How can I optimize Z-ordering performance and resource usage for large DataFrames?

[Byunk]

I'm encountering OOM and "no space on disk" errors when running Z-ordering on large datasets because it appears to generate only a single task that utilizes just one executor. Is there a way to configure Z-ordering to run across multiple executors in parallel, or are there alternative approaches and best practices to distribute the workload and manage resource usage more effectively during Z-ordering operations?

[Byunk]

Sorry for dump question... The only need is repartition before optimization.