Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# Datashares


You can create a datashare so that users on another cluster can query the data. The cluster containing the data that you want to share is called the *producer* cluster. You create a datashare on the producer cluster for the database objects that you want to share. You can share schemas, tables, views, and SQL user-defined functions (UDFs). The cluster that you want to share the data to is called the *consumer* cluster. On the consumer cluster, you create a database from the datashare. Then, users on the consumer cluster can query the data. For more information, see [Getting started with data sharing](https://docs.aws.amazon.com/redshift/latest/dg/getting-started-datasharing.html) in the *Amazon Redshift Database Developer Guide*.

# Creating datashares


You create a datashare on the cluster that you want to use as the producer cluster. To learn more about datashare considerations, see [Data sharing considerations in Amazon Redshift](https://docs.aws.amazon.com/redshift/latest/dg/datashare-considerations.html) in the *Amazon Redshift Database Developer Guide*. 

1. Choose the database on the producer cluster that you want to use.

1. Create the datashare. For example:

   ```
   create datashare mysource;
   ```

1. Set permissions on the datashare. For example:

   ```
   grant alter, share on datashare mysource to admin;
   ```

1. Set permissions on the database objects that you want to share. For example:

   ```
   alter datashare mysource add schema public;
   ```

   ```
   alter datashare mysource add table public.event;
   ```

1. Set permissions on the consumer cluster namespace to access the datashare. For example:

   ```
   grant usage on datashare mysource to namespace '2b12345-1234-5678-9012-bb1234567890';
   ```

# Showing datashares


You can show the datashares that you've created on the producer cluster. 

1. Choose the producer cluster.

1. Show the datashares. For example:

   ```
   show datashares;
   ```

   ```
   share_name	share_owner	source_database		consumer_database	share_type	createdate	is_publicaccessible	share_acl	producer_account	producer_namespace
   test_datashare	100		db_producer		NULL			OUTBOUND	2/15/2022		FALSE		admin		123456789012		p1234567-8765-4321-p10987654321
   ```

# Creating the consumer database


On the consumer cluster, you create a database from the datashare. These steps describe how to share data between two clusters in the same account. For information on sharing data across AWS accounts, see [Sharing data across AWS accounts](https://docs.aws.amazon.com/redshift/latest/dg/across-account.html) in the *Amazon Redshift Database Developer Guide*.

You can use SQL commands or the query editor v2 tree-view panel to create the database.

**To use SQL**

1. Create a database from the datashare for your account and the namespace of the producer cluster. For example:

   ```
   create database share_db from datashare mysource of account '123456789012' namespace 'p1234567-8765-4321-p10987654321'; 
   ```

1. Set permissions so that users can access the database and the schema. For example:

   ```
   grant usage on database share_db to usernames;
   ```

   ```
   grant usage on schema public to usernames;
   ```

**To use the query editor v2 tree-view panel**

1. Choose ![\[Plus sign icon inside a circle, indicating an add or create action.\]](http://docs.aws.amazon.com/redshift/latest/mgmt/images/qev2-add.png)**Create**, and then choose **Database**.

1. Enter a **Database name**.

1. (Optional) Select **Users and groups**, and choose a **Database user**.

1. Choose **Create using a datashare**.

1. Choose the datashare.

1. Choose **Create database**.

   The new ![\[datashare\]](http://docs.aws.amazon.com/redshift/latest/mgmt/images/qev2-datashare.png)**datashare** database displays in the query editor v2 tree-view panel.

1. Set permissions so that users can access the database and the schema. For example:

   ```
   grant usage on database share_db to usernames;
   ```

   ```
   grant usage on schema public to usernames;
   ```

# Querying datashare objects


On the consumer cluster, you can query datashare objects using fully qualified object names expressed with the three-part notation: database, schema, and name of the object. 

1. In the query editor v2 tree-view panel, choose the schema.

1. To view a table definition, choose a table.

   The table columns and data types display.

1. To query a table, choose the table and use the context menu (right-click) to choose **Select table**.

1. Query tables using SELECT commands. For example:

   ```
   select top 10 * from test_db.public.event;
   ```