Field Name	Type	Description
Label* Default Value: Avro Formatter Example: Avro_Formatter	String	Specify the name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your Pipeline.
Schema File* Default Value: [None] Example: sldb:///foo/bar/schema.avsc	String/Expression	Specify the path to the schema file in .avsc format
Ignore empty stream Default value: Deselected Example: Selected	Checkbox	Select the checkbox to specify an action that the Snap must take if the input view contains empty documents. If selected, the Snap does not write anything to the output if no documents are received in the input. Else, the Snap writes an empty array in the output view if no documents are received in the input view.
Snap Execution Default value: Validate & Execute Example: Disabled	Dropdown list	Select one of the three modes in which the Snap executes. Available options are: Validate & Execute: Performs limited execution of the Snap, and generates a data preview during Pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime. Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data. Disabled: Disables the Snap and all Snaps that are downstream from it.

Examples

Transforming CSV data to Avro format

This example pipeline demonstrates how to convert CSV data to Avro format as per the specified schema and transform it to generate reports or update a database. The output is the transformed and formatted data ready for further processing.

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Configure the File Reader Snap to read the leads.csv file. On validation, the Snap displays the data in binary format.

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2. Configure the CSV Parser Snap to parse the binary input of the leads.csv file. On validation, the Snap displays the structured data.

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3. Configure the Avro Formatter Snap to convert the CSV data to Avro format as per the defined Schema file. On validation, the Snap displays the Avro-formatted data.