Improve N1QL Query Performance Using Indexes from Pluralsight

This course covers the different kinds of indexes available in Couchbase to help speed up the execution of N1QL queries. The course includes a combination of concepts and labs to demonstrate the creation of indexes and their use in N1QL queries.

Indexes are a very interesting feature in any database, and this is also true of Couchbase. In this course, Improve N1QL Query Performance Using Indexes, you will cover the various kinds of indexes you can create and what kind of N1QL queries they can help with in terms of speeding up their execution.

First, you will begin by exploring the most basic kinds of indexes which are known as primary indexes. Next, you will look at secondary indexes containing just a single field and how one or more of them can be used by a N1QL query to improve performance. Then, you will move on to composite indexes containing multiple fields and discuss their benefits and limitations. Finally, you will glimpse the Analytics Service in Couchbase which allows you to run queries against the data in a bucket by splitting them up into datasets of similar documents.

Once you are done with this course, you will be quite the expert in the different kinds of indexes available in Couchbase, and how they can be applied to improve the performance of your N1QL queries.

What's inside

Syllabus

Course Overview

Getting Started with Indexes

Creating Secondary Indexes in Couchbase

Building Complex Secondary Indexes

Implementing Different Types of Indexes

Understanding Factors That Affect Query Performance

Distributing Query Execution Loads with Pushdowns

Optimizing Query Execution

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a foundation in database indexing for learners looking to improve the efficiency of their database queries

Explores various kinds of indexes and their applications in optimizing query performance

Taught by industry expert Kishan Iyer, who is recognized for his work in database indexing and optimization

Provides a combination of theoretical explanations and practical labs, allowing learners to apply concepts hands-on

Focuses on N1QL queries, making the course particularly relevant for developers working with Couchbase

Requires prior experience with N1QL and Couchbase, which may not be suitable for complete beginners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Improve N1QL Query Performance Using Indexes with these activities:

Review foundational database concepts

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Review key foundational database concepts for better understanding when learning more advanced topics.

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Read through textbooks on database concepts
Go through online tutorials and videos on database theory
Attend a workshop or seminar on database fundamentals

Develop a performance-optimized indexing strategy

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Deepen understanding of indexing concepts and their application in designing an optimal indexing strategy.

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Identify key performance requirements and data access patterns
Design an indexing strategy considering different index types
Implement and test the indexing strategy
Monitor and refine the indexing strategy over time

Contribute to Couchbase open-source projects related to indexing

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Gain practical experience and contribute to the Couchbase community by participating in open-source projects.

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Find relevant open-source projects related to Couchbase indexing
Review the project documentation and codebase
Identify areas where you can contribute, such as bug fixes or feature enhancements
Submit pull requests with your contributions

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Build a sample application showcasing the use of Couchbase indexes

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Gain hands-on experience in applying indexing techniques to solve real-world data management problems.

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Design a simple data model and schema
Implement the application using Couchbase and N1QL
Create and optimize indexes based on application requirements
Test the application's performance with and without indexes
Deploy and monitor the application in a production-like environment

Career center

Learners who complete Improve N1QL Query Performance Using Indexes will develop knowledge and skills that may be useful to these careers:

SQL Developer

An N1QL Query Performance Using Indexes course can help an SQL Developer excel in the role's typical duties, including writing and modifying database queries, tuning database performance, and working with database administrators to optimize database schemas.

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Database Administrator

The material covered in this N1QL Query Performance Using Indexes course may be of some practical use to a DBA. A Database Administrator's role often includes choosing and implementing indexes and tuning queries to improve the performance of database systems.

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Data Analyst

Taking an N1QL Query Performance Using Indexes course may be helpful to a person seeking a career as a Data Analyst. The role often includes writing queries to extract and analyze data from databases.

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Data Architect

A N1QL Query Performance Using Indexes course may be useful to a Data Architect. The role typically involves designing and implementing data models and ensuring that data is stored and organized in a way that supports efficient querying and analysis.

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Software Engineer

Taking a course on N1QL Query Performance Using Indexes can be an asset to a Software Engineer, who often needs to write efficient queries to retrieve and manipulate data from databases.

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Business Analyst

An N1QL Query Performance Using Indexes course can be of practical use to a Business Analyst. The role frequently includes gathering and analyzing data to identify trends and insights that can be used to make business decisions.

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Information Systems Manager

An N1QL Query Performance Using Indexes course may be helpful to an Information Systems Manager. The role often requires knowledge of database systems and how to optimize their performance.

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