Dense and Sparse Dimensions

When defining which dimensions are sparse or dense in the outline I'm a little confused because you can't determine this until you know which measure you are refering to. A certain measure might be dense against "A" and "B" dimension and a different measure might be sparse against the same dimension. Can someone explain to me how this works with this scenerio?

You are describing a common catch-22 with Essbase - unfortunately the specification of storage is at the dimension level in Essbase - not the intersection level.There are a few things you can do - you could try the "offending" dimension in either configuration and see which performs better and meets your calc requirements.If its really a problem in terms of storage and performance, and neither configuration works, you could consider splitting the database into two and each can have its own configuration. The drawback is that the users must know which cube contiains which data. You could partition the two cubes together, but it is not recommended that you partition cubes with different sparse/dense configurations, as there can be a significant impact on retrieval performance.Probably not the answer you were looking for, but its the only one I can think of without more details.Regards,Jade----------------------------------Jade ColeSenior Business Intelligence ConsultantClarity [email protected]

Similar Messages

  • Sparse VS Dense and neglecting Period Dimension

    Hi All,
    I am working on a classic planning application, in which i have 3 custom dimensions apart from six standard dimension. As the application grows and we start developing business rule we feel the need for optimization of our application hence along with increasing Cache Size, Block Size etc. we also make changes in JVM registry and lastly we also convert our Custom dimension to Dense from Sparse. As we are always using these dimension at either row/columns. Now i have to different questions:
    1) there are three custom attributes associated with one of my Custom dimension with 150descendants, so if i change it to Dense then i loss those three custom attributes. So is there any way to convert this from sparse to dense while having the attributes with it. Note: I am using this dimension on Row and i only want to convert it to dense in order to enhance performance. The motivation behind this change is that i piratically experiment that the business rules that take more then 20mins to executes just execute in less than a minute when i convert the other 2 custom dimensions from sparse to dense.
    2) I am not using Period Dimension in my application, because my need are fulfiled by year dimension only, so is there any way to delete it or neglect it while processing business rules?

    Hello,
    Your question gets into some advanced design topics fairly quickly and you may want to engage an experienced consultant to help you.
    It sounds like your application is past the design stage and you are making what are design level changes which is a likely risk to your project delivery time frames.
    Regarding the conversion of the dimension from sparse to dense -- there is no way to tag a dense dimension as an attribute.
    Review Chapter 10 of the Database Admin Guide at http://docs.oracle.com/cd/E17236_01/epm.1112/esb_dbag/frameset.htm?dattrib.html#dattrib524566
    Pay special attention to the "Understanding the Rules for Base and Attribute Dimensions and Members".
    In addition to loosing the attribute dimension please be aware of the implication to block size. Switching a sparse to a dense has a multiplicative effect on your block size; you should make all upper level members dynamic calc and then the number of level 0 members time your old block size will be your new block size.
    On the topic of your period dimension you may want to try renaming it and using it for one of your other dimension needs if you do not require month level data.
    On the topic of calculation speed you can usually make re-write your calculations to make them dense. In your instance it may be a good idea to make your years dense to use that to facilitate creating dense calculations.
    Good luck,
    John A. Booth
    http://www.metavero.com

  • FIX STATEMENT AND LARGE SPARSE DIMENSIONS

    Hello all,
    We have the following Essbase BSO db;
    Account (Dense) (285 Members) (Aggregating Dimension)
    Period (Dense) (65 Members) (Aggregating Dimension)
    D1 (Sparse) (3700 Members)
    (Aggregating Dimension)
    D2 (Sparse) (8900 Members)
    (Aggregating Dimension)
    D3 (Sparse) (15000 Members)
    (Aggregating Dimension)
    Version (Sparse) (3 Members) (NON-Aggregating Dimension)
    Scenario (Sparse) (5 Members) (NON-Aggregating Dimension)
    Year (Sparse) (3 Members) (NON-Aggregating Dimension)
    Currency (Sparse) (11 Members) (NON-Aggregating Dimension)
    D4 (Sparse) (20 Members) (NON-Aggregating Dimension)
    Block Size = ~150KM
    Index Cache = 4GB
    Data Cache = 8GB
    CPUs = 8
    MEMORY FREE = 26GB
    NOTE:
    We are executing the database with data loaded for "JUST" 10 BLOCKS,
    SO
    VERY VERY SMALL VOLUME OF DATA!!!
    We have come across a rather irritating and strange issue while executing
    the following calc;
    CASE 1: With LEVEL-0 OF RELEVANT
    SPARSE DIMENSIONS IN FIX STATEMENT
    //ESS_LOCALE English_UnitedStates.Latin1@Binary
    SET MSG ERROR;
    SET CACHE HIGH;
    SET UPDATECALC OFF;
    SET LOCKBLOCK HIGH;
    SET AGGMISSG OFF;
    SET CALCPARALLEL 4;
    SET CREATENONMISSINGBLK OFF;
    FIX(ACTUAL,"2013",@LEVMBRS(D1,0),@LEVMBRS(D2,0),@LEVMBRS(D3,0),@LEVMBRS(D4,0),
    @RELATIVE("EBITDA",0))
    DATACOPY ARS->CURRENCY_VERSION TO ARS->WORKING;
    DATACOPY CAD->CURRENCY_VERSION TO CAD->WORKING;
    DATACOPY CHF->CURRENCY_VERSION TO CHF->WORKING;
    DATACOPY COP->CURRENCY_VERSION TO COP->WORKING;
    DATACOPY EUR->CURRENCY_VERSION TO EUR->WORKING;
    DATACOPY GBP->CURRENCY_VERSION TO GBP->WORKING;
    DATACOPY MXN->CURRENCY_VERSION TO MXN->WORKING;
    DATACOPY CNY->CURRENCY_VERSION TO CNY->WORKING;
    ENDFIX
    $$$$$$NOTE1: The above FIX STATEMENT
    works just fine and executes in 1 sec as its just a DATACOPY. ESSENTIALLY I
    HAVE CREATED THE BLOCKS I WANT TO PERFORM THE BELOW SPARSE CALCULATION$$$$$$
    FIX(ACTUAL,"2013",@LEVMBRS(D1,0),@LEVMBRS(D2,0),@LEVMBRS(D3,0),@LEVMBRS(D4,0),
    @RELATIVE("EBITDA",0))
    ARS = ARS->CURRENCY_VERSION *
    "ARS_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CAD = ARS->CURRENCY_VERSION *
    "CAD_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CHF = ARS->CURRENCY_VERSION *
    "CHF_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    COP = ARS->CURRENCY_VERSION *
    "COP_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    EUR = ARS->CURRENCY_VERSION *
    "EUR_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    GBP = ARS->CURRENCY_VERSION *
    "COP_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    MXN = ARS->CURRENCY_VERSION *
    "MXN_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CNY = ARS->CURRENCY_VERSION *
    "CNY_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    ENDFIX
    $$$$$$NOTE2: The above FIX STATEMENT
    is where we have a problem, THE CALC JUST HANGS AND DOES NOT CALCULATE$$$$$$
    CASE 2: With “specific” members of
    RELEVANT SPARSE DIMENSIONS IN FIX STATEMENT
    //ESS_LOCALE English_UnitedStates.Latin1@Binary
    SET MSG ERROR;
    SET CACHE HIGH;
    SET UPDATECALC OFF;
    SET LOCKBLOCK HIGH;
    SET AGGMISSG OFF;
    SET CALCPARALLEL 4;
    SET CREATENONMISSINGBLK OFF;
    FIX(ACTUAL,"2013",W1,"2251026",MORSCREJWHITE,MORSCREJWHITE_S,KG,TRADESALES)
    DATACOPY ARS->CURRENCY_VERSION TO ARS->WORKING;
    DATACOPY CAD->CURRENCY_VERSION TO CAD->WORKING;
    DATACOPY CHF->CURRENCY_VERSION TO CHF->WORKING;
    DATACOPY COP->CURRENCY_VERSION TO COP->WORKING;
    DATACOPY EUR->CURRENCY_VERSION TO EUR->WORKING;
    DATACOPY GBP->CURRENCY_VERSION TO GBP->WORKING;
    DATACOPY MXN->CURRENCY_VERSION TO MXN->WORKING;
    DATACOPY CNY->CURRENCY_VERSION TO CNY->WORKING;
    ENDFIX
    $$$$$$NOTE3: The above FIX STATEMENT
    works just fine and executes in 1 sec as its just a DATACOPY. ESSENTIALLY I
    HAVE CREATED THE BLOCKS I WANT TO PERFORM THE BELOW SPARSE CALCULATION$$$$$$
    FIX(ACTUAL,"2013","2251026",MORSCREJWHITE,MORSCREJWHITE_S,KG,WORKING)
    ARS = ARS->CURRENCY_VERSION *
    "ARS_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CAD = CAD->CURRENCY_VERSION *
    "CAD_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CHF = CHF->CURRENCY_VERSION *
    "CHF_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    COP = COP->CURRENCY_VERSION *
    "COP_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    EUR = EUR->CURRENCY_VERSION *
    "EUR_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    GBP = GBP->CURRENCY_VERSION *
    "GBP_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    MXN = MXN->CURRENCY_VERSION * "MXN_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    CNY = CNY->CURRENCY_VERSION *
    "CNY_RATE"->"NO_CURRENCY"->"C_NONE"->"L_NONE"->"S_NONE"->"U_NONE"->WORKING;
    ENDFIX
    $$$$$$NOTE4: The above FIX
    STATEMENT works just fine, as I am fixing on just ONE member from relevant
    dimensions in the FIX STATEMENT$$$$$$
    Please note the only difference between NOTE 2
    and NOTE 4 is the FIX statements. I.e., Fixing all required lev-0 members from
    required dimensions as opposed to Fixing on just single lev-0 members from
    required dimensions.
    Also please note that NOTE 1 FIX statement works
    just fine! So, there is no problem with the FIX statement itself but rather
    with the combination of Sparse Calculations and with Fixing all LEV-0 members
    from required dimension in the FIX. Probably because the Sparse dimensions are
    VERY LARGE.
    Could anyone shed some light on what might be wrong here?
    We are on Essbase standalone V11.1.2.
    Your inputs are very much appreciated!
    Thanks

    Hi,
    One minor thing I notice - your NOTE 2 problem script does not fix on your Working version, whereas the NOTE 4 script does.
    With your small number of blocks, this should not be the problem, but it's probably worth quickly testing and eliminating before delving deeper.
    Your script could be invoking member formulae from the Account dimension - does your outline validate ok..?
    I cannot tell from your NOTE 4 script which member relates to the Account dimension - is it 2251026?
    Whichever it is, it is worth expanding NOTE 4 script up to @RELATIVE("EBITDA",0)....
    - if it runs, you know the problem is with your sparse member selections (ie number of blocks being calculated).
    - If it doesn't run, then you know there is a problem in calculating one or more of the Accounts under EBITDA.  In which case, gradually narrow the range of Accounts to locate the Account or Accounts that trigger the issue.  Chances are there's a problem with the member formula

  • FIX on Sparse Dimensions.

    Hi,
    I know that FIX can be used on both Sparse as well as Dense Dimensions. But its more efficient when used on Sparse Dimensions. Is there any logic behind...? Coz the functionality of FIX is to restrict the dimensions and members, but why is it more effective in Sparse...?
    Please let me know...
    Thanks,

    If you fix on a sparse dimension you restrict the data blocks that must be accessed; thus it is faster.
    If you fix on a dense dimension the calculation must go through every data block.
    Please also refer to http://www.network54.com/Forum/58296/thread/1208974485/Order+of+Fixes+-Doesit+matter-

  • Attribute dimensions may only be added to sparse dimensions

    Hello everyone,
    I got this error several times. It wouldn't be so surprising for me if my Account dimension would be set as dense. But it is set to be sparse...
    Could anyone help me with this?
    Maybe some details will be helpfull:
    I have created an attribute dimension with only one member - "Yes". Then, I have created flat file for Account dimension with 6 custom properties, every property associated with the attribute dimension. Account dim is set as sparse, not dense. Importing flat file results ok, with no errors and warnings. Validating the application is ok.

    Hi Andy,
    I'm using only Plan1 and account dimension is set as sparse in this plan type.
    What do you mean with "refreshing"? I'm doing redeploy of the whole application from EPMA. Or should I try refreshing the database from the application? I think the first step may be the redeploy. Or am I wrong?
    Thanks,
    Vlado

  • Sparse Dimension

    Hello,
    Recently Added 2 alternate heirarchies to a sparse dimension. I have made all the parents of alternate Heirarchies dynamic while all the lev0 are shared. while the parents and Lev0 for main heirarchy are stored.
    1) Is it a good practise to have parents of alternate Heirarchy Dynamic? since its a sparse dimension.
    2) My .pag size has increased ? why would adding shared members increase the .pag size?
    3) also my Calc time has gone up... simple Agg which is fixed for single month and year which initially used to take 6 mins is taking 15 mins... Any advice on improving the calc time?
    Thank You for your help.

    1) This is usually not a good practice, as dynamic calcs on sparse dimensions can cause a lot of I/O during a retrieval. This can have an adverse affect on retrieve performance. Sometimes you can get away with it if
    there aren't a lot of members under the dynamic member though.
    2) I recently had a similar question on Network54. In my case, the answer was likely fragmentation. Does your .pag size go down after a dense restructure?
    3) What happens if you say *@IDESC(Stored Parent Name);* instead of AGG (Dimension);. Any difference?
    Hope this helps,
    - Jake

  • Sparse dimension problem (2)

    This message is for Jade Cole and Farid Rashid:I'm working on Hyperion Essbase 5.0.2 patch 11 and when you assign a constant to a member in a sparse dimension, Essbase DOESN'T create data blocks for sparse dimension member combinations!!! It must be a bug!!! I have replicated the situation on Hyperion Essbase 6.0 and works fine.Thank you,Lucas.

    You need to restrict the CLEARDATA further, as it seems to be deleting the entire block. Hence, the Account = 1 is failing.There are a few ways to remedy the problem - one way would be to use DATACOPY to create the Enterprise1 and Enterprise2 blocks, but you would need a source member that had numbers.The other thing you could do is re-arrange the formula so that a sparse member appears on the left hand side of the equation, rather than a dense member. This will create the blocks and populate the values, but you should be careful, as it may create more blocks than you want.Hope that helps.Regards,Jade-------------------------------Jade ColeSenior Business Intelligence ConsultantClarity [email protected]

  • Why should we associate attribute dimension to base sparse dimension only

    hi experts,
    I have query, please suggest that.
    Why should we associate attribute dimension to base sparse dimension only ? any reason is there.
    thanks in advance

    Have a read of - why attribute dimension attached to sparse dimension and Attribute Dimension and association with multi level base members
    Cheers
    John
    http://john-goodwin.blogspot.com/

  • Re-Order the Sparse Dimensions

    Hi,
    We have a typical scenario where in we need to change the order of sparse dimensions in the outline.The cube is already in use,however,as we got rid of few members in one of the sparse dimension and we want to change the order of sparse dimensions in the outline to enhance the performance.
    My question here is,
    1.How to change the order of the sparse dimensions in the outline?
    2.What would be the impact?
    Any quick response on this is highly appreciated !!
    Thanks,
    RNG

    1) We can improve calculation performance by changing the order of standard (not attribute) sparse dimensions in the database outline. We can Order standard sparse dimensions by the number of members they contain, placing the dimension that contains the fewest members first.
    This arrangement provides a number of possible improvements, depending on the site:
    ●The calculator cache functions more effectively, providing approximately a 10% performance improvement if you have a database outline with a very large dimension (for example, a dimension containing 1000 members).
    ●Parallel calculation, if enabled, is more likely to be used if the standard sparse dimension with the most members is the last standard sparse dimension in the outline.
    2) I think there would not be an any impact...
    JSA

  • Setting Evaluation order and Reordering dimension

    hi i was going through the hp admin pdf and i have a few doubts
    what do you mean by setting the evaluation option in planning means and why is it reccomended to select only one dimension(setting evaluation order)
    in "About Reordering Dimensions" topic it was mentioned about the ordering of aggregating sparse dimensions before non aggregatin ones , what are these two types and also it was said to arrange the sparse dimensions in the order of more sparse members to less sparse members but isnt it the opposite way around i mean as per the hour glass model the order should be from least sparse to most sparse dimension and attribute dimension in the end
    what exactly is the diffrence in Setting Evaluation Order and Reordering dimensions ?

    Reording the dimensions sets the order of the dimensions in essbase, reordering the dimensions can be part of optimizing the database.
    Setting the evaluation order is more to do with how the dimensions are evaluated in forms, so if account is set to be first then the properties of the account members data type will be used first, for instance if the account member is set to Percentage then member will be displayed as a percentage.
    Cheers
    John
    http://john-goodwin.blogspot.com/

  • Aggregate only portion of sparse dimension

    System 9 BI+(9.3) - Here's my problem.
    I need to aggregate only a portion of a sparse dimension.
    All members are stored data. Dimension looks like this:
    Total Europe
    -Western Europe
    --France
    --Germany
    --United Kingdom
    --Iberia
    ---Spain
    ---Portugal
    -Central Europe
    -Eastern Europe
    I tried
    FIX(May, 2009, @IDESCENDANT("Iberia"))
    agg(Products,Channel)
    ENDFIX
    but all it does is aggregate Spain and Portugal, but not Iberia.
    I also tried
    FIX(May, 2009, @IDESCENDANT("Western Europe"))
    agg(Products,Channel)
    ENDFIX
    but again all it does is aggregate France, Germany, Spain, Portugal, bit not Iberia or Western Europe.
    Any ideas/assiatnce appreciated.

    The comment on Network54 (sorry, I forgot who posted it) is on the money -- you are not aggregating Region/Geography/whatever your dimension is called.
    Assuming your dimension order is:
    Region
    Products
    Channel
    I would write a script like:
    FIX(@LEVMBRS("Products", 0), @LEVMBRS("Channel", 0))
    @IDESCENDANTS("Iberia") ;
    ENDFIX
    FIX(@IDESCENDANTS("Iberia"))
    AGG("Products", "Channel") ;
    ENDFIX
    You will have to rearrange this a little bit if your dimension order is different. As an example, if your dimension order is Products, Region, Channel, your code might look like:
    FIX(@RELATIVE("Iberia", 0), @LEVMBRS("Channel"))
    AGG("Products") ;
    ENDFIX
    FIX(@IDESCENDANTS("Products"), @LEVMBRS("Channel"))
    @IDESCENDANTS("Iberia") ;
    ENDFIX
    FIX(@IDESCENDANTS("Products"), @IDESCENANTS("Iberia"))
    AGG("Channel") ;
    ENDFIX
    This may look painful, but you may find a significant performance increase.
    Take a look at my blog post, ignore all the Planning stuff, and jump to the bit where I explain how a BSO db consolidates. The concept is identicial to the one I outline above. Here's the link: http://camerons-blog-for-essbase-hackers.blogspot.com/2009/06/why-i-hate-and-love-business-rules-part_17.html
    Regards,
    Cameron Lackpour

  • How to populate member values to Year and Period Dimensions

    Hi,
    I have set up the following members in account dimension:
    Lease From (Date Type)
    Lease To (Date Type)
    Lease Amount (Currency Type)
    If I input Jan-2012 in Lease From, Nov-2013 in Lease To and 1,000 in Lease Amount, all in BegBalance->Fy12, how can I populate the 1,000 to the correponding Period and Year dimensions using business rule. I need 1,000 in Lease Amount->Fy12->Jan all way through to Lease Amount->Fy13->Nov. I do not want to create a input form with all the years and periods for monthly input as I may have over 100 lease information with different from and to dates.
    Or is there any alternate method I can get the expected results.
    Thanks.

    Hi
    This is a really complex problem! It may help you to look at the documentation around the CapEx planning module as this is Oracle's take on calculating asset depreciation etc on a similar basis (create asset in BegBalance -> NoYear and calculate which periods to poulate depreciation data in using dates, variables and rules). The business rules are presented in full in the doc below but I warn you the code is complex and not easy to understand, although you may get the principles
    http://docs.oracle.com/cd/E17236_01/epm.1112/cpx_admin_11122.pdf
    You ought to be able to do something using dates and period / year indicies (remember dates are stored in Essbase in something like the format YYYYMMDD, e.g. 20121107 so should be easy to compare whether the date for the period is within range of the dates entered).
    I have also tried to do something similar using smartlists in a prototype before but this proved a bit more complicated and not necessarily any more reliable than using dates
    Hope this helps
    Stuart

  • Date and Time dimensions

    After reading the following article, I have decided to use SSAS dimension wizard for generating our Date dimension, which creates a DATETIME PK.
    http://www.made2mentor.com/2011/05/date-vs-integer-datatypes-as-primary-key-for-date-dimensions/ 
    I have also created a separate Time dimension as granularity of an hour is required.
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    Our Fact table will now have a link to both the Date and Time dimension using the PK's.
    Our analysis is required by hour, day, week, month and year.
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    Hi Darren,
    According to your description, there a day and hour granularity in your fact table, so you want to a hierarchy like Hour - Day - Week - Month - Year, right?
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    http://www.ssas-info.com/analysis-services-articles/59-time-dimension/1224-date-and-time-dimensions-template
    http://www.codeproject.com/Articles/25852/Creating-Time-Dimension-in-Microsoft-Analysis-Serv
    Regards,
    Charlie Liao
    TechNet Community Support

  • Resolving loops in a star schema with 5 fact tables and 6 dimension tables

    Hello
    I have a star schema, ie 5 FACT tables and 7 dimension tables, All fact tables share the same dimension tables, some FACT tables share 3 dimesnsions, while other share 5 dimensions.  
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    Hi Patil,
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    Fact B, joins Dim 1, Dim 2, Dim 3, Dim 4 and Dim 5
    Fact C, joins Dim 1, Dim 2, Dim 3, Dim 4 and Dim 6
    Fact D, joins Dim 1, Dim 2, Dim 3, Dim 4 and Dim 7
    Fact E, joins Dim 1, Dim 2, Dim 4 and Dim 6
    If each of these are contexts are done and just cover the joins from fact to dim then you should be not get loops.
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    Regards
    Alan

  • Currency and Groups Dimensions in Legal Consolidation, BPC 7.5

    Dear BPC Experts:
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    2. How to move data in currency diemnsion into corresponding members in GROUPS dimension?
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    Best Regards,
    Fred Cheng

    Hi Collet,
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    G_CG1                XXXX                          USD                                                                 E_CG1
    G_CG2                XXX                            USD                                   G_CG1                   E_CG2
    G_CG3                XXXX                          USD                                   G_CG2                   E_CG3
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