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The CData Cmdlets for Databricks offer live access to Databricks 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 Databricks and the CData Cmdlets for MySQL in PowerShell to replicate Databricks data to a MySQL database.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
After obtaining the needed connection properties, accessing Databricks data in PowerShell and preparing for replication consists of four basic steps.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
Install the module:
Install-Module DatabricksCmdlets
Connect to Databricks:
$databricks = Connect-Databricks -Server $Server -Port $Port -TransportMode $TransportMode -HTTPPath $HTTPPath -UseSSL $UseSSL -User $User -Password $Password
Retrieve the data from a specific resource:
$data = Select-Databricks -Connection $databricks -Table "Customers"
You can also use the Invoke-Databricks cmdlet to execute pure SQL-92 statements:
$data = Invoke-Databricks -Connection $databricks -Query 'SELECT * FROM Customers WHERE Country = @Country' -Params @{'@Country'='US'}
Save a list of the column names from the returned data.
$columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name
With the data and column names collected, you are ready to replicate the data into a MySQL database.
Install the module:
Install-Module MySQLCmdlets
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
Loop through the Databricks 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 Databricks 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 Databricks data to a MySQL database. This gives you freedom to work with Databricks 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 Databricks and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:
Select-Databricks -Connection $databricks -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 Databricks 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-Databricks 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')}
Download a free trial of the Databricks Cmdlets to get started:
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👁 Databricks IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to Databricks. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.