Methodology for dynamic management of transactional resources in salesforce: an architectural approach to SQOL query minimization

Abstract

This article is dedicated to the development of a methodology for dynamic management of transactional resources on the Salesforce platform with emphasis on SOQL query minimization. The problem of spaghetti code in Apex triggers is examined, which leads to exceeding the limit of 100 SOQL queries per transaction and the occurrence of critical System. LimitException errors in production environments. Existing approaches to trigger code organization are analyzed, including traditional frameworks and their limitations in the context of guaranteeing non-violation of resource limits. A methodology of adaptive architectural modeling is proposed, which is based on the principle of mandatory centralization of data access through the Data Access Layer and includes algorithms for SOQL query aggregation. Architectural rules have been developed that mathematically guarantee compliance with the condition of not exceeding 100 SOQL queries regardless of the number of business handlers. Experimental validation of the methodology was conducted on test data volumes of 200 records, which confirmed the reduction in the number of SOQL queries from 165 to 8 per transaction with improvement in execution time from 8700 ms to 2300 ms. The methodology ensures code structuring according to the Single Responsibility Principle, dynamic management of handler execution order, and the possibility of activating and deactivating functionality through metadata without changing program code. The scientific novelty lies in the formalization of architectural rules for data access centralization and the creation of a mathematical model for guaranteeing resource constraints in conditions of multi-layered architecture of a multi-tenant platform.