Elasticsearch Joins & Parent-Child Queries

Overview

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.

Syllabus

Query Joins and Fundamentals

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.

Event Data and Advanced Query Features

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.

Parent-Child Queries and Document Relationships

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.