Table of Contents
Concurrent Read and Write of Go Structs Without Locks
Issue Summary
Understanding Data Races
Why Does concurrentStruct() Have a Data Race?
Comparison with concurrentStructWithMuLock()
The Issue with concurrentMap()
Home Backend Development Golang How Can Concurrent Read and Write Operations on Go Structs Be Safely Implemented?

How Can Concurrent Read and Write Operations on Go Structs Be Safely Implemented?

Dec 17, 2024 pm 05:12 PM

How Can Concurrent Read and Write Operations on Go Structs Be Safely Implemented?

Concurrent Read and Write of Go Structs Without Locks

Issue Summary

In the provided code, two functions are introduced: concurrentStruct() and concurrentStructWithMuLock(). Both functions concurrently read and write a struct, but the former does so without locks and generates race warnings. Conversely, the latter uses a read-write mutex to synchronize access, resulting in no race warnings.

Understanding Data Races

As the error messages indicate, a data race occurs when:

  • Multiple goroutines access a shared variable concurrently
  • At least one of the goroutines modifies the variable's value

In concurrentStruct(), this situation arises because the key field of the Metadata struct is accessed and modified by multiple goroutines without any synchronization.

Why Does concurrentStruct() Have a Data Race?

While concurrentStruct() does not use locks, the use of anonymous goroutines running indefinitely leads to potential race conditions. These goroutines continuously read, modify, and write the key field without considering the actions of other goroutines.

Comparison with concurrentStructWithMuLock()

In contrast to concurrentStruct(), concurrentStructWithMuLock() employs a read-write mutex to synchronize access to the key field. This ensures mutual exclusion, preventing multiple goroutines from simultaneously modifying the field. As a result, no race conditions occur, and the function runs without warnings.

The Issue with concurrentMap()

The concurrentMap() function demonstrates a different type of race condition involving a Go map. While maps are thread-safe in Go, concurrent access to the map for both reads and writes without proper synchronization can lead to fatal errors. Go's runtime includes a lightweight data race detector, which crashes the program when it detects such unsynchronized access to maps as a safeguard against undefined behavior.

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