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Write a simple PowerShell script to replicate Elasticsearch data to a MySQL database.
The CData Cmdlets for Elasticsearch offer live access to Elasticsearch 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 Elasticsearch and the CData Cmdlets for MySQL in PowerShell to replicate Elasticsearch data to a MySQL database.
About Elasticsearch Data Integration
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
- Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
- Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
- Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
- Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
Getting Started
After obtaining the needed connection properties, accessing Elasticsearch data in PowerShell and preparing for replication consists of four basic steps.
Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.
The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.
Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.
Collecting Elasticsearch Data
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Install the module:
Install-Module ElasticsearchCmdlets
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Connect to Elasticsearch:
$elasticsearch = Connect-Elasticsearch -Server $Server -Port $Port -User $User -Password $Password
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Retrieve the data from a specific resource:
$data = Select-Elasticsearch -Connection $elasticsearch -Table "Orders"
You can also use the Invoke-Elasticsearch cmdlet to execute pure SQL-92 statements:
$data = Invoke-Elasticsearch -Connection $elasticsearch -Query 'SELECT * FROM Orders WHERE ShipCity = @ShipCity' -Params @{'@ShipCity'='New York'}
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Save a list of the column names from the returned data.
$columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name
Inserting Elasticsearch Data into the MySQL Database
With the data and column names collected, you are ready to replicate the data into a MySQL database.
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Install the module:
Install-Module MySQLCmdlets
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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
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Loop through the Elasticsearch 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 Elasticsearch resource (Orders) and to exist in the database.
$data | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Orders" -Columns $columns -Values $values }
You have now replicated your Elasticsearch data to a MySQL database. This gives you freedom to work with Elasticsearch data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.
Notes
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Once you have connected to Elasticsearch and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:
Select-Elasticsearch -Connection $elasticsearch -Table "Orders" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Orders" -Columns $columns -Values $values }
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If you wish to replicate the Elasticsearch 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-Elasticsearch 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')}