Avro File Reader
Learn more about the Avro File Reader connector and how to use it in the Digibee Integration Platform.
Avro File Reader is a Pipeline Engine v2 exclusive connector.
The Avro File Reader connector allows you to read Avro files.
Avro is a popular data serialization framework used within the Hadoop Big Data ecosystem, which is known for its schema evolution support and compactness. For more information, see the official website.
Parameters
Take a look at the configuration parameters of the connector. Parameters supported by Double Braces expressions are marked with (DB)
.
General tab
Parameter | Description | Default value | Data type |
---|---|---|---|
File Name | The file name of the Avro file to be read. | {{ message.fileName }} | String |
Check File Size | If the option is active, the specified Maximum File Size is checked. In case of a higher size, an error will be thrown. | False | Boolean |
Maximum File Size | Specifies the maximum size allowed (in bytes) of the file to be read. | N/A | Integer |
Fail On Error | If the option is active, the execution of the pipeline with an error will be interrupted. Otherwise, the pipeline execution proceeds, but the result will show a false value for the | False | Boolean |
Documentation tab
Parameter | Description | Default value | Data type |
---|---|---|---|
Documentation | Section for documenting any necessary information about the connector configuration and business rules. | N/A | String |
Note that a compressed Avro file produces a JSON content that is larger than the file itself when it’s read. Therefore, it’s important to validate whether the pipeline has enough memory to handle the data, as it will be stored in the pipeline's memory.
Usage examples
Reading file
Reading an Avro file without checking the file size:
File Name: file.avro
Check File Size: deactivated
Output:
Reading file - Checking file size
Reading an Avro file checking its size being higher than the Maximum File Size:
File Name: file.avro
Check File Size: activated
Maximum File Size: 5000000
Output:
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