Some devices are asynchronously storing values on a common remote MySQL database server.
I would like to write a supervisor app in Python (and possibly SQLAlchemy) to recognize the external INSERT events on the database and act upon the last rows' data. This is to avoid a long manual test to see if every table is being updated regularly or a logger crashed.
Can somebody just tell me where to search online this kind of info and, even better, an example?
EDIT
I already read all tables periodically using a datetime primary key ({date_time}), loading the last row of each table, and comparing to the previous values:
SELECT * FROM table ORDER BY date_time DESC LIMIT 1
but it looks very cumbersome and doesn't guarantee that I don't lose some rows between successive database checks.
The engine is an old version of INNODB that I cannot upgrade: I cannot use the UPDATE field in schema because it simply doesn't work.
To reword my question: How to listen any database event with a daemon-like Python application (sleeping thread) and wake up only when something happens?
I want also to avoid SQL triggers because this would be just too heavy to manage: tables are in hundreds and they are added/removed very often according to the active loggers.
I gave a look to SQLAlchemy but all reference I could find, if I don't misunderstood it, are decorators to act on INSERTs made by SQLAlchemy's itself. I didn't find anything about external changes to the database.
About the example request: I am not interested in a copy-and-paste, because first I want to understand how stuff works. I prefer (even incomplete) examples because SQLAlchemy documentation is far too deep for my knowledge and I simply cannot put the pieces together.
