Example - Accessing Snowflake data from Streamlit in Snowflake¶

This topic describes how to access Snowflake data from a Streamlit app in Streamlit in Snowflake.

Streamlit in Snowflake provides a convenience session that allows a Streamlit app to connect to Snowflake without having to provide Snowflake credentials when using this session.

To access Snowflake data from a Streamlit app:

1. Import the Streamlit library:

   import streamlit as st
   

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2. Import get_active_session from the Snowpark library:

   from snowflake.snowpark.context import get_active_session
   

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3. Create a session:

   session = get_active_session()
   

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4. Define a SQL query:

   sql = f"select * from snowflake_sample_data.tpch_sf1.lineitem limit 20"
   

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5. Run the query and convert the result to a Pandas dataframe:

   data = session.sql(sql).to_pandas()
   

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6. Add Streamlit features to your app to display the results of your query.

   See Get Started for information on using Streamlit. Also, see Unsupported Streamlit features.