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Growth Analysis (Privatization)

Growth Analysis (Privatization)

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Analysis Tool
Metrics Output: Solidified Storage Event Analysis Data
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Metrics Output: Solidified Storage Event Analysis Data

If you use BytePlus' DataFinder, ABI (Datawind), CDP (Mirror) and other analytical platform products at the same time, you can perform secondary processing analysis on the user behavior data queried and analyzed on the DataFinder, and save the analysis data to ABI for further data processing. This article describes the detailed operation of saving data to the ABI.

Background information

The index analysis function can synchronize the event analysis indicators on the Finder side to the ClickHouse through the offline data synchronization task, and store it as a partition table partitioned by the data date and time. ABI can read the data sources stored in the ClickHouse, and perform secondary analysis on the event analysis data of the Finder.

Limitations and Precautions
  • The metric output function is a paid function. If you want to use this function, you can contact your technical support staff to activate it. After opening, the following fees will be involved:
    • Function fee: This function is a paid function, and a function fee will be charged, which is reflected in ABI's function fee bill.
    • Storage costs: Metric output saves analytical data to ClickHouse and consumes ClickHouse of storage resources.
  • Currently, only saving DataFinder's analysis data to ABI is supported, that is, only scenarios where DataFinder is used in combination with ABI are supported.
  • Currently only sky-level analysis result data of event analysis , and when the data is not subdivided and filtered , it supports saving to ABI.
  • If the amount of saved data is too large, the server's resources may not be sufficient, which may cause the offline synchronization task to fail.

Operation steps
  1. Perform event analysis of sky-level user behavior data, the summary operation is as follows, see the Event Analysisdocument for details.

    1. After logging in and entering the DataFinder console page, click Analysis Tools > Advanced Analysis > Event Analysis at the top to enter the Event Analysis page.
    2. After configuring metrics, groupings, and other parameters, click Query to view the data analytics chart for the sky level.
  2. Configure the metric output task details in the pop-up sidebar page by clicking metric output in the upper right corner.

    Parameter

    Parameter description

    Data name

    Customize the name of the saved data to identify the saved data.

    Offline tasks & offline time

    According to the needs of data preservation, choose whether to export and save the data within a historical time range at one time, or to export and save the daily data to different partition tables in the future, and configure the time of the corresponding task according to the type of task exported offline.

    • Single export : Offline single task will export all the data in the time range through one offline export task, store the data in each day partition, and export up to 30 days of data volume.
    • Daily export : You need to configure the end date of the export task for daily export (up to 365 days are selected). The daily export offline timed task starts today and stops on the end date. From the start date to the end date, an offline synchronization task will be initiated every day to synchronize the data of the day and store it in the partition of the corresponding date.

    warning

    After the offline export task configuration is completed, when subsequent data synchronization is performed, after the early data is ready (that is, the data to be synchronized has been reported and analyzed), the offline task will be automatically triggered to start data synchronization.

    This synchronization indicator information

    The system will automatically generate a event_date field for you, which is a time partition field for subsequent storage of data without modification; you can configure the indicator information that needs to be synchronized by offline tasks that modify the output of this indicator.

    • Table field name & table field meaning: When configuring the subsequent storage to the ClickHouse partition table, the table field name and field meaning corresponding to the indicator storage need to be unique and not repeatable.
    • Indicator Name & Indicator Display Name: Configure the indicator name and indicator display name. The indicator name here needs to ensure that it is unique in the indicator management of metadata management and cannot be duplicated.
  3. After completing the above configuration, you can click Save or Save and jump to Management to save the configured offline export task to the Data Management > Data Open > Data Processing page.
    Image

Next steps

You can also find the offline export task on the corresponding data processing page in the future to view the export details of the data export task. See activity details for the data processing page Data Processing.

Last updated: 2026.08.25 11:40:49