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URL: https://www.cdata.com/kb/tech/elasticsearch-cloud-power-automate-desktop.rst

⇱ Integrate Elasticsearch Data into Power Automate Desktop using CData Connect

Integrate Elasticsearch Data into Power Automate Desktop using CData Connect

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
CData Connect for Elasticsearch Data enables you to integrate Elasticsearch data into workflows built using Microsoft Power Automate Desktop.

CData Connect 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, saving Elasticsearch data into a CSV file.

CData Connect provides a live interface for Elasticsearch, allowing you to integrate with live Elasticsearch data in Power Automate — without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Elasticsearch, leveraging server-side processing to quickly return Elasticsearch data.

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


Configure Elasticsearch Connectivity for Power Automate

Connectivity to Elasticsearch from Power Automate is made possible through CData Connect AI. To work with Elasticsearch data from Power Automate, we start by creating and configuring a Elasticsearch connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Elasticsearch" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Elasticsearch.

    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.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Elasticsearch Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Elasticsearch data from Power Automate Desktop.

Integrate Elasticsearch Data into Power Automate Workflows

After configuring CData Connect with 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.

👁 A new flow in Power Automate

In the flow editor, you can add the options 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 (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

  1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
  2. On the Connection tab:
    1. Select or enter a server name: set to tds.cdata.com,14333
    2. Enter information to lag onto the server: select "Use a specific username and password"
      • Set User name to your CData Connect AI user name (e.g. [email protected])
      • Set Password to your PAT
      • Select the database: use the database configured above (e.g. Elasticsearch1)
  3. Click "Test Connection" to ensure the connection is configured properly
  4. Click "OK" 👁 A configured connection to CData Connect

After building the connection string in the Data Link Properties wizard, save the action.

👁 A configured 'Open SQL connection' action

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Action -> 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 properties, save the action.

👁 A configured 'Execute SQL statement' action

Add a Write to CSV File Action

Add a "Write to CSV file" action (Action -> 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 properties, save the action.

👁 A configured 'Write to CSV file' action

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Action -> Database) and configure the properties.

  • SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

👁 A configured 'Close SQL connection' action

Save & Run the Flow

Once you have configured all the options for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

👁 A fully configured workflow

Now you have a workflow to save Elasticsearch data into a CSV file.

👁 Application data in a CSV file (Salesforce is shown)

With CData Connect AI, you get live connectivity to Elasticsearch data within your Microsoft Power Automate workflows.

SQL Access to Elasticsearch Data from Cloud Applications

Now you have a direct connection to live Elasticsearch data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating Elasticsearch data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

Related Power Automate Articles

This article explains how to use CData Connect AI with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):