Evaluation of DApp (Smart Contract) storage concept with IPFS - ethereum

i hope you can help me improve or validate my storage concept. I am glad for each suggestion. Since this is my first DApp, i might not consider all possible options for my problem.
To understand the Background:
I plan to realize a DApp (based on Ethereum) that compares prices and search the cheapest price for a product in an certain area. The product itself is homogeneous, only the price matters.
To keep it simple: Its a complicated product, it takes several days for the supplier to confirm an order and several month to deliver the product. The prices for the product are volatile, so there is a possible incentive for suppliers to cheat, meaning that they offer a low price in the beginning and demanding a higher price when they confirm the order a couple of days later.
The reason why i want to use the blockchain is transparancy and tracebility for the customer. So the customer should be able to easily validate, that the price that is suggested by the DApp is really the cheapest one in his area. Furthermore the Customer need to proof, that the supplier really offered a certain price at a certain time and cant claim a higher price later in the order confirmation.
So the interaction with the blockchain need to deliver two things:
a. Evidence that the result is really the cheapest price in his area
b. That the supplier itself offered the suggested price at this time.
Here are my thoughts and solutions so far:
The easiest and most transparent way would be one huge smart
contract with all the data (prices, areas, suppliers) stored inside.
The suppliers would update the prices in the smart contract with
transactions.
a. The customer could simply check the smart contract
attributes to validate the lowest price suggestion of the DApp.
b. The customer can proof the origin of the price through the
transaction history of the contract.
Since data storage is extremely expensive on the blockchain, the interaction with this contract is not really an option. Updates of prices are very expensive because of the amount of data that is shoveled around (I tried it already😊). Instead the storage on the Blockchain for each supplier should be smaller, but still have the same transparency. I thought about using IPFS as datastorage and just store the Hash, but IPFS itself does not really proof anything because its mutable. So the important data need to be on the Blockchain, at least for my understanding, maybe you have a better idea?
So this is my last idea where I ask your help for. I tried to draw it in a use-case class model mix, I hope it becomes more clear this way.
Unfortunately you have to download it, because i dont have enough reputation
https://imgur.com/oE4cQtv
Each supplier has its own contract (Supplier). The suppliers update the prices within their contract through transactions. Each contract supplier references to the same IPFS datastorage. The Datastorage just contains a list of all supplier smart contracts (adresses).
The Smart Contract HashStore just contains the IPFS Hash to this list.
To get the lowest price, I will in javascript (Class Price Search) simply read the Hash out of the Smart Contract HashStore. Then I will access the datastorage on IPFS and get all the addresses. I don’t use the prices stored on IPFS. Instead I loop through the addresses and call each time the GetData Method of each smart contract Supplier. After I collected all prices I simply choose the cheapest one.
a. The customer could check the datastorage on IPFS for an Overview of all prices. Since I read the price directly out of the Smart Contract, there is nothing to win for the supplier to manipulate the IPFS Table.
b. The Customer can easily check each supplier and its transaction history through the individual smart contract. So he can easily proof price changes.
I think this solution might work, but i still feel that I miss a part. Maybe Swarm offers some options I don’t know? Or there are some cool functions in Solidity I am not aware to handle this problem?
Thanks for your help!!!

Related

Should you scale through tables or computation in Mysql?

I have a project with customers buying a product with platform based tokens. I have a mysql table that tracks a customer buying x amount and one tracking customer consumption(-x amount). In order to display their Amount of tokens they have left on the platform and query funds left on spending I wanted to query (buys - comsumed). But I remembered that people alsways talk about space is cheaper than computation(Not just $ but querytime as well). Should I have a seperate table for querying amount that gets updated with each buy or consume ?
So far I have always tried to use the least amount of tables to make it simple and have easy oversight, but I start to question if that is right...
There is no right answer, keep in mind the goal of the application, and updates in software likely to happen.
If you keep in these 2 tables transactions the user may have, then the new column was necessary, cause you had to sum the columns. If one row is for one user (likely your case), then 90% you should use those 2 tables only.
I would suggest you not have that extra column. As far with my expierence, in that kind of situations has the down of the bigger the project becomes, the more difficult is for you and the other developers, to have in mind to update the new column, because is dependent variable.
Also, when the user buy products or consumption tokens, you will have to update the new token, so energy and time loss as well.
You can store the (buys - consumed) in session, and update when is needed(if real time update is not necessary, not multiple devices).
If you need continuous update, so multiple queries over time, then memory loss over energy-time loss is greater, so you should have that 3 table - column.

What is the difference between storing the changing value in fact vs dimension?

I have customer dimension table and the location of customer can change.
The customerid filters the sales fact table.
I have 2 options:
Slowly changing dimension type 2 to hold 1 new record for each customer's location changes
Or
Store the location at the time of data load into the sales fact table.
Both ways allow me to see sales by location (although it's a customer location, the etl will place it on fact table).
The later option saves me from implementing SCD on dim table.
What are factors to decide which of the 2 approaches is suitable?
Your fact table should contain things that we measure, count, total. Your dimensions should be descriptive elements that allow users to slice their data along an axis - basically answer the "by" part of their request
I want to see total sales by year and month across this customer based regional hierarchy
Don't take my word for it, grab a data warehousing book or go read the freely available information from the Kimball Group
Storing the customer data on the fact is a bad idea regardless of your database engine. To satisfy a query like the above, the storage engine needs to read in the entirety of your fact table and the supporting dimensions. It could read (Date, RegionId, CustomerId, SalesAmount) which likely costs something like 16 bytes per row times however many rows you have. Or, it can read (Date, RegionId, CustomerName, CustomerAddress, CustomerCity, CustomerState, CustomerPostalCode, SalesAmount) at a cost of what, 70 bytes per row? That's an inflation to
store your data (disk is cheap but that's not the point)
read your data (basic physics, the more data you wrote to disk, the longer it takes to read it back out)
less available memory for other queries (you're in a multi-user/query environment, when you hog resources, there's less for others)
write data (ETL processing is going to take longer because you have to write more pages to disk than you should have)
inability to optimize (What if the business just wants to see "Total Sales by Year and Month" - no customer hierarchy. The database engine will still have to read all the pages with all that useless customer data just to get at the things the user actually wanted)
Finally, the most important takeaway from the Data Warehouse Toolkit is on like page 1. The biggest reason that Data Warehouse projects fails is that IT drives the requirements and it sounds like you're thinking of doing that to avoid creating a SCD type 2 dimension. If the business problem you're attempting to solve is that they need to be able to see sales data associated to the customer data at the point of time it happened, you have a Type 2 customer dimension.
Yes, technologies like Columnstore Compression can reduce the amount of storage required but it's not free because now you're adding workload to the cpu. Maybe you have it, maybe you don't. Or, you model it correctly and then do the compression as well and you still come out ahead in a proper dimensional model.
How you model location depends on what it relates to. If it is an attribute of a sale then it belongs as its own dim related to the sale. If it is an attribute of a customer (such as their home address) then it belongs in the customer dim. If the location is an attribute of both a sale and a customer then it belongs in both

How to design a relational model for double-entry accounting with job costing

I would like to commend to readers the answers here and here for the depth and thought that went into them. I stumbled across them while searching for something tangential for a project I'm working on, and I got caught up reading them from top to bottom.
I am trying to build a niche-market app using these principles (namely, double-entry accounting), with job-costing thrown in. The above answers have been extremely helpful in reshaping my concept of what both the accounting and the database-ing should look and work like. However, I'm having a hard time integrating the job-costing portion of the equation into the excellent graphical examples that were provided.
There were several transaction examples using the House, account holders, fees, etc. I have a few other specific use-cases I would love to get some input on:
I have no customers. I buy a property (usually cash goes out, a liability (loan) is created, an asset (the property) is created), spend a bunch of money to fix it up (either cash out at a store, credit card charges at a store, or a check written to a vendor, which debits the property asset and debits or credits the funding source), and then sell it (cash comes in, the loan is paid off, and hopefully there's more cash left than what I spent on the project). This likely creates more ledger entries than I've listed above, but I'm not an accountant. I think I understand that all my costs go toward my basis in the property, and if my net proceeds are greater than my basis, then I've made money, and if not, then not.
So what I need to record are expenses that a) come from a specific account (i.e. company checking account or owner's Best Buy card etc.), b) are generally associated with a specific job (but not always - I do have the occasional overhead expense like office supplies), and c) are always associated with a cost code (i.e. '100.12 - Window Materials', '100.13 - Window Labor', etc.).
Frequently I receive bills from vendors that are due sometime in the future. I would like to track the bills received but not-yet-paid for a given job (committed costs). I think this transaction looks like this, but I'm not really sure:
As you may have surmised from my quip above about the "owner's Best Buy card," I sometimes (more often than I should) use my personal funds for company- and job-related expenses. I think (again with the caveat that I'm a layman) that all of those expenditures credit "Owner's Equity," and debit/credit other accounts as needed.
I've been keeping track of all of this in a big, ugly spreadsheet, which is why I'm trying to build an app to replace it - the spreadsheet method doesn't work very well and it certainly won't scale.
Preliminary
For those reading this Answer, please note that the context is as follows, in increments:
Derived Account Balance vs Stored Account Balance
Relational Data Model for Double-Entry Accounting
If you have not availed yourself to that, this Answer may not make sense.
I will respond in a sequence that is Normalised, which is of course different to the way you have laid out the problem.
Principle & Correction
There are a few, more than one, errors in your stated problem which you are not aware of, so the first step is awareness; understanding. Once a problem is correctly and precisely declared, it is easy to solve. These are errors that developers commonly make, so they need to be understood as such ... long before an app is contemplated.
1 First Principle
I've been keeping track of all of this in a big, ugly spreadsheet [the spreadsheet method doesn't work very well and it certainly won't scale], which is why I'm trying to build an app to replace it
If the manual (or the previous computerised) system is broken, and you implement a new or replacement app that is based on it, you are guaranteed to carry that broken-ness into the app.
Worse, if this is not understood, a third app can be written, promising to fix the problems in the second app, but it too, is guaranteed to migrate the problems that were not fixed in the first and second app.
Therefore, you must identify and correct every single problem in the system that you are replacing, including testing, before you can design an app and database that has any chance of success.
Scaling is the least of our worries. How any particular thing works with any other thing is the problem.
The fact that you have one great big ugly spreadsheet means that you have an overall perspective: humans can do that, we can fly by the seat of our pants, but computers cannot, they require explicit instructions.
2 Second Principle
I've been keeping track of all of this in a big, ugly spreadsheet [...] - the spreadsheet method doesn't work very well
Why does it not work [as it stands] ?
Reason 1 of 2.
You make a mistake that developers commonly make: you inspect and study the the bits and pieces of a thing, which is in the physical realm, and try to figure out how the thing works. Guaranteed failure, because how a thing works; its purpose; etc, is in the intellectual realm, not the physical.
I won't detail it here, but the larger problem must be noted. This error is a specific instance of a larger error, and very common, that:
developers focus on the functions of the GUI,
instead of the demand, which is to
correctly define the data and its relations, upon which the functions of the GUI are existentially dependent.
A person who has not learned about internal combustion, cannot figure out how to build an engine from looking at the parts of an engine that has been taken apart, even if the parts are laid out carefully. Let alone one with injectors or turbo-chargers. The principle of internal combustion is logical, the parts are physical.
Here you have looked at the spreadsheets that others have used to do their Accounting, and perhaps copied that, without understanding what they are doing with the spreadsheets.
Case in point.
You have examined the first and second linked Answers, and you think you can figure out how to apply that to a new app that fixes the dirty big spreadsheet problem.
Many developers think that if they work out the nuts and bolts, copy-paste-and-substitute, somehow the app will work. Note the carefully thought-out, but still incomplete, graphics that details perceived transactions.
They are missing the logical realm, and messing with the physical realm without the demanded understanding of what they are messing with.
In a word, forget about the pretty graphics for the Transactions, both yours and mine, and seek to understand the Logic (this principle) and the Accounting Standard [3].
"Test driven development" aka "code the minimum" aka "trial and error" is a totally bankrupt method, it has no scientific basis (marketing, yes, but science, no), and it is guaranteed to fail. Dangerous, because the cost is ongoing, never finite.
And to keep failing, if you understand the above.
More precisely, it is anti-science, in that it contradicts the science for building apps and databases.
So the first step is to break that great big spreadsheet down into logical units that have a purpose. And certainly, link each referencing spreadsheet column to the right columns in the referenced spreadsheet ... such that any Amount value is never duplicated.
3 Third Principle
I've been keeping track of all of this in a big, ugly spreadsheet [...] - the spreadsheet method doesn't work very well
Why does it not work, either as it stands, or when the spreadsheet has been divided into logical units ?
Reason 2 of 2.
Lack of Standards.
Since the subject matter is Accounting, we must use Accounting Standards.
That single great big ugly spreadsheet is ready evidence that you have not used an Accountant to set it up. And of course, you cannot set up a set of spreadsheets to do your Accounting without either understanding Accounting or using a qualified Accountant.
Therefore the second step is to either get an Accountant, or obtain a good understanding of Accounting. Note again, the ready evidence of your carefully thought out transactions: despite the fact that you are a very capable person, you cannot figure out the Accounting logic that is in the first and second linked Answers, let alone the Accounting that you need for your app (or your manual system).
So the best advice I can give you is, as stated in the Double-Entry Accounting Answer, find some good Tutorials on the web, and study them.
If you did that, or hired an Accountant to set up your books, you would split the single big fat spreadsheet into standard Accounting Spreadsheets:
Balance Sheet:
Asset or Liability
Profit & Loss:
Revenue or Expense
and one more set (later)
Another way of stating this principle is this. When one is ignorant that a Standard exists, or worse, when one knowingly chooses to not comply with it, one is left in the dangerous position of re-inventing the wheel, from scratch. Aka "Test driven development", aka "code the minimum possible", aka "trial and error". That means that one will go through an entire series of increments of development, which can be eliminated by observance of the Standard.
Problem & Solution
Now that we understand the principles, we can move on to determination of the specific problems, and their solutions. Each of these is a specific application of the Third Principle.
4 Property/Mortgage Treatment
I have no customers. I buy a property (usually cash goes out, a liability (loan) is created, an asset (the property) is created), spend a bunch of money to fix it up (either cash out at a store, credit card charges at a store, or a check written to a vendor, which debits the property asset and debits or credits the funding source), and then sell it
I am not saying that you have not heeded the advice I have given in the Double-Entry Answer. I am saying you have not appreciated the gravity of the advice; what it means in an Accounting context (before we venture into the database context).
Money represents value. Money; value, cannot be created or destroyed. It can only be moved. From one bucket to another. The demand is to have your buckets defined and arranged properly, according to [3].
The property is not created, it already exists. When you buy a property, there is a movement of your cash to the bank, and a movement of their property to you. In the naïve sense only, the property is now an "asset", the mortgage is now a "liability". That naïveté will be clarified into proper accounting buckets later.
You are, in fact, operating as a small single-branch bank; a cooperative; a casino. The precise context for the Double-Entry Accounting Answer. The following is true for
either a corrected set of spreadsheets,
or for following and implementing the Double-Entry Accounting Answer (if you go directly into the app ... without testing the correction to your single spreadsheet).
This is really important to understand, because it has to do with legislation in your country, which you have not mentioned. That legislation will be known to you as Taxation, or your Tax Return for the business. Even if you hold just one property at any one time.
Your "customer" is each bank that is engaged for each property. Name it for the property.
Each mortgage (property) should be set up as an External Account. That will allow you to conduct only those transactions that are actually related to it, against it. Loan Payments; Bank Charges; Expenses; etc. There will be no incoming money, until the property is sold.
In any case, the External Account will match the Bank Statement that the bank gives you for the mortgage account (which you did not mention, but which is a fundamental requirement of Accounting).
As defined in the Double-Entry Accounting Answer, every transaction on an ExternalAccount will have one Double-Entry leg in the Ledger. More, later.
Whether it is an Asset or a Liability in Accounting terms, is a function of the Ledger entry, not a function of the External Account. (By all means, we know it represents a property, which by a naïve perspective is an "asset", until it starts losing money, when it by naïve perspective, becomes a "liability".)
Another way of defining this point is, the bank loan represents a contract, upon which money (value) "changes hands" (is moved). The bank which you engaged is the "customer", the External Account. You must keep all income and expense related to the contract, with the contract.
niche-market app ...
I have a few other specific use-cases ...
No, you don't. There is nothing new under the sun. If you set up your books correctly (multiple linked spreadsheets using Accounting Standards), this is a vanilla use case. Hopefully my explanation has demonstrated that fact.
5 Ledger
Where the above points have to do with the intellectual realm, the understanding of each problem and therein the solution, which causes little work in the physical realm, this point, which has the same demand for the intellectual, is onerous at the physical level. That is, the number of keystrokes; checking; changes; checking ... before you get it set up correctly.
Although the first linked Answer deals with:
Derived vs Stored Account Balance (efficient and audit-able processing re month end),
and the second linked Answer deals with:
Double-Entry Accounting (implementation of an over-arching Accounting Standard in an existing Accounting system, a higher level of audit-ability),
neither explains the Ledger in detail.
The Ledger is the central article of any Accounting system.
The Double-Entry system is not a stand-alone article, but an advancement to that Ledger.
The data model is the specific how to set the database up correctly for both the app, and any reporting client s/w to use, uneventfully.
You do not have a true Ledger. The single big spreadsheet is not a Ledger.
You must set up the Ledger, according to [3]. At best, some of the items in that spreadsheet will be entries in the Ledger, but note, you will perceive them quite differently, due to the corrections set forth in [1][2][3].
Note that when we say "put that in the Ledger" or "that is not in the Ledger", which is for simplicity, what we mean precisely is a reference to single Ledger Entry, which is identified by a specific Account Number in the Ledger.
In the data model, this is LedgerNo.
Likewise, when we say "Accounts", we mean precisely a single Account Number in the Ledger.
If a transaction is not in the Ledger (a specific Account Number, a LedgerNo, one leg of the DEA Credit/Debit), it is not in the "accounts", it is not accounted for.
This is where you will set up genuine Accounts for Assets, and for Liabilities. This is for Internal purposes, in the Ledger, as declared in the margin for Internal in the data model.
The best advice I can give you is, trawl the web for Tutorials on Accounting; determine which are good; study them carefully, with a view to setting up a proper Ledger for your purposes.
The simple answer is, the Ledger is an Hierarchy of Account Numbers.
Wherein the leaf level is an actual AccountNo that can be transacted against,
and the non-leaf levels exist for the purpose of aggregation, no transactions allowed.
Whenever the Ledger is reported (or any derivative of the Ledger, such as BalanceSheet or Profit & Loss):
the hierarchy is shown by indentation,
the transactional Account entries show the Current Balance for the current month
and the aggregate Account entries show the aggregate for the tree under it
[your graphics re transactions]
First and foremost, every Transaction is in the Ledger. That means one leg of the Double-Entry Accounting Transaction is in the Ledger. Look at § 5 in my Double-Entry Accounting Answer, notice that every Business Transaction has at least one blue entry (do not worry about the other details).
Second, the other DEA leg is:
either in the Ledger, meaning that the money moved between one Ledger Account LedgerNo and another Ledger Account LedgerNo. Notice the Business Transactions where both sides are blue.
or in an External Account, meaning that the money moved between one Ledger Account LedgerNo and an External Account AccountNo. Notice the Business Transactions where one side is blue and the other is green.
When you understand that, and you have your Ledger set up, there will be no "??" in your graphics, and the blue/green will be shown. (Do not re-do your graphics, I expect that this Answer will suffice.)
Your "asset/liab" designation is not correct. More precisely, it is premature to make that declaration before the Ledger is fully defined and arranged. First set up your Ledger, with Asset/Liability for each entry in mind. Then you will not have to declare "asset/liab" on each transaction, because that is a function of the Ledger Account Number LedgerNo, not a function of the transaction.
expenses that a) come from a specific account (i.e. company checking account or owner's Best Buy card etc.),
Ledger-ExternalAccount
(one DEA leg in the Ledger, the other leg in the External Account). Noting the caveats above. The other DEA leg will be to one of these (hierarchy):
Expense/Property Improvement/Structure/Material
Expense/Property Improvement/Structure/Labour
Expense/Property Improvement/Fitting/Material
Expense/Property Improvement/Fitting/Labour
Expense/Property Improvement/Furniture
expenses that c) are always associated with a cost code (i.e. '100.12 - Window Materials', '100.13 - Window Labor', etc.).
You will no longer have "cost codes", they will all be Ledger Account Numbers LedgerNos, because the Ledger is where you account for anything and everything.
One DEA leg in the Ledger, the other leg in the External Account for the particular property. The hierarchy will be the same as the previous point.
expenses that b) are generally associated with a specific job
Ledger-ExternalAccount
(one DEA leg in the Ledger, the other in the External Account).
(but not always - I do have the occasional overhead expense like office supplies)
Ledger-Ledger
one DEA leg in the Ledger for an Expense or Liability LedgerNo ... that the money was paid to
Expense/Regular/Office Supplies
the other leg in the Ledger for a Revenue or Asset LedgerNo ... that the money was paid from
Revenue/Monthly Payable
6 Credit & Other Card Treatment
credit card charge
Best Buy card
Each of your cards represents a contract, an Account that that needs to be transacted against, that must be balanced against the monthly statement provided by the institution that issued the card.
Set up each one as an External Account, one DEA leg here, the other in the Ledger.
"owner's Best Buy card" is not clear to me (who is the owner, you or the property owner ... if the latter then the assumption thus far, that "you" buy and sell properties is incorrect.)
In any case, I believe I have given enough detail for you to figure it out.
Do not amalgamate an owner's property Account and their Best Buy card into one External Account: keep separate External Accounts for each.
7 Job Costing
Notice that I am addressing this last, because once you fix the big problems, the problems that remain, are small. What you set out as the big problems (job costing; profit/loss per property) are, once the Ledger has been set up correctly for your business, actually small problems.
As far as I can see, Job Costing is the only remaining point that I have not addressed. First, the issue to be understood here is, the difference between Actuals and Estimates. Everything I have discussed thus far are Actuals.
For Estimates, the Standard procedure is to set up a separate Account structure (tree in the hierarchy) in the Ledger. These are often called Suspense Accounts, as in money that is held in suspense.
Treated properly, these Accounts will prevent you from closing or finalising an External Account before all the Estimates have been transferred to Actuals (Suspense to zero).
The Business Transactions are exactly the same as for Actuals.
This will provide precise tracking of such figures, and also the difference when an item moves from Estimate to Actual.
8 Data Model • Job Costing
Noting that the data model in the first and second linked Answers are complete for the purpose, wherein the Ledger is not expanded:
this Answer deals with explanation of the Ledger, and this data model gives the full definition of a Ledger
Arranged by AccountType
A single-parent hierarchy
Only the leaf level LedgerAccount may be transacted against
The intermediate level LedgerIntermediate is for summarising the tree below it.
I have further Normalised Transaction
expanded External Account to show a Person vs an Organisation
All constraints are made explicit.
Obviously too large for an inline graphic. Here is a PDF in two pages:
the Data Model alone (as above)
the Data Model with sample data and notes, it includes all the examples covered in the Answer
Note the indentation in the Ledger, which denotes the Account hierarchy
Comments
How do you insert the first ledger (e.g. 100 Asset, no parent)?
The Ledger is a Tree, a Single Parent Hierarchy (aka "one way" for strange reasons), as per Account Hierarchy. A root row is required. In a database build operation (using DDL from a file), we generally do all our CREATE TABLEs, followed by all our ADD CONSTRAINT FKs. Insert the root row in with the CREATE TABLE.
After the
CREATE TABLE Ledger
do
INSERT Ledger VALUES ( 0, 0, "I", "AL", "Root", ... ).
After the
CREATE TABLE LedgerIntermediate
do
INSERT LedgerIntermediate VALUES ( 0 ).
Given that the reverse of Comprises is belongs to, all first-level Ledgers eg. Fees, House, Interbank and your Asset would belong to this root row.

Derived vs Stored account balance in high rate transactions system

I'm writing a Spring Boot 2.x application using Mysql as DBMS. I use Spring Data and Hibernate.
I want to realize a SMS gateway for my customers. Each customer has an account in my system and a balance.
For each sms sent, the balance of the customer must be subctracted by the sms cost. Furthemore, before send the sms the balance should be checked in order to see if the customer has enough credit (this imply having an updated balance to check).
I want to handle a high rate of sms because customers are business and not just final users.
Each customer therefore could send hundreds sms in really short time. I'm looking for an efficient way to update customer's balance. Each transaction has a little price but I've a lot of them.
I could derive the balance making a SELECT SUM(deposit-costs) FROM... but this would be very expensive to do as soon I've milions of records in my system.
On the other hand, if I keep the value of the balance in a column, I would have two problems:
concurrency problem: I could have many transactions at the same time that want to update the balance. I could use pessimistic lock but I would slow down the entire system
correctness of the data: The balance could be wrong due to some wrong/miss update
I could mitigate these points running a task at the end of the day to fix the stored balance with value of the derived one, but:
if I've hundreds of customers it could stuck my system for some time
some heedful customer could notice the variation of his balance and could ask for explanation. It's not nice that your balance change without explanation when you are not doing anything
I'm looking for some advice and best practice to follow. In the end several big companies are selling their service "pay as you go", so I guess there is a common way to handle the problem.
In banking, people are quite careful about money. Generally, the "place for truth" is the database. You can make the "place for truth" memory, but this is more sophisticated requiring concurrent in memory databases. What if one of your servers goes down in the middle of a transaction? You need to be able to quickly failover the database to a backup.
Do a benchmark to see if database updates times meet your needs. There are various ways to speed them up moderately. If these rates are in your acceptable range, then do it this way. It is the simplest.
A common approach to speed up txn times is to have a threadpool and assign one thread to an account. This way all txns on an account are always handled by the same thread. This allows further optimization.

Storing incremental prices in MongoDB

I'm using MongoDB and MySQL for different aspects of an e-commerce site.
One of the features is 'bidding'. The price goes up with each bid.
There are several ways I could do this, such as having a single column that updates the 'price' or I could have another column that simply adds prices and I can get the latest price based on the date, requiring an order by. Also, each new price, will be based off the current high price, so I'll need to know the current high price.
I'd like to keep this in the MongoDB portion, but not sure what best way to handle this.
Any suggestions would be great!
Thank you!
You can atomically update documents in mongodb, there's an $inc operator, so you can atomically update a document's "max price" while also $pushing the last bidder, the date, and the price increase to an array, for example. This way you'll never be in danger of having an inconsistent auction document. Using safe mode for writes is necessary too.
Splitting bids into separate documents which you then assemble to find the current price is another solution. It really depends on how much state you're tracking with the bids.