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Proceedings of the XIII International Scientific and Practical Conference

dc.contributor.authorAndrushchak, Igor
dc.contributor.authorBandach, George
dc.date.accessioned2026-08-28T07:52:28Z
dc.date.issued2025-11-25
dc.description.abstractThe article discusses Salesforce operates in a multitenant environment where strict governor limits ensure fair resource allocation among organizations. Synchronous operations face stringent constraints: 100 SOQL queries, 150 DML statements, 6 MB heap size, and 10,000 milliseconds CPU time per transaction. When business requirements exceed these limits, asynchronous processing becomes essential, offering doubled governor limits: 200 SOQL queries, 300 DML statements, 12 MB heap size, and 60,000 milliseconds CPU time. Salesforce provides four primary asynchronous mechanisms: Future Methods for simple operations, Queueable Apex for complex workflows with job chaining, Batch Apex for large data volumes, and Scheduled Apex for recurring time-based operations. This research examines these asynchronous patterns, comparing their performance characteristics and establishing best practices for optimal resource management.
dc.identifier.citationAndrushchak I., Bandach G. Asynchronous processing in salesforce: future methods, queueable apex and batch operations for resource optimization Innovative directions for improving science, research and practice: Proceedings of the 13th International scientific and practical conference (Krakow, November 25-28 2025 р.). Krakow, 2025. P. 32-38.
dc.identifier.doi10.46299/isg.2025.2.13
dc.identifier.isbn9798900703008
dc.identifier.urihttps://repository.lntu.edu.ua/handle/123456789/6093
dc.language.isoen
dc.subjectASYNCHRONOUS PROCESSING IN SALESFORCE
dc.subjectFUTURE METHODS
dc.subjectQUEUEABLE APEX
dc.subjectBATCH OPERATIONS FOR RESOURCE OPTIMIZATION
dc.subjectSALESFORCE
dc.titleProceedings of the XIII International Scientific and Practical Conference
dc.title.alternativeAsynchronous processing in salesforce: future methods, queueable apex and batch operations for resource optimization
dc.typeArticle
dspace.entity.typeStudyCollections

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