> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mage.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# S3

![](https://user-images.githubusercontent.com/78053898/198754439-87922b6d-e8ed-4b6c-852c-96a1d3545612.png)

## Add credentials

1. Create a new pipeline or open an existing pipeline.
2. Expand the left side of your screen to view the file browser.
3. Scroll down and click on a file named `io_config.yaml`.
4. Enter the following keys and values under the key named `default` (you can
   have multiple profiles, add it under whichever is relevant to you)
   ```yaml theme={"system"}
   version: 0.1.1
   default:
     AWS_ACCESS_KEY_ID: ...
     AWS_SECRET_ACCESS_KEY: ...
   ```

<br />

## Using Python block

1. Create a new pipeline or open an existing pipeline.

2. Add a data loader or transformer block (the code snippet below is for a data
   loader).

3. Select `Generic (no template)`.

4. Enter this code snippet (note: change the `config_profile` from `default` if
   you have a different profile):

   ```python theme={"system"}
   from mage_ai.settings.repo import get_repo_path
   from mage_ai.io.config import ConfigFileLoader
   from mage_ai.io.s3 import S3
   from os import path
   from pandas import DataFrame

   if 'data_loader' not in globals():
       from mage_ai.data_preparation.decorators import data_loader


   @data_loader
   def load_from_s3_bucket(**kwargs) -> DataFrame:
       config_path = path.join(get_repo_path(), 'io_config.yaml')
       config_profile = 'default'

       bucket_name = '...'  # Change to your bucket name
       object_key = '...'   # Change to your object key

       return S3.with_config(ConfigFileLoader(config_path, config_profile)).load(
           bucket_name,
           object_key,
       )
   ```

5. Run the block.

### MinIO Support

To execute requests on MinIO databases, simply add:

```yaml theme={"system"}
AWS_ENDPOINT: your_endpoint:port #example: "https://play.min.io:9000"
```

to the `io_config.yaml` file

### Errors

<b>S3 connection endpoint URL error</b>

Open the `io_config.yaml` file at the root of your project (e.g.
`default_repo/io_config.yaml`).

Change the value for the `AWS_REGION` key to the region of your S3 bucket (e.g.
`us-west-2`).

## Permissions

Ensure your AWS IAM user or role has the following permissions:

* `s3:GetObject`
* `s3:PutObject`
* `s3:ListBucket`

These permissions are required to:

* Read data from S3 (e.g. `.csv`, `.parquet`, `.json`)
* Write query results or transformed data to S3
* List contents of a bucket when needed