topic Re: How to process all Azure storage file from Databricks in Data Engineering

How to process all Azure storage file from Databricks

bchaubey — Tue, 18 Jul 2023 14:34:20 GMT

Hi,

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

Re: How to process all Azure storage file from Databricks

-werners- — Tue, 18 Jul 2023 14:59:58 GMT

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?

Re: How to process all Azure storage file from Databricks

bchaubey — Tue, 18 Jul 2023 15:14:29 GMT

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?

Re: How to process all Azure storage file from Databricks

-werners- — Tue, 18 Jul 2023 15:18:20 GMT

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.

Re: How to process all Azure storage file from Databricks

bchaubey — Tue, 18 Jul 2023 15:25:42 GMT

Could you please provide me the code with my scenario

Re: How to process all Azure storage file from Databricks

-werners- — Wed, 19 Jul 2023 07:15:50 GMT

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