How do I set up Apache Spark with Yarn Cluster?
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Setting up Apache Spark with YARN Cluster involves several steps: 1. **Install Apache Spark**: Download and install Apache Spark on your system. You can get the latest version from the Apache Spark website. 2. **Set Up Hadoop and YARN**: Ensure that you have Hadoop and YARN installed and configured...
read more Setting up Apache Spark with YARN Cluster involves several steps: 1. **Install Apache Spark**: Download and install Apache Spark on your system. You can get the latest version from the Apache Spark website. 2. **Set Up Hadoop and YARN**: Ensure that you have Hadoop and YARN installed and configured properly on your cluster. Spark relies on YARN for resource management. 3. **Configure Spark**: Edit the `spark-defaults.conf` file in the Spark configuration directory to point to your YARN ResourceManager. Set `spark.master` to `yarn`. 4. **Configure Hadoop and YARN**: Make sure that your Hadoop and YARN configurations are set correctly, especially regarding memory and CPU allocations for Spark applications. 5. **Start the YARN ResourceManager and NodeManagers**: Ensure that the YARN ResourceManager and NodeManagers are running on your cluster. 6. **Submit Spark Applications**: You can now submit Spark applications to your YARN cluster using the `spark-submit` script. Make sure to specify the `--master yarn` option when submitting your application. 7. **Monitor the Application**: You can monitor the status of your Spark applications using the YARN ResourceManager web UI or command-line tools. By following these steps, you should be able to set up Apache Spark with a YARN Cluster successfully. If you encounter any issues, refer to the official Apache Spark and Hadoop documentation for troubleshooting. read less
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