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Get the Report →Load OData Services to a Database Using Embulk
Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load OData services to a database.
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).
About OData Data Integration
CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:
- Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
- Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
- Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
- Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
- Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.
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.
Getting Started
Configure a JDBC Connection to OData Services
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, you will need to specify a URL to a valid OData server organization root or OData services file.
Built-in Connection String Designer
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.
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;
Load OData Services in Embulk
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
Install Embulk Input & Output Plugins
- Install the JDBC Input Plugin in Embulk.
https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc - In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysqlembulk gem install embulk-output-mysql
embulk gem install embulk-input-jdbc
With the input and output plugins installed, we are ready to load OData services into MySQL using Embulk.
Create a Job to Load OData Services
Start by creating a config file in Embulk, using a name like odata-mysql.yml.
- For the input plugin options, use the CData JDBC Driver for OData, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.odata.ODataDriver), and the JDBC URL from above
- For the output plugin options, use the values and credentials for the MySQL database
Sample Config File (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.
Load Filtered OData Services
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
More Information & Free Trial
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.