How do developers handle pagination and throttling when hitting API rate limits on the Salesforce REST API during high volume data loads?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do developers handle pagination and throttling when hitting API rate limits on the Salesforce REST API during high volume data loads?
1 real search · 1 real-search pass
Salesforce REST API pagination nextRecordsUrl Bulk API 2.0 API limits 429 REQUEST_LIMIT_EXCEEDED Retry-After official documentationGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Salesforce REST API pagination nextRecordsUrl Bulk API 2.0 API limits 429 REQUEST_LIMIT_EXCEEDED Retry-After official documentation Google ↗
- Resolving Salesforce API Error "REQUEST_LIMIT_EXCEEDED" & Proactive Monitoring · help.salesforce.com
- Limits | Bulk API 2.0 | Bulk API 2.0 and Bulk API Developer Guide · developer.salesforce.com
- Bulk API 2.0 | Bulk API 2.0 and Bulk API Developer Guide · developer.salesforce.com
- Bulk API and Bulk API 2.0 Limits and Allocations | Salesforce Developer Limits and Allocations Quick Reference · developer.salesforce.com
- Integration Patterns | Data 360 and Integration | Fundamentals · architect.salesforce.com