Question

What are the different cluster managers available in Apache Spark?

Answer 1

There are mainly four types of cluster managers available in Apache Spark:

• Standalone Mode: The Apache Spark Standalone Mode cluster is a by default cluster where submitted applications will run in FIFO order. Each application will try to use all available nodes. You can launch a standalone cluster manually by starting a master and workers by hand or using our provided launch scripts. It is also possible to run these daemons on a single machine for testing.
• Apache Mesos: Apache Mesos is an open-source project to manage computer clusters and run Hadoop applications. The advantages of deploying Spark with Mesos include dynamic partitioning between Spark and other frameworks and scalable partitioning between multiple instances of Spark.
• Hadoop YARN: Apache YARN is the cluster resource manager of Hadoop 2. We can run Spark on YARN as well.
• Kubernetes: Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.