#Query about cumulative data over time added out-of-order

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rose hound
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I need a projection which is used to store the total amount of money paid into an account, and the total amount withdrawn, over time. (NOT the balance, e.g. if 500 is pay in, and then 200 withdrawn, I'd want to know 500 was paid in, and 200 was taken out, not just the balance).

Each transaction is an aggregate document, and creating it raises a CreateTransactionEvent in Marten. I was thinking of a multistream projection that looks something like:

public InOutOverTime Create(IEvent<CreateTransactionEvent> @event, IQuerySession ops)
{
var totalMoneyIn = ops.Query<AccountTransaction>()
  .Where(x => x.Amount > 0)
  .Where(x => x.Date <= @event.Data.Date)
  .Sum(x => x.Amount);
var totalMoneyOut = ops.Query<AccountTransaction>()
  .Where(x => x.Amount < 0)
  .Where(x => x.Date <= @event.Data.Date)
  .Sum(x => x.Amount);

return new()
{
 Date = @event.Data.Date,
 Id = Guid.NewGuid(),
 TotalMoneyIn = @event.Data.Amount > 0 ? @event.Data.Amount + totalMoneyIn : 0,
 TotalMoneyOut = @event.Data.Amount < 0 ? @event.Data.Amount - totalMoneyIn : 0,
};
}

Which kinda works. However, in this particular case it is possible that a transaction can be added in the past. So given transactions like this:

2024-01-01 IN 500
2024-01-02 OUT 200
2024-01-05 IN 100

I'd want 3 InOutOverTime records like this:

2024-01-01, In: 500, out 0
2024-01-02, In: 500, out 200
2024-01-05, In: 600, out 200

If I then added a transaction 2024-01-03 OUT 100 the projection correctly creates this:
2024-01-03 IN: 500, out: 300 BUT I don't know how to specify that future projections need to be recalculated (e.g the 2024-01-05 row should update out to be 300).

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It all feels like I'm doing it wrong (new to ES), should I just be querying the underlying data and building the cumulative amounts on the fly? Or maybe handle outside event sourcing events (wolverine message) and re-generate the whole projection each time a transaction is added in the past? Am really liking Marten, so it's possible I am not picking the right tool for the job and just shoe-horning event sourcing in!

Thoughts?

pure jetty
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@rose hound I think that if you make the predictable identifier instead of guid, then it'd be much easier and you wouldn't need those advanced transformations.

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For instance acount-{month} or account-{otherperiod}

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Then you could be updating a specific document without the need for advanced filtering.

#

Thoughts?

rose hound
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Thank you Oskar! Yeah...I've been wondering if I made the wrong decision using guids!
I get what you are saying on the predictable IDs though, but not sure how it would help with the issue of updating future-dated projections though?
Appreciate you sharing your genius modelling skills!

pure jetty
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I'm not genius ๐Ÿ˜„

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I think that it would help in a way, that you could search for specific document for a period, and if you keep all transactions as inner collection then you could append it internally

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So the stucture would me something like:

record DailyTransactionSummary(DateTimeOffset Date, decimal TotalMoneyIn, decimal TotalMoneyOut);
record AccountingPeriod(string Id, DateTimeOffset From, DateTimeOffset To, List<Transaction> Transactions)
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Then you could search for the specific AccountingPeriod and update specific DailyTransactionSummary

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I think that it shows a similar scenario.

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Thoughts?

rose hound
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Hmm I think I see! Thank you. Interesting reading anyway. I will have a further play with this - good to internalise that a complicated projection probably means I'm doing something wrong!

Time to see how hard it is to switch from guids to string IDs ๐Ÿ˜€ (fortunately, worst case scenario, I can delete the data and recreate relatively easily)

pure jetty
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Keep me posted, Iโ€™m curious how will it go ๐Ÿ™‚

rose hound
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Will do, may be a while due to it being a low priority side thing currently, but I will let you know when I look at this bit!
Appreciate your help though - am really enjoying marten.

pure jetty
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Appreciate your help though - am really enjoying marten.
Happy to read that ๐Ÿ™‚

rose hound
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Hey @pure jetty , sorry for not updating this earlier. Decided against any projection magic in the end, and used some funky postgres windowing function to query it directly. Volume of data means it is fine for now anyway. Thanks for your ideas though - I have changed to using string IDs for events/streams now, so was worthwhile.
(https://popsql.com/learn-sql/postgresql/how-to-calculate-cumulative-sum-running-total-in-postgresql if you are interested!)

PopSQL

Learn how to generate a cumulative sum or running total in PostgreSQL using common table expressions (CTEs) and window functions. Explore step-by-step instructions to create insightful hockey stick graphs that display cumulative user sign-ups by day, providing valuable insights for data analysis.