Incremental Load in Aggregate Storage

Hi, From what I understand, Aggregate Storage (ASO) clears all dataif a new member gets added to the outline.This is unlike Block Storage (BSO) where we can restructure thecube if new member is added to the outline. We need to load data daily into an ASO cube and the cubecontains 5 yrs of data. We may get a new member in the customerdimension daily. Is there a way we can retain (restructure)existing data when updating the customer dimension and then add thenew data? Otherwise, we will have to rebuild the cube daily andtherefore reload 5 yrs of data (about 600 million recs) on a dailybasis. Is there a better way of doing this in ASO? Any help would be appreciated. Thanks--- suren_v

Good information Steve. Is the System 9 Essbase DB Admin Guide available online? I could not find it here: <a target=_blank class=ftalternatingbarlinklarge href="http://dev.hyperion.com/resource_library/technical_documentation">http://dev.hyperion.com/resour...echnical_documentation</a> (I recently attended the v7 class in Dallas and it was excellent!) <blockquote>quote: <hr>Originally posted by: scran4d Suren: In the version 7 releases of Essbase ASO, there is not a way to hold on to the data if a member is added to the outline; data must be reloaded each time. This is changed in Hyperion's latest System 9 release, however.<hr></blockquote>

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Aggregate Storage Backup level 0 data

When exporting level 0 data from aggregate storage through abatch job you can use a maxL script with "export database[dbs-name] using server report_file [file_name] to data_file[file_name]". But how do I build a report script that exportsall level 0 data so that I can read it back with a load rule? Can anyone give me an example of such a report script, thatwould be very helpful. If there is a better way to approach this matter, please let meknow. Thanks/Fredrik

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Derived Cells in Aggregate storage

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Incrementally Loading Data Using a Data Load Buffer

Hi
I am using Essbase 9.3.1. I am trying to use the feature "Replacing Database or Incremental Data Slice Contents" for my data loads to the ASO Cube.
I have 2 data sets, one of them is 2 years history. And another is last 3 months which would be changing on a daily basis. I looked at that DBAG and they have exact same scenario as an example for this feature. But I am not able to overwrite my valatile data set with my new file.
Here is what I do
alter database ${1}.${2} initialize load_buffer with buffer_id ${6} resource_usage 0.3 property ignore_missing_values, ignore_zero_values ;
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In fact my data from my new (incremental file) does not even make it to the database. I checked that it does get rejected.
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Can anyone please explain ?
Thanks
Mandar Joshi

Hi,
Just wondering if anyone had any inputs or feedback on my query. Or is my question a really stupid one and does not deserve any attention :)
Can someone explain how the "data slice" concept works ??
Thanks
Mandar Joshi.

Aggregate storage cache warning during buffer commit

h5. Summary
Having followed the documentation to set the ASO storage cache size I still get a warning during buffer load commit that says it should be increased.
h5. Storage Cache Setting
The documentation says:
A 32 MB cache setting supports a database with approximately 2 GB of input-level data. If the input-level data size is greater than 2 GB by some factor, the aggregate storage cache can be increased by the square root of the factor. For example, if the input-level data size is 3 GB (2 GB * 1.5), multiply the aggregate storage cache size of 32 MB by the square root of 1.5, and set the aggregate cache size to the result: 39.04 MB.
My database has 127,643,648k of base data which is 60.8x bigger than 2GB. SQRT of this is 7.8 so I my optimal cache size should be (7.8*32MB) = 250MB. My cache size is in fact 256MB because I have to set it before the data load based on estimates.
h5. Data Load
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MAXL> import database "4572_a"."agg" data from load_buffer with buffer_id 1, 2, 3;
OK/INFO - 1270041 - For better performance, increase the size of aggregate storage cache.
OK/INFO - 1270041 - For better performance, increase the size of aggregate storage cache.
OK/INFO - 1270041 - For better performance, increase the size of aggregate storage cache.
OK/INFO - 1003058 - Data load buffer commit elapsed time : [5131.49] seconds.
OK/INFO - 1241113 - Database import completed ['4572_a'.'agg'].
MAXL>
h5. The Question
Can anybody tell me why the final import is recommending increasing the storage cache when it is already slightly larger than the value specified in the documentation?
h5. Versions
Essbase Release 11.1.2 (ESB11.1.2.1.102B147)
Linux version 2.6.32.12-0.7-default (geeko@buildhost) (gcc version 4.3.4 [gcc-4_3-branch revision 152973] (SUSE Linux) ) #1 SMP 2010-05-20 11:14:20 +0200 64 bit

My understanding is that storage cache setting calculation you quoted is based on the cache requirements for retrieval. This recommendation has remained unchanged since ASO was first introduced in v7 (?) and was certainly done before the advent of parallel loading.
I think that the ASO cache is used during the combination of the buffers. As a result depending on how ASO works internally you would get this warning unless your buffer was:
1. = to the final load size of the database
2. OR if the cache was only used when data existed for the same "Sparse" combination of dimensions in more than one buffer the required size would be a function of the number of cross buffer combinations required
3. OR if the Cache is needed only when compression dimension member groups cross buffers
By "Sparse" dimension I mean the non-compressed dimensions.
Therefore you might try some experiments. To test case x above:
1. Forget it you will get this message unless you have a cache large enough for the final data set size on disk
2. sort your data so that no dimensional combination exists in more than one buffer - ie sort by all non-compression dimensions then by the compression dimension
3. Often your compression dimension is time based (EVEN THOUGH THIS IS VERY SUB-OPTIMAL). If so you could sort the data by the compression dimension only and break the files so that the first 16 compression members (as seen in the outline) are in buffer 1, the next 16 in buffer 2 and the next in buffer 3
Also if your machine is IO bound (as most are during a load of this size) and your cpu is not - try using os level compression on your input files - it could speed things up greatly.
Finally regarding my comments on time based compression dimension - you should consider building a stored dimension for this along the lines of what I have proposed in some posts on network54 (search for DanP on network54.com/forum/58296 - I would give you a link but it is down now).
OR better yet in the forthcoming book (of which Robb is a co-author) Developing Essbase Applications: Advanced Techniques for Finance and IT Professionals http://www.amazon.com/Developing-Essbase-Applications-Techniques-Professionals/dp/1466553308/ref=sr_1_1?ie=UTF8&qid=1335973291&sr=8-1
I really hope you will try the suggestions above and post your results.

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Provide the query used for populating the child records. Issue might be due to caching.
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OBIA Financial Analytics - ETL Incremental Load issue

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Please refer this:
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Incremental Loading of a Tree Component

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http://xocoatl.blogspot.com/2007/01/incremental-loading-of-tree-in-flex-2.html
Any comments here or on the blog are appreciated; I'm
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11g (11.2.0.1) - dimension operator very slow on incremental load

Dimension operator very slow in porcessing incremental loads on 11.2.0.1 Have applied cumulative patch - still same issue.
Statistics also gathered.
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Any ideas?
Seen in 10.2.0.4 and applied patch which cured this issue.

Hi,
Thanks for the excellent suggestion.
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Incremental load not capturing data in SSIS 2012

Hi ,
Iam having an issue with Oracle CDC for SSIS which is new in 2012, Developed SSIS packages with Full load and Incremental load logic to load data into ODS - STAGE - DWH. Here problem is when ever i do a full load following with an incremental load , incremental
load is not capturing updated data , if i do second incremental load then it captures data.
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Are you sure it picks up LSN correctly? I doubt its CDC service not picking the correct LSN value which it uses to identify the changes.
It should be in cdc.lsn_time_mapping table I guess
http://msdn.microsoft.com/en-IN/library/bb510494.aspx
Please Mark This As Answer if it solved your issue
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Incremental load into the Dimension table

Hi,
I have the problem in doing the incremental load of the dimension table.Before loading into the dimension table,i would like to check the data in the dimnesion table.
In my dimension table i have one not null surrogate key and the other null dimension tables.The not null surrogate key, i am populating with the Sequence Generator.
To do the incremental load i have done the following.
I made lookup into the dimension table and looked for a key.The key from the lookup table i have passed to the expression operator.In the expression operator i have created one field and hard coded one flag based on the key from the lookup table.I passed this flag to the filter operator and rest of the fields from the source.
By doing this i am not able to pass the new records to the dimension table.
Can you please help me.
I have another question also.
How do i update one not null key in the fact table.
Thanks
Vinay

Hi Mark,
Thanks for your help to solve my problem.I thought i share more information by giving the sql.
I am giving below the 2 sqls, i would like to achieve through OWB.
Both the following tasks need to be accomplished after loading the fact table.
task1:
UPDATE fact_table c
SET c.dimension_table_key =
(SELECT nvl(dimension_table.dimension_table_key,0)
FROM src_dimension_table t,
dimension_table dimension_table
WHERE c.ssn = t.ssn(+)
AND c.date_src_key = to_number(t.date_src(+), '99999999')
AND c.time_src_key = to_number(substr(t.time_src(+), 1, 4), '99999999')
AND c.wk_src = to_number(concat(t.wk_src_year(+), concat(t.wk_src_month(+), t.wk_src_day(+))), '99999999')
AND nvl(t.field1, 'Y') = nvl(dimension_table.field1, 'Y')
AND nvl(t.field2, 'Y') = nvl(dimension_table.field2, 'Y')
AND nvl(t.field3, 'Y') = nvl(dimension_table.field3, 'Y')
AND nvl(t.field4, 'Y') = nvl(dimension_table.field4, 'Y')
AND nvl(t.field5, 'Y') = nvl(dimension_table.field5, 'Y')
AND nvl(t.field6, 'Y') = nvl(dimension_table.field6, 'Y')
AND nvl(t.field7, 'Y') = nvl(dimension_table.field7, 'Y')
AND nvl(t.field8, 'Y') = nvl(dimension_table.field8, 'Y')
AND nvl(t.field9, 'Y') = nvl(dimension_table.field9, 'Y')
WHERE c.dimension_table_key = 0;
fact table in the above sql is fact_table
dimesion table in the above sql is dimension_table
source table for the dimension table is src_dimension_table
dimension_table_key is a not null key in the fact table
task2:
update fact_table cf
set cf.key_1 =
(select nvl(max(p.key_1),0) from dimension_table p
where p.field1 = cf.field1
and p.source='YY')
where cf.key_1 = 0;
fact table in the above sql is fact_table
dimesion table in the above sql is dimension_table
key_1 is a not null key in the fact table
Is it possible to achieve the above tasks through Oracle Warehouse builder(OWB).I created the mappings for loading the dimension table and fact table and they are working fine.But the above two queries i am not able to achieve through OWB.I would be thankful if you can help me out.
Thanks
Vinay

Business Objects Data Services Incremental Load Help

Hi this my first time creating a incremental load for a batch job. My batch job consists of a try - initialization script - data flow - catch. When I validate my initialization script I am getting an error could you review and identify the error with the script. My data flow consists of the data store table I imported with a query then table comparison then key generation then the the table I am updating.
# Set Todays Date
$SYSDATE = cast ( sysdate (), 'date' );
print ('Today\' date:' || cast($SYSDATE, 'varchar(10)'));
# SET CDC DATE
$CDC_DATE = nvl (cast(sql('Target', 'SELECT MAX(BATCH_END_DATE) FROM BATCH_CONTROL WHERE BATCH_NAME = {$BATCH_NAME}
AND BATCH_STATUS = \'SUCESS\' '), 'date'), cast(to_date('1900-01-01', 'YYYY-MM-DD'), 'date'));
#Mark an entry in Batch_Control
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sql('Target', 'INSERT INTO BATCH_CONTROL VALUES ( {BATCH_NAME}, \'STARTED', {to_char ($CDC_DATE, \'YYYY-MM-DD\')}, NULL, {to_char ($SYSDATE, \'YYYY-MM-DD\')};

So I resolved the first error now I am receiving this long error any ideas?
13388
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|Session Table_Incramental_Load
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System Exception <ACCESS_VIOLATION> occurred. Process dump is written to <C:\Program Files (x86)\Business
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Objects\BusinessObjects Data Services\log\BODI_MINI20140522103951_13388.DMP> and <C:\Program Files (x86)\Business
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Objects\BusinessObjects Data Services\log\BODI_FULL20140522103951_13388.DMP>
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Process dump is written to <C:\Program Files (x86)\Business Objects\BusinessObjects Data
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Services\log\BODI_MINI20140522103951_13388.DMP> and <C:\Program Files (x86)\Business Objects\BusinessObjects Data
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Services\log\BODI_FULL20140522103951_13388.DMP>
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Call stack:
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0023:00D305BA, TrCallStatement::process_dbdiff_xform_new()+6666 byte(s), x:\src\parser\process_predef_xform.cpp, line 7281
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0023:00D3128E, TrCallStatement::process_diff_xform()+1422 byte(s), x:\src\parser\process_predef_xform.cpp, line 0432
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0023:00D356EE, TrCallStatement::process_predef_xform_options()+0286 byte(s), x:\src\parser\process_predef_xform.cpp, line
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0067+0017 byte(s)
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0023:00C313A5, TrCallStatement::processStatement()+0789 byte(s), x:\src\parser\dataflowstm.cpp, line 3307
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0023:00C310FC, TrCallStatement::processStatement()+0108 byte(s), x:\src\parser\dataflowstm.cpp, line 3201+0012 byte(s)
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0023:00C0FB55, DataFlowDef::processStatements()+0101 byte(s), x:\src\parser\dataflow.cpp, line 2331+0014 byte(s)
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0023:00C110D5, DataFlowDef::buildGraph()+1621 byte(s), x:\src\parser\dataflow.cpp, line 1723
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0023:00C12D99, DataFlowDef::processObjectDef()+2793 byte(s), x:\src\parser\dataflow.cpp, line 1290
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5/22/2014 10:39:54 AM
0023:00CB9DC5, CallStep::processStep()+2037 byte(s), x:\src\parser\planstep.cpp, line 1050
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5/22/2014 10:39:54 AM
0023:FFFFFFFF, NsiAllocateAndGetPersistentDataWithMaskTable()+-1997676757 byte(s)
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0023:00CB443C, CompoundStep::processStep()+0044 byte(s), x:\src\parser\planstep.cpp, line 4460+0044 byte(s)
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0023:00CB406F, TryStep::processStep()+0335 byte(s), x:\src\parser\planstep.cpp, line 3634
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0023:00CB33A6, Step::processStepBlock()+0134 byte(s), x:\src\parser\planstep.cpp, line 0377+0018 byte(s)
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0023:00CB443C, CompoundStep::processStep()+0044 byte(s), x:\src\parser\planstep.cpp, line 4460+0044 byte(s)
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0023:00C8A78E, PlanDef::processObjectDef()+2718 byte(s), x:\src\parser\plandef.cpp, line 0689
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0023:00ABB806, AE_Main_Process_Options()+32534 byte(s), x:\src\xterniface\actamainexp.cpp, line 3622
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0023:00ABFAB1, AE_Main()+1505 byte(s), x:\src\xterniface\actamainexp.cpp, line 0830+0030 byte(s)
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0023:00402AE9
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Registers:
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EAX=056E85F0 EBX=00000000 ECX=00000010 EDX=02250048 ESI=056E85F0
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EDI=056E85A8 EBP=04A7C590 ESP=002700F0 EIP=00D305BA FLG=00010206
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CS=0023 DS=002B SS=002B ES=002B FS=0053 GS=002B
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Exception code: C0000005 ACCESS_VIOLATION
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Fault address: 00D305BA 01:0029A5BA C:\Program Files (x86)\Business Objects\BusinessObjects Data Services\bin\acta.dll

Incremental Load in Aggregate Storage

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