Learn how to use sparse indexes in DynamoDB to improve query performance and reduce storage costs. Explore best practices to design and use sparse indexes.

12 мар. 2021 г. · By using sparse secondary indexes, you can minimize your DynamoDB storage costs and not compromise on having fast, efficient queries. You can ...

11 июл. 2021 г. · Sparse indexes are useful for queries over a small subsection of a table. For example, suppose that you have a table where you store all your ...

11 июл. 2023 г. · A DynamoDB Sparse Index is a Secondary Index in Amazon DynamoDB that contains a subset of the items from the base table.

Learn about the best practices for using secondary indexes in DynamoDB, including guidelines on efficient use, careful projection, and avoiding fetches.

6 сент. 2024 г. · Sparse indexes offer a powerful way to filter your DynamoDB table to efficiently satisfy specific access patterns by only including relevant data.

5 апр. 2024 г. · Sparse Indexes are a powerful and easy technique to achieve data filtering our our table in DynamoDB. In this article we went over what indexes ...

14 окт. 2020 г. · A sparse index could work if you only want a subset of attributes, you'd want to use ProjectionType: INCLUDES to include the non-key ... How can I make a sparse index if the key is always required? Are AWS DynamoDB sparse indexes allowed on GSI Global ... DynamoDB: can Local Secondary Indexes be sparse Другие результаты с сайта stackoverflow.com

Продолжительность: 15:25
Опубликовано: 18 июл. 2023 г.

The GSI Sparse Index table is used to locate items that contain uncommon attributes - that is, attributes that do not appear in all items in the table.