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    <title>Smartchart开发手册</title>
    <link>https://help.smartchart.cn/en/docs/2.Datasets/</link>
    <description>Recent content on Smartchart开发手册</description>
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      <title></title>
      <link>https://help.smartchart.cn/en/docs/2.Datasets/DatasetEditor/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://help.smartchart.cn/en/docs/2.Datasets/DatasetEditor/</guid>
      <description>Introduction # The dataset development interface is SmartChart&amp;rsquo;s core data preparation entry point, providing visual dataset creation, SQL editing, data source configuration, and resource upload capabilities. Watch the video before starting to understand the basic workflow.
Feature Description New Dataset Click &amp;ldquo;Dataset&amp;rdquo; in the dashboard index menu SQL Editor Supports multi-segment queries, semicolons separate datasets Resource Upload Upload JAR/CSS/JS resources in template editor Watch the video before development to understand the basics.</description>
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      <title>SQL Dataset</title>
      <link>https://help.smartchart.cn/en/docs/2.Datasets/SQLDataset/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://help.smartchart.cn/en/docs/2.Datasets/SQLDataset/</guid>
      <description>Introduction # SQL datasets are the most widely used dataset type in SmartChart. Simply write SQL in the development interface. The system caches query results and intelligently converts them to chart-friendly format (2D array with headers).
Overview # The most commonly used datasets are SQL datasets A standard dataset can be imagined as an Excel-like 2D table with rows and columns Just write SQL in the dataset development interface See &amp;ldquo;Special Data Sources&amp;rdquo; for more dataset types See &amp;ldquo;Parameters &amp;amp; Linkage&amp;rdquo; chapter for dynamic parameter datasets Dataset Output Format # SmartChart datasets are uniformly passed to the chart as 2D arrays with headers:</description>
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      <title></title>
      <link>https://help.smartchart.cn/en/docs/2.Datasets/DatasetRefresh/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://help.smartchart.cn/en/docs/2.Datasets/DatasetRefresh/</guid>
      <description>Introduction # SmartChart provides a two-level data refresh mechanism: frontend scheduled refresh (browser periodically requests backend) and backend cache acceleration (database queried once, then cache hits). Proper configuration of both ensures data real-time performance while greatly reducing database pressure.
Data Refresh Configuration # SmartChart provides fine-grained data refresh and memory acceleration features. You can configure in the dataset development interface menu: Connection icon -&amp;gt; Refresh Settings Scheduled Refresh # You can set the interval for the frontend to request data refresh from the backend, in seconds.</description>
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      <title>Scheduled Tasks</title>
      <link>https://help.smartchart.cn/en/docs/2.Datasets/ScheduledTasks/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://help.smartchart.cn/en/docs/2.Datasets/ScheduledTasks/</guid>
      <description>Introduction # SmartChart supports two scheduled task modes: Pro edition scheduled tasks (dataset-triggered, suitable for small to medium tasks) and Platform edition scheduled tasks (built-in full scheduling engine, suitable for complex ETL and enterprise scenarios). Scheduled tasks enable automated metric refresh, data extraction, message push, etc.
Use Cases # Need scheduled metric refresh Data extraction ETL Scheduled message push triggers Pro Edition Scheduled Tasks # You can write tasks in datasets (SQL, Python, message notifications, etc.</description>
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