Experience with Linux systems is not a must, but basic familiarity with running shell commands (e.g., using curl command) will make the course more enjoyable.

What attendees say

Thank you for a very informative training, such a wealth of information that I truly enjoyed learning about.

Vickie Jean Charles 
Sr. System Engineer – Xactly Corporation

If you are serious about getting Solr right, this is the course for you. Simply put, it’s the best Solr instruction for those who want to master this domain and use Solr in the real world

Architect at Large Cloud Company

Course Outline

Getting started with Solr
  • What is Apache Solr
  • General principles
  • Architecture types
Introduction to Solr
  • Starting Solr with schema-less configuration
  • Inverted index
  • Relevancy basics
  • Indexing documents
  • Retrieving documents by identifier
  • Searching for documents
  • Deleting documents
  • Lab
    • Using start scripts
    • Working with configuration
    • CRUD operations
Indexing data
  • Data structure
  • Index structure configuration
  • Defining custom field types
  • String vs Text based types
  • Basic field usage examples
  • Tokenizers
  • Char filters
  • Filters
  • Language-oriented data
  • Dynamic fields
  • Copy fields
  • Running Solr with our own configuration
  • XML data format explained
  • JSON data format explained
  • CSV data format explained
  • Batch indexing
  • Doc values
  • Additional field properties
  • Lab
    • Creating field and type structure
    • Using copy fields
    • Using Solr language analysis capabilities
    • Indexing data in various formats
  • Simple URI search
  • Paging
  • Sorting
  • Filters
  • Choosing display fields
  • Pseudo fields
  • Debug query
  • Lucene query language
  • Standard query parser
  • Dismax query parser
  • Extended DisMax query parser
  • XML query parser
  • Examples of other parsers
  • Using cursor for deep paging
  • Dealing with relevancy
  • Multi collection search
  • Lab
    • Paging
    • Sorting
    • Term searching
    • Using various query parsers
    • Using cursor
Data Analysis
  • Introduction to faceting
  • Basic use cases
  • Field faceting
  • Field prefix faceting
  • Sorting faceting results
  • Limiting faceting
  • Range faceting
  • Query faceting
  • Hierarchical faceting
  • Interval faceting
  • Lab
    • Building tag cloud using field faceting
    • Using prefixes to build simple autocomplete feature
    • Sorting faceting results
    • Working with numerical data and faceting
    • Using hierarchical faceting to get more insight into the data
    • Interval faceting
JSON Facets
  • Introduction to JSON request API
  • Facet functions
  • Nested JSON facets
  • Execution type
  • Lab
    • Searching using JSON request API
    • Finding top tags
    • Retrieving statistics using range faceting
    • Using terms JSON facets to retrieve term counts
    • Using functions with JSON facets
    • Nesting JSON facets
Highlighting and More Like This
  • Introduction to highlighting
  • Highlighting query hits
  • Specifying fields to highlight
  • Choosing highlighting tags
  • Using FastVectorHighlighter
  • Using PostingsHighlighter
  • Using Unified highlighter
  • Finding similar documents
  • Prerequisites for More Like This functionality
  • Configuring More Like This functionality
  • Lab
    • Highlighting field matches
    • Using own tags for matching highlighted fragments
    • Using various parsers with highlighting
    • Using different query for highlighting and matching
    • Finding documents similar to a given one
    • Using term frequency and length to find similar documents

Main Topics

  • What is Apache Solr
  • Apache Solr Basic Concepts
  • Apache Solr Architecture Concepts
  • Apache Solr Strengths and Weaknesses
  • Apache Solr CRUD Operations
  • Data Structure Design
  • Working with Fields and Field Types
  • Searching
  • Faceting
  • Highlighting
  • Finding Similar Documents

Elasticsearch Training

Course key takeaways

After taking this course you will know how to:

  • Configure and deploy Solr.
  • Run a wide range of queries including queries with facets and aggregations
  • Index documents with Solr

Setup requirements

  • Participants must use their own computer with OSX, Linux, or Windows, with a recent version of Java installed.
  • Participants should be comfortable using a terminal/command line.

Upcoming Classes

Pick from the Solr Online Course matching your exact needs. Delivery method: Live Online. Time: 09:00 AM – 01:00 PM ET (2 sessions).

To be announced

Need On-Site or Remote Training

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