Introduction to Apache Solr
Introduction to Apache Solr, available at $59.99, has an average rating of 4.3, with 44 lectures, 37 quizzes, based on 707 reviews, and has 2535 subscribers.
You will learn about Key design considerations for search applications. Install and configure Apache Solr 8 on a server How to model your data in the real world How to manage many of the elements of your schema via The Schema API Index JSON data in Solr using the HTTP Post tool and CURL command Implement best practices for data reindexing Get insights into Solr internals-indexing and search Work with a variety of analyzers and filters Search full-text and structured data in several different ways Enhance standard searches with faceting for navigation or analytics This course is ideal for individuals who are Software developers or System administrators or Database architects It is particularly useful for Software developers or System administrators or Database architects.
Enroll now: Introduction to Apache Solr
Summary
Title: Introduction to Apache Solr
Price: $59.99
Average Rating: 4.3
Number of Lectures: 44
Number of Quizzes: 37
Number of Published Lectures: 44
Number of Published Quizzes: 37
Number of Curriculum Items: 81
Number of Published Curriculum Objects: 81
Original Price: €54.99
Quality Status: approved
Status: Live
What You Will Learn
- Key design considerations for search applications.
- Install and configure Apache Solr 8 on a server
- How to model your data in the real world
- How to manage many of the elements of your schema via The Schema API
- Index JSON data in Solr using the HTTP Post tool and CURL command
- Implement best practices for data reindexing
- Get insights into Solr internals-indexing and search
- Work with a variety of analyzers and filters
- Search full-text and structured data in several different ways
- Enhance standard searches with faceting for navigation or analytics
Who Should Attend
- Software developers
- System administrators
- Database architects
Target Audiences
- Software developers
- System administrators
- Database architects
Whether you’re handling big data, building cloud-based services, or developing e-commerce web applications, it’s vital to have a fast, reliable search solution.
Introduction to Apache Solr 8 is a quick start guide if you are interested in learning how to leverage a search engine that is optimized to search large volumes of text-centric data. This Udemy course will have you successfully using Solr in no time!
Most of the sections use coding activities to help master the material. All code snippets and commands are available on Github, so you can try them for yourself.
Our goal for each example was that it be easy to use but cover the chapter topic thoroughly. In addition, after almost all video lectures you will have the chance to test your knowledge by answering the quizzesonUdemy.
Apache Solr Online Course Curriculum:
Understanding Search Engines
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Understanding search engines and the issues they address
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How Solr fits in the context of search engines
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Get a good sense of what types of data and use cases Solr supports.
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Typical scenarios for Solr
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You’ll learn about the kinds of problems you can solve with Solr and gain an overview of its key features.
Getting Started with Solr
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How to install and run Solr on your local workstation.
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Introduction to Solr’s core configuration files.
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What is a Solr Core/Collection and how to create it.
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Demonstrate how to index and query a set of example documents that ship with Solr.
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Introduction to Solr’s query form and learn the basic components of a Solr query.
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How to construct queries containing a main query parameter q as well as an optional filter fq.
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You saw how to control which fields are returned using the fl parameter and how to control the ordering of results using sort.
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A brief tour of Solr’s web-based administration console.
Designing our first Solr Application
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Introduce a fictitious web application for finding tweets.
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What a document is in Solr and what characteristics it has.
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We’ll get an overview of how Solr processes documents, to build the index.
Designing the Schema
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Understand what is and when to use the Schemaless mode
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How to manage many of the elements of your schema via The Schema API using HTTP.
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Learn about key design considerations for search applications.
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Discussed considerations about document granularity.
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Learn how to determine if a field should be indexed, stored, or both.
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Learn how to determine if a field should use docValues.
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Use multivalued fields for more complex document structures.
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Understand how dynamic fields are useful for supporting documents with many fields and documents coming from diverse sources.
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Learn how to use Solr’s copyField directive in order to populate a catch-all text search field.
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How to work with structured data using Solr’s support for strings, dates, and numeric field types.
Manipulating the Index
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Get an overview of common request types supported by the update handler.
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Beyond adding new documents, we’ll learn how to update existing documents using Solr’s atomic update support.
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We’ll explain how to guard against concurrent updates using optimistic concurrency control with the special _version_ field.
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We’ll see that after documents are processed, they need to be committed using either hard commits or soft commits for NRT search.
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We also learned how Solr processes query requests using a read-only view of the index with a component called a searcher.
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Explore how to model documents containing other documents using nested documents feature.
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Understand which types of changes require data reindexing, and how to manage the process of reindexing.
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Learn about segment merging and that it’s a good idea to avoid optimizing your index or changing segment-merge settings until you have a better understanding of your indexing throughput requirements.
Text Analysis
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Introduction to text analysis and why is an important part of the search process as it removes the linguistic variations between indexed text and queries.
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Learn how to define field types to do basic text analysis.
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Learn why field types for unstructured text-based fields are normally composed of two separate but compatible analyzers for indexing and query processing.
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Understand why each analyzer is made up of a tokenizer and chain of token filters.
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Test our simple analysis solution using Solr’s Analysis form and see how documents pass through StandardTokenizer and a chain of simple filters to remove stop words and lowercase terms.
Searching
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Uncovering Solr’s capabilities through its numerous and highly configurable request handlers pipeline.
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We discussed how Solr handles queries and filters to get a good understanding of how user queries and filters work: what the difference is, how they interact, and how they ultimately affect the performance and quality of your search requests.
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Describes the syntax and features supported by the main query parser, The Standard Query Parser, included with Solr and describes some other parsers that may be useful for particular situations.
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How to use facets for discovery, analytics, and filtering of search results
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Show top values in any field for matching documents via field facets
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Use range facets to get bucketed counts for numeric and date ranges
Course Curriculum
Chapter 1: Understanding Search Engines
Lecture 1: Issues Search Engines Address
Lecture 2: Why Do I Need Solr?
Lecture 3: Use-case: Why Solr?
Lecture 4: Main Characteristics of a Search Engine
Chapter 2: Meet Solr
Lecture 1: Installing Solr
Lecture 2: Creating a Solr Core
Lecture 3: Indexing Documents
Lecture 4: Basic Searching
Lecture 5: Sending Queries over HTTP
Lecture 6: Solr Administration Console
Chapter 3: Designing our First Solr Application
Lecture 1: Introducing the Twitter Search Application
Lecture 2: What is a Document?
Lecture 3: Overview of the Solr Indexing Process
Chapter 4: Designing the Schema
Lecture 1: Schemaless Mode
Lecture 2: Using the Schema API
Lecture 3: Designing the Schema
Lecture 4: Document Granularity
Lecture 5: Document Identification
Lecture 6: Indexed Fields
Lecture 7: Stored Fields
Lecture 8: DocValues Fields
Lecture 9: Multivalue Fields
Lecture 10: Dynamic Fields
Lecture 11: Copy Fields
Lecture 12: Field Types
Chapter 5: Manipulating the Index
Lecture 1: The UpdateHandler
Lecture 2: Advanced: Atomic Updates
Lecture 3: Advanced: Optimistic Concurrency Control
Lecture 4: Soft vs. Hard Commits
Lecture 5: Autocommits
Lecture 6: Indexing Nested Documents
Lecture 7: Understanding Reindexing
Lecture 8: Reindexing Strategies
Lecture 9: Should I Optimize My Index?
Chapter 6: Text Analysis
Lecture 1: Introduction
Lecture 2: Understanding Text Analysis
Lecture 3: Basic Text Analysis
Lecture 4: Text Analysis Process
Lecture 5: Experimenting Text Analysis with The Analysis Form
Chapter 7: Searching
Lecture 1: Overview of Searching in Solr
Lecture 2: The fq and q parameters
Lecture 3: The Standard Query Parser
Lecture 4: Faceted Search
Lecture 5: Implementing Faceting
Instructors
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Lucian Oprea
Software Engineer
Rating Distribution
- 1 stars: 12 votes
- 2 stars: 25 votes
- 3 stars: 102 votes
- 4 stars: 279 votes
- 5 stars: 289 votes
Frequently Asked Questions
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