Intermediate Solr Training Course
Learn and Master Solr Faster
Rating: 
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, helps you and your team understand the differences and use-cases for Solr and SolrCloud, create Spatial Search and Function Queries, perform Document Grouping and more. You will further learn how to tune and scale Solr and SolrCloud to boost your productivity and save time, as well as various operational elements, like monitoring or backups. This online training covers Solr 6.x, 7x and 8x. See the 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 a ready to use recipes providing solutions to common problems when working with Solr. Here are some issues Rafal Kuć 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 hours online training
- A digital copy of the training material
- Docker Compose files, configs, scripts, etc.
- Certificate of Completion
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.
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 online course is designed for technical attendees with basic Solr experience: A person should be able to index data to Solr, run queries, work with Solr analysis and use faceting. Experience with Linux systems is not a must, but a basic familiarity with running shell commands (e.g., using curl command) will make the course more enjoyable.
Prerequisites: Sematext’s Core Solr or pre-existing knowledge of Solr concepts covered in Core Solr.
What attendees say
Thank you for a very informative training, such a wealth of information that I truly enjoyed learning about.
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
Course Outline
Solr Architecture
- Solr master – slave architecture
- SolrCloud architecture
- Solr master – slave vs SolrCloud
Spatial Search
- Indexing spatial data
- Spatial filters
- Distance function queries
- Bounding box field
- Heatmap faceting
- Lab
- Configuring spatial field types
- Indexing spatial data
- Searching for documents within distance from a point
- Sorting documents on the basis of a distance
- Boosting documents on the basis of distance
Documents Grouping
- Grouping documents by field value
- Grouping documents by function value
- Grouping documents by query
- Paging in grouped results
- Controlling number of groups and documents count
- Sorting inside groups
- Documents grouping and faceting
- Using collapse query parser
- Using expand component
- Lab
- Displaying top matching document per group
- Sorting grouping results
- Controlling number of displayed documents and groups
- Sorting inside groups
- Using queries for creating document groups
- Displaying number of calculated groups
- Using faceting with grouping
- Using collapse parser to execute efficient grouping
Relations
- Flat documents approach
- Nested documents
- Dynamic query time joins
- Lab
- Working with nested documents
- Working with query time joins
Function Queries
- Using function queries
- Math function queries
- Term function queries
- Example use cases
- Boosting by using functions
- Sorting by function
- External file field type
- Using external file field type for boosting
- Lab
- Using efficient range filtering
- Sorting on the basis of function value
- Including function value in returned documents
- Boosting using function value
Spellchecking
- Spellchecker with its own index
- File based spellchecker
- Index based spellchecker
- Building spellchecker
- Including spell checking results with queries
- Querying spellchecker independently
- Maximum number of suggestions
- Collation
- Controlling collation
- Accuracy
- Extended results
- Lab
- Working with Spellchecker configuration
- Running queries with Spellchecker
- Using various Spellchecker implementations
Suggesters
- What are suggesters
- Suggester types
- Configuring suggesters
- Using different dictionary factories
- Lab
- Creating suggester configuration for a field
- Building suggester dictionary automatically
- Creating separate suggester configuration
- Using created suggester
API v2
- What is API v2
- Nested documents
Configuring Solr Internals
- General solrconfig.xml section
- Replication
- Update request processors
- Language detection
- Configuring logging
- Slow query log
- Lab
- Preparing master – slave replication
- Language detection during document indexing
- Configuring slow logging
Tuning Solr
- Indexing threads
- Indexing buffer size
- Auto commit tuning
- Caches
- Replication throttling
- Warming up
- Lab
- Configuring indexing buffer
- Configuring auto commits
- Configuring warming queries
Scaling Solr & SolrCloud
- Solr master & slaves configuration
- ZooKeeper role explained
- Working with ZooKeeper
- Sharding
- Using Collections API
- SolrCloud Replica Types
- Caches in SolrCloud
- Aliases
- Lab
- Creating collections
- Creating aliases
- Setting up caches for rapidly changing data
- Setting up caches for high querying scenarios
Operations
- Running Solr as a service on Linux and Windows systems
- Backing up Solr master slave
- Backing up SolrCloud
- Monitoring using JMX
- Monitoring using SPM
- Key Metrics to Monitor
- Lab
- Install Solr using install scripts
- Create a backup of master – slave environment
Main Topics
- Solr Master-Slave Architecture
- SolrCloud Architecture
- Using Spatial Search & Heatmap Faceting
- Grouping Documents using Various Criteria
- Working with Relations
- Using Function Queries for Relevancy
- Using New v2 API
- Understanding Apache Solr Configuration
- Indexing Buffer, Automatic Commits, Caches & Warming Up
- Sharding and Replication in SolrCloud
- Working with Collections
- Installing Solr
- Key Apache Solr Metrics to Monitor
Course key takeaways
After taking this course you will:
- Understand the differences and use-cases for Solr and SolrCloud
- Create Spatial Search and Function Queries
- Perform Document Grouping
- Configure and tune Query Spellchecking and Suggesters
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).
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