Multi-tenant SQL Bridge for Unified Query Syntax
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Solution Overview
Problem
The existing database systems in cloud computing environments face challenges due to syntactical and behavioral differences, leading to support issues and customer frustration, as developers need to manage various database types like Oracle and Postgres, which have distinct functions and features.
Innovation Solution
The implementation of a multi-tenant aware structured query language, specifically SFSQL, which includes features like BY ORGID, BY PARTITION, dynamic macros, and conditional statement execution, allows for a unified syntax to operate across multiple database systems, bridging the gap between disparate systems through a database bridge that translates queries into native SQL for Oracle and Postgres.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple database system types (Oracle, Postgres) are provided to satisfy diverse customer needs, then functionality and capability are improved, but syntactical and behavioral differences cause support issues and customer frustration
Solution Approach 1:
The patent introduces a database bridge as an intermediary layer between the unified SFSQL query language and multiple native database systems (Oracle, Postgres). This bridge automatically translates SFSQL queries into database-specific SQL dialects, allowing customers to interact with a single standardized interface while the bridge handles the complexity of supporting multiple database types, thereby eliminating support issues without reducing functionality.
Solution Approach 2:
The patent creates a universal query language (SFSQL) that can operate across multiple database system types. By designing SFSQL with multi-tenant awareness and unified syntax that works with Oracle, Postgres, and other databases through the bridge, the system achieves versatility in supporting diverse database backends while maintaining a single ease-of-use interface for all customers.
2Ease of operation
If a single homogeneous database system is provided to eliminate syntactical differences, then support issues are reduced, but customers lose the ability to choose the best database type for their needs
Solution Approach 1:
The database bridge serves as a mediator that allows a single unified query interface (SFSQL) to access multiple different database system types. Customers interact only with SFSQL, eliminating support issues, while the bridge translates queries to the appropriate native database dialect, preserving the ability to choose different database backends based on customer needs.
Solution Approach 2:
The patent segments the database interaction into two distinct layers: the unified SFSQL interface layer that customers interact with, and the native database implementation layer that handles specific database requirements. This segmentation allows the system to present a homogeneous interface to customers while maintaining support for multiple heterogeneous database systems behind the scenes.
3Adaptability or versatility
If database systems provide varying syntax and behavior to meet specific customer requirements, then adaptability is improved, but device complexity increases due to managing disparate systems
Solution Approach 1:
The database bridge acts as an intermediary that abstracts away the complexity of managing multiple disparate database systems. It automatically handles syntax translation, dialect-specific optimizations, and behavioral differences between Oracle, Postgres, and other databases, allowing the system to maintain adaptability to specific customer requirements without increasing operational complexity.
Solution Approach 2:
The patent creates a copy or abstraction layer (SFSQL) that mirrors the essential functionality of multiple native database languages without requiring customers to learn or manage the actual disparate syntaxes. The bridge translates this unified copy into the appropriate native dialects, reducing complexity while preserving adaptability.
Data Source
AI summary
In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing a BY ORGID command term within a multi-tenant aware structured query language within a computing environment. For instance, such an exemplary system having a processor and a memory therein includes means for operating a multi-tenant database system having customer data stored therein for a plurality of distinct customer organizations; receiving a database query specifying a command term to filter all tables accessed pursuant to execution of the database query by an organization_id parameter corresponding to one of the plurality of distinct customer organizations; parsing the database query to identify the command term specified; parsing the database query to identify any part of the received database query corresponding to one or more tables within the multi-tenant database system; generating a new structured query language statement to execute against the multi-tenant database system in fulfillment of the database query received, in which the new structured query language statement filters every reference to the one or more tables by the organization_id parameter; and executing the new structured query language statement against the multi-tenant database system. Other related embodiments are disclosed.