What are the steps to start a Spark cluster?

1 year ago
Sophia Anderson
1 minute

以下是启动 Spark 集群的步骤：

  1. Ensure that Spark is installed on every node and add the Spark installation directory to the PATH environment variable.
  2. Set up the main node (Master) and worker nodes (Worker) for the Spark cluster.
  3. Start the Apache Spark master using the command “spark-class org.apache.spark.deploy.master.Master”
  4. Start a worker node using the following Spark class: org.apache.spark.deploy.worker.Worker .
  5. The main URL
  6. spark://localhost:7077 : Spark running on localhost with port number 7077.
  7. Wait for the Spark cluster to finish starting up. You can verify if the cluster has successfully started by accessing the Web UI of the master node.
  8. Open the Spark shell with the specified master URL.
  9. URL of the master
  10. localhost address for Spark on port 7077

Before starting the Spark cluster, make sure that all nodes can communicate with each other and the network connection is working properly. Additionally, additional configurations can be made as needed, such as resource allocation and setting up environment variables.

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