Identifies frequent Snowflake SQL errors and shows how to diagnose and resolve them.
Snowflake is case-sensitive when objects are created with quotes. Referencing "Customers"
as customers
returns error 002003 (object does not exist). Always use the exact quoted name or create objects without quotes to make them fold to upper-case automatically.
This error occurs when a column alias or table name is misspelled or scoped incorrectly. Use DESC TABLE
or the INFORMATION_SCHEMA to confirm the correct identifier before rerunning the query.
Wrap the script in a Snowflake transaction and add VALIDATE()
after each statement. If validation fails, Snowflake returns the exact line and column number, letting you pinpoint the issue quickly.
Set a strict FILE FORMAT
with FIELD_OPTIONALLY_ENCLOSED_BY
and use TRY_TO_NUMBER()
in the COPY INTO statement. Non-numeric strings will convert to NULL instead of aborting the load.
Yes. Use ON_ERROR = 'CONTINUE'
to land rejected rows in VALIDATION_MODE = 'RETURN_ERRORS'
. Query them with RESULT_SCAN(LAST_QUERY_ID())
, fix the data, and reload only the failed rows.
Set SHOW_ERRORS = TRUE
in session parameters so Snowflake surfaces compilation and runtime messages without digging through query history.
Views such as TABLE_CONSTRAINTS
and COLUMNS
reveal missing keys or datatype mismatches before they trigger errors in production queries.
No. Snowflake does not have PL/SQL-style exception blocks. Instead, use TRY_* functions, session parameters, and RESULT_SCAN to capture errors.
Run SELECT * FROM TABLE(VALIDATE(<table_name>, JOB_ID => '_last'));
or query the RESULT_SCAN of the COPY command to review rejected rows.
Usage on a schema lets users see objects, but they still need SELECT or INSERT privileges on each table or view. Grant the additional object-level rights.