
Why double Loses Precision and How to Avoid It in Java
When using floating -point numbers in Java, you may notice that Double sometimes produces accidents or inaccurate results. This behavior may cause errors, especially in financial applications or high -precision scenarios. In this article, we will explore the fundamental reasons in depth, explain how to avoid it, provide a feasible example, and discuss whether the updated Java version provides a better alternative. Why does DOUBLE lose accuracy? 1. IEEE 754 floating point number standard Double data types in Java follow the IEEE 754 floating -point number calculation standard. It uses the following method to represent the number in a binary format: 1 bit for symbols, 11 digits for index, 52 -bit use
Jan 27, 2025 pm 06:09 PM
Introduction to Hibernate : Simplifying Database Interaction in Java
Developers frequently manage data—storing, retrieving, updating, and deleting it. This often involves database interaction, typically using either NoSQL (like MongoDB) or SQL databases (MySQL, PostgreSQL, Oracle, etc.). Working with SQL databases ne
Jan 27, 2025 pm 06:04 PM
Kotlin for Java Developers (Part 1)
Java occupies a dominant position in the programming language, so I have seen that Java developers have made the same mistake when using Kotlin. Don't get me wrong. This is not to say that these are bugs, but when developers are accustomed to developing in Java, tend to produce "code odors" in Kotlin, and do not use Kotlin's function. This article will let you understand the code odor I often see and how to achieve them ideal in the "Kotlin method". The first part of this series will cover: Data class Use air safety Under default, unsatisfactory situation Data class This theme may soon disappear, because more and more Java developers also have experience in using records. despite this
Jan 27, 2025 pm 04:04 PM
Minimizing Variable Scope in Java: Best Practices for Secure and Efficient Code
This article underscores the critical role of minimizing variable scope in Java for cleaner, more maintainable, and secure code. It leverages Java's object-oriented nature, contrasting it with procedural approaches found in languages like C , and i
Jan 27, 2025 pm 12:07 PM
Local Development, Remote Data: Accessing Fly.io PostgreSQL from Your Java API
Connecting Remote PostgreSQL Databases to Your Local Java Application: A Practical Guide Accessing data from external databases during local development is a common challenge. This article details a solution using PostgreSQL Foreign Data Wrapper (FD
Jan 27, 2025 am 06:08 AM
Difference Between Clojure, Kotlin and Scala
JVM language comparison: Clojure, Kotlin and Scala The JVM ecosystem has multiple powerful programming languages, each with unique features and programming paradigms. Clojure, Kotlin, and Scala are three popular choices in JVM environments. This article will focus on comparing the differences in JVM and JDK integration between these three languages. Clojure Clojure is a dynamic functional programming language inspired by Lisp. It emphasizes immutability, concurrency and simplicity. JVM: Generate bytecode that can be run on the JVM. Can call Java classes and methods, making it ideal for integrating Java libraries, but not well integrated with Java frameworks,
Jan 27, 2025 am 06:05 AM
Advanced Spring Boot Concepts Every Java Developer Should?Know
Spring Boot excels at simplifying Spring application development. However, true mastery lies in understanding its advanced features. This guide highlights key advanced Spring Boot concepts crucial for building robust, scalable, and maintainable app
Jan 27, 2025 am 02:07 AM
Methods for Combining INSERT and UPDATE in PostgreSQL for Efficient Data Management
Efficient PostgreSQL data management: clever combination of Insert and Update operation When using relational databases such as postgreSQL, it is often necessary to perform new records or update existing records based on whether the record exists. This demand is very common in the scenario of data synchronization, import operation, or frequent data updates. Without the correct use of UPSERT technology, data redundancy, integrity problem or application code logic may be complicated. 1. UPSERT understanding "UPSERT" is a combination of "Update" and "INSERT". It describes a database operation: if the record does not exist, new lines are inserted, and the existing row is updated if the record exists.
Jan 27, 2025 am 12:09 AM
thenReturn() method in Mockito example
Scenario: Mocking a Service to Test a Controller Application Code Employee.java package com.example.demo.model; public class Employee { private String id; private String name; // Constructors, Getters, and Setters public Employ
Jan 27, 2025 am 12:07 AM
Mastering Java Stream API: dvanced Techniques for Efficient Data Processing
Explore my Amazon books and follow me on Medium for more insights! Your support is greatly appreciated. Java's Stream API has revolutionized data processing. This article explores six advanced techniques to boost efficiency and code clarity. Parall
Jan 26, 2025 pm 08:13 PM
Kafka Consumer – Committing consumer group offset
Understanding Kafka Consumer Group Offsets: A Comprehensive Guide This guide explores Kafka consumer group offsets, crucial for tracking message consumption progress. Each consumer group maintains an offset for each partition it consumes, indicating
Jan 26, 2025 pm 08:11 PM
owerful Java Annotation Processing Techniques for Efficient Code Development
Explore my Amazon books and follow me on Medium for more insights! Your support is greatly appreciated! Leveraging Java's annotation processing capabilities significantly boosts compile-time functionality, allowing for dynamic code generation, robus
Jan 26, 2025 pm 08:04 PM
Hybrid Cache Strategy in Spring Boot: A Guide to Redisson and Caffeine Integration
Hybrid cache in Spring Boot application In modern application development, performance and scalability are the key factor that determines the success or failure of the system. By reducing database loads, reducing delays, and ensuring seamless user experience, it plays a key role in improving these aspects. However, no single cache solution can perfectly adapt to all scenes. Local cache (such as Caffeine) can provide extremely fast speed because it runs in memory and close to the application. They are very suitable for reducing the response time of frequent access to data. On the other hand, a distributed cache (such as using Redisson) provides scalability and consistency between multiple instances of the application. Distributed
Jan 26, 2025 am 04:04 AM
write a skiplist by java
import java.util.ArrayList; public class SkipList { // Node of the SkipList public static class SkipListNode { public K key; public V value; public ArrayList
Jan 26, 2025 am 02:05 AM
Hot tools Tags

Undress AI Tool
Undress images for free

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

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

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

vc9-vc14 (32+64 bit) runtime library collection (link below)
Download the collection of runtime libraries required for phpStudy installation

VC9 32-bit
VC9 32-bit phpstudy integrated installation environment runtime library

PHP programmer toolbox full version
Programmer Toolbox v1.0 PHP Integrated Environment

VC11 32-bit
VC11 32-bit phpstudy integrated installation environment runtime library

SublimeText3 Chinese version
Chinese version, very easy to use
