In which Spark UI component would you typically look for indicators of partition spilling to disk?

The stage's detail screen in the Spark UI is where you would typically find indicators of partition spilling to disk. This screen provides a comprehensive view of how data is processed through each stage of your Spark application. Key metrics related to memory usage, task execution time, and spill operations can be monitored here.

When spills occur, they indicate that the amount of data being processed exceeds the available memory for that stage, forcing Spark to write overflow data to disk. This is a critical performance consideration, as spills can significantly slow down application execution. On the stage's detail screen, you can check the metrics related to memory and disk usage, which will help identify whether any partitions are experiencing spills due to memory constraints.

While the other components of the Spark UI provide valuable information about the job's execution, they do not specifically focus on the details of memory usage and spill operations associated with each stage of processing. The query's detail screen typically gives a high-level overview of job execution, the driver's log files contain logs and errors, and the executor's detail screen focuses on the performance of individual executors rather than specific effects like spilling within a stage.