ADLS Ingestion Source

On a ADLS Batch Channel you will be able to read data from specified ADLS Container.

Data Source Configuration #

Configure the data source parameters that are explained below.

Fetch From Source/Upload Data File #

For designing the application, you can either fetch the sample data from the Amazon S3 source by providing the data source connection details or upload a sample data file in one of the supported formats to see the schema details during the application design.

Upload Data File #

If Upload Data File is selected to fetch sample data, provide the below details.

File Format #

Select the sample file format (file type) depending on the data type.

Gathr-supported file formats for ADLS data source are CSV, JSON, TEXT, XML, Fixed Length, Avro, Parquet, and ORC.

For CSV file format, select its corresponding delimiter.

Header Included #

Enable this option to read the first row as a header if your Amazon S3 data is in CSV format.

Upload #

Please upload the sample file as per the file format selected above.

Fetch From Source #

If Fetch From Source is selected, continue configuring the data source.

Connection Name #

Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details for ADLS earlier. Or create one as explained in the topic - ADLS Connection →

Container #

ADLS container name from which the data should be read.

ADLS Directory Path #

Provide directory path for ADLS file system.

File Filter #

Provide a file pattern example: *csv/*json to retrieve the available files.

Recursive File Lookup #

Check the option to retrieve the files from current/sub-folder(s).

Add Configuration: Additional properties can be added using this option as key-value pairs.

Schema #

Check the populated schema details. For more details, see Schema Preview →

Advanced Configuration #

Optionally, you can enable incremental read. For more details, see ADLS Incremental Configuration →.