SShortSingh.
Back to feed

Six Common Pagination Bugs That Break Oracle Fusion REST API Integrations

0
·3 views

Oracle Fusion REST APIs paginate all collection responses by default, returning only the first 25 rows unless developers explicitly handle pagination — a behavior that can silently cause incomplete data fetches. Common integration bugs include ignoring the hasMore flag, using incorrect offset calculations, and failing to account for server-side limit overrides that can cause entire pages to be skipped. Unstable query ordering without a unique sort key can cause records to shift between paginated calls, leading to missed or duplicated data in nightly syncs. Repeatedly requesting totalResults on every page adds unnecessary database load, and restarting pagination from scratch after a 429 rate-limit error wastes thousands of API calls. Developers can avoid these pitfalls by always sorting on a stable unique key, incrementing offsets using the response's actual limit value, and using the onlyData=true parameter to reduce payload size.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer Shares Step-by-Step Solana Mainnet Launch Checklist From Real Experience

A Solana developer has published a detailed mainnet deployment checklist based on their own recent experience shipping a program from devnet to mainnet. The guide covers critical and often overlooked steps including verifiable builds, rent estimation, IDL publishing, and upgrade authority management. The author warns that several steps are irreversible, such as freezing upgrade authority, and that skipping verifiable builds can silently break on-chain verification. The checklist also stresses end-to-end frontend testing on devnet before any mainnet action, since frontend callers can expose failure modes that test suites miss. Written immediately after a live deployment, the document is aimed at helping other Solana developers avoid costly mistakes during their own launches.

0
ProgrammingDEV Community ·

Fable-Mode Skill File Trains AI Agents to Verify Before Claiming Success

A developer has published a behavioral skill file called 'fable-mode' designed to make AI coding agents like Claude Code and Codex more disciplined and honest in their outputs. The skill file, stored locally and loaded into agent sessions, does not add new capabilities but instead enforces stricter habits around verification, scope, and reporting. Its core rule distinguishes between 'confirmed' results — where the agent actually ran and observed an outcome — and merely 'plausible' ones, requiring agents to report only the confidence level they have genuinely earned. The file also bans specific anti-patterns such as declaring success without a post-change verification run or fixing a bug the agent cannot causally explain. A built-in checklist prompts the agent to self-audit before ending any session, aiming to reduce overconfident summaries and unrequested code changes.

0
ProgrammingDEV Community ·

How to Add Oscillating Platform Movement in Unity Using Lerp and PingPong

Early game development environments often feel static, but Unity provides built-in methods to bring them to life with smooth, repeating motion. A simple MonoBehaviour script can make platforms oscillate by combining Mathf.PingPong and Vector3.Lerp. Mathf.PingPong continuously cycles a value between zero and one each frame, acting as a progress indicator for the movement. Vector3.Lerp then uses that value to interpolate an object's position between a defined start point and end point. Together, these methods create the illusion of fluid, endless back-and-forth movement with minimal code.

0
ProgrammingDEV Community ·

Radar: Open-Source, Self-Hosted AI Media Monitoring Platform Launches for Public Use

A developer has released Radar, a free, open-source media intelligence and social listening platform that users can self-host on their own infrastructure. The tool aggregates news from public RSS and Atom feeds and offers AI-powered features including summaries, sentiment analysis, and keyword monitoring. Unlike enterprise platforms such as Talkwalker or Brandwatch, Radar is designed to be affordable and accessible, targeting developers, journalists, researchers, and startups. It supports multiple AI providers, including Anthropic Claude, OpenAI, and Grok, giving users flexibility rather than locking them into a single service. The project is still under active development, and the creator is seeking community feedback on architecture, deployment, and new features via GitHub.