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PowerShell Scripting to Replicate Spark Data to MySQL

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

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

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

Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

Collecting Spark Data

  1. Install the module:

    Install-Module SparkSQLCmdlets
  2. Connect to Spark:

    $sparksql = Connect-SparkSQL -Server $Server
  3. Retrieve the data from a specific resource:

    $data = Select-SparkSQL -Connection $sparksql -Table "Customers"

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

    $data = Invoke-SparkSQL -Connection $sparksql -Query 'SELECT * FROM Customers WHERE Country = @Country' -Params @{'@Country'='US'}
  4. Save a list of the column names from the returned data.

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

Inserting Spark 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 Spark 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 Spark resource (Customers) and to exist in the database.

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

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

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