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Apache Spark Data をMySQL にレプリケーションするPowerShell スクリプト

PowerShell でシンプルなスクリプトを記述し、Apache Spark data をMySQL データベースにレプリケーション(複製)。

CData Cmdlets for Apache Spark をつかって、PowerShell からリアルタイムApache Spark data に連携できます。データ同期などのタスクの連携にぴったりの製品です。 本記事では、PowerShell からCData Cmdlets for Apache Spark およびCData Cmdlets for MySQL を使って、同期スクリプトを作成して実行します。

After obtaining the needed connection properties, accessing Apache 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 Apache Spark Data

  1. Install the module:

    Install-Module SparkSQLCmdlets
  2. Connect to Apache 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 Apache 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 Apache 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 Apache 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 Apache Spark data to a MySQL database. This gives you freedom to work with Apache 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 Apache 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 Apache 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')}
 
 
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