Create and deploy Streamlit apps using SQL¶
This topic describes how to deploy a Streamlit app in Snowflake by using SQL commands. It describes how to deploy single-page and multi-page Streamlit apps.
Create a Streamlit app by using SQL¶
Before creating a Streamlit app by using SQL, ensure that you meet the required prerequisites.
To create a Streamlit app in Snowflake by using SQL commands, perform each of the following tasks:
Create the Streamlit files on your local file system¶
This section describes how to create a single-page or multi-page Streamlit app.
On your local file system, create your main Streamlit app.
Optional: If you are creating a multi-page Streamlit app, create a folder called
pages
on your local file system, and then add the additional Streamlit pages to this subfolder.Optional: To include external packages in your Streamlit app, create an
environment.yml
file. For information about including external packages, see Manage packages by using the environment.yml file.
After you create the Streamlit pages, your directory structure should look similar to this:
└── streamlit/
└── environment.yml
└── streamlit_main.py
└── pages/
└── data_frame_demo.py
└── plot_demo.py
Note
The environment.yml
file and the optional pages
subfolder must be at the same level as your main Streamlit file. Any additional Streamlit
pages must be included within the pages
subfolder.
Upload your Streamlit files to a named stage¶
To create a Streamlit app in Streamlit in Snowflake, you must upload your application files to a named stage.
To upload application files, do one of the following:
Upload the application files by using Snowsight, as described in Staging files using Snowsight.
Upload the application files by using SnowSQL, as shown in the following example:
PUT file:///<path_to_your_root_folder>/streamlit/streamlit_main.py @streamlit_db.streamlit_schema.streamlit_stage overwrite=true auto_compress=false; PUT file:///<path_to_your_root_folder>/streamlit/environment.yml @streamlit_db.streamlit_schema.streamlit_stage overwrite=true auto_compress=false; PUT file:///<path_to_your_root_folder>/streamlit/pages/streamlit_page_2.py @streamlit_db.streamlit_schema.streamlit_stage/pages/ overwrite=true auto_compress=false; PUT file:///<path_to_your_root_folder>/streamlit/pages/streamlit_page_3.py @streamlit_db.streamlit_schema.streamlit_stage/pages/ overwrite=true auto_compress=false;
Create a STREAMLIT object¶
A STREAMLIT object is a database object in Snowflake that encapsulates the files required by your Streamlit app.
To create a STREAMLIT object, run the CREATE STREAMLIT command, as shown in the following example:
CREATE STREAMLIT hello_streamlit ROOT_LOCATION = '@streamlit_db.streamlit_schema.streamlit_stage' MAIN_FILE = 'streamlit_main.py' QUERY_WAREHOUSE = my_warehouse;
This command creates a STREAMLIT object named
hello_streamlit
based on the path and file specified in ROOT_LOCATION and MAIN_FILE.Note
Although the QUERY_WAREHOUSE clause is optional, you must specify a query warehouse to be able to run the Streamlit app in Snowflake.
To verify that the Streamlit object was created, run the SHOW STREAMLITS command:
SHOW STREAMLITS;
Manage packages by using the environment.yml
file¶
To install additional Python packages in your Streamlit app:
Create an
environment.yml
file on your local file system.To upload the file to the stage location specified by the
ROOT_LOCATION
parameter of the STREAMLIT object, run the PUT command.Packages listed in the
environment.yml
are installed from the Snowflake Anaconda Channel.
The following sample environment.yml
shows how to install scikit-learn
within the Streamlit environment:
name: sf_env
channels:
- snowflake
dependencies:
- scikit-learn
The name
and channels
properties are required. Also, the - snowflake
key is required under the
channels
property.
Note
You can only install packages listed in the Snowflake Anaconda Channel. Streamlit in Snowflake does not support external Anaconda channels.
Pin the Streamlit version in the environment.yml
file¶
To pin the Streamlit version in the
environment.yml
file, include astreamlit
dependency as shown in the following example:name: sf_env channels: - snowflake dependencies: - scikit-learn - streamlit=1.31.1
View a Streamlit app¶
To view information about the STREAMLIT object, run the DESCRIBE STREAMLIT command, as shown in the following example:
DESC STREAMLIT hello_streamlit;
To view your Streamlit app in Snowsight, see View a Streamlit app.
Manage STREAMLIT objects¶
After creating a STREAMLIT object, use the ALTER STREAMLIT command to modify different properties as described in the following sections.
Rename a STREAMLIT object¶
To rename a STREAMLIT object, use the RENAME TO clause of the ALTER STREAMLIT command, as shown in the following example:
ALTER STREAMLIT hello_streamlit RENAME TO hello_snowflake;
Change the stage or main file in a STREAMLIT object¶
To change the path to the stage for a STREAMLIT object, use the ALTER STREAMLIT command to set the ROOT_LOCATION property of the object, as shown in the following example:
ALTER STREAMLIT hello_streamlit SET ROOT_LOCATION = '@snowflake_db.snowflake_schema.snowflake_stage'
To change the main Streamlit file in a STREAMLIT object, use the ALTER STREAMLIT command to set the MAIN_FILE property of the object, as shown in the following example:
ALTER STREAMLIT hello_streamlit SET MAIN_FILE = 'snowflake_main.py'
Change the query warehouse assigned to a STREAMLIT object¶
To add a query warehouse or change the current query warehouse for a STREAMLIT object, use the ALTER STREAMLIT command to set the QUERY_WAREHOUSE property of the object, as shown in the following example:
ALTER STREAMLIT hello_streamlit SET QUERY_WAREHOUSE = my_new_warehouse;
List available STREAMLIT objects¶
To list the Streamlit apps that are available to your current role, run the SHOW STREAMLITS command, as shown in the following example:
SHOW STREAMLITS;
Delete a STREAMLIT object¶
To delete a STREAMLIT object, run the DROP STREAMLIT command, as shown in the following example:
DROP STREAMLIT hello_streamlit;