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

# Redshift

<Frame>
  <img alt="" src="https://user-images.githubusercontent.com/78053898/198754422-f3800160-b36a-4e3c-af78-cf322e55a7d3.png" />
</Frame>

## 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={null}
version: 0.1.1
default:
  REDSHIFT_DBNAME: ...
  REDSHIFT_HOST: ...
  REDSHIFT_PORT: ...
  REDSHIFT_TEMP_CRED_USER: ...
  REDSHIFT_TEMP_CRED_PASSWORD: ...
```

When connecting to **Redshift Serverless**, you can use `workgroup-name.account-number.aws-region.redshift-serverless.amazonaws.com`
as the `REDSHIFT_HOST` value.

<br />

## Using SQL block

1. Create a new pipeline or open an existing pipeline.
2. Add a data loader, transformer, or data exporter block.
3. Select `SQL`.
4. Under the `Data provider` dropdown, select `Redshift`.
5. Under the `Profile` dropdown, select `default` (or the profile you added
   credentials underneath).
6. Next to the `Save to schema` label, enter the schema name you want this block
   to save data to.
7. Under the `Write policy` dropdown, select `Replace` or `Append` (please see
   [SQL blocks guide](/guides/blocks/sql-blocks)
   for more information on write policies).
8. Enter in this test query: `SELECT 1`.
9. Run the block.

<br />

## Using Python block

1. Create a new pipeline or open an existing pipeline.
2. Add a data loader, transformer, or data exporter 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={null}
from mage_ai.settings.repo import get_repo_path
from mage_ai.io.config import ConfigFileLoader
from mage_ai.io.redshift import Redshift
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_data_from_redshift(**kwargs) -> DataFrame:
    query = 'SELECT 1'
    config_path = path.join(get_repo_path(), 'io_config.yaml')
    config_profile = 'default'

    with Redshift.with_config(ConfigFileLoader(config_path, config_profile)) as loader:
        return loader.load(query)
```

5. Run the block.

<br />