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Introduction

This plugin would allow SAP ECC enterprise users to specify one of the Inventory Management data sources as source in Cloud Data Fusion. Typical pipeline scenario would include specifying one of the data sources as source (under Sources plugins) and BigQuery as sink. For the sake of simplicity, this document will cover one data source (Material Movements from Inventory Management - 2LIS_03_BF).

User Experience and Configuration

  • SAP ECC Setup
    1. SAP ECC users log into SAP Gateway Service Builder (segw) to create and expose the data source as SAP OData service. SAP has published following articles around this step:

      1. OData service introduction 

      2. Step-by-step guide to build OData service

    2. User creates OData service for the data source (2LIS_03_BF). Output is RESTful OData service that can be accessed by Cloud Data Fusion.

    3. User can also use SAP Netweaver Gateway client to test the service (with HTTP request and response)

...

  • Data type mismatch - OData output has data types (section 6) different than the data types available in BigQuery. Some sort of data type conversion needs to happen before the extracted data can be ingested into BigQuery. Below is the suggested mapping of OData data types to CDAP schema data types:

...

The suggestion is to use Apache Olingo as Client Library. Both OData v2 and v4 are supported by the SAP Gateway, so it could require to use Olingo v2 and Olingo v4.

Code Block
languagejava
titleSample application to read OData resources
linenumberstrue
collapsetrue
public class OlingoSampleApp {
  
  private static final String ROOT_URL = "http://vhcalnplci.dummy.nodomain:8000/sap/opu/odata/SAP/ZGW100_XX_S2_SRV/";
  private static final String USERNAME = "DEVELOPER";
  private static final String PASSWORD = "Appl1ance";
  private static final String RESOURCE_PATH = "SalesOrderCollection";

  public static void main(String[] params) throws Exception {

    ODataClient client = ODataClientFactory.getClient();
    client.getConfiguration().setHttpClientFactory(new BasicAuthHttpClientFactory(USERNAME, PASSWORD));
    
    URI resourcesUri = client.newURIBuilder(ROOT_URL)
      .appendEntitySetSegment(RESOURCE_PATH)
      .build();
    
    ODataEntitySetIteratorRequest<ClientEntitySet, ClientEntity> request = client
      .getRetrieveRequestFactory()
      .getEntitySetIteratorRequest(resourcesUri);
    request.setAccept("application/atom+xml");

    ODataRetrieveResponse<ClientEntitySetIterator<ClientEntitySet, ClientEntity>> response  = request.execute();
    ClientEntitySetIterator<ClientEntitySet, ClientEntity> iterator = response.getBody();

    while (iterator.hasNext()) {
      ClientEntity entity = iterator.next();
      // process client entity
    }
  }
}

...

EDM primitive type

CDAP Schema Data Type

Comment

Edm.Binary
bytes

Edm.Boolean

boolean

Edm.Byte

intUnsigned 8-bit integer value

Edm.DateTime

timestamp

Datetime in the following format:

'yyyy-mm-ddThh:mm[:ss[.fffffff]]'

Edm.Decimal

decimal

Edm.Double

double

Edm.Single

float

Edm.Guid

string

Edm.Int16

int

Edm.Int32

int

Edm.Int64

long

Edm.SByte

intRepresents a signed 8-bit integer value

Edm.String

string

Edm.Time

timeRepresents the time of day with values ranging from 0:00:00.x to 23:59:59.y, where x and y depend upon the precision

Edm.DateTimeOffset

timestamp

Represents date and time as an Offset in minutes from GMT, with values ranging from 12:00:00 midnight, January 1, 1753 A.D. through 11:59:59 P.M, December 9999 A.D


Example 1: 2002-10-10T17:00:00Z

References

Plugin Type

  •  Batch Source
  •  Batch Sink 
  •  Real-time Source
  •  Real-time Sink
  •  Action
  •  Post-Run Action
  •  Aggregate
  •  Join
  •  Spark Model
  •  Spark Compute

...