BI 7.0 Write Optimized Datastore - Deltas

Hello,
I have been using 2LIS_03_BF and 2LIS_03_UM extractors to bring data into BI 7.0 (SP14) into custom datastore. We are not using SAP delivered cube.
I changed from standard DSO to write optimized DSO to bring everything in from the _UM extractor -custom standard datastore was not bringing in all records because of key structure.
Deleted data in BI, Deleted delta 03 delta job in SM37, Cleared RSA7, Deleted setup tables, filled setup tables. I then ran init w.out data transfer and next I ran full repair. Loaded everything perfectly.
Next Question - can I use the regular delta to bring in changes or do I have to use a DTP?
Thanks,
Lynda

Delta Administration: Write-Optimized Data Store objects
Data that is loaded into Write-Optimized Data Store objects is available immediately for further processing. The activation step that has been necessary up to now is no longer required. Note here that the loaded data is not aggregated. If two data records with the same logical key are extracted from the source, both records are saved in the Data Store object, since the technical key for the both records not unique. The record mode (0RECORDMODE) responsible for aggregation remains, however, the aggregation of data can take place at a later time in standard Data Store objects. Write-Optimized DataStore does not support the image based delta, it supports request level delta, and you will get brand new delta request for each data load.
Since write-optimized DataStore objects do not have a change log, the system does not create delta (in the sense of a before image and an after image). When you update data into the connected InfoProviders, the system only updates the requests that have not yet been posted.
Write-Optimized Data Store supports request level delta. In order to capture before and after image delta, you must have to post latest request into further targets like Standard DataStore or Infocubes.

Similar Messages

Updating Write Optimized DataStore Objects

Are there any API's avaliable to update Write Optimized DataStore Objects ?

Hello,
You may wish to check below OSS note -
<b>954550 -Unable to convert status for write-opt. DataStores </b>
This solves the problem ,in case it doesnt ,raise customer message to SAP pls.
Hope it Helps
Chetan
@CP..

Can a write-optimized DSO be used for Delta upload

Hi,
can any one please answer following..
1. can a write optimized DSO be used for Delta upload?
2. Does industry based content is available in BI Content ?
Thanks&Regards
Satya

Hi,
Write-Optimized DataStore does not support the image based delta, it supports request level delta, and you will get brand new delta request for each data load.
Since write-optimized DataStore objects do not have a change log, the system does not create delta (in the sense of a before image and an after image). When you update data into the connected InfoProviders, the system only updates the requests that have not yet been posted.
Write-Optimized Data Store supports request level delta. In order to capture before and after image delta, you must have to post latest request into further targets like Standard DataStore or Infocubes.

Error occurs while activating a 'Write Optimized' DSO.

I am getting error " There is no PSA for infosource 'XXXX' and source system 'XXX' while activating a newly defined DSO object.
I am able to activate a Standard DSOs, however the error occurs while activating a 'Write Optimized' DSO

Hi,
For write optimised DSO, check if you have tick the uniqueness of the records. If you check that and if there are two same records coming from source in one go, then you will get error
From SAP help
You can specify that you do not want to run a check to ensure that the data is unique. If you do not check the uniqueness of the data, the DataStore object table may contain several records with the same key. If you do not set this indicator, and you do check the uniqueness of the data, the system generates a unique index in the semantic key of the InfoObject. This index has the technical name "KEY". Since write-optimized DataStore objects do not have a change log, the system does not create delta (in the sense of a before image and an after image). When you update data into the connected InfoProviders, the system only updates the requests that have not yet been posted.
Thanks
Srikanth

Duplicate Semantic Key in Write Optimized DSO

Gurus
Duplicate semantic keys have a unique index KEY in the key fields of the DSO when WRITE OPTIMIZED DSO is used. (Of course this is assuming the Do not check uniqueness of data indicator is not checked..)
See help https://help.sap.com/saphelp_crm60/helpdata/en/a6/1205406640c442e10000000a1550b0/frameset.htm
This means that the DSO can contain duplicate records.
My question is: What happens to these duplicates when a request level delta update is done to a Standard DSO or Infocube?
Do duplicates end up in the error stack? Are they simply aggregated in further loads? - because this would be a problem for reporting (double-counting).
thanks
tony

Hi Tony,
It will aggregate the data in some undesired way.
Read on...
https://help.sap.com/saphelp_crm60/helpdata/en/b6/de1c42128a5733e10000000a155106/frameset.htm
If you want to use write-optimized DataStore objects in BEx queries, we recommend that they have a semantic key and that you run a check to ensure that the data is unique. In this case, the write-optimized DataStore object behaves like a standard DataStore object. If the DataStore object does not have these properties, unexpected results may be produced when the data is aggregated in the query.
Hope it helps...
Regards,
Ashish

Missing PARTNO field in Write Optimized DSO

Hi,
I have a write optimized DSO, for which the Partition has been deleted (reason unknown) in Dev system.
For the same DSO, partition parameters exists in QA and production.
Now while transporting this DSO to QA, I am getting an error "Old key field PARTNO has been deleted", and the DSO could not be activated in the target system.
Please let me know, how do I re-insert this techinal key of PARTNO in my DSO.
I pressuming it has something to do with partitioning of the DSO.
Please Help.......

Hi,
Since the write-optimized DataStore object only consists of the table of active data, you do not have to activate the data, as is necessary with the standard DataStore object. This means that you can process data more quickly.
The loaded data is not aggregated; the history of the data is retained. If two data records with the same logical key are extracted from the source, both records are saved in the DataStore object. The record mode responsible for aggregation remains, however, so that the aggregation of data can take place later in standard DataStore objects.
The system generates a unique technical key for the write-optimized DataStore object. The standard key fields are not necessary with this type of DataStore object. If standard key fields exist anyway, they are called semantic keys so that they can be distinguished from the technical keys. The technical key consists of the Request GUID field (0REQUEST), the Data Package field (0DATAPAKID) and the Data Record Number field (0RECORD). Only new data records are loaded to this key.
You can specify that you do not want to run a check to ensure that the data is unique. If you do not check the uniqueness of the data, the DataStore object table may contain several records with the same key. If you do not set this indicator, and you do check the uniqueness of the data, the system generates a unique index in the semantic key of the InfoObject. This index has the technical name "KEY". Since write-optimized DataStore objects do not have a change log, the system does not create delta (in the sense of a before image and an after image). When you update data into the connected InfoProviders, the system only updates the requests that have not yet been posted.
PS: Excerpt from http://help.sap.com/saphelp_nw2004s/helpdata/en/b6/de1c42128a5733e10000000a155106/frameset.htm
Hope this helps.
Best Regards,
Rajani

Unable to delete request from write-optimized DSO (Error during rollback)

Hi Gurus,
I am trying to delete a delta request from a Write-Optimized DSO. This request was uploaded with a DTP from another Write-optimized DSO.
The actual overall status of the request is RED and the description of that status is now: 'Error during rollback of request DTPR_4JW6NLSVDUNYY3GTD6F4DQJWR; only rollback allowed'.
I checked the log of all Request Operations in DataStore (from the same line where the red request is now) and I see my several attemps to delete this request under a RED radiobutton with the title Rollback. The details for this error are the following:
Could not delete request data from active table
Message no. RSODSO_ROLLBACK114
Diagnosis
The system could not delete the request data from the active table of a write-optimized DataStore object.
System Response
Write-optimized DataStore object: DTFISO02
Active table: /BIC/ADTFISO0200
Request: DTPR_4JW6NLSVDUNYY3GTD6F4DQJWR
Procedure
Search for Notes containing the key words "Delete write-optimized DSO PSA"
I am relatively new to SAP BI 7.0 and I do not know how to delete this request. Any help will be highly appreciated !!
Leticia

Hi Leticia:
Take a look at the SAP Notes below.
Note 1111065 - "701: Delta consistency check for write-optimized DSOs"
Note 1263877 - "70SP20: Delta consistency check for write-optimized DSOs"
Note 1125025 - "P17:PSA:DSO:ODSR missing in PSA process for write-opt. DSO"
Additionally, some ideas from the alternative presented on the blog by KMR might help you.
"How to generate a selective deletion program for info provider"
Regards,
Francisco Mílán.

Deletion of requests from Write optimized DSO

Hi all,
Tried using this RSSM_DELETE_WO_DSO_REQUESTS to delete requests more than 60 days, via process chain.
But this is not removing all requests more than 60 days. Quite a few are not getting deleted and even on second run of this program, deletes one request at a time. Not sure why this behaves this way.
Any other alternative as Deletion of WDSO (Write-optimized DataStore object) Load requests and active table data without deleting it from target
This also seems to work...?
Also, how should I ensure uniformity of timelines w.r.to PSA and changelog of this DSO flow? PSA 15 days and changelog 90 days retain is fine? Want to ensure no data comes again thats deleted in WDSO

Can some one suggest pls

Queries on Write Optimized ODS

Hi All,
Do BEx Queries work efficiently on write optimized ODS ?
Regards,
Satya

Hi Satya,
Some important points on Write Optimized ODS:
The system does not generate SIDs for write-optimized DataStore objects and you do not need to activate them. This means that you can save and further process data quickly. Reporting is possible on the basis of these DataStore objects. However, SAP recommend that you use them as a consolidation layer, and update the data to additional InfoProviders, standard DataStore objects, or InfoCubes
For performance reasons, SID values are not created for the characteristics that are loaded. The data is still available for BEx queries. However, in comparison to standard DataStore objects, you can expect slightly worse performance because the SID values have to be created during reporting.
If you want to use write-optimized DataStore objects in BEx queries, SAP recommend that they have a semantic key and that you run a check to ensure that the data is unique. In this case, the write-optimized DataStore object behaves like a standard DataStore object. If the DataStore object does not have these properties, unexpected results may be produced when the data is aggregated in the query.
Regards,
Anil

Updating Write-Optimized ODS

How to update a write optimized ODS ? Are there API's avaliable ?

Hi Satya,
Some important points on Write Optimized ODS:
The system does not generate SIDs for write-optimized DataStore objects and you do not need to activate them. This means that you can save and further process data quickly. Reporting is possible on the basis of these DataStore objects. However, SAP recommend that you use them as a consolidation layer, and update the data to additional InfoProviders, standard DataStore objects, or InfoCubes
For performance reasons, SID values are not created for the characteristics that are loaded. The data is still available for BEx queries. However, in comparison to standard DataStore objects, you can expect slightly worse performance because the SID values have to be created during reporting.
If you want to use write-optimized DataStore objects in BEx queries, SAP recommend that they have a semantic key and that you run a check to ensure that the data is unique. In this case, the write-optimized DataStore object behaves like a standard DataStore object. If the DataStore object does not have these properties, unexpected results may be produced when the data is aggregated in the query.
Regards,
Anil

What is the main difference of Direct update DSO and Write optimized DSO

What is the main difference of Direct update DSO and Write optimized DSO?

Hi chandra:
Check this link.
http://help.sap.com/saphelp_nw04s/helpdata/en/f9/45503c242b4a67e10000000a114084/content.htm
You can find another difference on page 147, section "Reclustering DataStore Objects" of the document "Enterprise Data Warehousing"
http://www.sdn.sap.com/irj/scn/go/portal/prtroot/docs/library/uuid/67efb9bb-0601-0010-f7a2-b582e94bcf8a?quicklink=index&overridelayout=true
>You can only use reclustering for standard DataStore objects and DataStore objects for direct update. You cannot use reclustering for write-optimized DataStore objects. User-defined multidimensional clustering is not available for write-optimized DataStore objects
Regards,
Francisco Milán.
Edited by: Francisco Milan on Aug 11, 2010 7:09 PM

Difference between - Write Optimized and Direct Update DSO

Hi Gurus,
I know the similarities of the Write Optimized and Direct Update DSO.
But I want to know what is the difference between the both.
Can any expert let me know the difference between the both please.
Thanks

Hi,
Write Optimised DSO:
Write optimsed DSO has been designed to be the initial staging of the source system data from where the data could be transfered to the standard DSO or the Infocube.
The Data is immediately written to the further data targets.We can save the activation time.Reporting also possible on this.
SAP recommends to use Write-Optimized DataStore as a EDW inbound layer, and update the data into further targets such as standard DataStore objects or InfoCubes.
Direct Update DSO:
Dat a store object for direct update conatains daya in a single version.therefore data is stored same form in which it was written to DSO for direct update by the application.We can use this type of DSO for APD.
In IP we can use this dso and directly we can enter the data using RSINPUT.
Thanks
Madhavi

Write optimized dso - Stand DSO loading by Delta Req by req is not working

Hi All,
We have a data flow which has 1st layer having write optimized dso and then we are loading data to Standard DSO.
We are using Delta DTP to load the data with the option "Get All New Data Request By Request", but it is not working.
Suppose if i have 2 requests which are need to update to Standard Dso from Write Optimized Dso, it is updating in single request. We are on SAP BW 701 patch level is 005.
Please suggest me ....

Hi Prasanna,
For reasons of downward compatibility, the system behaves differently for DTPs that were created before "SAP NetWeaver 7.0 Support Package Stack 13"
DTPs for which the indicator is set only get the first new request, even if there is more than one new source request at the time of processing. This restricts the way in which these DTPs can be used in process chains, because requests accumulate in the source and the target may not contain the current data. The Retrieve Until No More New Data indicator is therefore displayed for these DTPs.
I Suggest you to set this indicator and activate the DTP.
If you set the Retrieve Until No More New Data indicator and then activate the DTP, once it completes processing, a DTP request checks whether there are any further requests in the source. If the source contains more requests, a new DTP request is automatically generated and processed. Once the DTP is activated, the indicator is no longer visible in DTP maintenance.
This applies when the DTP is started by a process chain and also when you start the DTP directly from DTP maintenance.
The indicator is set by default for new DTPs that get data request by request.
If you do not select the indicator, the label for the Get All New Data Request By Request indicator changes to Get One Request Only. Once the DTP is activated, only this indicator is displayed in DTP maintenance.
Regards,
Sudheer.

Delta loading procedure from Write Optimized DSO to Infocube

Hi All,
We are using Write optimized DSO in our project to which I am loading data using Standard DSO 0FI_GL_12
From Write optimized DSO, we are loading delta records into Infocube, please provide your inputs to my following questionnaire:
1) I am quite interested to know how the delta records gets loaded into infocube whenever we are using 'Write optimized DSO' as we don't have any image concept in Optimized DSO
Ex: If am using Standard DSO, we have Change log table and image concept will allow to get updated value to Cube
let us assume
Active Table
111            50
111            70 (overwrite)
Change Log Table
111            -50        (X -- Before Image)
111             70    ( ' ' -- After Image) symbol for after image is 'Space'
So if we load this record to the target as a delta the above two records from change log table will get loaded to the CUBE and Cube will have 70 as the updated record
If am using 'Write Optimized',
Active Table
111            50
111            70 (overwrite)
When this record loaded to the cube, as Info Cube is always having 'Additive' feature so the total value will 50+70 =120 which is wrong?
Correct me what feature will work here to get updated value as '70' into Cube from Write Optimized DSO'
2)As the data source is delta capable and having 'ADDITIVE' delta process, only the delta records based on REQUEST ID are loaded into Info Cube with the updated key figure value?
Thanks for your inputs and much appreciated.
Regards,
Madhu

Hi Madhu,
In best practice, we use WODSO in Initial layer and then Standard DSO. Just for mass data load/staging purpose.
In best practice : Data source ----> WODSO ---> std. DSO
In your case : Data source ----> Std.DSO -----> WODSO.
In both cases if data load design is not in accurate way, then your cube will have incorrect entries.
For ex: today 9 am : 111, 50 (in active table)
Data load to cube, same day 11 am : then cube will have 111    50.
Same day, value got changed in std. DSO 1 pm :   111   70(over write function @ active table).
Same day/next day if you load data to cube, it will have 2 records one is with value 50 and other would be 70. So to avoid such scenarios we should plan load in accurate way. Else make change your DTP settings as ‘source table : change log table.
Coming to your case:
Once after the load to Std. DSO, load data to WODSO by changing the DTP settings ‘Delta Init.Extraction from’ : Change log.
Now data available @WODSO from change log table, then you load to cube In delta mode.

Testing Delta Consistency for write-optimized DSO

Hi,
Please do let me know how to carry testing for delta consistency for write-optimized DSO.
Is it just to check whether the check box under the settings.. "Check Delta Consistency " is checked or the other way.
Please do let me know.
Thanks & Regards,
Lavanya.

Hi,
The delta consistency flag for W-O DSO is used to ensure data consistency between the w-o DSO and any target propagated to. zfor example, you have dataflow ZWDSO1 -> zsdso1. ZWDSO1 has the flag 'check delta consistency' set to ON. You load data from ZWDSO1 to ZSDSO1 via request 1.
When the load is successful, if you try to delete the request 1 from ZWDSO1, deletion should not be possible; also you will not be able to change the flag to OFF as delta has already been propagated, and if you change the flag, delta consistency might be lost!
Now, if you delete request 1 from ZSDSO1 and then try to delete request 1 from ZWDSO1, deletion should be possible.
Hope the explanation helps!
Regards,
Rakesh

BI 7.0 Write Optimized Datastore - Deltas

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