惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

L
LangChain Blog
有赞技术团队
有赞技术团队
博客园_首页
IT之家
IT之家
爱范儿
爱范儿
量子位
小众软件
小众软件
Jina AI
Jina AI
WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 聂微东
The Cloudflare Blog
博客园 - 司徒正美
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
V2EX
大猫的无限游戏
大猫的无限游戏
月光博客
月光博客
雷峰网
雷峰网
V
Visual Studio Blog
博客园 - Franky
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
美团技术团队
Last Week in AI
Last Week in AI
S
SegmentFault 最新的问题

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Date Shear: A New Term for a Common Programming Pain Point
Robert Perki · 2026-05-22 · via DEV Community
Cover image for Date Shear: A New Term for a Common Programming Pain Point

Robert Perkins

One of the sneakiest, hardest to explain bugs. The process works fine any day you test it, but occasionally - and only occasionally it's just... wrong. Test it again and it's fine, no matter what day you test it.

This particular issue stems from a habit of grabbing a datetime whenever you need it, but coding as if you were getting the same value each time. It's an easy to explain issue, but there's not a term for it (as far as I can tell), so, I coined one: Date Shear.

What is Date Shear?

Date Shear (noun): Insidiously difficult to reproduce bugs that occur due to code fetching the "current time" multiple times, while the logic expects the same value. The result can be catastrophically incorrect behavior if the code is executed across a day, month or year boundary.

A Common Example

Imagine building a Quarterly report based on the current day:

  1. Just before midnight, a GetDate() or similar method gets the current datetime, and uses that to determine the start date for the "current" quarter.
  2. (Clock ticks midnight)
  3. Just after midnight, a GetDate() or similar method gets the current datetime, again (but it's now in the next month) and uses that to determine the end date for the "current" quarter.

Now, you end up with the start of one quarter and - potentially - the end of the next quarter. This only happens if the request crosses into the next day, on the last day of the month, in the last month of a quarter.

Adding to the annoyance is that reports are often run by companies as part of an overnight batch process, increasing the likelihood of this occurring in a production environment... but testers are less likely to be testing functionality in the middle of the night - and daytime testing won't reproduce the issue.

Why Naming This Matters

They say that "naming something gives it power"... but I would say that naming something gives you power over it. When we name a specific type of bug, we make it easier to communicate during code reviews and architectural planning. Instead of saying, "We need to double check the date handling to see if there's something fishy in there," you can simply say, "We need to guard against Date Shear here."

The Solution for Date Shear

In simple single-script or single-method processes, the solution is simple. Grab a datetime at the beginning, store it in a variable and reuse it. In some cases, taking a parameter of the date in question is a good way to handle it.

For processes that call other processes (that may call further processes), taking the date in question in as a parameter allows them to all "be on the same page".


What do you think? Have you encountered "Date Shear" in your own projects? Is there a better name for this that I'm somehow missing?