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Complete read-write access to Sage 50 UK enables developers to search (Customers, Transactions, Invoices, Sales Receipts, etc.), update items, edit customers, and more, from any Java/J2EE application.

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Load Sage 50 UK Data to a Database Using Embulk


Use CData JDBC Driver for Sage 50 UK with the open source ETL/ELT tool Embulk to load Sage 50 UK data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Sage 50 UK, Embulk easily loads data from Sage 50 UK to any supported destination. In this article, we explain how to use the CData JDBC Driver for Sage 50 UK in Embulk to load Sage 50 UK data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Sage 50 UK data. When you issue complex SQL queries to Sage 50 UK, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage 50 UK and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to Sage 50 UK 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 Sage 50 UK\lib).

Embulk supports JDBC connectivity, so you can easily connect to Sage 50 UK and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Sage 50 UK.

Note: Only Sage 50 UK 2012 and above are supported.

The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used to log in to the Sage 50 UK software.

Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:

  1. If you have not already done so, open the Sage 50 UK software.
  2. Click Tools -> Internet Options.
  3. Select the SData Settings tab.
  4. Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
  5. Set the URL property to the value in the address field next to the company desired.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 50 UK JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.sage50uk.jar

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

Below is a typical JDBC connection string for Sage 50 UK:

jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;

Load Sage 50 UK 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
  2. 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 Sage 50 UK data into MySQL using Embulk.

Create a Job to Load Sage 50 UK Data

Start by creating a config file in Embulk, using a name like sage50uk-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for Sage 50 UK, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.sage50uk.Sage50UKDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (sage50uk-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.sage50uk.jar driver_class: cdata.jdbc.sage50uk.Sage50UKDriver url: jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager; table: "TradingAccounts" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "TradingAccounts" mode: insert

After creating the file, run the Embulk job.

embulk run sage50uk-mysql.yml

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

Load Filtered Sage 50 UK 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[product_name] 20xx\lib\cdata.jdbc.sage50uk.jar driver_class: cdata.jdbc.sage50uk.Sage50UKDriver url: jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager; query: "SELECT Name, FinanceBalance FROM TradingAccounts WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "TradingAccounts" mode: insert

More Information & Free Trial

By using CData JDBC Driver for Sage 50 UK as a connector, Embulk can integrate Sage 50 UK 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.