100 words are like long counters

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100 words are like long counters
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caching – Store counters in Redis while minimizing potential data loss

For the application I'm working on, I need to create a counter that shows how many times each content has been displayed.

There are two goals here:

  1. Update the counter in real time
  2. Minimize load on MySQL

Right now, we're creating a cache key in Redis for every content that contains the number of views. When a view event occurs, we increase the number of views. If there is no value in the key when reading or writing, we calculate the count of all views with a separate data source (Influxdb).

The problem is that our existing approach is no longer feasible as we are re-structuring our InfluxDB data. It is no longer enough to calculate the number of times for a chart of influx data, for reasons that I will not go into here (just ask).

Basically, we have no way to calculate the number of time views from scratch. We have to rely on the existing meter values ​​and only increase them (never recalculate).

I have the following idea:

  1. Calculate all views of all content and save them in MySQL (this can be done once to sow the data).
  2. When a read / write is performed for the first time, look in MySQL and save it in Redis
  3. Increase the count at Redis each time you write
  4. In a background job, refresh the number of views in the MySQL database about once per hour with the data in Redis.

This results in a maximum of one hour of data loss if Redis drops all keys for a minute 59 before the background job runs.

Is this approach useful? If there is a better way to do it?

to edit

Now that I think a little bit more about it, the concept of a background job that updates all the maps is a bit problematic. If millions of keys are cached, how is the application supposed to know what activity existed and what redis values ​​were copied to MySQL?

So I think there may be a special key in Redis that stores a queue of all card IDs that have been updated. Then the background job can see the unique map IDs in this list and request only that data for the update.