Cash matching
This is a cash matching problem. You can track this at one of two levels:
Compare invoiced to cash figures (somewhat sloppy but this is actually how it's done for inwards business by most Lloyd's Syndicates, often called a 'written vs. signed' report).
Maintain explicit cash allocations from cash payments broken down by invoice.
From your question I think you want to do the latter.
Typically this is done by having a separate set of cash transactions, and a bridging table that has the allocation of cash payments to invoices. If the values are equal or the cash payment comes with a single invoice reference you can do the allocation automatically. If there's a M:M relationship between invoices and payments you will need to do a manual matching process (doing this automatically is actually a variant of the knapsack problem).
A basic cash matching system
Imagine that you have an invoice table, a cash payments table and an allocation table. When you issue an invoice then you set up an invoice record in the invoices table and a 'receivable' or 'payable' record in the allocations table.
Now, you get a cash payment of $100
Cash payments (chq #12345): $100
Allocation: a record with a reference to invoice #1 and chq #12345, 'cash' transaction type and -100 owing ($100 paid).
You can generalise this to a M:M relationship where you get multiple payments against a single invoice or a payment covering multiple invoices. This structure also makes it quite easy to build credit control reports. The report just needs to find invoices older than (say) 180 days that still have outstanding balances.
Here's an example of the schema plus a couple of scenarios and an aged debt query. Unfortunately I don't have a running mysql instance to hand, so this one is for SQL Server.
-- ==============================================================
-- === CashMatch.sql ============================================
-- ==============================================================
--
-- === Invoices =================================================
--
create table Invoice (
InvoiceID int identity (1,1) not null
,InvoiceRef varchar (20)
,Amount money
,InvoiceDate datetime
)
go
alter table Invoice
add constraint PK_Invoice
primary key nonclustered (InvoiceID)
go
-- === Cash Payments ============================================
--
create table CashPayment (
CashPaymentID int identity (1,1) not null
,CashPaymentRef varchar (20)
,Amount money
,PaidDate datetime
)
go
alter table CashPayment
add constraint PK_CashPayment
primary key nonclustered (CashPaymentID)
go
-- === Allocations ==============================================
--
create table Allocation (
AllocationID int identity (1,1) not null
,CashPaymentID int -- Note that some records are not
,InvoiceID int -- on one side.
,AllocatedAmount money
,AllocationType varchar (20)
,TransactionDate datetime
)
go
alter table Allocation
add constraint PK_Allocation
primary key nonclustered (AllocationID)
go
-- ==============================================================
-- === Scenarios ================================================
-- ==============================================================
--
declare @Invoice1ID int
,@Invoice2ID int
,@PaymentID int
-- === Raise a new invoice ======================================
--
insert Invoice (InvoiceRef, Amount, InvoiceDate)
values ('001', 100, '2012-01-01')
set @Invoice1ID = @@identity
insert Allocation (
InvoiceID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice1ID, 100, '2012-01-01', 'receivable')
-- === Receive a payment ========================================
--
insert CashPayment (CashPaymentRef, Amount, PaidDate)
values ('12345', 100, getdate())
set @PaymentID = @@identity
insert Allocation (
InvoiceID
,CashPaymentID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice1ID, @PaymentID, -100, getdate(), 'paid')
-- === Raise two invoices =======================================
--
insert Invoice (InvoiceRef, Amount, InvoiceDate)
values ('002', 75, '2012-01-01')
set @Invoice1ID = @@identity
insert Allocation (
InvoiceID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice1ID, 75, '2012-01-01', 'receivable')
insert Invoice (InvoiceRef, Amount, InvoiceDate)
values ('003', 75, '2012-01-01')
set @Invoice2ID = @@identity
insert Allocation (
InvoiceID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice2ID, 75, '2012-01-01', 'receivable')
-- === Receive a payment ========================================
-- The payment covers one invoice in full and part of the other.
--
insert CashPayment (CashPaymentRef, Amount, PaidDate)
values ('23456', 120, getdate())
set @PaymentID = @@identity
insert Allocation (
InvoiceID
,CashPaymentID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice1ID, @PaymentID, -75, getdate(), 'paid')
insert Allocation (
InvoiceID
,CashPaymentID
,AllocatedAmount
,TransactionDate
,AllocationType
) values (@Invoice2ID, @PaymentID, -45, getdate(), 'paid')
-- === Aged debt report ========================================
--
select i.InvoiceRef
,sum (a.AllocatedAmount) as Owing
,datediff (dd, i.InvoiceDate, getdate()) as Age
from Invoice i
join Allocation a
on a.InvoiceID = i.InvoiceID
group by i.InvoiceRef
,datediff (dd, i.InvoiceDate, getdate())
having sum (a.AllocatedAmount) > 0
Best Answer
My first encounter with "using MySQL as a queue" ended in disaster. The team was very wedded to tossing things into a table, then pulling it out to work on. They were limited to how many things the could achieve per hour.
After studying not only the queuing mechanism but the enqueue and dequeue API and the worker threads, I decided on:
I estimated (for their case) that they could increase the throughput 10-fold by removing the queue.
Here are some random lessons:
AUTO_INCREMENT
for queuing with replication adds a complication because theids
don't always arrive in the Slave in order! This happens randomly (but not very frequently) with InnoDB.An alternative (that may or may not apply to your situation): Leave information around and have a continuously running job (not a cron) that looks for the info and acts on it. This can be handy if the items arrive rapidly and they can be processed in batches.