[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-09-04 (世界標準時間)。"],[],[],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"]]
