YouTube分析工具-其他指标和维度的配额影响 [英] YouTube Analytics - Quota impact of additional metrics and dimensions

问题描述

Youtube Analytics API文档概述了随着查询中指标和维度数量的增加，每个API查询的成本如何增加，但是它含糊不清(例如，正常，较高，非常高).有谁知道这些准则所隐含的硬数字是什么?

The Youtube Analytics API Doc outlines how the cost per API query goes up as the number of metrics and dimensions in the query increases, but it's rather vague (e.g. normal, high, very high). Has anyone know what the hard numbers are that are implied by these guidelines?

有关配额成本的YouTube Analytics(分析)API文档

我一直在尝试通过自己的测试确定这一点，但是如果有人可以提供一些实际数字，或者找到了有关该主题的详细文档，那将是很大的帮助. 谢谢， 克里斯(Kris)

I've been trying to determine this through my own testing, but if anyone can provide some actual numbers, or has found detailed doc on the subject, it would be a big help. Thanks, Kris

推荐答案

不幸的是，我们目前没有更详细地介绍，因为我们希望保留灵活性，以便在了解使用模式时调整成本.喜欢.

Unfortunately, we don't currently go into greater detail, as we'd like to retain the flexibility to adjust cost moving forward as we see what usage patterns are like.

您是否确实遇到了YouTube Analytics API的配额问题，或者您只是好奇?

Are you actually running into quota issues with the YouTube Analytics API, or are you just curious?

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