Query Accelerator Nodes Using Binary Encoding for Datastore Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current storage services face challenges in optimizing performance for multi-tenant environments, where trade-offs between data durability, availability, and performance can limit efficiency, especially for applications requiring single-tenant data access and varying data set versions.
Innovation Solution
Implementing query accelerator nodes with binary encodings and asynchronous data writing techniques, allowing for localized caching and optimized processing of queries, while maintaining data consistency and availability through intelligent routing and caching policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-tenant storage services are implemented to share physical resources among multiple customers, then resource utilization levels improve, but performance levels deteriorate due to trade-offs between data durability, availability, and performance
Solution Approach 1:
The patent segments the storage service into multi-tenant and single-tenant modes, allowing different performance characteristics for different customer needs. The system divides storage nodes into groups that can operate in different tenancy modes, enabling high resource utilization in multi-tenant mode while preserving performance-critical workloads in single-tenant mode.
Solution Approach 2:
The patent implements dynamic resource allocation and performance optimization techniques that allow the system to adapt resource allocation based on workload characteristics. The system can dynamically adjust between sharing resources among multiple tenants or dedicating resources to a single tenant based on performance requirements and utilization goals.
2Reliability
If data is distributed across multiple storage nodes in multi-tenant mode, then data durability and availability improve, but processing efficiency deteriorates for applications requiring single-tenant data access
Solution Approach 1:
The patent applies local quality by providing different data access and processing characteristics to different customers based on their needs. Single-tenant customers receive dedicated processing resources and optimized data access paths, while multi-tenant customers share resources with other tenants. This allows the system to maintain high durability and availability through distribution while preserving processing efficiency for customers who require it.
Solution Approach 2:
The patent introduces an intermediary layer that manages data distribution and access across storage nodes. This intermediary layer coordinates data access patterns, manages caching strategies, and optimizes query routing to balance between the benefits of distributed storage (durability and availability) and the needs of single-tenant applications for efficient processing.
3Reliability
If durability and availability features are implemented in multi-tenant storage services, then data protection improves, but performance levels deteriorate when trade-offs are possible
Solution Approach 1:
The patent implements parameter changes by allowing customers to configure durability and availability parameters according to their specific needs. The system supports different replication factors, consistency models, and durability guarantees that can be adjusted based on performance requirements. This enables customers to optimize the trade-off between durability/features and performance by selecting appropriate parameter configurations.
Data Source
AI summary
A fleet of query accelerator nodes is established for a data store. A particular node stores a binary encoding of a data item in a local data cache. The encoding identifies a metadata record indicating names of attributes of the data item. In response to receiving a particular query directed to the data item, an executable code component generated to produce a result for the query is cached in a local query code cache. When a second query which meets a matching criterion is received, the executable code component is re-used to obtain a result for the second query.