I'm trying to merge two customers and getting the error:
The merge of the entity <merging customer name> was blocked for the following reasons: The selected customers have different pricing levels for the same item. Change the price levels to match.
Where do I find these pricing levels? I've no idea where to even look.
Since the error mentions items, I suspect that the two customers have item-level pricing and there's a mismatch between the two. On the Standard Customer Form (on your custom form it may be somewhere else), go to the Financial -> Item Pricing sublist and cross check the item pricing for each customer. One of them has an item where the Pricing Level column is different between the two customers.
I wanna know how to make an ERD OR Relationship Scheme out of this. I've been practicing ERD's but this one is really confusing the hell out of me.
This is what I could make out of the narrative currently but not exactly sure how correct I am.
The owner/manager of SCBD, gives you the following information: SCBD conduct a number of
different tours to known microbrewery regions around Victoria. Each Daytrip has an ID, and a
description, and may run many times in a year (such as the West Daytrip). Frequency depends
on the season and the specific daytrip.. Each time it is run it is called an ‘Event’. Each event has
a fee. Fees have usually increased by around 10% each year. SCBD have a number of
customers. Each customer has a name, ID and gender. SCBD customers make bookings for
daytrip events. Payment is made by credit card. (you do not have to worry about recording
credit card details etc.). The date that a booking is made is also recorded.
With respect to FIX 4.2 or greater:
Q1.a. How are incoming and outgoing sequence #’s correlated/linked? Is there a buyer specific FIX tag a buyer can embed/use explicitly for tracking upon submitting a buy order that is also included in subsequent incoming status message sequences from the broker?
Q1.b. If not, then how does a buyer manage/track individually several IOC buy orders that are submitted in quick succession or concurrently of securities which may or may not be identical, at different price levels, where units or shares are “filled” at varying rates?
Q1.a. How are incoming and outgoing sequence #’s correlated/linked?
They are not linked (i.e. they are independant). Any FIX application/engine (such as the QuickFIX family) maintains two sequence numbers per session, one for incoming and one for outgoing. See also this answer on Stack Overflow which pretty much tells you the same.
When using an engine like any of the QuickFIX family (QuickFIX, QuickFIX/J, QuickFIX/N), these will be managed for you and apart from some configuration vis-a-vis your counterparty you should not bother about managing these.
Q1.a. Is there a buyer specific FIX tag a buyer can embed/use explicitly for tracking upon submitting a buy order that is also included in subsequent incoming status message sequences from the broker?
These tags are already present in e.g. the FIX Order Single message (D) - ClOrdId:
Unique identifier for Order as assigned by the buy-side (institution, broker, intermediary etc.) [...]. Uniqueness must be guaranteed within a single trading day. Firms, particularly those which electronically submit multi-day orders, trade globally or throughout market close periods, should ensure uniqueness across days, for example by embedding a date within the ClOrdID field.
This field is mandatory when creating a new order using FIX Order Single, and is used the refer to the order in subsequent messaging (e.g. Execution Report, or Status messages).
Note that the ClOrdId changes when an order is changed using an Order Cancel/Replace Request <G>, i.e. you assign a new ClOrdId to the order when changing or canceling it.
Hi just got to say you are all life savers you know so much.
Ok got a store 1.72 magento and all working ok so I assign a registered person to Trade and they get all the trade prices for trade group for each product.
Problem is or should I say haven't been able to work out.
How do I create this so up to £200 subtotal they get standard prices over gets trade, to stop people buying one top at a time.
I see the discount amount from subtotal but as products they select are random wouldn't be able to calculate that.
I keep seeing questions floating through that make reference to a column in a database table named something like DateLastUpdated. I don't get it.
The only companion field I've ever seen is LastUpdateUserId or such. There's never an indicator about why the update took place; or even what the update was.
On top of that, this field is sometimes written from within a trigger, where even less context is available.
It certainly doesn't even come close to being an audit trail; so that can't be the justification. And if there is and audit trail somewhere in a log or whatever, this field would be redundant.
What am I missing? Why is this pattern so popular?
Such a field can be used to detect whether there are conflicting edits made by different processes. When you retrieve a record from the database, you get the previous DateLastUpdated field. After making changes to other fields, you submit the record back to the database layer. The database layer checks that the DateLastUpdated you submit matches the one still in the database. If it matches, then the update is performed (and DateLastUpdated is updated to the current time). However, if it does not match, then some other process has changed the record in the meantime and the current update can be aborted.
It depends on the exact circumstance, but a timestamp like that can be very useful for autogenerated data - you can figure out if something needs to be recalculated if a depedency has changed later on (this is how build systems calculate which files need to be recompiled).
Also, many websites will have data marking "Last changed" on a page, particularly news sites that may edit content. The exact reason isn't necessary (and there likely exist backups in case an audit trail is really necessary), but this data needs to be visible to the end user.
These sorts of things are typically used for business applications where user action is required to initiate the update. Typically, there will be some kind of business app (eg a CRM desktop application) and for most updates there tends to be only one way of making the update.
If you're looking at address data, that was done through the "Maintain Address" screen, etc.
Such database auditing is there to augment business-level auditing, not to replace it. Call centres will sometimes (or always in the case of financial services providers in Australia, as one example) record phone calls. That's part of the audit trail too but doesn't tend to be part of the IT solution as far as the desktop application (and related infrastructure) goes, although that is by no means a hard and fast rule.
Call centre staff will also typically have some sort of "Notes" or "Log" functionality where they can type freeform text as to why the customer called and what action was taken so the next operator can pick up where they left off when the customer rings back.
Triggers will often be used to record exactly what was changed (eg writing the old record to an audit table). The purpose of all this is that with all the information (the notes, recorded call, database audit trail and logs) the previous state of the data can be reconstructed as can the resulting action. This may be to find/resolve bugs in the system or simply as a conflict resolution process with the customer.
It is certainly popular - rails for example has a shorthand for it, as well as a creation timestamp (:timestamps).
At the application level it's very useful, as the same pattern is very common in views - look at the questions here for example (answered 56 secs ago, etc).
It can also be used retrospectively in reporting to generate stats (e.g. what is the growth curve of the number of records in the DB).
there are a couple of scenarios
Let's say you have an address table for your customers
you have your CRM app, the customer calls that his address has changed a month ago, with the LastUpdate column you can see that this row for this customer hasn't been touched in 4 months
usually you use triggers to populate a history table so that you can see all the other history, if you see that the creationdate and updated date are the same there is no point hitting the history table since you won't find anything
you calculate indexes (stock market), you can easily see that it was recalculated just by looking at this column
there are 2 DB servers, by comparing the date column you can find out if all the changes have been replicated or not etc etc ect
This is also very useful if you have to send feeds out to clients that are delta feeds, that is only the records that have been changed or inserted since the data of the last feed are sent.