Techlogbooks

  Batch Apex is designed for handling large-scale operations that involve processing thousands or even millions of records—tasks that would normally exceed Salesforce’s standard execution limits. By dividing data into smaller sets, or batches , this approach allows processing to occur asynchronously, helping you stay within platform limits. If your use case involves actions like data cleanup, mass updates, or archiving, Batch Apex is often the most efficient choice. When writing tests for Batch Apex, only a single execution of the execute method can be directly tested. To manage system resources effectively and avoid governor limit issues, you can specify the scope parameter in the executeBatch method, which controls how many records are processed at a time. The executeBatch call runs asynchronously, meaning the process continues in the background after it starts. Therefore, during testing, it’s essential to ensure that the batch process completes before verifying the results....

Imagine this: your sales rep calls a promising lead, only to find out another teammate called the same person yesterday. Meanwhile, your marketing team accidentally sends two identical emails to the same contact, and customer support can’t see a full history because information is scattered across multiple records. The culprit? Duplicate records in Salesforce. They may seem harmless at first, but duplicates quietly drain time, distort reports, frustrate customers, and create unnecessary chaos. The good news is that Salesforce offers several tools—and a few extra tricks—to stop duplicates before they become a bigger headache. Let’s break it down. The Hidden Cost of Duplicate Data When Salesforce data isn’t clean, here’s what happens: Fragmented Customer View – Agents miss key emails, calls, or cases because details are spread across multiple records. False Insights – Reports look inflated, with duplicated opportunities or campaign responses. Wasted Resources – Market...

  Problem Overview A commonly encountered error while attempting to obtain an OAuth token from Salesforce using the authorization code flow. After receiving an authorization code: https://login.salesforce.com/services/oauth2/token Including the following parameters: code grant_type = “authorization_code” redirect_uri client_id client_secret However, Salesforce responded with: {"error":"invalid_grant","error_description":"authentication failure"} HTTP status code 400 accompanied the error—indicating that despite all parameters being provided, the token exchange failed unexpectedly. Step-by-Step to Fix Authentication The comprehensive approach to resolve this issue: Create a Salesforce Developer Account Begin with a free developer account from developer.salesforce.com. Set Up a Connected App From the Setup menu, navigate to Create → Apps → Connected Apps → New . Fill out required fields—including OAuth settings and callb...

  In the competitive world of Salesforce development, being well-versed in integration topics is a clear differentiator—especially in interviews. Whether you're a fresh developer or a seasoned pro, understanding how Salesforce connects to external systems, orchestrates data flow, and ensures secure, robust performance is foundational. This overview distills the top integration areas that interviewers often explore, equipping candidates with both depth and clarity to articulate strong, confident responses. 1. Understanding Salesforce Integration Patterns Interviewers often start with core design patterns that guide Salesforce integrations. Expect to discuss concepts such as: Request-and-Reply , where outbound requests from Salesforce lead to instantaneous responses. Fire-and-Forget , where Salesforce sends notifications externally without awaiting a response. Batch Data Synchronization , helpful for handling large data loads efficiently. Publish-Subscribe (via Platform E...

In today’s fast-paced digital landscape, building applications that are fast, reliable, and easy to maintain is no longer optional—it’s essential. Developers working with modern web components face the dual challenge of delivering seamless user experiences while keeping codebases clean and scalable. This session brings together practical insights from seasoned engineers who share proven strategies to optimize performance, streamline debugging, and write maintainable code. The result is a clear roadmap for developers looking to elevate their craft and build applications that stand the test of time. Elevating Performance in Web Components At the core of any responsive application lies efficient performance. The presenters emphasize streamlining rendering logic and optimizing data access strategies to reduce unnecessary re-renders or lag. Key recommendations include: Avoiding costly reactivity bottlenecks by structuring data flow thoughtfully Implementing selective rendering to m...

 To increase the code coverage and understanding why certain lines of code remain uncovered during unit tests, here are the highlights scenarios where specific code paths, such as those within loops, conditionals, exception handlers, or batch processes, are not executed during tests, leading to incomplete coverage. Key Insights and Best Practices Understanding Code Coverage Calculation : Code coverage measures the percentage of executable lines of code executed during tests. Only executable lines are counted; comments, blank lines, and certain statements like  System.debug()  are excluded. ​ Writing Effective Unit Tests : Focus on testing the logic and behavior of the code by designing input data that ensures all code paths are executed. Use assertions to verify that the code behaves as expected. ​ Common Scenarios Affecting Coverage : Control Structures :  Ensure that both branches of  if / else  statements are tested by providing different inputs. Loops :...

 Overview of EIM Merge Processing: The EIM (Enterprise Integration Manager) merge process is essential in data management. It's like an orchestra conductor, using a combination of information from EIM table rows and settings in a configuration file to orchestrate data merging in tables. When discussing merging, we mean deleting specific rows from a base table and ensuring that other rows intersecting with the deleted ones are updated to point to the remaining rows. It's a bit like tidying up a messy room. The data from the record we choose as the "survivor" is preserved, while data from the other records gets thrown out. Suppose there are other related records linked to the ones we're merging. In that case, those records (except for the duplicates) become associated with the survivor. Think of it as combining two address books; the entries from one get added to the other. However, when dealing with child records (like Contacts) of the deleted rows, things can get ...