PowerShell Scripting to Replicate Azure Data Catalog Data to MySQL

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Azure Data Catalog Data Cmdlets

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



Write a simple PowerShell script to replicate Azure Data Catalog data to a MySQL database.

The CData Cmdlets for Azure Data Catalog offer live access to Azure Data Catalog 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 Azure Data Catalog and the CData Cmdlets for MySQL in PowerShell to replicate Azure Data Catalog data to a MySQL database.

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

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

    CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

Collecting Azure Data Catalog Data

  1. Install the module:

    Install-Module AzureDataCatalogCmdlets
  2. Connect to Azure Data Catalog:

    $azuredatacatalog = Connect-AzureDataCatalog
  3. Retrieve the data from a specific resource:

    $data = Select-AzureDataCatalog -Connection $azuredatacatalog -Table "Tables"

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

    $data = Invoke-AzureDataCatalog -Connection $azuredatacatalog -Query 'SELECT * FROM Tables WHERE Name = @Name' -Params @{'@Name'='FactProductInventory'}
  4. Save a list of the column names from the returned data.

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

Inserting Azure Data Catalog 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 Azure Data Catalog 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 Azure Data Catalog resource (Tables) and to exist in the database.

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

You have now replicated your Azure Data Catalog data to a MySQL database. This gives you freedom to work with Azure Data Catalog 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 Azure Data Catalog and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

    Select-AzureDataCatalog -Connection $azuredatacatalog -Table "Tables" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Tables" -Columns $columns -Values $values }
  • If you wish to replicate the Azure Data Catalog 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-AzureDataCatalog 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')}