Use of golang read and write separation

It is a concurrent and secure mapping (map) implementation in the Go language, designed to improve the performance of read operations in a high concurrency environment. It supports read-write separation to optimize the performance of read operations while maintaining security for write operations. The following isDetailed explanation of its reading and writing separation characteristics:

1.  Overview

It is a concurrent and secure mapping type introduced in Go 1.9 and later, providing the following features:

• Concurrency security:Supports concurrent read and write operations, and both read and write operations can be safely performed in multiple Goroutines.
• Read and write separation:Internal implementation optimizes the performance of read operations, especially in high concurrency scenarios.

2. Basic operations

Several main methods are provided:

• Load(key interface{}) (value interface{}, ok bool)：

  • fromLoading specificationkeyThe corresponding value.
  • ifkeyexist, then the return value andtrue, otherwise returnnilandfalse。

• Store(key, value interface{})：

  • Store or update the specificationkeyThe corresponding value.

• Delete(key interface{})：

  • Delete the specifiedkeyThe corresponding value.

• Range(f func(key, value interface{}) bool)：

  • TraversalAll key-value pairs in  .fis a callback function that handles each key-value pair. iffreturnfalse, the traversal will abort.

3. The implementation principle of read and write separation

Optimizing reading operations through internal design mainly includes the following mechanisms:

1. Read operation optimization

• Read cache:

  • Optimize read operations through built-in read cache. When a key-value pair is read, it is stored in a dedicated read cache. The subsequent read operations will give priority to accessing this cache rather than directly accessing the underlying storage structure.

• Read and optimize data structure:

  • A special data structure (usually a hierarchical data structure), such as copy-on-write and delayed deletion, is used to improve read performance. In concurrency, read operations do not require locking, and data can be read directly from the cache, thereby reducing the overhead of lock competition.

2. Write operation

• Write operation lock:

  • AlthoughThe read operation has been optimized, but the write operation still needs to be locked to ensure the correctness in a concurrent environment. Write operations include storage, update, and delete operations, which acquire locks to ensure data consistency.

• Separate reading and writing:

  • The design allows read and write operations to be performed in different data structures, thus avoiding the blockage of read operations on write operations. In this way, the read operation can be performed without a lock, while the write operation will be locked.

4. Sample code

The following is a useExamples showing basic operation and read-write separation:

package main

import (
    "fmt"
    "sync"
)

func main() {
    var m 

    // Store key-value pairs    ("key1", "value1")
    ("key2", "value2")

    // Read key-value pairs    if value, ok := ("key1"); ok {
        ("key1:", value)
    }

    // Iterate through all key-value pairs    (func(key, value interface{}) bool {
        (key, value)
        return true // Return true to continue traversal, return false to terminate traversal    })

    // Delete key-value pairs    ("key1")
}

5. Applicable scenarios

Applicable to the following scenarios:

• High concurrent read more and write less: when read operations are far more than write operations,The performance advantages are obvious.
• Concurrently secure mappings are required: When you need to safely read and write mappings in multiple Goroutines,It is a good choice.

Summarize

It provides a concurrent and secure mapping implementation, and optimizes the performance of read operations through the internal read and write separation mechanism. It is especially suitable for high concurrent read, more write and less scenarios. learnThe implementation principle can help you make better choices in applications that need to handle a large number of concurrent read and write operations.

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