Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions,
see Getting Started with Amazon Web Services in China
(PDF).
Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025.
If you would like to use Python UDFs, create the UDFs prior to that date.
Existing Python UDFs will continue to function as normal. For more information, see the
blog post
.
Authorizing a datashare in Amazon Redshift
With Amazon Redshift, you can control access to datashares by authorizing specified
consumers. Datashares allow you to share live data across Amazon Redshift clusters in the
same or different Amazon accounts, providing a seamless way to distribute and
consume analytical data. This section provides step-by-step instructions for
authorizing and revoking consumer access to your datashares in Amazon Redshift.
If you are adding a namespace as a data consumer, you don't have to perform
authorization. To authorize a datashare, there must be at least one data
consumer added to the datashare.
- Console
-
As a producer administrator on the console, you can choose which data
consumers to authorize to access datashares or to remove authorization
from. Authorized data consumers receive notifications to take actions on
datashares. If you are adding a namespace as a data consumer, you
don't have to perform authorization.
Sign in to the Amazon Web Services Management Console and open the Amazon Redshift console at
https://console.amazonaws.cn/redshiftv2/.
-
On the navigation menu, choose Datashares.
From here you can see a list called Datashares
consumers. Choose one or more consumer clusters that
you want to authorize. Then choose
Authorize.
-
The Authorize account dialog appears. You
can choose among a couple authorization types.
-
Read-only on [cluster name or workgroup
name] – This means that no write
permissions are available on the consumer, even if the
datashare creator granted write permissions.
-
Read and write on [cluster name or workgroup
name] – This means that all permissions
granted by the creator, including write permissions, are
available on the consumer.
-
Choose Save.
You can also authorize Amazon Web Services Data Exchange as a consumer.
-
If you chose Publish to Amazon Glue Data Catalog when
creating the datashare, you can only grant authorization of the
datashare to a Lake Formation account.
For Amazon Web Services Data Exchange datashare, you can only authorize one datashare at a
time.
When you authorize an Amazon Web Services Data Exchange datashare, you are sharing the
datashare with the Amazon Web Services Data Exchange service and allowing Amazon Web Services Data Exchange to manage
access to the datashare on your behalf. Amazon Web Services Data Exchange allows access to
consumers by adding consumer accounts as data consumers to the
Amazon Web Services Data Exchange datashare when they subscribe to the products. Amazon Web Services Data Exchange
doesn't have read access to the datashare.
-
Choose Save.
After data consumers are authorized, they can access datashare objects
and create a consumer database to query the data.
- API
-
The producer security administrator determines the following:
-
Whether or not another account can have access to the
datashare.
-
If an account has access to the datashare, whether or not that
account has write permissions.
The following IAM permissions are required to authorize a datashare:
redshift:AuthorizeDataShare
You can authorize usage and writes using either a CLI call or with the
API:
authorize-data-share
--data-share-arn <value>
--consumer-identifier <value>
[--allow-writes | --no-allow-writes]
For more information about the command, see authorize-data-share.
The consumer identifier can be either:
Write permissions aren’t granted at the authorizing step.
Authorizing a datashare for writes just allows the account to have
write permissions that were granted by the datashare administrator. If
an administrator does not allow writes, the only permissions available
to the specific consumer are SELECT, USAGE, and EXECUTE.
You can change the authorization of a datashare consumer by calling
authorize-data-share
again, but with a different value.
The old authorization is overwritten by the new authorization. So if you
originally authorize and allow writes, but re-authorize and specify
no-allow-writes
or simply do not specify a value, the
consumer will have their write permissions revoked.