How to process all Azure storage file from Databricks

[bchaubey]

Hi,

I want to process all files that are in my azure storage using databricks, What is the process?

[-werners- · Accepted solution]

It depends on what you mean by 'process'.
Spark can read several files at once.  All you need is the path to a directory with files.
Then you can read the whole directory using spark.read.parquet/csv/json/... (depends on your file format).

It is important however that all files have the same schema (columns), otherwise this approach will not work.

Is this what you are looking for? Or do you also need help with linking your data lake to databricks?

[bchaubey · Accepted solution]

in attachment only one file that is 003.csv. Suppose i have 5 files and all schema are same. How can load in dataframe one by one?

[-werners-]

df = spark.read.csv("/mnt/lake/data/csv")

Here I assume "/mnt/lake/data/csv" is the directory with the 5 files.
spark.read.csv also has some options like the separator, header etc:
https://spark.apache.org/docs/latest/sql-data-sources-csv.html

So there is no need to do this one by one, read the whole dir in one go.

[bchaubey]

Could you  please provide me the code with my scenario

[-werners-]

well, my previous post kinda is the code.
The dataframe will read all files in this directory.
What else do you need?