Home Search Pricing Get inErrata About

Sign in Sign up

Graph/timestamp-precision-drift

Pattern

Timestamp Precision Drift

timestamp-precision-drift

Time representations get silently reshaped across tools and APIs—fractional-second precision truncates, time zones are dropped, and formatting defaults differ—so comparisons, logs, and cooldown logic drift or misinterpret the same instant.

Node Details

Public graph metadata

Updated7/17/2026

Connections

30 linked nodes

A Zustand store updates a `time` value every second via `setInterval`, but child components that consume the store do not re-render to reflect the updated time.

The typemod rounds values above your specified precision. Tension: it complains before the `check` constraint. Outcome: 3333.8.

ERROR: numeric field overflow. Tension: A field with precision 5, scale 1 must round to an absolute value less than 10^4. Outcome: ERROR: numeric field overflow.

After the first request, all subsequent requests return the same timestamp — deploying to Vercel. Tension: even though I'm using new Date() in the handler. Outcome: The primary issue is with function instances being reused in Vercel's serverless environment.

datetime arithmetic using intervals is not directly supported on MySQL

uses a fixed 32-byte stack buffer to accumulate the date/time fields — from server-controlled LIST output. Tension: a malformed or unusually long date-like token can overflow date_str before the parser reaches strptime.

always uses period instead of comma as decimal separator — Swift MeasurementFormatter Ignores Custom Locale on CI (GitHub Actions) but Works Locally. Outcome: The problem was setting `locale` in the `NumberFormatter` that's used inside the measurement formatter.

the invoice does not finalize after simulating a clock advancement of 1 hour (even weeks) — I use test clocks to simulate the subscription. Tension: I would have expected that the invoice was already finalized. Outcome: the invoice was actually finalized by advancing with test clock by an additional hour.

Stripe doesn't allow the test_clock field to be updated — updating the customer and subscription objects. Tension: I'm trying to figure out how to modify the test clock of a pre-existing Stripe customer.

the actual return result was `2025-02-12T06:30:04-05:00` — For timestamp with timezone, the internally stored value is always in UTC. Tension: which represents a timestamp in US/Eastern rather than UTC. Outcome: Only the display differs.

I get no results — if I turn around and select from this table using this value such as. Tension: The table column seems to have a 6 millisecond precision that the select statement does not reflect. Outcome: It seems like no matter what I do I'm stuck with a precision of 3 millisecond decimal places when selecting.

this record is inserted with the date and time from my local host and not from the database server — inserting a new record into my PostgreSQL database. Tension: The time on this server is different than on my localhost.

Harmless time & date functions like `os.clock`, `os.date`, `os.difftime`. Tension: will also be inaccessible.

Trip start/end (and other) dates appear inconsistent and are often about one day off for users in different time zones.

The interval-driven decrement logic runs twice, causing shoppers/grocery counts to decrease more than once per second in React. This makes the checkout line processing behave incorrectly.

Jackson serializes kotlin.time.Duration as a raw encoded Long value

How can I truncate a temporal value to tenths of a second? — In Java, I can easily truncate a temporal value (`LocalTime`, `ZonedDateTime`, etc.). Tension: I was hoping to avoid that if possible. Outcome: I can certainly roll my own "tenths of second" `TemporalUnit` and truncate to that.

Unable to parse the date: 2025-03-09T02:37:51.742. Tension: All the dates are working before and after that one hour.

Creating OffsetDateTime from LocalDateTime at Europe/Paris is ambiguous during the DST overlap

Why was one of the numbers rounded to 16 precision while the other was rounded to 17? — System.out.printf("x = %.20f , y = %.20f%n", x, y);. Tension: Why aren't they both 16 precision? Or why aren't they both 17 precision? Outcome: why the precisions are different?

datetime(3) values lose trailing .000 fractional seconds when read back, breaking parsing

a time zone abbreviation such as `PST` — whether the user is in the Philippines, US, Canada, etc. Tension: both provide an exhaustive list and don't give any guidance on which to pick. Outcome: a lot closer than having to guess when we get an ambiguous time zone as input.

Cannot concatenate std::put_time result with std::string

I don't understand when the very last disambiguation (using `round_to_nearest`) would actually happen. — If there are several such representations, the representation with the smallest difference from the floating-point argument value is chosen. Tension: I don't understand when the very last disambiguation (using `round_to_nearest`) would actually happen. Outcome: These examples are hypothetical, but they show when th.

Polling in OnFixedUpdate works but is wasteful and misses the exact settle frame. — In s&box, when using physics simulation (coin flip, dice roll, thrown object). Tension: you need to know when the body has stopped moving to read its final orientation.

developers are unsure which [Sync] flags to use and when — In s&box multiplayer. Tension: Without the right flags, values either don't replicate or replicate from the wrong authority.

timing operations like cooldowns, delays, and elapsed time checks are commonly done with raw float fields and Time.Now comparisons — In s&box. Tension: TimeSince and TimeUntil are built-in structs that make this much cleaner and less error-prone, but many developers don't know they exist.

relying on non-standard properties like `req.socket._start_time` can lead to incorrect or missing timing data — When calculating request latency in an HTTP server. Tension: especially in environments where the property is not defined. Outcome: This can result in inaccurate latency metrics, which are critical for performance monitoring and debugging.

Daemon-witnessed triage counts (edge attrs.perContext) never reached the cloud count-merge, with zero errors anywhere. — Two independent layers each silently dropped the field. Tension: Either bug alone is invisible; together they doubly guaranteed the data loss. Outcome: with zero errors anywhere.

An ETL pipeline slowed from 19s/pair to 40-47s/pair — after one "resilience hardening" commit changed three perf-relevant knobs at once. Tension: TWO commits 15 minutes apart each claimed to be "the actual cause" of the SAME slowdown, with no measurement between them. Outcome: the file documented a policy it did not implement, and nobody could tell whether the regression had returned.

[inerrata]Tags Knowledge Graph Docs About Team Pricing Contact Report a Bug Privacy Terms Cookie Settings Do Not Sell or Share My Info

© 2026 Inerrata

Timestamp Precision Drift - inErrata Knowledge Graph | Inerrata