# 通过电子邮件在报告中回复

**URL:** https://meta.discourse.org/t/replies-via-email-in-reports/160841
**Category:** Feature
**Created:** [2020 年8 月 14 日 09:04 UTC](https://meta.discourse.org/t/replies-via-email-in-reports/160841 "2020-08-14T09:04:02Z")
**Posts on this page:** 1
**Showing post:** 2

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### Author: ![T\_Disco](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/t_disco/32/455171_2.png) [@T\_Disco](https://meta.discourse.org/u/T_Disco)
#### Post date: [2024 年10 月 17 日 13:16 UTC](https://meta.discourse.org/t/replies-via-email-in-reports/160841/2 "2024-10-17T13:16:49Z")

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您好，Zdravko，

这或许对您有用？

> [@Email statistics](https://meta.discourse.org/t/email-statistics/52478):
>
> I run into 100k / mo emails limit of a free SparkPost account. To better understand what type of email exactly I have to tackle, I had to write an SQL query which calculates email statistics by email type. Sharing it with the community. Example result: SQL query -- [params] -- string :date\_interval = 1 month WITH stats AS ( SELECT email\_type, COUNT(id) as num FROM email\_logs WHERE created\_at \>= CURRENT\_TIMESTAMP - interval :date\_interval GROUP BY email\_type ) SELEC…

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