Ready to get started?

Download a free trial of the Sage Cloud Accounting Cmdlets to get started:

 Download Now

Learn more:

Sage Cloud Accounting Icon Sage Cloud Accounting Data Cmdlets

An easy-to-use set of PowerShell Cmdlets offering real-time access to Sage Cloud Accounting. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.

PowerShell Scripting to Replicate Sage Cloud Accounting Data to MySQL



Write a simple PowerShell script to replicate Sage Cloud Accounting data to a MySQL database.

The CData Cmdlets for Sage Cloud Accounting offer live access to Sage Cloud Accounting data from within PowerShell. Using PowerShell scripts, you can easily automate regular tasks like data replication. This article will walk through using the CData Cmdlets for Sage Cloud Accounting and the CData Cmdlets for MySQL in PowerShell to replicate Sage Cloud Accounting data to a MySQL database.

After obtaining the needed connection properties, accessing Sage Cloud Accounting data in PowerShell and preparing for replication consists of four basic steps.

You can connect to Sage Business Cloud Accounting using the embedded OAuth connectivity. When you connect, the OAuth endpoint opens in your browser. Log in and grant permissions to complete the OAuth process. See the OAuth section in the online Help documentation for more information on other OAuth authentication flows.

Collecting Sage Cloud Accounting Data

  1. Install the module:

    Install-Module SageBCAccountingCmdlets
  2. Connect to Sage Cloud Accounting:

    $sagebcaccounting = Connect-SageBCAccounting
  3. Retrieve the data from a specific resource:

    $data = Select-SageBCAccounting -Connection $sagebcaccounting -Table "SalesInvoices"

    You can also use the Invoke-SageBCAccounting cmdlet to execute pure SQL-92 statements:

    $data = Invoke-SageBCAccounting -Connection $sagebcaccounting -Query 'SELECT * FROM SalesInvoices WHERE sent = @sent' -Params @{'@sent'='TRUE'}
  4. Save a list of the column names from the returned data.

    $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name

Inserting Sage Cloud Accounting Data into the MySQL Database

With the data and column names collected, you are ready to replicate the data into a MySQL database.

  1. Install the module:

    Install-Module MySQLCmdlets
  2. Connect to MySQL, using the server address and port of the MySQL server, valid user credentials, and a specific database with the table in which the data will be replicated:

    $mysql = Connect-MySQL -User $User -Password $Password -Database $Database -Server $Server -Port $Port
  3. Loop through the Sage Cloud Accounting data, store the values, and use the Add-MySQL cmdlet to insert the data into the MySQL database, one row at a time. In this example, the table will need to have the same name as the Sage Cloud Accounting resource (SalesInvoices) and to exist in the database.

    $data | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "SalesInvoices" -Columns $columns -Values $values }

You have now replicated your Sage Cloud Accounting data to a MySQL database. This gives you freedom to work with Sage Cloud Accounting data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.

Notes

  • Once you have connected to Sage Cloud Accounting and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

    Select-SageBCAccounting -Connection $sagebcaccounting -Table "SalesInvoices" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "SalesInvoices" -Columns $columns -Values $values }
  • If you wish to replicate the Sage Cloud Accounting data to another database using another PowerShell module, you will want to exclude the Columns, Connection, and Table columns from the data returned by the Select-SageBCAccounting cmdlet since those columns are used to help pipe data from one CData cmdlet to another:

    $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name | ? {$_ -NotIn @('Columns','Connection','Table')}