While the current Flint index solution, as of version 0.4 (Issue #3), significantly enhances query acceleration, it still falls short in terms of scalability and performance when handling large-scale datasets. This limitation often leads to user frustration due to inefficient processing and delayed responses.
This meta issue aims to address these user pain points by consolidating all related enhancements and improvements for better tracking and resolution. Here are linked issues for use case support:
To effectively address the performance and scalability issues identified, a comprehensive and systematic approach is proposed. This strategy is organized into tasks, each targeting specific components of the Flint index system, and categorized as follows:
Is your feature request related to a problem?
While the current Flint index solution, as of version 0.4 (Issue #3), significantly enhances query acceleration, it still falls short in terms of scalability and performance when handling large-scale datasets. This limitation often leads to user frustration due to inefficient processing and delayed responses.
This meta issue aims to address these user pain points by consolidating all related enhancements and improvements for better tracking and resolution. Here are linked issues for use case support:
What solution would you like?
To effectively address the performance and scalability issues identified, a comprehensive and systematic approach is proposed. This strategy is organized into tasks, each targeting specific components of the Flint index system, and categorized as follows:
Direct Query
Skipping Index
Covering Index
Materialized View
Advanced OpenSearch Optimization
Performance Test
What alternatives have you considered?
N/A
Do you have any additional context?
N/A