UI Components of JSF Application

UI Components of JSF Application


Comments

Post a Comment

Popular posts from this blog

Log4j2 Setup

Log4j2 Setup Pre-Requisite 1.       Maven Or Jar of Log4J2 a.       http://apachemirror.wuchna.com/logging/log4j/2.12.1/apache-log4j-2.12.1-bin.zip (download jar from her)    log4j-api-2.11.2.jar,   log4j-core-2.11.2.jar b.       Maven Dependencies:     < dependency >               < groupId > org.apache.logging.log4j </ groupId >               < artifactId > log4j-api </ artifactId >               < version > 2.13.3 </ version >        </ dependency >        < dependency >               < group...
Read more

JunitTest

import org.junit.jupiter.api.BeforeEach; import org.junit.jupiter.api.Test; import org.mockito.Mockito; import org.springframework.batch.core.Step; import org.springframework.batch.core.job.builder.StepBuilder; import org.springframework.batch.core.repository.JobRepository; import org.springframework.batch.core.step.builder.StepBuilderHelper; import org.springframework.batch.repeat.RepeatStatus; import org.springframework.transaction.PlatformTransactionManager; import static org.junit.jupiter.api.Assertions.*; import static org.mockito.Mockito.*; public class MyJobConfigurationTest {     private MyJobConfiguration myJobConfiguration;     private FileBackUpTasklet fileBackUpTasklet;     private JobCompletionListener jobCompletionListener;     private JobRepository jobRepository;     private PlatformTransactionManager transactionManager;     @BeforeEach     public void setUp() {         fileBackUpTas...
Read more

My Challanging Work

Image
  Challenging work i have done in my previous project ✅ 1️⃣ One-minute interview explanation (you can speak this) “We were reading millions of records from one system and inserting them into another database. Initially, we faced performance issues and OutOfMemoryError because the entire data was loaded into memory. To solve this, I implemented batch processing with multithreading. I processed records in chunks of 1000, performed transformation, inserted them into the database, cleared memory, and then processed the next batch. This made the system memory-efficient and scalable public void processLargeData(List<String> records) {         for (int i = 0; i < records.size(); i += BATCH_SIZE) {             int end = Math.min(i + BATCH_SIZE, records.size());             List<String> batch = records.subList(i, end);...
Read more