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• base_socket_url

  • Description: The URL used by the Secure Agent to establish a connection with the EazyDi platform.

  • Purpose: This is a crucial setting that should not be altered. It specifies the endpoint for all communication between the agent and the cloud service.

• username

  • Description: The username associated with your EazyDi account.

  • Purpose: This parameter is used for authenticating the Agent with the EazyDi platform. It ensures that the agent operates under the correct user context.

  • Example: username=myusername@eazydi.com

• token

  • Description: The authentication token provided by EazyDi.

  • Purpose: This token is used in conjunction with the username to authenticate the Secure Agent. It is essential for secure and authorized access to the platform.

  • Example: token=320af1e1-5786-4779-bf20-1ecadb92c900

• spark_memory

  • Description: The amount of memory allocated to Apache Spark.

  • Purpose: This setting determines how much memory is available for Spark jobs executed by the Agent. Adequate memory allocation is crucial for performance, especially when handling large datasets. see https://spark.apache.org/docs/latest/configuration.html

  • Example: spark_memory=6g

• spark_master

  • Description: The Spark master URL.

  • Purpose: This specifies the master node for the Spark cluster. In a standalone or local mode, it indicates that Spark jobs should run on the local machine. see https://spark.apache.org/docs/latest/submitting-applications.html

  • Example: spark_master=local

• spark_cores

  • Description: The number of CPU cores allocated to Spark.

  • Purpose: This parameter sets the number of CPU cores available for Spark processing tasks. More cores can improve performance by allowing more parallel processing. see https://spark.apache.org/docs/latest/configuration.html

  • Example: spark_cores=2

For Windows

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