Concurrency

Concurrency is a fundamental concept in computer programming that allows multiple tasks to run simultaneously, improving the overall efficiency and performance of a program. In Python, there are two primary approaches to achieve concurrency: multithreading and multiprocessing. …

Threading, Multiprocessing and Asyncio — In a concurrent database environment, multiple transactions or queries can be executed concurrently, enabling parallel processing and potentially reducing the overall execution time. However, concurrency introduces challenges such as ensuring data consistency, avoiding conflicts, and managing concurrent access to shared resources. In this post, we will focus on performing concurrent…

Essential Parts of Threading in Python — A thread is a lightweight unit of execution that exists within a process and shares the same memory space. By using multiple threads, you can perform multiple tasks concurrently, which can lead to improved performance and responsiveness in certain scenarios. Python provides a built-in threading module. Threads are managed by…

A Deep Dive into Concurrency: Golang vs Java — Unraveling Performance Differences in File Consumption — Hello everyone, I recently had the opportunity to work on a performance issue while processing a file using Golang and Java. In the middle of these tasks raised a question in my mind that was “If we implement it in the best currency practice and provide a similar environment who…

Introduction As the Rust programming language grows in popularity and adoption, one question that often arises is: how can existing C/C++ libraries be ported to Rust? This blog post aims to provide a general overview and some practical tips on this topic. Rust, being a systems programming language that emphasizes memory…

What is Tokio? Tokio is a runtime for asynchronous programming in Rust, built around the abstraction of the future. It leverages the power of Rust’s ownership and concurrency model to process multiple tasks concurrently without the overhead of threading. It offers a range of utilities for writing asynchronous code, including an I/O driver…

Kotlin Coroutines have become a powerful tool for writing asynchronous and concurrent code. Choosing the correct coroutine dispatcher is essential for achieving optimal performance and responsiveness when working with coroutines. In this article, we will explore the differences between two commonly used coroutine dispatchers: Default and IO. …

Usually, when developing an application, we will have to create concurrent lines of code to retrieve data from different resources. That’s a prevailing situation while developing for Android, primarily because the user interface runs in a single main thread with a FIFO (first in, first out) stack, which means operations…

To create a parallel consumer for Apache Kafka in a Java Spring Boot application, you can utilize the Spring Kafka library and leverage the ConcurrentKafkaListenerContainerFactory provided by Spring Kafka. Here's an example: Add Dependencies: Start by adding the necessary dependencies to your pom.xml file. <dependencies> <!-- Other…