Best structure for a master/detail relationship?

Hello

I would like to get some expert advice on the best architecture Oracle 11 g for a fairly simple storage situation: I have a table in a data warehouse with millions of records added every day. Each record can be associated with a (99.9% of the cases) or, more rarely, many under folders (up to 3 or 4).

(1) the natural relational approach would require a relationship of the master / detail, with a key shared between the two tables. Some questions in the case:
-Here, what would be the best structure? Because its lines are going to be quite small, the child table should probably be a table index. But consider a cluster?
-Also what key will be used in the relationship? Master records are never accessible using full table scan, so that they have no primary key or an index. Is it possible to avoid creating a surrogate key only for reasons to join the master and detail tables, for example, by using a rowid any?

(2) another reasonable approach, it seems, would be to use a nested table structure to store the detail records.
-Is an interesting solution? It seems that he avoids the need for a surrogate key and looks "natural way" of doing things. But generally people seem not very keen on this feature, perhaps because of the lack of knowledge?
-In this case, would it still possible to scan detailed records using pure SQL, as you would with a join in case 1?

(3) although I have not yet studied the pb in detail, it seems that the right tools to populate two tables at the same time external tables would be to use PIPELINE and PL/SQL FORALL constructs, can anyone confirm?

Thanks for your help,
Chris

In an environment of DW, things are generally modeled according to the fact dimension. The fact table would hold everything 'measurable' is a fact (in your case a call). It would be things like the date and time of the call, duration, charges total, possibly local/long distance/overseas etc. The dimension tables would provide additional information to the call and solve research etc. For example, you might have a date dimension which had every day, the year, month, day of the year, quarter, fiscal quarter (in my organization, they differ and we report both for different reasons) etc. You have also a time dimension indicating if the time if the call was during the day, evening, night, etc., depending on how you define them.

Of course, all of this really depends on the types of questions you want to ask questions about the data you have.

I'd be inclined to model along the lines of (note I guess anum and bnum are something like departure and destination phone numbers):

CREATE TABLE calls (
   Call_Id      INTEGER PRIMARY KEY, -- this comes from a sequence
   Anum_key     NUMBER REFERENCES call_numbers,
   Bnum_key     NUMBER REFERENCES call_numbers,
   charging_key NUMBER REFERENCES charging
   Duration     NUMBER,
   charge       NUMBER,
   call_count   NUMBER);

CREATE TABLE call_numbers (
   number_key    INTEGER PRIMARY KEY,
   phone_number  VARCHAR2(50),
   area_code?    VARCHAR2(50),
   country_code? VARCHAR2(50));

CREATE TABLE charging (
   charging_key         INTEGER NOT NULL CHECK (counter BETWEEN 1 AND 19 or counter = -1),
   counter_description  VARCHAR2(50));

with a line of calls for each combination of meter that must be loaded. The ETL code would assing a call unloaded (i.e. your first scenario a charge_key-1), and depending on how you want to count calls, 1 or 0 for call_count. For your second scenario, County of appeal would be 1 for the single record for this call. For the third scenario I would, more or less arbitrarily (i.e., max or min amount/meter) assign 1 in one of the recordings and 0 for the rest (which implies that even if the cost of a call to several counters, it's still only 1 call).
Thus, in light of your three specimen he would look like:

calls
ID   Anum   Bnum   chg   Dur   amount   count
 1      1      2    -1     0        0       1
 2      3      2     1     2      610       1
 3      4      5     1     3      240       1
 4      5      6     6     3      520       0

call_number
key   number
1     123456
2     234567
3     987655
4     545678
5     435467
6     986234

charging
key   descr
-1    Unanswered
 1    Counter 1
 2    Counter 2
 ...
19    counter 19

So, how many call where there?

SELECT SUM(call_count) FROM calls WHERE ... 

How much do we chanrge?

SELECT SUM(charge_amt) FROM calls WHERE ... 

How long they spoke?

SELECT SUM(duration) FROM calls WHERE call_count = 1 and ... 

How much we took in counter 6:

SELECT SUM(charge_amt) FROM calls WHERE charging_key = 6 and... 

How long was the 6 meter?

SELECT SUM(duration) FROM calls WHERE charging_key = 6 and ... 

As I said before, I'm not really fan of tables nested in the columns. :-)

John

Tags: Database

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