Databricks Community

In Azure, you can use Cost Management to track your expenses incurred by Databricks instance.

You can try optimize and cache with the internal tables such as schema tables to fetch updated information.

I case of struct you can use (.) For extracting the value

I think you can use spark UI to see deep level details ​

You can restart the cluster and check once.​

Overwritte ​option will overwritte your data. If you want to change column name then you can first alter the delta table as per your need then you can append new data as well. So both problems you can resolve

Then can use.​

You can use inferschema​

Hi @Muthukrishnan Balasubramanian​ I got the same issue a while back what worked for me is registering using personal account on partner academy then later I changed my email to my work email. Not sure if it's the best way to sort the issue.

assuming you are having a string type column in pyspark dataframe, one possible way could beidentify total number of characters for each value in column (say identify no of bytes taken by each character (say b)use substring() function to select first...