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Wave Financial Icon Wave Financial Data Cmdlets

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

PowerShell Scripting to Replicate Wave Financial Data to MySQL

Write a simple PowerShell script to replicate Wave Financial data to a MySQL database.

The CData Cmdlets for Wave Financial offer live access to Wave Financial 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 Wave Financial and the CData Cmdlets for MySQL in PowerShell to replicate Wave Financial data to a MySQL database.

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

Connect using the API Token

You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:

  1. Log in to your Wave account and navigate to "Manage Applications" in the left pane.
  2. Select the application that you would like to create a token for. You may need to create an application first.
  3. Click the "Create token" button to generate an APIToken.

Connect using OAuth

If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.

Collecting Wave Financial Data

  1. Install the module:

    Install-Module WaveFinancialCmdlets
  2. Connect to Wave Financial:

    $wavefinancial = Connect-WaveFinancial
  3. Retrieve the data from a specific resource:

    $data = Select-WaveFinancial -Connection $wavefinancial -Table "Invoices"

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

    $data = Invoke-WaveFinancial -Connection $wavefinancial -Query 'SELECT * FROM Invoices WHERE Status = @Status' -Params @{'@Status'='SENT'}
  4. Save a list of the column names from the returned data.

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

Inserting Wave Financial 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 Wave Financial 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 Wave Financial resource (Invoices) and to exist in the database.

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

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


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

    Select-WaveFinancial -Connection $wavefinancial -Table "Invoices" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Invoices" -Columns $columns -Values $values }
  • If you wish to replicate the Wave Financial 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-WaveFinancial 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')}