Databricks Community

Hi, the process is like traditional software development practices.Docs to refer: https://docs.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/ci-cd-azure-devops#unit-tests-in-azure-databricks-notebooksAzure DevOps Best Practices: https://docs.m...

yes, I can read from notebook with DBR 6.4, when I specify this path: wasbs:REDACTED_LOCAL_PART@blobStorageName.blob.core.windows.net/cook/processYear=2021/processMonth=12/processDay=30/processHour=18but the same using DBR 6.4 from spark-submit, it f...

Hi @Kaniz Fatma​ , the table_changes function is an internal Databricks function used in Change Data Feed (CDF).Please refer to the article below. It discusses the table_changes function.https://docs.databricks.com/delta/delta-change-data-feed.html

As @Chuck Connell​ said can you share more of your source json as that example is not json. Additionally flatten is usually to change something like {"status": {"A": 1,"B": 2}} to {"status.A": 1, "status.B": 2} which can be done easily with spark da...

Hi @nafri A​ ,What is the error you are getting, can you share it please? Like @Hubert Dudek​ mentioned, both will call the same APIs

Spark will handle the map/reduce for you.So as long as you use Spark provided functions, be it in scala, python or sql (or even R) you will be using distributed processing.You just care about what you want as a result.And afterwards when you are more...

With notebooks that is not possible.You can write your code in scala/java and build a jar, which you then run with spark-submit.(example)Or use python and deploy a wheel.(example)This can become quite complex when you have dependencies.Also: a jar et...

Hi @Guillaume Hiet​ ,I was facing the same issue. Try signing up using your mobile phone, it worked for me!