


Can Chained Channel Operations in Go\'s `select` Case Lead to Data Loss?
Chained Channel Operations in a Single select Case and its Impact on Data Loss
In Go, the select statement provides a convenient mechanism for multiplexing multiple channel operations. This capability enables the concurrent processing of events from various sources. However, certain chained channel operations can lead to unintended consequences when used within a select case.
Let's consider a scenario where we have two channels, A and B, each sending messages with different delays. We use a fan-in channel to collect messages from both channels and send them to the main function for printing. Here's the simplified code snippet:
func fanIn(input1, input2 <-chan string) <-chan string { ch := make(chan string) go func () { for { select { case t := <-input1: ch <- t case t := <-input2: ch <- t } } }() return ch }
This code correctly multiplexes the messages from both channels. However, if we modify the select case to use chained channel operations as follows:
select { case ch <- <-input1: case ch <- <-input2: }
We encounter a perplexing issue. While the first few messages are received correctly, subsequent messages are dropped, and the program eventually deadlocks.
This behavior arises because only one channel operation within a select case is non-blocking. In our modified code, both channel operations are non-blocking, resulting in the dropped messages.
To understand the mechanics behind this unexpected behavior, let's examine the sequence of events that occur:
- The for loop in the fan-in goroutine initiates a non-blocking read operation (Send) on input1.
- If the main function loop has not yet consumed the value from the combined channel (ch), it is possible for the input1 channel to block while waiting to write to ch.
- This blocking operation prevents the for loop from evaluating the second select case (the one involving input2).
- If the main function loop eventually consumes the value from ch, the for loop will be able to progress to the next iteration and evaluate the second select case.
- However, by this time, the value sent by input2 in the previous iteration might have been lost, as the main function loop had not yet consumed it.
This repeated loss of messages eventually leads to a deadlock situation where no messages are left on either channel, and the main function is waiting to read from the combined channel indefinitely.
Therefore, when using chained channel operations in a single select case, it is crucial to ensure that only one channel operation is non-blocking. This prevents the blocking of other channel operations and the subsequent loss of messages.
The above is the detailed content of Can Chained Channel Operations in Go\'s `select` Case Lead to Data Loss?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



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.

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

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

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...

The article discusses managing Go module dependencies via go.mod, covering specification, updates, and conflict resolution. It emphasizes best practices like semantic versioning and regular updates.

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg
