Prepare, Blend, and Analyze RabbitMQ Data in Alteryx Designer (ODBC)
The CData ODBC driver for RabbitMQ enables access to live data from RabbitMQ under the ODBC standard, allowing you work with RabbitMQ data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to RabbitMQ data using an ODBC connection in Alteryx Designer to perform self-service BI, data preparation, data blending, and advanced analytics.
The CData ODBC drivers offer unmatched performance for interacting with live RabbitMQ data in Alteryx Designer due to optimized data processing built into the driver. When you issue complex SQL queries from Alteryx Designer to RabbitMQ, the driver pushes supported SQL operations, like filters and aggregations, directly to RabbitMQ and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze RabbitMQ data using native Alteryx data field types.
Connect to RabbitMQ Data
- If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
About RabbitMQ Management HTTP API
RabbitMQ is an open-source message broker that supports multiple messaging protocols. The RabbitMQ Management HTTP API provides HTTP-based access to management and monitoring data for a RabbitMQ server. The API exposes information about virtual hosts, exchanges, queues, bindings, connections, channels, consumers, users, permissions, policies, and cluster-wide statistics.
The Management plugin must be enabled on the RabbitMQ server for the HTTP API to be available. By default, the management interface listens on port 15672.
Using Basic Authentication
RabbitMQ Management HTTP API uses HTTP Basic authentication. You must supply the username and password of a RabbitMQ management user.
To enable access to the management API:
- Ensure the RabbitMQ Management plugin is enabled on your server (rabbitmq-plugins enable rabbitmq_management).
- Use an existing management user or create one with the appropriate management tag (management, policymaker, monitoring, or administrator).
- Note the full base URL of your RabbitMQ Management HTTP API (e.g., http://localhost:15672).
After configuring your RabbitMQ server, set the following connection properties to connect:
- AuthScheme: Set this to Basic.
- URL: Set this to the base URL of your RabbitMQ Management HTTP API (e.g., http://localhost:15672).
- User: Set this to your RabbitMQ management username (e.g., guest).
- Password: Set this to your RabbitMQ management password.
Example connection string:
Profile=C:\profiles\RabbitMQ.apip;AuthScheme=Basic;URL=http://localhost:15672;User=guest;Password=guest;
Available Tables
The RabbitMQ profile provides access to the following tables:
- Overview - Cluster-wide statistics and information about the RabbitMQ node
- Nodes - Information about individual nodes in the RabbitMQ cluster
- NodeMemory - Detailed memory usage breakdown for a specific cluster node
- Connections - List of all open AMQP connections to the broker
- Channels - List of all open AMQP channels across all connections
- Consumers - List of all consumers registered across all queues
- Exchanges - List of exchanges declared across all virtual hosts
- Queues - List of queues declared across all virtual hosts
- Bindings - List of all bindings between exchanges and queues
- VirtualHosts - List of virtual hosts configured on the broker
- VhostPermissions - User permissions within a specific virtual host
- Users - List of all RabbitMQ users
- Permissions - Permission records for all users across all virtual hosts
- TopicPermissions - Topic-level permission records for all users
- Policies - List of policies applied to queues and exchanges in virtual hosts
- OperatorPolicies - List of operator policies applied to queues in virtual hosts
- Parameters - List of component parameters (e.g., federation, shovel) per virtual host
- GlobalParameters - List of global parameters that apply across all virtual hosts
- VhostLimits - Resource limits configured for specific virtual hosts
- UserLimits - Resource limits configured for specific users
- FeatureFlags - List of feature flags and their enabled/disabled state on the node
- DeprecatedFeatures - List of deprecated features and their usage state
- AuthAttempts - Authentication attempt statistics for the node
- ClusterName - The name of the RabbitMQ cluster
- WhoAmI - Information about the currently authenticated management user
- ExchangeBindingsSource - Bindings for which a specific exchange is the source
- ExchangeBindingsDestination - Bindings for which a specific exchange is the destination
- QueueBindings - Bindings for a specific queue within a virtual host
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 reports and visualizations.
- Open Alteryx Designer and create a new workflow.
- If your application is set to run in DCM Mode Only by default, you need to change it to DCM Mode Optional to enable the CData ODBC Driver connection:
- Open Options > User Settings > Edit User Settings
- Set the DCM Mode to "DCM Optional" and SDK Access Mode to "Allow" or "AllowAll"
- Open Options > User Settings > Edit User Settings
- Drag and drop a new input data tool onto the workflow.
- Click the drop down under Connect a File or Database and select the Data sources tab.
- Navigate tot he end of the page and click on "ODBC" under "Generic connection"
- Select the DSN (CData RabbitMQ Source) that you configured for use in Alteryx.
- In the wizard that opens, drag, and drop the table to be queried in the "Query Builder box." Select the fields by checking the boxes that you wish to include in your query. Where possible, the complex queries generated by the filters and aggregations will be pushed down to RabbitMQ, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the connector.
If you wish to further customize your dataset, you can open the SQL Editor and modify the query manually, adding clauses, aggregations, and other operations to ensure that you are retrieving exactly the RabbitMQ data you want .
With the query defined, you are ready to work with RabbitMQ data in Alteryx Designer.
Perform Self-Service Analytics on RabbitMQ Data
You are now ready to create a workflow to prepare, blend, and analyze RabbitMQ data. The CData ODBC Driver performs dynamic metadata discovery, presenting data using Alteryx data field types and allowing you to leverage the Designer's tools to manipulate data as needed and build meaningful datasets. In the example below, you will cleanse and browse data.
- Add a data cleansing tool to the workflow and check the boxes in Replace Nulls to replace null text fields with blanks and replace null numeric fields with 0. You can also check the box in Remove Unwanted Characters to remove leading and trailing whitespace.
- Add a browse data tool to the workflow.
- Click to run the workflow (CTRL+R).
- Browse your cleansed RabbitMQ data in the results view.
Thanks to built-in, high-performance data processing, you will be able to quickly cleanse, transform, and/or analyze your RabbitMQ data with Alteryx.