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Offload File in Query Chain
Overview
A Query Chain (QC) is a multi-step data pipeline built on the Query Studio canvas. It connects data source widgets (RDBMS, Query, REST API, CSV, etc.) through transformation widgets (Filter, Aggregation, Join, Pivot, Unpivot, Projection) to an RD Output or file export. Query Chains can be scheduled, emailed, and reused as inputs to scenarios.
Prerequisites
- You are logged in to Data Trust with a Pro-User or Admin Pro-User role.
- At least one connection profile and one saved query are available in the system.
Steps
Path: Data Trust › Query Studio › Offload File in Query Chain
This step shows image in the Offload File in Query Chain workflow. Follow the on-screen prompts to complete this configuration step before proceeding to the next stage.
This step shows selected columns Exceptions data in the Offload File in Query Chain workflow. Follow the on-screen prompts to complete this configuration step before proceeding to the next stage.
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.
The By selecting the First checkbox you will get offload filename with system provided name like below configures a CSV file as the data source for the query. Select the file connection profile, browse to the file location, and map the delimiter and header settings before saving.
The By selecting the second check box it will exclude the scenario id in the file name like below screenshot in physical filename. configures a CSV file as the data source for the query. Select the file connection profile, browse to the file location, and map the delimiter and header settings before saving.
The offload results displays the output data returned by the query or Query Chain execution. Review row counts, column values, and data quality before saving or using the output in downstream processes.
The Offload results in csv displays the output data returned by the query or Query Chain execution. Review row counts, column values, and data quality before saving or using the output in downstream processes.