Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
High disk and memory spill when doing shuffle.
Insufficient executor memory (you can monitor this spill metrics from Spark UI).
Increase executor memory.
--executor-memory=4G
For jobs that …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Container killed by YARN for exceeding memory limits.
22.0 GB of 19 GB physical memory used.
Consider boosting spark.yarn.executor.memoryOverhead
or disabling yarn.nodemanager.vmem-check-enabled …
This module provides basic mechanisms for measuring and controlling system resources utilized by a process and its subprocesses. It cannot be used to check resource usage of other processes.
https://github.com/apache/arrow
https://stackoverflow.com/questions/54582073/sharing-objects-across-workers-using-pyarrow
https://github.com/pytorch/pytorch/issues/13039
https://issues.apache.org/jira/browse/ARROW-5130
https://uwekorn.com/2019/09/15/how-we-build-apache-arrows-manylinux-wheels.html
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
By default the result of the top command is sorted by CPU usage on Linux.
The table below list options to sort the result of the top command
by different criterias …