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How to Access Live Elasticsearch Data in Power Automate Desktop via ODBC
The CData ODBC Driver for Elasticsearch enables you to integrate Elasticsearch data into workflows built using Microsoft Power Automate Desktop.
The CData ODBC Driver for Elasticsearch enables you to access live Elasticsearch data in workflow automation tools like Power Automate. This article shows how to integrate Elasticsearch data into a simple workflow, moving Elasticsearch data into a CSV file.
Through optimized data processing, CData ODBC Drivers offer unmatched performance for interacting with live Elasticsearch data in Microsoft Power Automate. When you issue complex SQL queries from Power Automate to Elasticsearch, the driver pushes supported SQL operations, like filters and aggregations, directly to Elasticsearch and utilizes the embedded SQL engine to process unsupported operations client-side (e.g. SQL functions and JOIN operations).
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
Connect to Elasticsearch as an ODBC Data Source
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing workflows.
Integrate Elasticsearch Data into Power Automate Workflows
After configuring the DSN for Elasticsearch, you are ready to integrate Elasticsearch data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.
In the flow editor, you can add the actions to connect to Elasticsearch, query Elasticsearch using SQL, and write the query results to a CSV document.
Add an Open SQL Connection Action
Add an "Open SQL connection" action (Actions -> Database) and configure the properties.
- Connection string: DSN=CData Elasticsearch Source
After configuring the action, click Save.
Add an Execute SQL Statement Action
Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.
- Get connection by: SQL connection variable
- SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
- SQL statement: SELECT * FROM Orders
After configuring the action, click Save.
Add a Write to CSV File Action
Add a "Write to CSV file" action (Actions -> File) and configure the properties.
- Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
- File path: set to a file on disk
- Configure Advanced settings as needed.
After configuring the action, click Save.
Add a Close SQL Connection Action
Add a "Close SQL connection" action (Actions -> Database) and configure the properties.
- SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
After configuring the action, click Save.
Save & Run the Flow
Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.
Now you have a workflow to move Elasticsearch data into a CSV file.
With the CData ODBC Driver for Elasticsearch, you get live connectivity to Elasticsearch data within your Microsoft Power Automate workflows.
Related Power Automate Articles
This article walks through using the CData ODBC Driver for Elasticsearch with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):
Ready to get started?
Download a free trial of the Elasticsearch ODBC Driver to get started:
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Elasticsearch ODBC Driver
The Elasticsearch ODBC Driver is a powerful tool that allows you to connect with live Elasticsearch document databases, directly from any applications that support ODBC connectivity.
Access Elasticsearch like you would a database - read, write, and update through a standard ODBC Driver interface.
