KB Feedback DiscussionIn addition to the Databricks Community, we have a Support team that maintains a Knowledge Base (KB). The KB contains answers to common questions about Databricks, as well as information on optimisation and troubleshooting.These...
I am using MultiThread in this job which creates 8 parallel jobs. It fails for few times in a day and sometimes stuck in any of the Python notebook cell process. Here The Python process exited with an unknown exit code.The last 10 KB of the process's...
Hey, it seems that the issue is related to the driver undergoing a memory bottleneck, which causes it to crash with an out of memory (OOM) condition and gets restarted or becomes unresponsive due to frequent full garbage collection. The reason for th...
KB Feedback Discussion In addition to the Databricks Community, we have a Support team that maintains a Knowledge Base (KB). The KB contains answers to common questions about Databricks, as well as information on optimisation and troubleshooting.Thes...
Thanks for sharing @Sujitha Ramamoorthy​
Hello everyone,I am trying to determine the appropriate cluster specifications/sizing for my workload:Run a PySpark task to transform a batch of input avro files to parquet files and create or re-create persistent views on these parquet files. This t...
If the data is 100MB, then I'd try a single node cluster, which will be the smallest and least expensive. You'll have more than enough memory to store it all. You can automate this and use a jobs cluster.
