The Data Services can be executed using EQL and Generic Extractor REST APIs.
This page shows examples on how to run Data Services extracts using the MC2 Swagger UI.
Running Data Services Extracts using Generic Extractor
One option to run EBS extracts is to use the Generic Extractor REST API. The Swagger for the Generic Extractor REST API can be retrieved from:
https://eagle-web-server/eagle/v2/generic/extract/api-doc
The Generic Extract REST API allows for the execution of multiple extracts, both standard EagleML extracts and Data Services extracts with one HTTP POST request and to returns the extracted data in a ZIP file.
All parameters supported by the Generic Extractor are supported in the REST request.
To execute a test REST request you can use the MC2 Swagger UI. Open the browser (Chrome) to point to the mc2/swagger-ui.html endpoint:
https://eagle-web-server/mc2/swagger-ui.html
In the dropdown on the right top corner select Generic Extractor:
Click on eaglegenericextractrestapi, then POST and Try It Out:
In the Example Value Model add:
{ "extractParameters": [ { "name": "ebs:default:outputformat", "value": "EagleJSON" }, { "name": "ebs:default:invalidatecache", "value": "Y" } ], "extracts": [ { "name": "ebs:genericentity", "extractParameters": [ { "name": "maxrows", "value": "5" } ] }, { "name": "ebs:interfaces", "extractParameters": [ { "name": "maxrows", "value": "10" } ] } ] }
Then click Execute:
The result will be a ZIP file with two extracts:
When you download the zip, you will see two files there:
Running Data Services Extracts Using EQL REST API
The EQL REST API Swagger is available at:
http://eagle-web-server/eagle/v2/eql/api-doc
The EQL interface allows for the execution of one ad-hoc or pre-defined Data Services interface.
A request from the EQL REST API can be executed using the MC2 Swagger UI at
http://eagle-web-server/mc2/swagger-ui.html
In the dropdown select EQL:
Click on eql-rest, then POST, then Try it Out
In the Example Value Model enter:
{ "FeedType" : "genericentity" , "emlObjectType": "Entity", "outputformat": "EagleJSON", "filters": { "maxrows" : "5" }, "SaveSQLQuery": "Y", "invalidatecache": "Y" }
Then click Execute:
The result will be shown in the Response Body box below: