Query Chain execution using Aggregation transformation

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Query Chain using Aggregation Transformation

Group and aggregate data in a Query Chain using SUM, COUNT, AVG, MIN, and MAX functions.

Overview

The Aggregation transformation groups records by dimension columns and computes aggregate metrics — SUM, COUNT, AVG, MIN, MAX — across the grouped data. This guide walks through configuring an Aggregation widget and reviewing the summarised output.

Note: Ensure all required connection profiles are configured in the Administration module before building queries or Query Chains in this workflow.

Prerequisites

• You are logged in to Data Trust with a Pro-User or Admin Pro-User role.
• A Query Chain with a data source widget has been configured.

Steps

Path: Data Trust › Query Studio › Query Chain using Aggregation Transformation

Figure 1: Query Studio_Query Builder_Query Chain

Navigate to the Query Studio module and select Query Studio_Query Builder_Query Chain to open the Query Builder workspace. This is the starting point for creating, editing, and managing queries in Data Trust.

Figure 2: Query Chain create page

The Query Chain create page is the main workspace for building and editing queries. Use the canvas to write SQL, add data sources, connect transformations, and configure output options.

Figure 3: Read data from table widget

This step shows Read data from table widget in the Query Chain using Aggregation Transformation workflow. Follow the on-screen prompts to complete this configuration step before proceeding to the next stage.

Figure 4: Read data from table_popup window

This step shows Read data from table_popup window in the Query Chain using Aggregation Transformation workflow. Follow the on-screen prompts to complete this configuration step before proceeding to the next stage.

Figure 5: PostgreSQL_Database Type_PostgreSQL_Connection Name_Click the Navigator

Select the appropriate connection profile from the dropdown to link the query to its data source. Choosing the correct profile ensures the query reads from the intended database or system.

Figure 6: Navigator slide screen_is_ordes table from tpch1 schema

The Navigator panel displays the available databases, schemas, and tables for the selected connection. Expand the tree to locate the required table, then click Select to add it to the query.

Figure 7: Click is_orders table_Click Select button

This step shows Click is_orders table_Click Select button in the Query Chain using Aggregation Transformation workflow. Follow the on-screen prompts to complete this configuration step before proceeding to the next stage.

Figure 8: Click the Transformations tab

The Transformations tab lists all available data transformation widgets — Filter, Projection, Aggregation, Join, Pivot, Unpivot, and more. Drag the required transformation onto the canvas and connect it between the data source and output widgets.

Figure 9: Drag and Drop the Aggregation icon

Drag the The Aggregation Icon widget from the palette and drop it onto the Query Chain canvas. Once placed, click the widget to open its configuration popup and complete the required settings.

Figure 10: Aggregate data from Data Source popup window

The Aggregation widget groups records by selected dimensions and computes aggregate values such as SUM, COUNT, AVG, MIN, or MAX. Define the group-by columns and the aggregate expressions, then save the widget.

Figure 11: orderid is change to Aggregation count_employeeid is change to aggregation AVG_Click the Save button

Click Save to persist the query or configuration to the Query Explorer. A confirmation message appears once the save completes, and the query is available for reuse in Query Chains and scenarios.

Figure 12: Click the Output tab

The RD Output widget captures the final result set from the Query Chain for use in downstream processes. Configure the output name and format, then save the widget to make the results accessible to other scenarios and reports.

Figure 13: Drag and Drop the RD Output icon

Drag the The Rd Output Icon widget from the palette and drop it onto the Query Chain canvas. Once placed, click the widget to open its configuration popup and complete the required settings.

Figure 14: RD Output popup window_Click the Select button

The RD Output widget captures the final result set from the Query Chain for use in downstream processes. Configure the output name and format, then save the widget to make the results accessible to other scenarios and reports.

Figure 15: Click the Execute Now icon

Click Execute Now to run the query immediately and fetch the result set. The results appear in the Results tab, and the execution status is displayed in the progress indicator.

Figure 16: Click the RD Output count icon

The RD Output widget captures the final result set from the Query Chain for use in downstream processes. Configure the output name and format, then save the widget to make the results accessible to other scenarios and reports.

Figure 17: Results tab displayed from executed data

Click Execute Now to run the query immediately and fetch the result set. The results appear in the Results tab, and the execution status is displayed in the progress indicator.