Common Issues
Connection issues
OAuth authorization fails or returns an error
This usually means something went wrong during the Snowflake OAuth flow. Common causes:
Your Snowflake account URL is incorrect or the account is inactive
Your browser is blocking pop-ups or third-party cookies required for the OAuth redirect
The Snowflake user you're logging in with doesn't have a default role assigned
Things to try:
Ensure you're logging into the correct Snowflake account
Allow pop-ups for Coupler.io in your browser settings
Check that your Snowflake user has a default role set (e.g.,
SYSADMINor a custom role with the required privileges)Try disconnecting and reconnecting the Snowflake account in Coupler.io
Data flow fails because the warehouse is suspended
Snowflake warehouses can be suspended (paused) to save credits. If the warehouse assigned to your user or role is suspended and auto-resume is disabled, Coupler.io won't be able to execute queries.
To fix this:
Enable auto-resume on the warehouse so it starts automatically when Coupler.io connects
Alternatively, manually resume the warehouse in the Snowflake console before running the data flow
You can enable auto-resume with: ALTER WAREHOUSE your_warehouse SET AUTO_RESUME = TRUE;
Connection times out during the data flow run
A timeout during the run (not at the OAuth step) can indicate the warehouse is too small for the data volume, or that Snowflake is experiencing transient issues.
Try running the data flow again — transient timeouts often resolve themselves
If the issue persists, consider scaling up the warehouse size temporarily for the initial load
Check the Snowflake query history in the Snowflake console for more details on what failed
Data issues
Append mode breaks after a source schema change
When using Append mode, Coupler.io writes new rows into the existing table structure. If your source adds new columns (for example, a new metric in your ad platform), Snowflake won't know about them and the run may fail.
To fix this, manually ALTER TABLE in Snowflake to add the new column(s) before the next run. After that, Coupler.io will populate them normally.
Data types are wrong in the destination table
Coupler.io detects and enforces column types automatically. However, if the table already exists with different column types from a previous run or manual creation, there can be a mismatch.
If you're using Replace mode, try dropping the existing table and letting Coupler.io recreate it cleanly on the next run
If you're using Append mode, check that the existing table's column types match what Coupler.io is trying to write
Data flow fails with an identifier or naming error
Snowflake treats unquoted identifiers as uppercase by default. If your table or column names contain mixed case or special characters, they may need to be quoted in Snowflake.
Let Coupler.io create the table from scratch (using Replace mode on a new table) to avoid naming conflicts
If you pre-created the table manually, make sure the column names match exactly what Coupler.io expects — check case sensitivity
Permission errors
Permission denied when creating a schema or table
The Snowflake role associated with your connected account doesn't have enough privileges. Make sure the role has:
USAGE on the target warehouse
USAGE on the target database
USAGE and CREATE TABLE on the target schema
INSERT on the target table
You can grant these with:
If you want Coupler.io to create new tables automatically, the role needs CREATE TABLE on the schema — not just INSERT on existing tables.
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