When your Salesforce org contains millions of records, how you read and process that data matters just as much as what you do with it. Salesforce’s Batch Apex is designed to process massive datasets within governor limits—but to use it effectively, you need well-tuned scope sizes, efficient “queryMore”-style pagination, and...
Fast, reliable Apex leans on three pillars: relationship queries, aggregate SOQL, and thoughtful subqueries—while steering clear of N+1 patterns. Nail these and your code stays bulkified, selective, and governor-limit friendly. Relationship SOQL (child → parent): follow lookups with dot notation Concept: Pull fields from a parent record in the same...
If you want blazing-fast SOQL, your filters have to be selective. In practice, that means your WHERE clause narrows things enough for Salesforce to rely on an index. Use the Query Plan tool to see what the optimizer intends to do and shape your filters to hit standard, custom, or...
Introduction Salesforce is multi-tenant at its core: many customers share the same runtime, database fabric, and services, while each org’s data and metadata stay logically isolated. To keep this shared environment fast and fair, Salesforce enforces governor (trust) limits—caps on resource usage at the transaction and org level. With Hyperforce,...
