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Dataphin:Create a new registration indicator

Last Updated:Feb 06, 2025

This topic guides you through the process of mapping metric fields from a physical table to a logical aggregate table to facilitate data analysis, specifically focusing on creating a new registration indicator.

Prerequisites

Ensure that you have completed the creation of derived metrics. For more information, see Create derived metrics.

Procedure

  1. Navigate to the Development section via the top menu bar on the Dataphin home page.

    You will be directed to the Data Development page by default.
  2. On the Data Development page, use the following figure as a guide to access the New Registration Indicator configuration wizard.

    gagaga

  3. In the New Registration Indicator configuration wizard, perform the following steps:

    1. At the Select Data Source step, set the required parameters and then click Next.

      gagaga

      Area

      Parameter

      Description

      Select Source Data

      Source Table

      Choose the data source for the registration indicator. It is advisable to use production data to prevent failures during production scheduling and operation updates. When selecting production data, ensure to include the project or data block prefix in the code to pass the validation of the specification when submitting a fact table without a primary key.

      For optimal results, it is advisable to use production data-data originating from non-development projects or data blocks-to prevent failures in operations or automatic dependency parsing during updates to production scheduling. When selecting production data, it is recommended to include the project or data block prefix in the code to ensure compliance with specifications and avoid validation failures when submitting a fact table that lacks a primary key.

      Statistical Granularity

      Ensure the statistical granularity's timeliness aligns with that of the logical aggregate table and is unchangeable. Map the primary key fields of the statistical granularity to the source table fields.

      Map the primary key fields corresponding to the statistic granularity to the source table fields.

      Data Domain And Aggregate Table

      Data Domain

      Select the appropriate data domain for the registration indicator.

      Aggregate Table

      The default aggregate table for adding registration indicators is the logical aggregate table, and this cannot be altered.

      Map the fields from the source table to the logical aggregate table and configure parameters such as the English name, Chinese name, atomic metric, statistical period, and business filter for the indicator.gagaga

    2. At the Complete Indicator Information step, enter the necessary details.

      gagaga

      Parameter

      Description

      Data Type

      Specify the data type for the registration indicator.

      Measurement Unit

      Choose the measurement unit for the registration indicator.

      Business Owner

      Identify the business owner of the registration indicator.

      Description

      Provide a concise description of the registration indicator.

  4. Once configuration is finalized, click Confirm to proceed.