
Add credentials
- Create a new pipeline or open an existing pipeline.
- Expand the left side of your screen to view the file browser.
- Scroll down and click on a file named
io_config.yaml
. - Enter the following keys and values under the key named
default
(you can have multiple profiles, add it under whichever is relevant to you)
workgroup-name.account-number.aws-region.redshift-serverless.amazonaws.com
as the REDSHIFT_HOST
value.
Using SQL block
- Create a new pipeline or open an existing pipeline.
- Add a data loader, transformer, or data exporter block.
- Select
SQL
. - Under the
Data provider
dropdown, selectRedshift
. - Under the
Profile
dropdown, selectdefault
(or the profile you added credentials underneath). - Next to the
Save to schema
label, enter the schema name you want this block to save data to. - Under the
Write policy
dropdown, selectReplace
orAppend
(please see SQL blocks guide for more information on write policies). - Enter in this test query:
SELECT 1
. - Run the block.
Using Python block
- Create a new pipeline or open an existing pipeline.
- Add a data loader, transformer, or data exporter block (the code snippet below is for a data loader).
- Select
Generic (no template)
. - Enter this code snippet (note: change the
config_profile
fromdefault
if you have a different profile):
- Run the block.
- Custom types.
overwrite_types
dict in data exporter config
Here is an example code snippet: