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Elasticsearch Joins & Parent-Child Queries

This course is part of Elastic Stack Mastery with Elasticsearch & AWS Specialization

Instructor: EDUCBA

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply nested and parent-child queries for data modeling.
Optimize Elasticsearch joins and query performance.
Implement relational-style data structures using mappings.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Elastic Stack Mastery with Elasticsearch & AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

By the end of this course, learners will be able to apply nested queries, implement parent-child mappings, and execute relational-style joins in Elasticsearch for advanced data modeling. You will gain the skills to index event-driven data, use inner hits for detailed matches, and optimize query performance with global ordinals.

This course is designed to bridge the gap between traditional relational databases and Elasticsearch’s document-oriented model. Through practical workshops and structured lessons, learners will explore application-side joins, nested queries, and indexing best practices. The course then advances into modeling complex one-to-many relationships using parent-child queries, with hands-on exercises for has_child and has_parent functionalities. What makes this course unique is its step-by-step alignment of relational concepts with Elasticsearch capabilities, ensuring you not only understand the theory but also practice real-world applications. Whether you are a data engineer, developer, or search specialist, this course equips you with essential strategies to analyze, structure, and query large-scale datasets efficiently in Elasticsearch.

Module details

This module introduces learners to the relational aspects of Elasticsearch, focusing on how queries can simulate relational joins within JSON structures. It covers application-side joins, nested queries, mapping validations, and practical workshops to ensure accurate and efficient query execution. By the end of this module, learners will understand how to structure and query complex document relationships.

What's included

8 videos3 assignments

8 videosTotal 66 minutes

Introduction to Joining Queries10 minutes
Application Side Joins9 minutes
Nested Queries9 minutes
Nested Queries Continues8 minutes
Checking Mapping Documents7 minutes
Nested Queries Workshop7 minutes
Index with Proper Mapping7 minutes
Indexing Document9 minutes

3 assignmentsTotal 50 minutes

Query Joins and Fundamentals30 minutes
Joining Queries and Application-Side Approaches10 minutes
Nested Queries in Practice10 minutes

This module explores how event-based data is indexed and analyzed in Elasticsearch. Learners will work with sign-up and payment events, post-event indexing, and the use of inner hits for detailed query results. The module also introduces parent-child mappings and global ordinals to efficiently model one-to-many relationships.

What's included

7 videos3 assignments

7 videosTotal 65 minutes

Sign Up and Payment Event10 minutes
Post Event Index9 minutes
Inner Hits9 minutes
Parent Child Mapping11 minutes
Parent Child Mapping Continues9 minutes
Parent Field9 minutes
Global Ordinals8 minutes

3 assignmentsTotal 50 minutes

Event Data and Advanced Query Features30 minutes
Event Indexing and Data Flow10 minutes
Parent-Child Mapping Essentials10 minutes

This module provides hands-on practice with advanced parent-child queries. Learners will master the has_child and has_parent queries, refine queries with constraints, and sort parent documents using child values. The focus is on understanding performance considerations and effectively linking parent and child data for scalable queries.