Join multiple facts and dimensions for reporting issue

Hi,
I have a report requirements and need to use multiple fact tables and unconformed dimensions as described below
Fact table: F1,F2,F3
Dimensions tables: D1.....D9
F1:(joined to) D1,D2,D3,D4
F2::(joined to)D1,D2,D5,D6
F3::(joined to)D1,D2,D7,D8
D7::(joined to)D9,D8 (dimension D7 joined to two other dimensions D9 and D8
I'm trying to use columns from almost all the fact and dimension tables but getting "Unable to navigate requested expression. Please fix the metadata consistency warnings."
Repository is consistent and no errors and warnings.
How can I configure the repository to develop reports using all fact tables and dimensions?
Appreciate for your help.
Thanks
Jay.

You can find the same issue in
Logic of queries in OBIEE
or
Connection between 2 fact tables
Follow the link
http://there-n-back-again.blogspot.com/2009/04/oracle-analytics-how-to-report-over-non.html
Put 'All' or 'Total' at levels for dim_xxx for those facts you need in your report from facta and factb
Regards
Nicolae

Similar Messages

Urgent - How to join multiple facts and dimensions in OBIEE rpd??

Hi,
In my RPD I have 3 facts and 4 dimensions and the joins defined are as below
Physical layer - All joins are FK and inner (1:N)
FACTA-------------- DIM_TIME, DIM_CUST,DIM_CAL
FACTB-------------- DIM_TIME, DIM_CUST,DIM_CAL
FACTC-------------- DIM_TIME, DIM_CUST,DIM_CAL, DIM_XYZ
BM layer - All joins are complex, inner
The logical table F1 pulls columns from FACTA, FACTB and FACTC . Complex join exists between all 4 dimensions DIM_TIME, DIM_CUST,DIM_CAL, DIM_XYZ to logical table F1.
Issue: I need to build a report with $ column from FACTA, FACTB and FACTC and need to add filter conditions using columns from DIM_TIME, DIM_CUST,DIM_CAL, DIM_XYZ.
However when ever I add a filter condition from DIM_XYZ the physical query generated is not generating code to access data from FACTA and FACTB. Instead it is subsituting a NULL and just pulls data frm FACTC.
My Questions: What is the best way to build the physical and BMM layer using FACTA, FACTB,FACTC, DIM_TIME, DIM_CUST,DIM_CAL and DIM_XYZ??
I need to resolve this issue ASAP so any help is appreciated. Thanks
Edited by: user11935561 on Feb 10, 2010 6:27 AM
Edited by: user11935561 on Feb 10, 2010 6:28 AM

You can find the same issue in
Logic of queries in OBIEE
or
Connection between 2 fact tables
Follow the link
http://there-n-back-again.blogspot.com/2009/04/oracle-analytics-how-to-report-over-non.html
Put 'All' or 'Total' at levels for dim_xxx for those facts you need in your report from facta and factb
Regards
Nicolae

Left outer join on Fact and dimension table.

Hi all, I have a fact F with account number and few measures as columns.
I also have a dimension D with account number, account name columns.
Few account numbers from Fact doesnt exist in Dimension D , but they need to show up in the report though.
How do I left join Fact and Dimension D in RPD?
I have this report where I need to show Account Number, Account name, measures.
If D doesnt have certain account numbers, I need to convert that account number from F as string and show it in the report in account name column.
Can you pls help.

Ok. I tried this:
Driving table : Fact, Left outer join -- didnt work.
Driving table: Dimension D left outer join -- didnt work either
In either the case, I see physical query as D left outer Join on Fact F. and omitting the rows.
And then I tried this -
Driving table: Fact, RIght outer join.
Now, this is giving me error:
Sybase][ODBC Driver]Internal Error. [nQSError: 16001] ODBC error state: 00000 code: 30128 message: [Sybase][ODBC Driver]Data overflow. Increase specified column size or buffer size. [nQSError: 16011] ODBC error occurred while executing SQLExtendedFetch to retrieve the results of a SQL statement. (HY000)
I checked all columns, everything matched with database table type and size.
I am pulling Fact.account number, Dimension.account name, Fact.Measures. I am seeing this error each time I pull Fact.Account number.

Multiple facts and dimensions

Hi Guys,
If you help me for this question that would be really great.
dim1, dim 2
fact1, fact2 and fact 3
dim 1 having join with fact 1
dim 2 having joing with all facts
so, i want to have a report on dim1, fact2 and fact 3.
Please let me know how I can track using these dimensions and fact tables. If i would create one logical table and include all dim1, dim 2 and 3 facts then is it work right.
Regards,
Shaik

You are trying to build a report with out joins between DIM & FACT. Overall you would like to know approach how to generate reports with multiple facts & dimensions.
Let take your scenario D1 -> F1, D2->F1,F2,F3
Now I want to generate report D1,D2,F1,F2,F3. Here D1,D2 are joined to the fact then there is no pblm. But F2,F3 are not joined to the D1.So we need to exclude D1 JOIN WITH F2 & F3 during runtime. To do that
1. Create hierarchies for D1,D2
2. In the contenct tab for set level for F2,F3 as TOTAL FOR D1 which eliminates the join between them during runtime

Join on Fact and Dimension tables

Hallo users,
I'm working on new rebuilding structur and I have this trouble: I need to Join more then one Items on the same dimensional table.
How is the correct way?
Have I to import the same table any time I need to join it, or is it enough a copy of folder?
How many times is possible to import a table on B.A.?
All of them couse I want to make a Complex Folder ....
thanks again
Gianluca

Hi Rod
In fact, most of the time, I take exactly the opposite approach and replicate my time folder over and over and over again, once for each of my main dates. Actually I have one master folder and use CTRL-C | CTRL-V to get my copies. I then create a join from each of my new date folders to a date in my main folders.
If I'm working with AP in Apps and I have a folder called AP Invoice Payments, that folder could have an Invoice Date, a Check Date and a Due Date. I will create three folders, one for each date so that the business area area looks like this:
AP IP Invoice Payments
AP IP Invoice Date
AP IP Due Date
AP IP Check Date
In the original AP IP Invoice Payments folder I will hide all three dates and teach my users to select from the new date folders. Both the Invoice Payments and Master time folders are based on materialized views, with all of the dates being indexed. The Master time folder has a primary key of the calendar date with indexes on the month, quarter and year. With hierarchies built on these indexed items I can drill through my fiscal time from all Due Date for year 2006 down to the quarters in a matter of seconds. I also scrap all Oracle date hierarchies as these never match my fiscal time and throw performance out the window when they point at an index. This is because of the TO_CHAR functions that must be applied.
Without a word of a lie I have clients whose Apps reports now run in less than 10 seconds, whereas the same report took over 2 hours using Oracle's crazy way of handling date hierarchies.
This technique above lies at the heart of all EULs that I build and I always get quick performance. Rod, when you say replicating folders will make the maintenance of your EUL more difficult I counter by saying that's fine by me. So long as the task for the end user is made easier it is perfectly correct to make the Admin's job more difficult. I tell my potential Admins that their job is to make life easier for the end users so if I catch them making their own job easier at the expense of the users I will come down hard on them. That's just not right. My Admins are there to support the end users not make their own lives easy. Unfortunately, too many Admins take the easy way out and don't go the extra mile.
I hope this different approach doesn't cause offence, but I just wanted to explain why I advocate replicating folders.
Best wishes
Michael

How to have fact and dimension which are not joined in same report

Hi All,
suppose we have 2 dimensions and 1 of them is joined to fact but we want to pull both these dimensions along with fact and fact column shows null but we dont want that .how can we have 2nd dimension which is not joined to fact in the same report .Actually i have a column called equipment schedueled time and it can be shown only with equipment dimension but I want to pull both equipment,geography and equipment scheduled time in report if I do it now it shows equipment scheduled time as null because its not joined with geography dimension.I want even if the geography dimension exists it should show the value of equipment scheduled time .
Can someone please help me.
Thanks in Advance

Hi ,
Can you please tell me what are fact and dimension tables of your requirement.If you want display the data from 2 dims and a fact table ,you have to establish the joins between facts and dimensions.
mark if helpful/correct...
thanks,
prassu

Join multiple fact tables and dimensions and use all tables in report issue

Hi,
I have a report requirements and need to use multiple fact tables and unconformed dimensions as described below
Fact table: F1,F2,F3
Dimensions tables: D1.....D9
F1:(joined to) D1,D2,D3,D4
F2::(joined to)D1,D2,D5,D6
F3::(joined to)D1,D2,D7,D8
D7::(joined to)D9,D8 (dimension D7 joined to two other dimensions D9 and D8
I'm trying to use columns from almost all the fact and dimension tables but getting "Unable to navigate requested expression. Please fix the metadata consistency warnings."
Repository is consistent and no errors and warnings.
How can I configure the repository to develop reports using all fact tables and dimensions?
Appreciate for your help.
Thanks
Jay.
Edited by: Jay on Feb 9, 2012 4:14 PM

So you want me to convert snowflake schema to star. does it solve my problem? individual star queries are working find but when I query multiple stars together getting inconsistency errors. I removed content tables dim level totals for unconformed dimensions in logical fact LTS and set level for measures at total level for unconformed dimensions. it is still in progress and need to test.
Thanks
Jay.

In Answers am seeing "Folder is Empty" for Logical Fact and Dimension Table

Hi All,
Am working on OBIEE Answers, on of sudden when i clicked on Logical Fact table it showed me as "folder is empty". I restarted all the services and then tried still showing same for Logical Fact and Dimension tables but am able to see all my reports in Shared Folders. I restarted the machine too but no change. Please help me out to resolve this issue.
Thanks in Advance.
Regards,
Rajkumar.

First of all, follow the forum etiquette :
http://forums.oracle.com/forums/ann.jspa?annID=939
React or mark as anwser the post that the user gave.
And for your question, you must check the log for a possible corrupt catalog :
OracleBIData_Home\web\log\sawlog0.log

Facts and dimensions joins

Hi,
Can we use three fact tables in rpd and not join them? We have three facts and four dimensions. All the four are common dimensions to the three fact tables. So in the physical joins can we just join the facts to the dimensions? will it be accepatble if we do not have a join between fact tables. Is it necessary that all the tables (fact and dimensions) need to be joined to some tabler? Can we leave the joins between the facts which are not necessary? Please advice.

We do not do joins between fact tables, the joins between facts will be happened through dimensions (conformed dimensions).
In your case the 4 dimension will act as an conformed one.
Is it necessary that all the tables (fact and dimensions) need to be joined to some tabler? You cannot have a table in BMM which is not joined to any other table.
Can we leave the joins between the facts which are not necessary?Yes, Dim1 - fact1 -Dim 2 in this fact 1 is connected with Dim1, Dim2 and there is no relationship for fact1 with Dim3 so we don't join it.
Dim1,Dim2,Dim3 is joined with fact2 in this case Dim 1 and Dim2 will act as conformed dimesion between fact1 and fact2, where as dim3 will be a non conformed dimesion.
Thanks,
Vino

Report Scenario of Facts and Dimensions

Hi All,
If the dimensions d1 and d2 are joined to f1 and dimensions d3 and d4 are joined to f2 then the report is expecting the data from the both the fact tables and one dimension table. How can be achieved? Please let me know on this.
Thanks in Advance.

Yes, I'm certain since this is one models dimensional (non)conformity.
Let's take your question: "drag those two facts f1, f2 and some dimension d3, will it show results?"
Well, what would you expect should happen? According to your own initial spec, d3 is only joined to f2. I know what will happen, but what do you expect to happen?

Multiple Facts at the same report

Hello gurus,
How can I use multiple facts at the same report using OBIEE 10g?
I followed the instructions of this website but it's not working...
http://obibb.wordpress.com/2010/05/31/multiple-fact-reporting-on-non-conforming-dimensions/
Physical Model:
ASSET (DIMENSION) ------------ ASSET (FACT) ----------------- PERSON (DIMENSION) ----------------- CAMPAIGN (FACT) ---------------- CAMPAIGN (DIMENSION)
Business Model:
ASSET (DIM) ---------------- FACT ------------------- CAMPAIGN (DIM)
                           (ASSET - CAMPAIGN)
                                        |
                                        |
                                        |
                                        |
                              PERSON (DIM)
Asset and Campaign: Non conformed Dimensions;
Person: Conformed Dimension;
Note that I want to use at my report some asset and campaign informations to answer questions like:
Wich assets were created after the campaign launch? or List of asset by person and campaigns.
Is it possible to do? I'm trying to change all kinds of column levels (Total/Detail) and it keeps sending an error like:
"Internal error: No matching table for expr Fact_W_CAMP_HIST_F_Teste.SOURCE_WID, File server/Query/Optimizer/SmartScheduler/PhysicalRequestGenerator/Src/SQOSPSimplifyJoin.cpp, line 118."
Thank you in advance.
Ramon Cortez

Hello,
Thank you for your help.
Now I'm getting this error: "None of the fact tables are compatible with the query request Fact.SOURCE_WID". ---> Fact.CAMPAIGN_WID
I'm actually not sure about the behaviour of the content tab. As I understood, I must use Total for non-conformed dimensions and detail for conformed, right?
In this case I have:
ASSET (DIMENSION) ------------ ASSET (FACT) ----------------- PERSON (DIMENSION) ----------------- CAMPAIGN (FACT) ---------------- CAMPAIGN (DIMENSION)
So, at Asset (FACT) content tab I have to set detail for Asset (DIM) and Person (DIM) and total for Campaign (DIM).
At Campaign (FACT) content tab I have to set detail for Campaign (DIM) and Person (DIM) and total for Asset (DIM).
But at the columns, if I set detail for Campaign(DIM) as total, all the other columns will show only Campaign at content tab. Why is it happening?
My requeriment measure is like:
SUM(CASE WHEN Asset.Date1 BETWEEN Campaign.DateA and Campaign.DateB AND Asset.Product = Campaign.Product and Asset.Status = 'Active' THEN 1 ELSE 0 END)
How can I do this using person as conformed dimension?
Thanks,
Ramon Cortez

Fact and dimension table partition

My team is implementing new data-warehouse. I would like to know that when should we plan to do partition of fact and dimension table, before data comes in or after?

Hi,
It is recommended to partition Fact table (Where we will have huge data). Automate the partition so that each day it will create a new partition to hold latest data (Split the previous partition into 2). Best practice is to create partition on transaction
timestamps so load the incremental data into a empty table called (Table_IN) and then Switch that data into main table (Table). Make sure your tables (Table and Table_IN) should be on one file group.
Refer below content for detailed info
Designing and Administrating Partitions in SQL Server 2012
A popular method of better managing large and active tables and indexes is the use of partitioning. Partitioning is a feature for segregating I/O workload within
SQL Server database so that I/O can be better balanced against available I/O subsystems while providing better user response time, lower I/O latency, and faster backups and recovery. By partitioning tables and indexes across multiple filegroups, data retrieval
and management is much quicker because only subsets of the data are used, meanwhile ensuring that the integrity of the database as a whole remains intact.
Tip
Partitioning is typically used for administrative or certain I/O performance scenarios. However, partitioning can also speed up some queries by enabling
lock escalation to a single partition, rather than to an entire table. You must allow lock escalation to move up to the partition level by setting it with either the Lock Escalation option of Database Options page in SSMS or by using the LOCK_ESCALATION option
of the ALTER TABLE statement.
After a table or index is partitioned, data is stored horizontally across multiple filegroups, so groups of data are mapped to individual partitions. Typical
scenarios for partitioning include large tables that become very difficult to manage, tables that are suffering performance degradation because of excessive I/O or blocking locks, table-centric maintenance processes that exceed the available time for maintenance,
and moving historical data from the active portion of a table to a partition with less activity.
Partitioning tables and indexes warrants a bit of planning before putting them into production. The usual approach to partitioning a table or index follows these
steps:
1. Create
the filegroup(s) and file(s) used to hold the partitions defined by the partitioning scheme.
2. Create
a partition function to map the rows of the table or index to specific partitions based on the values in a specified column. A very common partitioning function is based on the creation date of the record.
3. Create
a partitioning scheme to map the partitions of the partitioned table to the specified filegroup(s) and, thereby, to specific locations on the Windows file system.
4. Create
the table or index (or ALTER an existing table or index) by specifying the partition scheme as the storage location for the partitioned object.
Although Transact-SQL commands are available to perform every step described earlier, the Create Partition Wizard makes the entire process quick and easy through
an intuitive point-and-click interface. The next section provides an overview of using the Create Partition Wizard in SQL Server 2012, and an example later in this section shows the Transact-SQL commands.
Leveraging the Create Partition Wizard to Create Table and Index Partitions
The Create Partition Wizard can be used to divide data in large tables across multiple filegroups to increase performance and can be invoked by right-clicking
any table or index, selecting Storage, and then selecting Create Partition. The first step is to identify which columns to partition by reviewing all the columns available in the Available Partitioning Columns section located on the Select a Partitioning Column
dialog box, as displayed in Figure 3.13. This screen also includes additional options such as the following:
Figure 3.13. Selecting a partitioning column.
The next screen is called Select a Partition Function. This page is used for specifying the partition function where the data will be partitioned. The options
include using an existing partition or creating a new partition. The subsequent page is called New Partition Scheme. Here a DBA will conduct a mapping of the rows selected of tables being partitioned to a desired filegroup. Either a new partition scheme should
be used or a new one needs to be created. The final screen is used for doing the actual mapping. On the Map Partitions page, specify the partitions to be used for each partition and then enter a range for the values of the partitions. The
ranges and settings on the grid include the following:
Note
By opening the Set Boundary Values dialog box, a DBA can set boundary values based on dates (for example, partition everything in a column after a specific
date). The data types are based on dates.
Designing table and index partitions is a DBA task that typically requires a joint effort with the database development team. The DBA must have a strong understanding
of the database, tables, and columns to make the correct choices for partitioning. For more information on partitioning, review Books Online.
Enhancements to Partitioning in SQL Server 2012
SQL Server 2012 now supports as many as 15,000 partitions. When using more than 1,000 partitions, Microsoft recommends that the instance of SQL Server have at
least 16Gb of available memory. This recommendation particularly applies to partitioned indexes, especially those that are not aligned with the base table or with the clustered index of the table. Other Data Manipulation Language statements (DML) and Data
Definition Language statements (DDL) may also run short of memory when processing on a large number of partitions.
Certain DBCC commands may take longer to execute when processing a large number of partitions. On the other hand, a few DBCC commands can be scoped to the partition
level and, if so, can be used to perform their function on a subset of data in the partitioned table.
Queries may also benefit from a new query engine enhancement called partition elimination. SQL Server uses partition enhancement automatically if it is available.
Here’s how it works. Assume a table has four partitions, with all the data for customers whose names begin with R, S, or T in the third partition. If a query’s WHERE clause
filters on customer name looking for ‘System%’, the query engine knows that it needs only to partition three to answer
the request. Thus, it might greatly reduce I/O for that query. On the other hand, some queries might take longer if there are more than 1,000 partitions and the query is not able to perform partition elimination.
Finally, SQL Server 2012 introduces some changes and improvements to the algorithms used to calculate partitioned index statistics. Primarily, SQL Server 2012
samples rows in a partitioned index when it is created or rebuilt, rather than scanning all available rows. This may sometimes result in somewhat different query behavior compared to the same queries running on SQL Server 2012.
Administrating Data Using Partition Switching
Partitioning is useful to access and manage a subset of data while losing none of the integrity of the entire data set. There is one limitation, though. When
a partition is created on an existing table, new data is added to a specific partition or to the default partition if none is specified. That means the default partition might grow unwieldy if it is left unmanaged. (This concept is similar to how a clustered
index needs to be rebuilt from time to time to reestablish its fill factor setting.)
Switching partitions is a fast operation because no physical movement of data takes place. Instead, only the metadata pointers to the physical data are altered.
You can alter partitions using SQL Server Management Studio or with the ALTER TABLE...SWITCH
Transact-SQL statement. Both options enable you to ensure partitions are
well maintained. For example, you can transfer subsets of data between partitions, move tables between partitions, or combine partitions together. Because the ALTER TABLE...SWITCH statement
does not actually move the data, a few prerequisites must be in place:
• Partitions must use the same column when switching between two partitions.
• The source and target table must exist prior to the switch and must be on the same filegroup, along with their corresponding indexes,
index partitions, and indexed view partitions.
• The target partition must exist prior to the switch, and it must be empty, whether adding a table to an existing partitioned table
or moving a partition from one table to another. The same holds true when moving a partitioned table to a nonpartitioned table structure.
• The source and target tables must have the same columns in identical order with the same names, data types, and data type attributes
(length, precision, scale, and nullability). Computed columns must have identical syntax, as well as primary key constraints. The tables must also have the same settings for ANSI_NULLS and QUOTED_IDENTIFIER properties.
Clustered and nonclustered indexes must be identical. ROWGUID properties
and XML schemas must match. Finally, settings for in-row data storage must also be the same.
• The source and target tables must have matching nullability on the partitioning column. Although both NULL and NOT
NULL are supported, NOT
NULL is strongly recommended.
Likewise, the ALTER TABLE...SWITCH statement
will not work under certain circumstances:
• Full-text indexes, XML indexes, and old-fashioned SQL Server rules are not allowed (though CHECK constraints
are allowed).
• Tables in a merge replication scheme are not allowed. Tables in a transactional replication scheme are allowed with special caveats.
Triggers are allowed on tables but must not fire during the switch.
• Indexes on the source and target table must reside on the same partition as the tables themselves.
• Indexed views make partition switching difficult and have a lot of extra rules about how and when they can be switched. Refer to
the SQL Server Books Online if you want to perform partition switching on tables containing indexed views.
• Referential integrity can impact the use of partition switching. First, foreign keys on other tables cannot reference the source
table. If the source table holds the primary key, it cannot have a primary or foreign key relationship with the target table. If the target table holds the foreign key, it cannot have a primary or foreign key relationship with the source table.
In summary, simple tables can easily accommodate partition switching. The more complexity a source or target table exhibits, the more likely that careful planning
and extra work will be required to even make partition switching possible, let alone efficient.
Here’s an example where we create a partitioned table using a previously created partition scheme, called Date_Range_PartScheme1.
We then create a new, nonpartitioned table identical to the partitioned table residing on the same filegroup. We finish up switching the data from the partitioned table into the nonpartitioned table:
CREATE TABLE TransactionHistory_Partn1 (Xn_Hst_ID int, Xn_Type char(10)) ON Date_Range_PartScheme1 (Xn_Hst_ID) ; GO CREATE TABLE TransactionHistory_No_Partn (Xn_Hst_ID int, Xn_Type
char(10)) ON main_filegroup ; GO ALTER TABLE TransactionHistory_Partn1 SWITCH partition1 TO TransactionHistory_No_Partn; GO
The next section shows how to use a more sophisticated, but very popular, approach to partition switching called a sliding
window partition.
Example and Best Practices for Managing Sliding Window Partitions
Assume that our AdventureWorks business is booming. The sales staff, and by extension the AdventureWorks2012 database, is very busy. We noticed over time that
the TransactionHistory table is very active as sales transactions are first entered and are still very active over their first month in the database. But the older the transactions are, the less activity they see. Consequently, we’d like to automatically group
transactions into four partitions per year, basically containing one quarter of the year’s data each, in a rolling partitioning. Any transaction older than one year will be purged or archived.
The answer to a scenario like the preceding one is called a sliding window partition because
we are constantly loading new data in and sliding old data over, eventually to be purged or archived. Before you begin, you must choose either a LEFT partition function window or a RIGHT partition function window:
1. How
data is handled varies according to the choice of LEFT or RIGHT partition function window:
• With a LEFT strategy, partition1 holds the oldest data (Q4 data), partition2 holds data that is 6- to 9-months old (Q3), partition3
holds data that is 3- to 6-months old (Q2), and partition4 holds recent data less than 3-months old.
• With a RIGHT strategy, partition4 holds the holds data (Q4), partition3 holds Q3 data, partition2 holds Q2 data, and partition1
holds recent data.
• Following the best practice, make sure there are empty partitions on both the leading edge (partition0) and trailing edge (partition5)
of the partition.
• RIGHT range functions usually make more sense to most people because it is natural for most people to to start ranges at their lowest
value and work upward from there.
2. Assuming
that a RIGHT partition function windows is used, we first use the SPLIT subclause of the ALTER PARTITION FUNCTIONstatement
to split empty partition5 into two empty partitions, 5 and 6.
3. We
use the SWITCH subclause
of ALTER TABLE to
switch out partition4 to a staging table for archiving or simply to drop and purge the data. Partition4 is now empty.
4. We
can then use MERGE to
combine the empty partitions 4 and 5, so that we’re back to the same number of partitions as when we started. This way, partition3 becomes the new partition4, partition2 becomes the new partition3, and partition1 becomes the new partition2.
5. We
can use SWITCH to
push the new quarter’s data into the spot of partition1.
Tip
Use the $PARTITION system
function to determine where a partition function places values within a range of partitions.
Some best practices to consider for using a slide window partition include the following:
• Load newest data into a heap, and then add indexes after the load is finished. Delete oldest data or, when working with very large
data sets, drop the partition with the oldest data.
• Keep an empty staging partition at the leftmost and rightmost ends of the partition range to ensure that the partitions split when
loading in new data, and merge, after unloading old data, do not cause data movement.
• Do not split or merge a partition already populated with data because this can cause severe locking and explosive log growth.
• Create the load staging table in the same filegroup as the partition you are loading.
• Create the unload staging table in the same filegroup as the partition you are deleting.
• Don’t load a partition until its range boundary is met. For example, don’t create and load a partition meant to hold data that is
one to two months older before the current data has aged one month. Instead, continue to allow the latest partition to accumulate data until the data is ready for a new, full partition.
• Unload one partition at a time.
• The ALTER TABLE...SWITCH statement
issues a schema lock on the entire table. Keep this in mind if regular transactional activity is still going on while a table is being partitioned.
Thanks Shiven:) If Answer is Helpful, Please Vote

How to design fact and dimension tables

Hi Team,
Please provide me some useful links!!
I have a Parent & Child table each has around 8 Million records (1 to many relation). These two tables need relation with many other master tables to generate any report.
I want to desing a fact and dimension(s) for this parent & Child tables.
Please help me what are the things I have to keep in mind when desingning datawarehouse fact and dimension tables?
Thanks,
Ali

Hi, any update on this?

Fact and Dimension Linking

Hi,
Is it possible to link Fact and Dimension tables with two conditions using OR.
I have one dimension table for Customer Sites where Site_Use_ID (Pk).
But in my Fact table, Bill_To_Site_Use_ID and Ship_To_Site_Use_ID
SITE_USE_ID = BILL_TO_SITE_USE_ID OR
SITE_USE_ID = SHIP_TO_SITE_USE_ID
So, I need to join Customer sites Dimension with Fact and it is possible with OR condition. How can I specify these two condition while linking..
Thanks in Advance,
-Vency

Hi Daan Bakboord,
I tried those things.
I have already tried to create complex join in Physical Layer but unfortunately it is saying that "The column 'SITE_USE_ID" is used more than once". So, I am unable to create complex join.
Coming to creating Alias Table.. If I create Alias for that table then I need to show both the tables to the user (in Presentation Layer) so that he/she can select BILL_TO from one and SHIP_TO from another table.
But I am trying to get it with only one Table.
Thanks for giving reply,
-Vency

Fact and Dimension tables

Hi all,
Please let me know the relation between the fact and dimension table(s).
regards
chandra kanth.

Hi Chandra, it would be useful if you read a little bit about BI before start working with a BI tool.
Anyway, I'll try to help you.
A dimension is a structure that will be join to the fact table to so that users can analyze data from different point of views and levels. The fact table will most probably (not always) have data at the lowest possible level. So, let's suppose you have SALES data for different cities in a country (USA). Your fact table will be:
CITY --- SalesValue
Miami --- 100
NYC --- 145
Los Angeles --- 135 (because Arnold is not managing the State very well ;-) )
You will then can have a Dimension table with the "Country" structure. This is, a table containing the different cities along with their states, counties, and finally the country. So your dimension table would look like:
NATION --- STATE --- COUNTY --- CITY
USA --- Florida --- Miami --- Miami
USA --- NY ---- NY --- NYC
USA --- Los Angeles --- LA --- Los Angeles
This dimension will allow you to aggregate the data at dffirent lavels. This is, the user will not only be able to see data at the lowest level, but also at the County, State and Country level.
You will join your fact table (field CITY) with your dimension table (field CITY). The tool will then help you with the aggregation of the values.
Ihope this helps.
J.-

Join multiple facts and dimensions for reporting issue

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