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Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for OData, Embulk easily loads data from OData to any supported destination. In this article, we explain how to use the CData JDBC Driver for OData in Embulk to load OData services to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live OData services. When you issue complex SQL queries to OData, the driver pushes supported SQL operations, like filters and aggregations, directly to OData and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:
Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.
Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for OData\lib).
Embulk supports JDBC connectivity, so you can easily connect to OData and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with OData.
The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, specify a URL to a valid OData server organization root or OData services file.
For assistance in constructing the JDBC URL, use the connection string designer built into the OData JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.odata.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a typical JDBC connection string for OData:
jdbc:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM;
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
embulk gem install embulk-input-jdbc
embulk gem install embulk-output-mysql
With the input and output plugins installed, we are ready to load OData services into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like odata-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.odata.jar driver_class: cdata.jdbc.odata.ODataDriver url: jdbc:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM; table: "Orders" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Orders" mode: insert
After creating the file, run the Embulk job.
embulk run odata-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.odata.jar driver_class: cdata.jdbc.odata.ODataDriver url: jdbc:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM; query: "SELECT OrderName, Freight FROM Orders WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Orders" mode: insert
By using CData JDBC Driver for OData as a connector, Embulk can integrate OData services into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.
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👁 OData IconEasy-to-use OData client (consumer) enables developers to build Java applications that easily communicate with OData services.