Load Excel Online Data to a Database Using Embulk

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Excel Online JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with live Excel Online Spreadsheet data!



Use CData JDBC Driver for Excel Online with the open source ETL/ELT tool Embulk to load Excel Online data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Excel Online, Embulk easily loads data from Excel Online to any supported destination. In this article, we explain how to use the CData JDBC Driver for Excel Online in Embulk to load Excel Online data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Excel Online data. When you issue complex SQL queries to Excel Online, the driver pushes supported SQL operations, like filters and aggregations, directly to Excel Online and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to Excel Online Data

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 Excel Online\lib).

Embulk supports JDBC connectivity, so you can easily connect to Excel Online and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Excel Online.

You can connect to a workbook by providing authentication to Excel Online and then setting the following properties:

  • Workbook: Set this to the name or Id of the workbook.

    If you want to view a list of information about the available workbooks, execute a query to the Workbooks view after you authenticate.

  • UseSandbox: Set this to true if you are connecting to a workbook in a sandbox account. Otherwise, leave this blank to connect to a production account.

You use the OAuth authentication standard to authenticate to Excel Online. See the Getting Started section in the help documentation for a guide. Getting Started also guides you through executing SQL to worksheets and ranges.

Built-in Connection String Designer

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

java -jar cdata.jdbc.excelonline.jar

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

Below is a typical JDBC connection string for Excel Online:

jdbc:excelonline:InitiateOAuth=GETANDREFRESH

Load Excel Online Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

  1. Install the JDBC Input Plugin in Embulk.
    https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc
  2. embulk gem install embulk-input-jdbc
  3. 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-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load Excel Online data into MySQL using Embulk.

Create a Job to Load Excel Online Data

Start by creating a config file in Embulk, using a name like excelonline-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for Excel Online, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.excelonline.ExcelOnlineDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (excelonline-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData\CData JDBC Driver for Excel Online 20xx\lib\cdata.jdbc.excelonline.jar driver_class: cdata.jdbc.excelonline.ExcelOnlineDriver url: jdbc:excelonline:InitiateOAuth=REFRESH table: "Test_xlsx_Sheet1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Test_xlsx_Sheet1" mode: insert

After creating the file, run the Embulk job.

embulk run excelonline-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered Excel Online Data

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\CData JDBC Driver for Excel Online 20xx\lib\cdata.jdbc.excelonline.jar driver_class: cdata.jdbc.excelonline.ExcelOnlineDriver url: jdbc:excelonline:InitiateOAuth=REFRESH query: "SELECT Id, Column1 FROM Test_xlsx_Sheet1 WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Test_xlsx_Sheet1" mode: insert

More Information & Free Trial

By using CData JDBC Driver for Excel Online as a connector, Embulk can integrate Excel Online 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.