Ronald is an Azure Data Engineer of Fabrikum Inc, where he's assigned to optimize Azure Databricks Spark jobs.
Now, in the Azure Databricks cluster, the Spark -submit jobs are failing with the following error message -
“Failed to parse byte string: -1 “ & showing the following output in console - java.util.concurrent.ExecutionException: java.lang.NumberFormatException: Size must be specified as bytes (b), kilobytes (k), megabytes (m), gigabytes (g), terabytes (t), or petabytes(p)
E.g.
100b, 200k, or 350mb. Failed to parse byte string: -1 …….
What resolution can he apply to mitigate the above issue?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: D.
The error message indicates that there is an issue with parsing a byte string in the Spark-submit jobs in the Azure Databricks cluster. Specifically, the error message states that the size must be specified as bytes, kilobytes, megabytes, gigabytes, terabytes, or petabytes, but the string "-1" is not a valid size value. To mitigate this issue, Ronald can apply the following resolution:
D. He can apply a positive value to the “spark.driver.maxResultSize” property to define a specific size of the spark-submit jobs.
Explanation:
The error message indicates that there is an issue with parsing a byte string in the Spark-submit jobs. The "spark.driver.maxResultSize" property is responsible for defining the maximum size of the result that can be returned by a driver to the cluster manager. By default, the value of this property is set to "1g" (1 gigabyte). However, it seems like this value is not set correctly, leading to the error message.
To mitigate this issue, Ronald can apply a positive value to the "spark.driver.maxResultSize" property to define a specific size of the Spark-submit jobs. This can be done by setting a valid size value for the "spark.driver.maxResultSize" property, such as "2g" for 2 gigabytes or "500m" for 500 megabytes. This will allow the Spark-submit jobs to allocate sufficient memory for their operations and prevent them from failing due to the error.
In summary, the resolution to mitigate the issue with parsing a byte string in the Spark-submit jobs in the Azure Databricks cluster is to apply a positive value to the "spark.driver.maxResultSize" property to define a specific size of the Spark-submit jobs. This will ensure that sufficient memory is allocated for the Spark-submit jobs to complete their operations successfully.