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With the SQL Connector it is possible to use SQL Server to import data into SuperOffice from a SQL Database or export data from SuperOffice to a SQL Database.

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This feature is in a pilot fase, so it is placed behind a feature toggle. If you want to participate in the pilot, please send a request to support@infobridge.com

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Specific features, functionalities, and limitations are dependent on the type of subscription plan. For a comprehensive overview, please refer to the following subscription overview page.

Supported SQL versions

  • SQL Server 2016 (aka SQL Server 12) and newer

  • Azure SQL Database

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Select “Microsoft Azure SQL & Microsoft SQL Server” as Location when importing or as Destination when exporting.

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Configure profile

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CONNECTION

Authentication mode

Select the authentication type for connecting to SQL Server (SQL Server Authentication or Active Directory)

Server name

Enter the name of your database engine and port number, seperated by a comma. The server name can be an ip-address or DNS name and port number is only necessary if it is different than the default port (1433)

Database name

Enter the name of the database

Username

Enter username

Password

Enter password

Configure Source

When exporting to SQL

When exporting the “configure source” step is the same as default.

When importing from SQL

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CONFIGURE SOURCE

Source table

Select the table or view you want to import data from

Delete Imported rows

When set to “Yes”, DataBridge will delete the records in the source table after importing. This is only possible when importing from a table that has a primary key and does not apply to views.

Destination Settings

When exporting to SQL

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TABLE

Table Schema

The schema name of the target table

Table name

The name of the target table. If this table does not exist, it will be created

Table action

Wat should be done if the target table already exists. There are 3 options:

  1. Keep the table and all records

  2. Keep the table but remove all records

  3. Drop the table and recreate it from scratch

Duplicate match

Select the column that will be used for duplicate checking

Duplicate action

Select what action that has to done when duplicates are found

Skip if not found

If set to “Yes“, only the records that already exist will be processed. No new records will be created

COLUMNS

Use display name as column name

If set to “Yes”, the friendly display name will be added between parentheses to the column name

Remove unmatched columns

If set to “Yes”, columns in the target table that do not exist in the source data will be removed

When importing from SQL

When importing the “configure source” step is the same as default.

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