[[["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)：2025-09-04。"],[],[],null,["# Connect to Google Cloud Spanner\n\nThe Cloud Spanner connector lets you access data from Google Cloud Spanner within Looker Studio. Cloud Spanner is an enterprise-grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with non-relational horizontal scale.\n\nCloud Spanner is a paid service. [Learn more about pricing](https://cloud.google.com/spanner/pricing).\n\nHow to connect to Google Cloud Spanner\n--------------------------------------\n\nA Looker Studio data source can connect to Cloud Spanner databases using [Google Standard SQL query syntax](/spanner/docs/query-syntax).\n\n### To connect\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. Select the **Cloud Spanner** connector.\n4. If asked, authorize Looker Studio to access your data.\n5. On the left, set up the connection to your database. You'll need to provide:\n 1. Project ID\n 2. Instance ID (see the *Notes* section to find out how to list your instance configurations).\n 3. Database ID\n6. In the text field, enter your SQL query.\n7. In the upper right, click **CONNECT**.\n\nIn a moment, the data source fields list page appears. Click **CREATE REPORT** to start visualizing your data.\n\nNotes\n-----\n\n### List instance configurations\n\nThe [Cloud SDK](https://cloud.google.com/sdk) command-line tool lets you interact with Cloud Spanner. For example, the following command lists the regional and multi-region instance configurations that are available for your project: \n\n\n gcloud spanner instance-configs list\n\nRegional configurations distribute data in a single region, while multi-region configurations distribute data geographically across multiple regions. Learn more about [Instances](/spanner/docs/instances).\n\n### Data types\n\nLooker Studio maps your database's built-in data types to a unified set of [data types](/looker/docs/studio/data-types). If Looker Studio encounters a column in your table or query of an unsupported type, it won't create a field for that column.\n\nLimits of the Spanner connector\n-------------------------------\n\n- The response size from Spanner is limited to 10 MB. See the [Spanner Limits article](https://cloud.google.com/spanner/quotas) for other limits.\n- Column headers (field names) must use ASCII characters only. Non-ASCII characters aren't supported.\n\nTroubleshooting\n---------------\n\nSee the [Looker Studio troubleshooting guide](/looker/docs/studio/troubleshooting-guide) for a list of common error messages and steps to resolve them.\n\nRelated resources\n-----------------\n\n- [Create a data source](/looker/docs/studio/add-data-to-a-report)\n- [Google Cloud Platform overview](https://cloud.google.com/docs/overview/)"]]
Create（创建），然后选择 Data Source（数据源）。