Migrating data from Sage 50 UK to Databricks using CData SSIS Components.


Easily push Sage 50 UK data to Databricks using the CData SSIS Tasks for Sage 50 UK and Databricks.

Databricks is a unified data analytics platform that allows organizations to easily process, analyze, and visualize large amounts of data. It combines data engineering, data science, and machine learning capabilities in a single platform, making it easier for teams to collaborate and derive insights from their data.

The CData SSIS Components enhance SQL Server Integration Services by enabling users to easily import and export data from various sources and destinations.

In this article, we explore the data type mapping considerations when exporting to Databricks and walk through how to migrate Sage 50 UK data to Databricks using the CData SSIS Components for Sage 50 UK and Databricks.

Data Type Mapping

Databricks Schema CData Schema

int, integer, int32

int

smallint, short, int16

smallint

double, float, real

float

date

date

datetime, timestamp

datetime

time, timespan

time

string, varchar

If length > 4000: nvarchar(max), Otherwise: nvarchar(length)

long, int64, bigint

bigint

boolean, bool

tinyint

decimal, numeric

decimal

uuid

nvarchar(length)

binary, varbinary, longvarbinary

binary(1000) or varbinary(max) after SQL Server 2000

Special Considerations

  • String/VARCHAR: String columns from Databricks can map to different data types depending on the length of the column. If the column length exceeds 4000, then the column is mapped to nvarchar (max). Otherwise, the column is mapped to nvarchar (length).
  • DECIMAL Databricks supports DECIMAL types up to 38 digits of precision, but any source column beyond that can cause load errors.

Prerequisites

Create the project and add components

  1. Open Visual Studio and create a new Integration Services Project.
  2. Add a new Data Flow Task to the Control Flow screen and open the Data Flow Task.
  3. Add a CData Sage 50 UK Source control and a CData Databricks Destination control to the data flow task.

Configure the Sage 50 UK source

Follow the steps below to specify properties required to connect to Sage 50 UK.

  1. Double-click the CData Sage 50 UK Source to open the source component editor and add a new connection.
  2. In the CData Sage 50 UK Connection Manager, configure the connection properties, then test and save the connection.

    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.
  3. After saving the connection, select "Table or view" and select the table or view to export into Databricks, then close the CData Sage 50 UK Source Editor.

Configure the Databricks destination

With the Sage 50 UK Source configured, we can configure the Databricks connection and map the columns.

  1. Double-click the CData Databricks Destination to open the destination component editor and add a new connection.
  2. In the CData Databricks Connection Manager, configure the connection properties, then test and save the connection. To connect to a Databricks cluster, set the properties as described below.

    Note: The needed values can be found in your Databricks instance by navigating to Clusters, selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

    • Server: Set to the Server Hostname of your Databricks cluster.
    • HTTPPath: Set to the HTTP Path of your Databricks cluster.
    • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

    Other helpful connection properties

    • QueryPassthrough: When this is set to True, queries are passed through directly to Databricks.
    • ConvertDateTimetoGMT: When this is set to True, the components will convert date-time values to GMT, instead of the local time of the machine.
    • UseUploadApi: Setting this property to true will improve performance if there is a large amount of data in a Bulk INSERT operation.
    • UseCloudFetch: This option specifies whether to use CloudFetch to improve query efficiency when the table contains over one million entries.
  3. After saving the connection, select a table in the Use a Table menu and in the Action menu, select Insert.
  4. On the Column Mappings tab, configure the mappings from the input columns to the destination columns.

Run the project

You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.

Ready to get started?

Download a free trial of the Sage 50 UK SSIS Component to get started:

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Learn more:

Sage 50 UK Icon Sage 50 UK SSIS Components

Powerful SSIS Source & Destination Components that allow you to easily connect SQL Server with live Sage 50 UK account data through SSIS Workflows.

Use the Sage 50 UK Data Flow Components to synchronize with Customers, Transactions, Invoices, Sales Receipts, etc. Perfect for data synchronization, local back-ups, workflow automation, and more!

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