ADLS Ingestion Target

Target Configuration

Configure the target parameters that are explained below.

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 in which the transformed data should be emitted.


Path

Provide Azure Storage/Databricks Mount Point directory path based upon the chosen Access Option.


Output Type

Output format in which results will be processed.

Delimiter

Provide the Delimiter in case of CSV output data type.


Output Fields

Fields that need to be part of the output data.


Partitioning Required

If checked, data will be partitioned.

Partition Columns

This option is to select fields on which data will be partitioned.


Save Mode

Save Mode is used to specify the expected behavior of saving data to a data sink.

Errorifexist: When persisting data, if the data already exists, an exception is expected to be thrown.

Append: When persisting data, if data/table already exists, contents of the Schema are expected to be appended to existing data.

Overwrite: When persisting data, if data/table already exists, existing data is expected to be overwritten by the contents of the Data.

Ignore: When persisting data, if data/table already exists, the save operation is expected to not save the contents of the Data and to not change the existing data. This is similar to a CREATE TABLE IF NOT EXISTS in SQL.


Compression Type

Algorithm to use to compress the data.


Add Configuration: To add additional custom ADLS properties in a key-value pair.

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