ProgrammingTricks

 The advertisement domain is a complex and dynamic ecosystem that involves various technologies and platforms working together to deliver ads to users in a targeted and efficient manner. The primary goal is to connect advertisers with their target audience, increasing brand visibility, user engagement, and revenue generation. In this blog, we will delve into the different components of the advertisement ecosystem, key concepts like programmatic advertising and real-time bidding (RTB), and provide a practical example to illustrate how it all works. Key Components of the Advertisement Domain The advertisement domain broadly consists of the following components: Advertisers : These are brands or companies that want to promote their products or services through advertisements. They set up ad campaigns targeting specific user segments. Publishers : These are websites, mobile apps, or digital platforms that display ads to users. Publishers monetize their content by selling ad space to advert

In the world of digital advertising, understanding the different types of ads and how they work is crucial for optimizing your marketing strategies. This blog will delve into the workflows of sponsored ads and normal ads, highlighting their key differences, and providing detailed examples to help you grasp their functionalities. What Are Sponsored Ads? Sponsored ads are paid advertisements that blend seamlessly into the content stream of a platform. They are designed to look and feel like native content, making them less intrusive and more engaging. Sponsored ads are commonly found on social media platforms, search engines, and content recommendation sites. Workflow of Sponsored Ads Ad Creation : Content : Create a compelling ad that matches the platform’s native format. For example, a sponsored post on Instagram might feature a high-quality image or video with a catchy caption and a call-to-action (CTA) like "Shop Now." Targeting : Select your target audience based on demogr

 When working with databases in Java, the choice between Statement and PreparedStatement can significantly impact performance, security, and overall application efficiency. While both are used to execute SQL queries, understanding when and how to use each can help you write more optimized and secure Java code. In this blog, we will dive deep into the differences between Statement and PreparedStatement in Java, why PreparedStatement is often preferred, and what impact it has on performance, especially for static SQL queries. 1. Overview of Statement and PreparedStatement Both Statement and PreparedStatement are interfaces provided by the java.sql package and are used to execute SQL commands in a relational database. However, their usage patterns and underlying mechanisms differ significantly. Statement : A Statement is used to execute simple, static SQL queries. Each time a query is executed using Statement , it is sent to the database, where it is parsed, compiled, optimized,

import java.io.BufferedReader; import java.io.InputStreamReader; import java.net.HttpURLConnection; import java.net.URL; import java.util.*; import java.util.regex.Matcher; import java.util.regex.Pattern; public class TransactionFetcher {     public static List<double[]> getTransaction(int locationId, String txnType) {         int page = 1;         List<double[]> transactions = new ArrayList<>();         while (true) {             try {                 String urlString = "https://jsonmock.hackerrank.com/api/transactions/search?" +                         "txnType=" + txnType + "&page=" + page;                 URL url = new URL(urlString);                 HttpURLConnection connection = (HttpURLConnection) url.openConnection();                 connection.setRequestMethod("GET");                 BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));                 String inputLine;        

  Introduction In this blog post, we explore how to effectively map one-to-many relationships using Spring Boot and PostgreSQL. This relationship type is common in database design, where one entity (e.g., a post) can have multiple related entities (e.g., comments). We'll dive into the implementation details with code snippets and provide insights into best practices. Understanding One-to-Many Relationships A one-to-many relationship signifies that one entity instance can be associated with multiple instances of another entity. In our case: Post Entity : Represents a blog post with fields such as id , title , content , and a collection of comments . Comment Entity : Represents comments on posts, including fields like id , content , and a reference to the post it belongs to. Mapping with Spring Boot and PostgreSQL Let's examine how we define and manage this relationship in our Spring Boot application: Post Entity  @Entity @Getter @Setter @Builder @AllArgsConstructor @NoArgsCons

Deploying a Spring Boot microservice on AWS offers several options, each tailored to different needs and preferences. This guide explores various deployment options, helping you make an informed decision based on your requirements. 1. AWS Elastic Beanstalk Overview : AWS Elastic Beanstalk is a Platform as a Service (PaaS) that simplifies deploying and scaling web applications and services. It automatically handles the deployment, from capacity provisioning to load balancing and monitoring. Pros : Ease of Use : Simplifies deployment with minimal configuration. Integrated Monitoring : Built-in monitoring and logging. Managed Infrastructure : Automatically manages underlying infrastructure. Multi-Environment Support : Easy to manage multiple environments (development, staging, production). Cons : Limited Customization : Less control over the underlying infrastructure compared to EC2. Cost : Potentially higher costs for managed services. Best For : Quick deployment of applications with mi