Azure Databricks with Storage Account as data layer and DBFS understanding

[User16826994223]

1. What is the difference between ADLS mounted ON DataBricks and dbfs
2. does the Mount of ADLS on databricks make gives any performance benefit , is the mounted ADLS still behave as object storage or it become simple storage

[User16826994223]

1. DBFS is just an abstraction on cloud storage

By default when you create a workspace, you get an instance of DBFS - so-called DBFS Root. Plus you can mount additional storage accounts under the 

/mnt

 folder. Data written to mount point paths (

/mnt

) is stored outside of the DBFS root. Even though the DBFS root is writeable, It's recommended that you store data in mounted object storage rather than in the DBFS root. The mounted storage does't change the performance of read and write , spark stills read the data in form of chunks and parallel processing is still applicable so there is no question of production degradation