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Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for XML, Embulk easily loads data from XML to any supported destination. In this article, we explain how to use the CData JDBC Driver for XML in Embulk to load XML data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live XML data. When you issue complex SQL queries to XML, the driver pushes supported SQL operations, like filters and aggregations, directly to XML and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
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 XML\lib).
Embulk supports JDBC connectivity, so you can easily connect to XML and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with XML.
CData Drivers let you work with XML files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to XML file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended XML files exist. In addition, at least set these properties:
To connect to XML file(s) within Box, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Box.
To connect to XML file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to XML file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. Set User, Password, and StorageBaseURL.
To connect to XML file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to XML file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
See the Modeling XML Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
For assistance in constructing the JDBC URL, use the connection string designer built into the XML JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.xml.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 XML:
jdbc:xml:URI=C:/people.xml;DataModel=Relational;
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 XML data into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like xml-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.xml.jar driver_class: cdata.jdbc.xml.XMLDriver url: jdbc:xml:URI=C:/people.xml;DataModel=Relational; table: "people" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "people" mode: insert
After creating the file, run the Embulk job.
embulk run xml-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.xml.jar driver_class: cdata.jdbc.xml.XMLDriver url: jdbc:xml:URI=C:/people.xml;DataModel=Relational; query: "SELECT [ personal.name.first ], [ personal.name.last ] FROM people WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "people" mode: insert
By using CData JDBC Driver for XML as a connector, Embulk can integrate XML data 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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