Elasticsearch Joins & Parent-Child Queries

本课程是 Elastic Stack Mastery with Elasticsearch & AWS 专项课程的一部分

位教师：EDUCBA

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3个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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

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您将学习的工具

要了解的详细信息

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作业

9 项作业

授课语言：英语（English）

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本课程是 Elastic Stack Mastery with Elasticsearch & AWS 专项课程专项课程的一部分

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该课程共有3个模块

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.

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.

涵盖的内容

8个视频3个作业

8个视频总计66分钟

Introduction to Joining Queries 10分钟
Application Side Joins 9分钟
Nested Queries 9分钟
Nested Queries Continues 8分钟
Checking Mapping Documents 7分钟
Nested Queries Workshop 7分钟
Index with Proper Mapping 7分钟
Indexing Document 9分钟

3个作业总计50分钟

Joining Queries and Application-Side Approaches 10分钟
Nested Queries in Practice 10分钟
Query Joins and Fundamentals 30分钟

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.

涵盖的内容

7个视频3个作业

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.