Thaís Linzmaier
02/10/2025, 3:08 PMMarvin
02/10/2025, 3:08 PMsnowflake_query function in Prefect, you'll typically need to access the underlying Snowflake connection or cursor. This is because the Prefect snowflake_query function itself does not directly provide column names in its return values.
Here's a general approach you can take:
1. Access the Snowflake Cursor: Use the Snowflake connection to execute your query and retrieve the cursor.
2. Fetch Column Names: Use the cursor's description attribute to get the column names.
Here's a conceptual example in Python:
python
from prefect_snowflake import SnowflakeConnector
# Replace with your actual credentials and query
credentials = {"your_credentials_here"}
query = "SELECT * FROM your_table"
with SnowflakeConnector(credentials) as conn:
cursor = conn.cursor()
cursor.execute(query)
column_names = [desc[0] for desc in cursor.description]
print(column_names)
This example assumes you have set up your Snowflake credentials correctly and installed the prefect-snowflake package. For more details, you can refer to the Prefect Snowflake documentation.
If you need more specific help with the snowflake_query function itself, you may want to look into how to access the cursor directly through the Prefect Snowflake integration.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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