What does the task retry mechanism in Spark refer to?

In Spark, the task retry mechanism refers to Spark automatically attempting to re-execute a task that has failed for some reason (such as node failure, resource shortage, network issues, etc.) in order to ensure the successful completion of the job. Spark will retry tasks based on the retry times and strategies set in the configuration, such as exponential backoff strategy. Through the task retry mechanism, Spark can improve the stability and reliability of jobs, ensuring successful completion.