Conversational Analytics API 在数据源数量、可视化图表样式和数据集大小方面存在以下已知限制。
数据源数量
您一次可以查询 1 个 Looker 探索。
Conversational Analytics API 为 BigQuery 中处理的数据查询设置了 500 GB 字节的限额。
可视化
以下可视化图表类型完全受支持：折线图、面积图、条形图（水平、垂直、堆叠）、散点图、饼图
以下可视化图表类型仅部分受支持，可能会出现意外行为：地图、热图以及带有提示的图表
数据大小
对于 Looker 数据源，Conversational Analytics API 每次查询最多可返回 5,000 行。
Conversational Analytics API 基于 Python 的推理和内容检索功能可处理最多 O(100k) 行的时间复杂度。
查询限制
不支持 BigQuery 的灵活列名称功能。
支持 BigQuery 中的结构体，但相关操作某些情况下可能会失败。
对于 Looker 数据源，该 API 无法设置使用 LookML parameter 参数定义的只有过滤条件的字段的值。
如果 Looker (Google Cloud Core) 实例位于 VPC Service Controls 边界内，则不支持使用 Looker Studio Pro 通过 Conversational Analytics API 连接到专用 IP Looker (Google Cloud Core) 实例，而且这样做也不符合 VPC Service Controls 合规性要求。
[[["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)：2025-09-05。"],[],[],null,["# Conversational Analytics API known limitations\n\n| This product or feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA products and features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nConversational Analytics API has the following known limitations on the number of data sources, style of visualizations, and size of datasets.\n\nNumber of data sources\n----------------------\n\n- You can query **1** Looker Explore at a time.\n- The Conversational Analytics API limits data queries to 500 GB of bytes processed in BigQuery.\n\nVisualizations\n--------------\n\n- These visualization types are fully supported: Line chart, area chart, bar (horizontal, vertical, stacked) chart, scatterplots, pie chart\n- These visualization types are partially supported and may exhibit unexpected behavior: Maps, heatmaps, charts with tooltips\n\nData size\n---------\n\n- For Looker data sources, the Conversational Analytics API can return a maximum of **5,000 rows** per query.\n- The Conversational Analytics API's Python-based reasoning and content retrieval capabilities can accommodate time complexities of up to `O(100k)` rows.\n\nQuery limitations\n-----------------\n\n- BigQuery's flexible column names feature is not supported.\n- Structs in BigQuery are supported but may sometimes fail.\n- For Looker data sources, the API cannot set the value of a filter-only field that is defined by using the LookML `parameter` parameter.\n- Using the Conversational Analytics API to connect to a private IP Looker (Google Cloud core) instance using Looker Studio Pro when that Looker (Google Cloud core) instance is inside a VPC Service Controls perimeter is not a supported configuration and does not meet VPC Service Controls compliance requirements.\n- For connections to [Looker (Google Cloud core) instances with private IP configurations](/looker/docs/looker-core-networking-options#private_ip_connections), Conversational Analytics API does not support Looker (Google Cloud core) instances that are configured to use [CMEK](/looker/docs/looker-core-cmek) or VPC Service Controls.\n- Conversational Analytics API doesn't work well with Looker Studio data sources that have [field editing in reports](/looker/docs/studio/edit-fields-in-your-reports) disabled in because this setting prevents Conversational Analytics from creating calculated fields.\n\nQuestion types limitations\n--------------------------\n\n- Conversational Analytics API supports questions that can be answered by a single visualization, for example:\n\n - Metric trends over time\n - Breakdown or distribution of a metric by dimension\n - Unique values for one or more dimensions\n - Single metric values\n - The top dimension values by metric\n- Conversational Analytics API doesn't yet support questions that can only be answered with the following types of complicated visualizations:\n\n - Prediction and forecasting\n - Advanced statistical analysis, including correlation and anomaly detection"]]
