Input

Document

• Min: 1

• Max: 1

• JSON Formatter

• Mapper

This Snap allows exactly one input view and expects documents in the view. Each document should have values for one AND clause in the WHERE statement. 

Each document in the input view should contain a Map data of key-value entries. Input data may contain values needed to evaluate expressions in the Object type, Output fields, and Conditions properties.

If the Pass-though on no lookup match property is unchecked, please make sure input data types match column data types in the database table. Otherwise, you may encounter an error message "Cannot find an input data which is related to the output record .....". If the error view is open, all input data in the batch are routed to the error view with the same error information.

Output

Document

• Min: 1

• Max: 1

• CSV Parser

• JSON Parser

This Snap has exactly one output view and produces documents in the view. The output document includes the corresponding input data under the "original" key. If there are no results from the query, each output field will have a null value.

Each document in the output view contains a Map data of key-value entries, where keys are the Output fields property values. The input data that has produced the corresponding output data is also included in the output data under the "original" key.

Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the Pipeline by choosing one of the following options from the When errors occur list under the Views tab:

• Stop Pipeline Execution: Stops the current pipeline execution if the Snap encounters an error.

• Discard Error Data and Continue: Ignores the error, discards that record, and continues with the remaining records.

• Route Error Data to Error View: Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.