Reading Time: 4 minutes The Executor Framework contains a bunch of components that are use to efficiently manage worker threads. The Executor API de-couples the execution of the task from the actual task to execute via Executors. This design is one of the implementations of the Producer-Consumer pattern Executors provide factory methods that is use to create ThreadPools of worker threads. To use the Executor Framework we need to Continue Reading
Reading Time: 2 minutes A blog about have to use executor with completable future
Reading Time: 4 minutes This blog pertains to Apache SPARK, where we will understand how Spark’s Driver and Executors communicate with each other to process a given job. So let’s get started. First, let’s see what Apache Spark is. The official definition of Apache Spark says that “Apache Spark™ is a unified analytics engine for large-scale data processing.” It is an in-memory computation processing engine where the data is Continue Reading
Reading Time: 3 minutes You have come here that means you know about Threads and concurrency. If you have doubts regarding this then you can read the blog on concurrency. As Thread and Runnable have been there for long as the very first generation of concurrent execution approaches in Scala. Creating a new Thread takes less computational time compared to creating a new JVM process. we cannot afford to Continue Reading
Reading Time: 3 minutes Working with the Thread class in Java can be very tedious and error-prone. Due to this reason, Concurrency API was introduced back in 2004 with the release of Java 5 and then enhanced with every new Java release.The API is located in package java.util.concurrent. It contains a set of classes that make it easier to develop concurrent (multithreaded) applications in Java. The executor services are one of the most Continue Reading
