Oracle Express with +4 million on fact table rows

Friends:
I obtain to have a good performance using the Oracle Express 6.x with a table fact of +4 millions of rows?
Which would be the ideal configuration for the server?
Please it enters in contact...
Obrigado,
Alexandre Sartori - Brazil
[email protected]

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Stefan thanx for your replay.
So the answer is that officially it s supported but there are (or there shouldn't be any) guidelines about thinks you should or should not do in such an approach?
I wonder if it is my wrong BM design!

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As Oracle express has 4 gigs of data size limit. so how many exams can be saved for at maximum when it comes to storage for PACS system?
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Hello Nicolas,
i think the OP means radiology exam data. Thats because he's talking about PACS (Picture Archiving and Communication System) - a kind of software you use to store radiology images in digital format.
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Dear all,
I have created a Relational Access Administrator project and mapped an Express Datamodel with RDBMS lookup and fact tables and created a Maintenance Procedure Using "Express Database Maintenance" from "Relational Access Administrator". After that when I tried to run that "Procedure" using "Batch Manager", it creates a Command definition file "~5848371.cmd" and nothing is showing in the "Job Monitor" tab of "Batch Manager". At the same time since it could not run the procedure, no Express database have been created to the specified path.
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1 Dimension with Key Fund_ID
2 Fact tables, each with a Key Fund_ID
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In Answers, the following is true:
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I doubt it very much its DB specific, the error is from the BI Server ([nQSError: 15018]) rather than SS.
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Find the partition for the fact table

Oracle version : Oracle 10.2
I have one fact table with daily partitions.
I am inserting some test data in this table for old date 20100101.
I am able to insert this record in this table as below
insert into fact_table values (20100101,123,456);
However I observed that the partition for this date does not exist in the table (all_tab_partitions) morever I am not able to select the data using
select * from facT_table partition(d_20100101)
but I am able to extract the data using
select * from facT_table where date_id=20100101
could some one please let me know the way to find the partition in which this data might be inserted
and if the partition for date 20100101 is not present then why insert for that date is working ?

user507531 wrote:
However I observed that the partition for this date does not exist in the table (all_tab_partitions) morever I am not able to select the data using
select * from facT_table partition(d_20100101)Wrong approach.
but I am able to extract the data using
select * from facT_table where date_id=20100101Correct approach.
could some one please let me know the way to find the partition in which this data might be inserted
and if the partition for date 20100101 is not present then why insert for that date is working ?Who says that the date is invalid..? This is a range partition - which means that each partition covers a range. And if you bothered to read up in the SQL Reference Guide on how a range partition is defined, you will notice that each partition is defined with the end value of the range it covers. There is no start value - as the previous partition's end value is the "+border+" between this and the prior partition.
I suggest that before you use a database feature you first familiarise yourself with it. Else incorrectly using it, and making the wrong assumptions about it, more than likely results.

Update DIM data in Fact Table

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I have a TSR dimension data (1 of 12 dimensional attributes) in our forecast fact table which gets updated monthly in our source system and we have to reflect this in our BPC system. What is the best method of updating this data in BPC?
1. Can I update the TSR directly in the forecast fact table and reprocess the application to reflect this in the cube?
2. Do I have to negate that entire fact table row with the old TSR and insert a new row with the new TSR and process the cube?
3. Any other method?
Thanks for your help.

You need to explain your requirement a bit more. Why you want to add type or rejection reason in fact table.
In general you should avoid adding textual data in fact.
Fact tables are only supposed to store keys and measures. It can hold textual data in case of degenerate dimension ( i.e if the number of records are same in dimension as well as fact ).
Type or Rejection reason are going to have much less records. You can create a new dimension for them having probably 20 or 30 records.
Disadvantages of adding textual data in fact is, once the fact has millions of records the fact table updates are going to take huge time and also your reports will take long time.
If you have a rejection reason dimension with some 20 records, you can use rejection reason in prompts.
But if the same rejection reason is coming from fact table your prompts performance is going to be very slow since it has to fetch 20 distinct records from millions of records.
Consider these before adding textual data in facts.
Thanks
Edited by: Maqsood Hussain on Dec 5, 2012 9:40 PM

Textual Data in Fact Table

Hi
I would like to understand what can be the probable issues which I may face in OBIEE 11g if my fact table has non- numeric data (textual data) like type or rejection reason in the fact table.
I am new to the team and the data warehouse consist of textual data in fact table. I am not very much sure whether this approach is correct(unless I am missing latest trend)
Can anybody explain me with example on what can be the issues which we can face with textual data in fact table
Regards
Sameer

You need to explain your requirement a bit more. Why you want to add type or rejection reason in fact table.
In general you should avoid adding textual data in fact.
Fact tables are only supposed to store keys and measures. It can hold textual data in case of degenerate dimension ( i.e if the number of records are same in dimension as well as fact ).
Type or Rejection reason are going to have much less records. You can create a new dimension for them having probably 20 or 30 records.
Disadvantages of adding textual data in fact is, once the fact has millions of records the fact table updates are going to take huge time and also your reports will take long time.
If you have a rejection reason dimension with some 20 records, you can use rejection reason in prompts.
But if the same rejection reason is coming from fact table your prompts performance is going to be very slow since it has to fetch 20 distinct records from millions of records.
Consider these before adding textual data in facts.
Thanks
Edited by: Maqsood Hussain on Dec 5, 2012 9:40 PM

Oracle Express with +4 million on fact table rows

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