Configuring an Amazon S3 pipeline
Last updated
Was this helpful?
Last updated
Was this helpful?
For an Amazon S3 pipeline, the settings include:
AWS credentials
Output location
Whether to also generate redacted versions of the original files
Selected files and folders
When you create a pipeline that uses files from Amazon S3, you are prompted to provide the credentials to use to connect to Amazon S3.
From the Pipeline Settings page, to change the credentials:
Click Update AWS Credentials.
Provide the new credentials:
In the Access Secret field, provide the secret key that is associated with the access key.
From the Region dropdown list, select the AWS Region to send the authentication request to.
In the Session Token field, provide the session token to use for the authentication request.
To test the connection, click Test AWS Connection.
To save the new credentials, click Update AWS Credentials.
On the Pipeline Settings page, under Select Output Location, navigate to and select the folder in Amazon S3 where Textual writes the output files.
When you run a pipeline, Textual creates a folder in the output location. The folder name is the pipeline job identifier.
Within the job folder, Textual recreates the folder structure for the original files. It then creates the JSON output for each file. The name of the JSON file is <original filename>_<original extension>_parsed.json.
If the pipeline is also configured to generate redacted versions of the files, then Textual writes the redacted version of each file to the same location.
For example, for the original file Transaction1.txt, the output for a pipeline run contains:
Transaction1_txt_parsed.json
Transaction1.txt
By default, when you run an Amazon S3 pipeline, Textual only generates the JSON output.
To also generate versions of the original files that redact or synthesize the detected entity values, toggle Synthesize Files to the on position.
For information on how to configure the file generation, go to Configuring file synthesis for a pipeline.
One option for selected folders is to filter the processed files based on the file extension. For example, in a selected folder, you might only want to process .txt and .csv files.
Under File Processing Settings, select the file extensions to include. To add a file type, select it from the dropdown list. To remove a file type, click its delete icon.
Note that this filter does not apply to individually selected files. Textual always processes those files regardless of file type.
Under Select files and folders to add to run, navigate to and select the folders and individual files to process.
To add a folder or file to the pipeline, check its checkbox.
When you check a folder checkbox, Textual adds it to the Prefix Patterns list. It processes all of the applicable files in the folder, based on whether the file type is a type that Textual supports and whether it is included in the file type filter.
When you click the folder name, it displays the folder contents.
When you select an individual file, Textual adds it to the Selected Files list.
To delete a file or folder, either:
In the navigation pane, uncheck the checkbox.
In the Prefix Patterns or Selected Files list, click its delete icon.
In the Access Key field, provide an AWS access key that is associated with an IAM user or role. For an example of an IAM role that has the required permissions for an Amazon S3 pipeline, go to .
