Global Database Design for example to store Addresses
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Eddy Vluggen wrote:
if normalization would work that way, you'd need 7 fields for each date (Day, month, year, hours, minutes, seconds, timezone),
I've seen that done, minus the timezone. That was a freaking moment.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
Jörgen Andersson wrote:
I've seen that done, minus the timezone. That was a freaking moment.
I imagine! I wanted a far-fetched example, so encountering something like that in the wild is a bit of a wtf-moment. Codd did not say 'eliminate every repeating group', as that would imply that we cannot even store the day number '12'. It would repeat for each month, after all. Putting the day-numbers in a separate table and linking to them using a Guid would be an option, but also a bit insane. The 'worst' modeling decision that I remember are storing everything as a varchar, including an array of bits; actually stored as a "11101010001100"-string. When I asked who wrote it (same tone as usual), my boss-for-the-moment responded saying it was an optimization :thumbsup:
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
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Jörgen Andersson wrote:
I've seen that done, minus the timezone. That was a freaking moment.
I imagine! I wanted a far-fetched example, so encountering something like that in the wild is a bit of a wtf-moment. Codd did not say 'eliminate every repeating group', as that would imply that we cannot even store the day number '12'. It would repeat for each month, after all. Putting the day-numbers in a separate table and linking to them using a Guid would be an option, but also a bit insane. The 'worst' modeling decision that I remember are storing everything as a varchar, including an array of bits; actually stored as a "11101010001100"-string. When I asked who wrote it (same tone as usual), my boss-for-the-moment responded saying it was an optimization :thumbsup:
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
Bit array as varchar scores quite high on the list of wtf moments The really stupid part of storing time in six different fields is that they are all just different representations of the same thing (time) and you can calculate one from another. If there wasn't a date type available I'd simply store seconds in a number field, which coincidentally is what happens behind the doors in a database.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
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Dear Readers, Above question is a "small" question about something I'm at a dead end at the moment. How do I design a database to store all kind of addresses from all over the world? All countries have different address specifications. Some countries have more address fields than others, and/or of different structure. This is just a fraction of a larger problem I'm facing. I need to redesign a database that is country specific to a global design. Addresses might be the most easy thing to globalize. How do you design/model such a "global" database? Thanks in advance, Rémy Samulski
Since this is an existing application presumably with multiple international clients presumably you will already be familar with dealing with issues about how the data will be used and how it is viewed. That will impact some of the design. I would expect that you would need to use a template which defines addressing schemes. That would be a dynamic (loaded from somewhere) part of the application to define layout for display and printing. The following is interesting read in terms of possible variations. http://www.columbia.edu/~fdc/postal/[^]
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Bit array as varchar scores quite high on the list of wtf moments The really stupid part of storing time in six different fields is that they are all just different representations of the same thing (time) and you can calculate one from another. If there wasn't a date type available I'd simply store seconds in a number field, which coincidentally is what happens behind the doors in a database.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
Jörgen Andersson wrote:
If there wasn't a date type available I'd simply store seconds in a number field, which coincidentally is what happens behind the doors in a database.
The beauty of having it in seconds is that it's once again a single (atomic) fact, without any cultural formatting or localized representation :) It's hard to keep things 'simple'.
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
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Dear Readers, Above question is a "small" question about something I'm at a dead end at the moment. How do I design a database to store all kind of addresses from all over the world? All countries have different address specifications. Some countries have more address fields than others, and/or of different structure. This is just a fraction of a larger problem I'm facing. I need to redesign a database that is country specific to a global design. Addresses might be the most easy thing to globalize. How do you design/model such a "global" database? Thanks in advance, Rémy Samulski
Thank you all for your time and information! As I'm a programmer in Heart and Soul I was hoping something upon a solution similar to object inheritance where I can modify a base table into a new table :), but maybe I'm way far of the planet earth. I'm considering all your answers and try to figure out a neat solution. At this moment I'm thinking about a common table (where data resides that belongs to all variants) and a "varianttype-key-value-type" (dutchAddress-roomnumber-34-int) table in which I store differences.
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Thank you all for your time and information! As I'm a programmer in Heart and Soul I was hoping something upon a solution similar to object inheritance where I can modify a base table into a new table :), but maybe I'm way far of the planet earth. I'm considering all your answers and try to figure out a neat solution. At this moment I'm thinking about a common table (where data resides that belongs to all variants) and a "varianttype-key-value-type" (dutchAddress-roomnumber-34-int) table in which I store differences.
LiQuick wrote:
As I'm a programmer in Heart and Soul I was hoping something upon a solution similar to object inheritance where I can modify a base table into a new table :) , but maybe I'm way far of the planet earth.
I do not see OO as an information-modeling language. Every db will support foreigen keys, and you could copy the concept of inheritance;
HUMAN
Id
Name
Gender
DoBEMPLOYEE /* let's 'inherit' a human */
Id
HumanFk (FK to HUMAN.Id)
HiredOn
HasAccessToSuperSecretFiles..but in a relational world, that will make things worse. You'd get *VERY* complex queries, and most UI's would not be prepared to handle an answer that comes in various forms. If it's handled as a single entity and used as one, then store it as one.
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
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LiQuick wrote:
As I'm a programmer in Heart and Soul I was hoping something upon a solution similar to object inheritance where I can modify a base table into a new table :) , but maybe I'm way far of the planet earth.
I do not see OO as an information-modeling language. Every db will support foreigen keys, and you could copy the concept of inheritance;
HUMAN
Id
Name
Gender
DoBEMPLOYEE /* let's 'inherit' a human */
Id
HumanFk (FK to HUMAN.Id)
HiredOn
HasAccessToSuperSecretFiles..but in a relational world, that will make things worse. You'd get *VERY* complex queries, and most UI's would not be prepared to handle an answer that comes in various forms. If it's handled as a single entity and used as one, then store it as one.
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
I'd say that it depends. It's often a balance between complex queries vs. performance. You might end up with extremely wide tables with a lot of null values where you will need many indexes instead of having one large index in the "HUMAN" table and several small optimized indexes for the "Inherited" tables. So it is a decision that can't be generalized, but rather one you need to make depending on the situation.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
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I'd say that it depends. It's often a balance between complex queries vs. performance. You might end up with extremely wide tables with a lot of null values where you will need many indexes instead of having one large index in the "HUMAN" table and several small optimized indexes for the "Inherited" tables. So it is a decision that can't be generalized, but rather one you need to make depending on the situation.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
Jörgen Andersson wrote:
I'd say that it depends.
It spells trouble, because the software that will use it will have to be prepared for a lot of scenario's. It would require "communication" and "human interaction". Two very obvious failure-points.
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
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Jörgen Andersson wrote:
I'd say that it depends.
It spells trouble, because the software that will use it will have to be prepared for a lot of scenario's. It would require "communication" and "human interaction". Two very obvious failure-points.
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]
Well, I've had to clean out faulty data to many times because the software wasn't, and the communication didn't happen. So the human interaction entered data that shouldn't have been. Clean unduplicated data is the main reason to normalize, performance is a positive sideeffect. But you lose time during development, that's for sure.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
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Well, I've had to clean out faulty data to many times because the software wasn't, and the communication didn't happen. So the human interaction entered data that shouldn't have been. Clean unduplicated data is the main reason to normalize, performance is a positive sideeffect. But you lose time during development, that's for sure.
Light moves faster than sound. That is why some people appear bright, until you hear them speak. List of common misconceptions
Jörgen Andersson wrote:
But you lose time during development, that's for sure.
It's one of the more important and underestimated parts of development. It's the reason why Microsoft Access does not solve 'everything'. How much would an inconsistency in the data cost? :rolleyes:
Bastard Programmer from Hell :suss: if you can't read my code, try converting it here[^]