Select Pattern

The Select pattern in Go is a control flow mechanism that enables a goroutine to wait for multiple channel operations and execute different code depending on which channel becomes ready first. This pattern is commonly employed for implementing timeouts, multiplexing input from various channels into a single channel, or performing non-blocking operations on channels. It serves as a crucial tool for managing concurrent tasks in Go and is fundamental to many concurrency designs.

For a deeper understanding, you can watch this video:

For-Select-Done Pattern

The For-Select-Done pattern is a prevalent idiom in Go that merges the for loop with the select statement, allowing for continuous monitoring of events until a "done" signal is received. This approach is particularly useful for managing asynchronous tasks in a non-blocking way.

Future Pattern

The Future pattern in Golang involves initiating a goroutine to compute a value that will be required later, immediately returning a channel where the computed value will be sent once it's ready. This method allows computations to occur concurrently with other tasks, avoiding the need to block the current goroutine.

For additional insights, check out this video:

Barrier Pattern

The Barrier pattern acts as a synchronization mechanism that allows goroutines to wait for one another. It is often applied in parallel algorithms that divide a problem into independent sub-problems that can be solved concurrently. Once a goroutine completes its assigned task, it reaches the barrier and waits until all goroutines have reached the same point, at which point they can all proceed together.

Pipeline Pattern

The Pipeline pattern in Go is a powerful technique for constructing a series of processing elements in which the output of one element serves as the input to the next. This is frequently used in data processing tasks to segment an operation on a data sequence into individual stages that can run concurrently. Each stage consists of one or more goroutines that communicate via channels, enhancing efficiency and performance in applications involving a series of concurrent operations.

Worker Pool Pattern

The Worker Pool pattern involves a group of goroutines (workers) that listen to a single task channel. This structure is advantageous for regulating the number of concurrently executing goroutines and maintaining control over the concurrency level, especially in scenarios with numerous tasks needing processing.

Semaphore Pattern

The Semaphore pattern is a synchronization primitive in concurrent programming that manages access to shared resources. Although Go lacks a built-in semaphore type, it offers an implementation using channels, which are integral to Go's concurrency framework.

Producer-Consumer Pattern

The Producer-Consumer pattern is a classic concurrency structure where one or more goroutines (producers) generate data, while one or more goroutines (consumers) utilize that data. In Go, this is typically realized through goroutines for both producers and consumers, with channels facilitating data transfer between them, enabling a decoupling of data production from consumption.

Fan-Out Fan-In Pattern

The fan-out pattern initiates multiple goroutines to concurrently handle input from a single channel, enhancing throughput and allowing for distributed computation. Conversely, the fan-in pattern merges multiple results into a single channel, which is useful for aggregating outputs from several goroutines performing similar tasks.

Rate Limit Pattern

The Rate Limit pattern is a technique for controlling the frequency of actions, such as requests to a server or method calls. In Go, this can be implemented using a ticker and a buffered channel, where each tick signifies a “permit” to act.

Circuit Breaker Pattern

The Circuit Breaker pattern is a design approach used in modern software to identify failures and encapsulate logic that prevents a failure from recurring. This is beneficial during maintenance, temporary external failures, or unexpected difficulties, allowing the application to avoid operations likely to fail.

Publish-Subscribe Pattern

The Publish-Subscribe pattern is a messaging architecture where message senders (publishers) do not send messages directly to specific receivers (subscribers). Instead, published messages are categorized into structures, and subscribers express interest in these structures, receiving only relevant messages.