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Apache Kafka is an open-source stream processing platform that is primarily used for building real-time data pipelines and event-driven applications. When paired with the CData JDBC Driver for SAP Ariba Procurement, Kafka can work with live SAP Ariba Procurement data. This article describes how to connect, access and stream SAP Ariba Procurement data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the SAP Ariba Procurement data received using Kafka infrastructure in the Confluent Platform.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SAP Ariba Procurement data. When you issue complex SQL queries to SAP Ariba Procurement, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP Ariba Procurement and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SAP Ariba Procurement data using native data types.
Before connecting the CData JDBC Driver for streaming SAP Ariba Procurement data in Apache Kafka Topics, install and configure the following in the client Linux-based system.
mkdir SAPAribaProcurement
mv SAPAribaProcurementJDBCDriver.zip SAPAribaProcurement/
unzip SAPAribaProcurementJDBCDriver.zip
ls cd lib/
cp -r /path/to/CData JDBC Driver for SAP Ariba Procurement/lib/* /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/ cd /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
java -jar cdata.jdbc.saparibaprocurement.jar -l
confluent local services start
This starts all the Confluent Services like Zookeeper, Kafka, Schema Registry, Kafka REST, Kafka CONNECT, ksqlDB and Control Center. You are now ready to use the CData JDBC driver for SAP Ariba Procurement to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.
๐ Start the Confluent local services curl --location 'server_address:8083/connectors'
--header 'Content-Type: application/json'
--data '{
"name": "jdbc_source_cdata_saparibaprocurement_01",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url": "jdbc:saparibaprocurement:ANID=AN02000000280;API=PurchaseOrdersBuyerAPI-V1;APIKey=wWVLn7WTAXrIRMAzZ6VnuEj7Ekot5jnU;AuthScheme=OAuthClient;InitiateOAuth=GETANDREFRESH;",
"topic.prefix": "saparibaprocurement-01-",
"mode": "bulk"
}
}'
Let us understand the fields used in the HTTP POST body (shown above):
For assistance in constructing the JDBC URL, use the connection string designer built into the CData JDBC Driver for SAP Ariba Procurement. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.saparibaprocurement.jar
Fill in the connection properties and copy the connection string to the clipboard.
In order to connect with SAP Ariba Procurement, set the following:
After setting connection properties, you need to configure OAuth connectivity to authenticate.
For more information on creating an OAuth application, refer to the Help documentation.
After setting the following, you are ready to connect:
When you connect, the provider automatically completes the OAuth process:
This request adds all the tables/contents from SAP Ariba Procurement as Kafka Topics.
Note: The IP Address (server) to POST the request (shown above) is the Linux Network IP Address.
ksql list topics;๐ List the Kafka Topics (BigCommerce is shown)
PRINT topic FROM BEGINNING;
To access the Confluent Control Center user interface, ensure to run the "confluent local services" as described in the above section and type http://<server address>:9021/clusters/ on your local browser.
๐ Connect with Confluent Control CenterDownload a free, 30-day trial of the CData JDBC Driver for SAP Ariba Procurement and start streaming SAP Ariba Procurement data into Apache Kafka. Reach out to our Support Team if you have any questions.
Download a free trial of the SAP Ariba Procurement Driver to get started:
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