Spark column headings, camelCase or snake case?

I know this is a bit of a silly question. But what is the norm for Sparkcolumn headings? Is it camelCase or snakec_ase. For example here " someone suggested and I quote SumTotalInMillionGBP" accurately conveys the meaning but is a bit long and uses camelCase, which is not the standard convention

Re: External Spark shuffle service for k8s

I think this answers your question about what to do if you need more space on nodes. https://spark.apache.org/docs/latest/running-on-kubernetes.html#local-storage Local Storage Spark supports using volumes to spill

Re: [Spark SQL]: Source code for PartitionedFile

Hi Mich, Thanks for the reply. I did come across that file but it didn't align with the appearance of `PartitionedFile`: https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/PartitionedFileUtil.scala In fact, the code snippet you shared also

Re: External Spark shuffle service for k8s

" In the end for my usecase I started using pvcs and pvc aware scheduling along with decommissioning. So far performance is good with this choice." How did you do this? tor. 11. apr. 2024 kl. 04:13 skrev Arun Ravi : > Hi Everyone, > > I had to explored IBM's and AWS's S3 shuffle plugins (some