PowerShell Scripting to Replicate Phoenix Data to MySQL



Write a simple PowerShell script to replicate Phoenix data to a MySQL database.

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

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

Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

Authenticating to Apache Phoenix

By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos.

Collecting Phoenix Data

  1. Install the module:

    Install-Module ApachePhoenixCmdlets
  2. Connect to Phoenix:

    $apachephoenix = Connect-ApachePhoenix -Server $Server -Port $Port
  3. Retrieve the data from a specific resource:

    $data = Select-ApachePhoenix -Connection $apachephoenix -Table "MyTable"

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

    $data = Invoke-ApachePhoenix -Connection $apachephoenix -Query 'SELECT * FROM MyTable WHERE Id = @Id' -Params @{'@Id'='123456'}
  4. Save a list of the column names from the returned data.

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

Inserting Phoenix 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 Phoenix 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 Phoenix resource (MyTable) and to exist in the database.

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

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

    Select-ApachePhoenix -Connection $apachephoenix -Table "MyTable" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "MyTable" -Columns $columns -Values $values }
  • If you wish to replicate the Phoenix 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-ApachePhoenix 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')}

Ready to get started?

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Apache Phoenix Icon Phoenix Cmdlets

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