search
HomeBackend DevelopmentGolangHow does Google Pub/Sub\'s RetryPolicy implement exponential backoff, and how does it differ from other backoff libraries?

How does Google Pub/Sub's RetryPolicy implement exponential backoff, and how does it differ from other backoff libraries?

How Exponential Backoff Works in Google Pub/Sub's RetryPolicy

The RetryPolicy in Google Pub/Sub's cloud.google.com/go/pubsub library offers exponential backoff as a configurable feature to enhance reliability in communication between Pub/Sub and its clients.

Understanding Exponential Backoff

Exponential backoff involves increasing the delay between retries by a factor exponentially. This prevents overwhelming servers with excessive retries and ensures a more gradual reconnection.

MinimumBackoff and MaximumBackoff

In the RetryPolicy configuration, MinimumBackoff is equivalent to the InitialInterval in the github.com/cenkalti/backoff library, and MaximumBackoff corresponds to the MaxInterval.

MinimumBackoff sets the initial wait period before the first retry, while MaximumBackoff represents the maximum delay allowed between retries. By default, MinimumBackoff is 10 seconds and MaximumBackoff is 10 minutes.

Calculating Wait Intervals

Pub/Sub calculates the wait intervals between retries based on the randomized exponential backoff formula:

`

randomized interval =<pre class="brush:php;toolbar:false">RetryInterval * (random value in range [1 - RandomizationFactor, 1 + RandomizationFactor])

`

where RetryInterval is the current retry interval, initially MinimumBackoff, and is subject to the MaximumBackoff limit.

Maximum Retry Attempts

Unlike the github.com/cenkalti/backoff library's MaxElapsedTime feature, the Pub/Sub RetryPolicy does not have an equivalent option to limit retry attempts. Instead, it recommends using Dead Letter Queues (DLQs) for situations where retries should be capped.

Randomization

The Pub/Sub RetryPolicy employs a random component to introduce variance in retry intervals, ensuring that multiple clients with the same configuration do not retry at the exact same intervals.

Observations from Your Experiment

Your experimental observations reflect the exponential backoff behavior. Using a MinimumBackoff of 1s and MaximumBackoff of 2s, you noticed a relatively consistent ~3s delay between nacks, representing the maximum backoff of 2s.

The absence of doubling intervals between retries suggests that there is no explicit multiplier applied. Additionally, you did not observe any hard limit on the number of retries, supporting the recommendation to use DLQs for limiting retry attempts.

The above is the detailed content of How does Google Pub/Sub\'s RetryPolicy implement exponential backoff, and how does it differ from other backoff libraries?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
What are the vulnerabilities of Debian OpenSSLWhat are the vulnerabilities of Debian OpenSSLApr 02, 2025 am 07:30 AM

OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

How do you use the pprof tool to analyze Go performance?How do you use the pprof tool to analyze Go performance?Mar 21, 2025 pm 06:37 PM

The article explains how to use the pprof tool for analyzing Go performance, including enabling profiling, collecting data, and identifying common bottlenecks like CPU and memory issues.Character count: 159

How do you write unit tests in Go?How do you write unit tests in Go?Mar 21, 2025 pm 06:34 PM

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

How do I write mock objects and stubs for testing in Go?How do I write mock objects and stubs for testing in Go?Mar 10, 2025 pm 05:38 PM

This article demonstrates creating mocks and stubs in Go for unit testing. It emphasizes using interfaces, provides examples of mock implementations, and discusses best practices like keeping mocks focused and using assertion libraries. The articl

How can I define custom type constraints for generics in Go?How can I define custom type constraints for generics in Go?Mar 10, 2025 pm 03:20 PM

This article explores Go's custom type constraints for generics. It details how interfaces define minimum type requirements for generic functions, improving type safety and code reusability. The article also discusses limitations and best practices

Explain the purpose of Go's reflect package. When would you use reflection? What are the performance implications?Explain the purpose of Go's reflect package. When would you use reflection? What are the performance implications?Mar 25, 2025 am 11:17 AM

The article discusses Go's reflect package, used for runtime manipulation of code, beneficial for serialization, generic programming, and more. It warns of performance costs like slower execution and higher memory use, advising judicious use and best

How do you use table-driven tests in Go?How do you use table-driven tests in Go?Mar 21, 2025 pm 06:35 PM

The article discusses using table-driven tests in Go, a method that uses a table of test cases to test functions with multiple inputs and outcomes. It highlights benefits like improved readability, reduced duplication, scalability, consistency, and a

How can I use tracing tools to understand the execution flow of my Go applications?How can I use tracing tools to understand the execution flow of my Go applications?Mar 10, 2025 pm 05:36 PM

This article explores using tracing tools to analyze Go application execution flow. It discusses manual and automatic instrumentation techniques, comparing tools like Jaeger, Zipkin, and OpenTelemetry, and highlighting effective data visualization

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment