Google Calendar API:“后端错误"；代码503 [英] Google Calendar API : "Backend Error" code 503

问题描述

当我使用Google日历API创建新的日历时，我随机收到后端错误".你知道为什么吗?您是否经历过相同的行为?

When I use the Google calendar API to create a new Calendar, I randomly get "Backend Error". Do you have any idea why ? Have you experienced the same behavior ?

第一个请求:

POST https://www.googleapis.com/calendar/v3/calendars 授权: 承载ya29.UQEd-xxx 内容类型:application/json; charset = utf-8

POST https://www.googleapis.com/calendar/v3/calendars Authorization: Bearer ya29.UQEd-xxx Content-Type: application/json; charset=utf-8

{摘要":我的新日历名称"}

{"summary":"My new calendar name"}

Google回答(大约20秒后):

Google answer (around 20 seconds later):

{错误":{错误":[{域":全局"，原因": "backendError"，"message":后端错误"}]代码":503，"message": 后端错误"}}

{ "error": { "errors": [ { "domain": "global", "reason": "backendError", "message": "Backend Error" } ] "code": 503, "message": "Backend Error" } }

未创建日历

另一个请求:

POST https://www.googleapis.com/calendar/v3/calendars 授权: 承载ya29.UQEd-yyy 内容类型:application/json; charset = utf-8

POST https://www.googleapis.com/calendar/v3/calendars Authorization: Bearer ya29.UQEd-yyy Content-Type: application/json; charset=utf-8

{摘要":我的新日历名称"}

{"summary":"My new calendar name"}

Google回答(约5秒后):200 日历已创建

Google answer (around 5 seconds later) : 200 The calendar is created

推荐答案

503服务不可用
该服务器当前不可用(因为它已超载或已关闭以进行维护).通常，这是一个临时状态.

503 Service Unavailable
The server is currently unavailable (because it is overloaded or down for maintenance). Generally, this is a temporary state.

503是有时会发生的标准HTTP错误. Google ops可能在某处有一个图形，显示了错误的发生频率，并且根据其优先级可能正在努力解决该错误.您应该抓住错误，并给人类提供重试或实施指数补偿的机会.

503 is a standard HTTP error that happens sometimes. Google ops probably has a graph somewhere showing the frequency of the errors and depending on their priorities may be working to fix it. You should catch the error and either give a human the chance to retry or implement exponential backoff.

Google Apps日历资源API限制和配额
对于所有基于时间的错误(每个线程最多N个事物，每个线程N秒)，尤其是503状态代码错误，我们建议您的代码捕获异常，并使用

Google Apps Calendar Resource API Limits and Quotas
For all errors that are time based (maximum of N things for N seconds per thread), especially the 503 status code errors, we recommend your code catch the exception and, using an exponential backoff algorithm, wait for a small delay before retrying the failed call.

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