What is the problem the feature request solves?
Observed the issue when Comet is not fully utilizing Spark cluster parallelism.
Input: 1200 HDFS files, number of Spark planned tasks: 1800. Every file is splittable, so Spark utilizes all 1800 scanning and writing the shuffle whereas Comet utilizing only 1200 tasks having 600 idle.
I was not able to reproduce the same locally, will try on local HDFS later
Describe the potential solution
No response
Additional context
No response
What is the problem the feature request solves?
Observed the issue when Comet is not fully utilizing Spark cluster parallelism.
Input: 1200 HDFS files, number of Spark planned tasks: 1800. Every file is splittable, so Spark utilizes all 1800 scanning and writing the shuffle whereas Comet utilizing only 1200 tasks having 600 idle.
I was not able to reproduce the same locally, will try on local HDFS later
Describe the potential solution
No response
Additional context
No response