no issue
- cleans up unused tables `emails.{meta,stats}`
- adds timestamp columns `email_recipients.{delivered_at,opened_at,failed_at}` that can be used for event timelines and basic stats aggregation
- indexed because we want to sort by these columns to find the "latest event" when limiting Mailgun events API requests
- adds aggregated stats columns `emails.{delivered_count,opened_count,failed_count}`
- adds a composite index on `email_recipients.[email_id,member_email]` to dramatically speed up `email_recipient` update queries when processing events
- modifies the db initialisation to support an `'@@INDEXES@@'` key in table schema definition for composite indexes
no issue
- tracking of bulk email opens can be enabled/disabled over time, if we're calculating analytics for emails we don't want emails which didn't have tracking enabled skewing the results so we need a record of whether tracking was enabled for each email
no-issue
This column will allow us to store the canonical recipient filter on the
email resource giving us a detailed log of which members an email was
intended for
requires https://github.com/TryGhost/Ghost/pull/12192
- added initial `EmailBatch` and `EmailRecipient` model definitions with defaults and relationships
- added missing `post` relationship function to email model
- fetch member list without bookshelf
- bookshelf can add around 3x overhead when fetching the members list for an email
- we don't need full members at this point, only having the data is fine
- if we need full models later on we can push the model hydration into background jobs where recipient batches are fetched ready for an email to be sent
- bookshelf model instantiation of many models blocks the event loop, using knex directly keeps concurrent requests fast
- adds `getFilteredCollectionQuery` method to base model to facilitate getting a knex query based on our normal model filters along with transaction/forUpdate applied
- store recipient list before sending email
- chunk already-fetched members list into batches and insert records into the `email_recipients` table via knex
- chunked into batches of 1000 to match the number of emails that Mailgun accepts in a single API request but this may not be the absolute fastest batch size for recipient insertion:
| Batch size | Batch time | Total time |
| ---------- | ---------- | ---------- |
| 500 | 20ms | 4142ms |
| 1000 | 50ms | 4651ms |
| 5000 | 170ms | 3540ms |
| 10000 | 370ms | 3684ms |
- create an email_batch record before inserting recipient rows so we can effeciently fetch recipients by batch and store the overall batch status
This reverts commit 80af56b530.
- reverting temporarily so that all associated functionality can be merged in a single release
- creating email batch/recipient records without using them would cause inconsistent data
requires https://github.com/TryGhost/Ghost/pull/12192
- added initial `EmailBatch` and `EmailRecipient` model definitions with defaults and relationships
- added missing `post` relationship function to email model
- fetch member list without bookshelf
- bookshelf can add around 3x overhead when fetching the members list for an email
- we don't need full members at this point, only having the data is fine
- if we need full models later on we can push the model hydration into background jobs where recipient batches are fetched ready for an email to be sent
- bookshelf model instantiation of many models blocks the event loop, using knex directly keeps concurrent requests fast
- store recipient list before sending email
- chunk already-fetched members list into batches and insert records into the `email_recipients` table via knex
- chunked into batches of 1000 to match the number of emails that Mailgun accepts in a single API request but this may not be the absolute fastest batch size for recipient insertion:
| Batch size | Batch time | Total time |
| ---------- | ---------- | ---------- |
| 500 | 20ms | 4142ms |
| 1000 | 50ms | 4651ms |
| 5000 | 170ms | 3540ms |
| 10000 | 370ms | 3684ms |
- create an email_batch record before inserting recipient rows so we can effeciently fetch recipients by batch and store the overall batch status
