Non-Relational Database Schema Templates for Transaction Processing
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Solution Overview
Problem
Designing and maintaining non-relational database schemas for high transaction volumes is challenging due to the need for denormalization, which complicates scalability and performance, unlike relational databases that sacrifice these aspects for data integrity.
Innovation Solution
A development platform provides pre-defined database templates for common data types and access patterns, allowing developers to select templates that automatically generate and manage non-relational database schemas, handle operations like caching and indexing, and translate requests into appropriate database instructions, reducing the need for developers to write complex schema design and query language code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-relational databases use denormalization to handle high transaction volumes, then transaction processing capability is improved, but schema complexity increases
Solution Approach 1:
The patent applies preliminary action by providing pre-defined database templates that contain pre-configured denormalized schemas optimized for specific transaction patterns. Developers can select from templates like 'user profile,' 'product catalog,' and 'order processing' that already have the complex denormalization structure prepared, eliminating the need to manually design complex schemas while still achieving high transaction processing capability.
Solution Approach 2:
The patent introduces an intermediary layer between the developer and the non-relational database through a template service. This intermediary automatically generates and manages the complex denormalized schemas based on selected templates, handling the schema complexity internally while presenting a simplified interface to developers. The template service acts as a mediator that translates high-level template selections into detailed schema configurations.
2Speed
If developers manually design non-relational database schemas for high performance, then access times are reduced, but development time and complexity increase
Solution Approach 1:
The template service performs preliminary action by pre-configuring optimized schemas for common data access patterns. Templates are designed in advance with optimal field structures, indexing strategies, and denormalization levels that have been tuned for fast data access. When a developer selects a template, they inherit these pre-optimized configurations without needing to manually tune performance parameters.
Solution Approach 2:
The patent applies copying by allowing developers to select from pre-defined template schemas that represent best practices for different data types and access patterns. Instead of designing schemas from scratch, developers copy proven template structures that already embody performance optimizations. The template service replicates these standardized schemas across multiple databases, ensuring consistent performance characteristics.
3Productivity
If non-relational databases automate operations like caching and indexing, then storage efficiency and access times improve, but system complexity increases
Solution Approach 1:
The template service implements self-service by automatically generating and managing caching strategies, indexing configurations, and other performance-optimizing operations based on the selected template. The system autonomously configures these operations without requiring developer intervention or manual tuning. For example, when a 'product catalog' template is selected, the system automatically sets up appropriate indexing on product fields and caching strategies for frequently accessed product data.
Data Source
AI summary
In various embodiments, a computer system implements a service that stores a plurality of database templates that define data types supported for a non-relational database accessible to a plurality of applications. The service receives, from a developer of an application, a selection of one of the plurality of database templates to be used by the application. In response to the selection, the service issues a set of data definition language (DDL) instructions to provision the non-relational database with a schema that implements a particular data type defined by the selected template. Requests from the application to manipulate a value of the particular data type stored in the non-relational database system are serviced. In some embodiments, the servicing includes identifying a set of data manipulation language (DML) instructions to be executed and issuing the set of DML, instructions to the non-relational database.