Work with SAP Hybris C4C Data in Apache Spark Using SQL

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SAP Hybris JDBC Driver

Straightforward SAP Hybris C4C integration. Now accessing SAP Hybris C4C Accounts, Activities, Orders, Customers, etc. from any JDBC client is as easy as querying a database.



Access and process SAP Hybris C4C Data in Apache Spark using the CData JDBC Driver.

Apache Spark is a fast and general engine for large-scale data processing. When paired with the CData JDBC Driver for SAP Hybris C4C, Spark can work with live SAP Hybris C4C data. This article describes how to connect to and query SAP Hybris C4C data from a Spark shell.

The CData JDBC Driver offers unmatched performance for interacting with live SAP Hybris C4C data due to optimized data processing built into the driver. When you issue complex SQL queries to SAP Hybris C4C, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP Hybris C4C and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can work with and analyze SAP Hybris C4C data using native data types.

Install the CData JDBC Driver for SAP Hybris C4C

Download the CData JDBC Driver for SAP Hybris C4C installer, unzip the package, and run the JAR file to install the driver.

Start a Spark Shell and Connect to SAP Hybris C4C Data

  1. Open a terminal and start the Spark shell with the CData JDBC Driver for SAP Hybris C4C JAR file as the jars parameter: $ spark-shell --jars /CData/CData JDBC Driver for SAP Hybris C4C/lib/cdata.jdbc.saphybrisc4c.jar
  2. With the shell running, you can connect to SAP Hybris C4C with a JDBC URL and use the SQL Context load() function to read a table.

    SAP Hybris Cloud for Customer uses basic authentication. Set the User and Password to your login credentials.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the SAP Hybris C4C JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.saphybrisc4c.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Configure the connection to SAP Hybris C4C, using the connection string generated above.

    scala> val saphybrisc4c_df = spark.sqlContext.read.format("jdbc").option("url", "jdbc:saphybrisc4c:User=user;Password=password;").option("dbtable","AccountCollection").option("driver","cdata.jdbc.saphybrisc4c.SAPHybrisC4CDriver").load()
  3. Once you connect and the data is loaded you will see the table schema displayed.
  4. Register the SAP Hybris C4C data as a temporary table:

    scala> saphybrisc4c_df.registerTable("accountcollection")
  5. Perform custom SQL queries against the Data using commands like the one below:

    scala> saphybrisc4c_df.sqlContext.sql("SELECT ObjectID, AccountName FROM AccountCollection WHERE AccountName = MyAccount").collect.foreach(println)

    You will see the results displayed in the console, similar to the following:

Using the CData JDBC Driver for SAP Hybris C4C in Apache Spark, you are able to perform fast and complex analytics on SAP Hybris C4C data, combining the power and utility of Spark with your data. Download a free, 30 day trial of any of the 200+ CData JDBC Drivers and get started today.