Hi @sher, When creating an external table in Snowflake that points to a directory in Amazon S3, youโll need to follow a specific syntax and consider the file format.
Letโs address your issue with the UUID column name.
File Format:
- First, create a file format that defines the type of file (e.g., CSV), the field delimiter (e.g., comma), whether data is enclosed in double quotes, and whether to skip the header.
- For example:CREATE OR REPLACE FILE FORMAT my_schema.my_format TYPE = 'CSV' FIELD_DELIMITER = ',' FIELD_OPTIONALLY_ENCLOSED_BY = '"' SKIP_HEADER = 1;
Stage Creation:
- Next, create an external stage that specifies the S3 details and the file format.
- Replace <path where file is kept> with the actual S3 path:CREATE OR REPLACE STAGE my_schema.my_stage URL = 's3://<path where file is kept>' CREDENTIALS = (AWS_KEY_ID = '****' AWS_SECRET_KEY = '****') FILE_FORMAT = my_format;
External Table Creation:
- Finally, create the external table based on the stage name and file format.
- Define the columns using expressions that extract the actual values from the JSON data.
- For example:CREATE OR REPLACE EXTERNAL TABLE my_schema.my_table ( ID VARCHAR AS (VALUE:COL- b400af61-9tha-4565-89c4-d6ba43f948b7::VARCHAR), OtherColumn1 VARCHAR AS (VALUE:OtherColumn1::VARCHAR), OtherColumn2 INT AS (VALUE:OtherColumn2::INT) ) WITH LOCATION = @My_stage FILE_FORMAT = my_format;
- Adjust the column names and data types for your specific use case.
This approach should help you resolve the issue with UUID column names when reading directly from the S3 path to generate an external table in Snowflake. ๐