Instead of nesting IF conditions, you can chain multiple pipelines with dependencies to ensure that each validation occurs sequentially.
Example:
- Pipeline 1: File Name Validation
- Use a Lookup Activity to check if the file name is valid.
- If valid, call Pipeline 2.
- If invalid, move the file to an error location and trigger a failure notification.
- Pipeline 2: Header Validation
- Use Mapping Data Flow or a Lookup Activity to validate the header structure.
- If valid, call Pipeline 3.
- If invalid, move the file to an error location.
- Pipeline 3: Content Validation
- Perform additional row-level validation.
- If valid, determine the file type and trigger the correct load process.
Another approach, you can use a Web Activity with an Azure Function or Logic App that evaluates the conditions dynamically and returns the next step.
Steps:
- Use a Lookup Activity to get the file metadata.
- Pass the metadata to an Azure Function that evaluates the validation rules.
- The Azure Function returns a response (e.g.,
{"status": "pass", "nextStep": "headerValidation"}
). - A Switch Activity in ADF determines whether to proceed to the next step or fail.
If you want to avoid multiple ADF pipelines, you can push the sequential validation logic into Snowflake stored procedures and call them from ADF.
Steps:
- Create a stored procedure in Snowflake that:
- Checks the file name.
- Validates the header.
- Validates row-level content.
- Determines the correct load routine.
- In ADF, use a Stored Procedure Activity to execute this procedure.
- Capture the output (success or failure) and take the necessary action.
- Validates row-level content.
- Validates the header.
- Checks the file name.
ApproachProsConsMultiple Pipelines & DependenciesEasier to maintain, visually clearRequires more pipelines, increases execution timeMultiple Pipelines & DependenciesEasier to maintain, visually clearRequires more pipelines, increases execution timeWeb Activity + Azure FunctionFlexible, logic remains dynamicRequires additional Azure services (Functions or Logic Apps)Stored Procedure in SnowflakeKeeps logic centralized in SnowflakeMight become complex with extensive procedural logic--- Recommendation
- If you prefer a visual approach, go with multiple pipelines.
- If you want a dynamic, scalable solution, use Web Activity + Azure Function.
- If you want a database-driven approach, use a Snowflake stored procedure.