cancel
Showing results for 
Search instead for 
Did you mean: 
Data Engineering
cancel
Showing results for 
Search instead for 
Did you mean: 

Forum Posts

lnights
by New Contributor II
  • 2331 Views
  • 5 replies
  • 2 kudos

High cost of storage when using structured streaming

Hi there, I read data from Azure Event Hub and after manipulating with data I write the dataframe back to Event Hub (I use this connector for that): #read data df = (spark.readStream .format("eventhubs") .options(**ehConf) ...

transactions in azure storage
  • 2331 Views
  • 5 replies
  • 2 kudos
Latest Reply
PetePP
New Contributor II
  • 2 kudos

I had the same problem when starting with databricks. As outlined above, it is the shuffle partitions setting that results in number of files equal to number of partitions. Thus, you are writing low data volume but get taxed on the amount of write (a...

  • 2 kudos
4 More Replies
User16790091296
by Contributor II
  • 472 Views
  • 0 replies
  • 5 kudos

Some Tips & Tricks for Optimizing costs and performance (Clusters and Ganglia): [Note: This list is not exhaustive] Leverage the DataFrame or Spar...

Some Tips & Tricks for Optimizing costs and performance (Clusters and Ganglia):[Note: This list is not exhaustive]Leverage the DataFrame or SparkSQL API’s first. They use the same execution process resulting in parity in performance but they also com...

  • 472 Views
  • 0 replies
  • 5 kudos
Labels