How to link a fact table to one dimension many times

I have fact table which contains four date fields and I want to connect all of them to the Time dimension. I think I probably must split this fact table to multiple tables and then link them to dimensions. What is the right way to solve this kind of problem?
Example: Fact table: TimeIn, TimOut, TimeStart, TimeStop, InPlace, OutPlace, StartPlace, StopPlace, Speed, Weight, Width, Height .....
Thank you

Hello Kostis,
thank you for your answer. I don't fully understand you. Can you show me short example, please? I create alias table for time dimension on Physical Layer - original table is TimeDayDim and I create aliases TimeDayDim1, TimeDayDim2, TimeDayDim3, TimeDayDim4. Then I create foreign key Fact.Time1 -> TimeDayDim1, Fact.Time2 -> TimeDayDim2, Fact.Time3 -> TimeDayDim3, Fact.Time4 -> TimeDayDim4. And what now? Must I create these table api Bussines Model and create new time dimensions at bussiness model????
I need in Answers ONE Time dimension. I think I must split my fact table to four tables ... (time1, place1 ...) (time2, place2 ...) (time3 place3...) (time4 place4...) then link those tables to Time dimension (but I dont know where I can split those tables - on Physical Layer or on Bussines Layer).
I suppose that I will have in Answers one time dimension and four facts tables and I will be able to query them. (for example: Time.Days, Fact1.Place1, Fact3.Speed, Fact4.Count Criteria: Time.Year = 2008)
Best Regards Vlada

Similar Messages

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    Hello Kostis,
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    Best Regards Vlada

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    Edited by: help-required on Mar 11, 2010 6:53 PM

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    >
    Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
    >
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        marital_status varchar2(30) DEFAULT 'N/A' not null,
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    |   0 | SELECT STATEMENT               |                       |     1 |    30 |
    |   1 |  BITMAP CONVERSION TO ROWIDS   |                       |     1 |    30 |
    |   2 |   BITMAP OR                    |                       |       |       |
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    |   4 |    BITMAP AND                  |                       |       |       |
    |*  5 |     BITMAP INDEX SINGLE VALUE  | AGE_BITMAP            |       |       |
    |*  6 |     BITMAP INDEX SINGLE VALUE  | MARITAL_STATUS_BITMAP |       |       |
    |*  7 |     BITMAP INDEX SINGLE VALUE  | STATE_BITMAP          |       |       |
    |   8 |     BITMAP OR                  |                       |       |       |
    |   9 |      BITMAP AND                |                       |       |       |
    |* 10 |       BITMAP INDEX SINGLE VALUE| SOFTDRINK_BITMAP      |       |       |
    |* 11 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
    |  12 |      BITMAP AND                |                       |       |       |
    |* 13 |       BITMAP INDEX SINGLE VALUE| BEER_BITMAP           |       |       |
    |* 14 |       BITMAP INDEX SINGLE VALUE| SUMMER_SPORT_BITMAP   |       |       |
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       5 - access("AGE"='young')
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      13 - access("BEER"='coors')
      14 - access("SUMMER_SPORT"='golf')
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    Plan hash value: 2656088680
    | Id  | Operation                    | Name               | Rows  | Bytes | Cost
    |   0 | SELECT STATEMENT             |                    |     1 |    28 |
    |   1 |  BITMAP CONVERSION TO ROWIDS |                    |       |       |
    |   2 |   BITMAP OR                  |                    |       |       |
    |*  3 |    BITMAP INDEX SINGLE VALUE | STATE_BITMAP       |       |       |
    |   4 |    BITMAP AND                |                    |       |       |
    |*  5 |     BITMAP INDEX SINGLE VALUE| STATE_BITMAP       |       |       |
    |*  6 |     BITMAP INDEX SINGLE VALUE| YOUNG_DIVORCED_NDX |       |       |
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       3 - access("STATE"='CO')
       5 - access("STATE"='CA')
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    >
    Did you get the counts for each value of each dimension by doing a separate query with the current "WHERE" clause on each dimension?
    >
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    | Id  | Operation                | Name        | Rows  | Bytes | Cost (%CPU)| Ti
    |   0 | SELECT STATEMENT         |             |     1 |    12 |     3   (0)| 00
    |   1 |  SORT GROUP BY NOSORT    |             |     1 |    12 |     3   (0)| 00
    |   2 |   BITMAP CONVERSION COUNT|             | 56977 |   667K|     3   (0)| 00
    |   3 |    BITMAP INDEX FULL SCAN| BEER_BITMAP |       |       |            |
    SQL>Notice that Oracle uses only the index to gather the data.

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