从已汇总的数据集(例如 Google Ads 或 Google Analytics [分析])中提取数据,会创建新的细分数据集。因此,与标准数据源相比,在提取的数据源中执行自己的汇总操作更灵活。例如,在标准 Google Analytics 数据源中,“用户数”指标设为“自动汇总”,这意味着您无法更改该指标。在提取的 Google Analytics 数据源中,您可以随意应用任何可用的汇总类型。这有助于您探索数据的不同解读,而使用标准(已汇总)数据源的报告无法做到这一点。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-25。"],[],[],null,["# Extract data for faster performance\n\nData extract lets you explore a subset of your data. This can make your reports and explorations load faster and be more responsive when applying filters and date ranges than when working with a live connection to your data.\n\nHow extracting data works\n-------------------------\n\nWhen you extract data, you select an existing data source of any type, then select the specific fields you want to include in the *extracted data source*. You can apply filters and date ranges to reduce the amount of data even further. You can then use the extracted data source in your reports and explorations, just as you would a standard, live connection data source.\n\n### Extracted data and aggregation\n\nExtracting data from an already aggregated dataset, such as Google Ads or Analytics, creates a new, disaggregated dataset. This makes performing your own aggregation in extracted data sources more flexible than standard data sources. For example, in a standard Analytics data source, the *Users* metric is set to Auto aggregation, meaning you can't change it. In an extracted Analytics data source, you are free to apply any of the available aggregation types. This can help you explore different interpretations of your data than is possible in reports using a standard (already aggregated) data source.\n\nCreate an extracted data source\n-------------------------------\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n2. On the Looker Studio home page, in the top left, click **Create** , and then select **Data Source**.\n3. In the connectors list, select **Extract Data.**\n4. Select an existing data source to extract from.\n5. Select the dimensions and metrics to extract by dragging them from the Available Fields list onto the targets, or by clicking **Add**. All the fields you add appear in the list on the far right.\n6. (Optional) If the data is unaggregated, consider applying an aggregation, such as `Sum`, or `Average`, to reduce the amount of data extracted.\n7. (Optional) Apply filters to the data in order to reduce the number of rows.\n8. Apply a date range. Date ranges are required by some connectors, such as Analytics, but are optional for other connector types.\n9. Give your data source a name by clicking **Untitled Data Source** in the upper left.\n10. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n11. In the lower right, click **SAVE AND EXTRACT**.\n\nYou can now add this data source to a report or exploration by clicking one of the buttons in the upper right.\n\nUpdate extracted data\n---------------------\n\nTo update the information contained in a data extract, turn on \"Auto update\" or edit the data source connection and extract the data again:\n\n1. [Sign in to Looker Studio.](https://lookerstudio.google.com)\n\n2. Navigate to the [DATA SOURCES Home](https://lookerstudio.google.com/navigation/datasources) page.\n\n3. Locate the extracted data source.\n\n4. Click the data source to edit it.\n\n5. In the upper left, click **EDIT CONNECTION**. You must be the data source owner to see this option.\n\n6. (Optional) To automatically refresh your data, in the lower right, turn on **Auto update** and set an update schedule.\n\n7. In the lower right, click **SAVE AND EXTRACT**.\n\nDelete your extracted data\n--------------------------\n\nDeleting an extracted data source also deletes its data from Google servers.\n\nLimits of data extract\n----------------------\n\n- Extracted data sources can contain up to 100 MB of data. If your extract contains more than 100 MB of data, Looker Studio will fail to extract and will display an error message.\n- Extracted data sources contain static information: to refresh or update the data, turn on Auto update and set an update schedule."]]