topic Data Pull from S3 in Data Engineering

Data Pull from S3

bchaubey — Sun, 16 Jul 2023 15:48:54 GMT

I have some file in S3, I want to process through Databricks, How it possible? Could you please help me regarding the same.

Re: Data Pull from S3

Ajay-Pandey — Mon, 17 Jul 2023 06:13:34 GMT

Hi @bchaubey ,

You can access S3 data in databricks by mounting your S3 bucket with databricks .

Please refer below documents that will help you to connect S3 with databricks.

Databricks S3 Integration: 3 Easy Steps (hevodata.com)

Re: Data Pull from S3

-werners- — Mon, 17 Jul 2023 07:35:04 GMT

Databricks is actually made to connect to data lake (adls/s3) data.
There are several methods to read data in such a data lake. The easiest way is already mentioned by ajaypanday6781 (using mounts).
However Databricks advices against using mounts but instead using Unity Catalog.
https://docs.databricks.com/storage/amazon-s3.html

I would try to use the Unity Catalog method if it is possible for you as Unity is free and gives you some nice features.
The mount method however still works, but cannot be used in combination with Unity.

Re: Data Pull from S3

Anonymous — Tue, 18 Jul 2023 04:40:35 GMT

Hi @bchaubey

Hope everything is going great.

Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can help you.

Cheers!

Re: Data Pull from S3

dream — Tue, 18 Jul 2023 05:05:54 GMT

access_key = dbutils.secrets.get(scope = "aws", key = "aws-access-key") secret_key = dbutils.secrets.get(scope = "aws", key = "aws-secret-key") encoded_secret_key = secret_key.replace("/", "%2F") aws_bucket_name = "<aws-bucket-name>" mount_name = "<mount-name>" dbutils.fs.mount(f"s3a://{access_key}:{encoded_secret_key}@{aws_bucket_name}", f"/mnt/{mount_name}") display(dbutils.fs.ls(f"/mnt/{mount_name}"))

Source: https://docs.databricks.com/dbfs/mounts.html