Flat Data Load in Spend Performance Management

Dear All,
We have a new Project, wherein Data from Various Flat Files (Flat Files from Multiple Non SAP Source Systems), needs to be loaded in SPM. We are new to SPM, any step by step documentation for loading Flat Files into SPM using Data Management Tool, will be really helpful.
Regards
Pankaj

Hi Pankaj,
These are the basic steps
1) Determine table and fields you going to load.
2) create file
3) upload file to folder
4) move through steps in user interface.
This topic is covered in the Master Guide section 3.1Data Management. You can download all of our docs here:
SAP BusinessObjects Spend Performance Management 3.0 – SAP Help Portal Page
These notes also have good details:
1796459 - Sequence for loading data in SPM
1891572 - SPM Data Model and Tables
1775340 - The key steps for loading supplier diversity file
1914255 - How to enable delta for SPM data load
and of course these also for :
1239883 - Extractor Starter Kit for Spend Performance Management(SPM)
1679583 - Enhanced PO Extractor for Spend Performance Management
1358507 - SSA extractors: Contracts and Sch Agr Performance
* For more information about details of the delivery process
and environment, see Data Management in the see SAP Library for SAP Library for
SAP Spend Analytics.
* For more information about the data model, see the Analysis
Scenario SAP BusinessObjects Spend Performance Management – Data Model and Data
Flow in SAP NetWeaver BW in SAP Library
at
SAP BusinessObjects Spend Performance Management 3.0 – SAP Help Portal Page
Kind Regards,
John Harris
Senior Support Engineer, SAP Active Global Support,
SAP America, Inc., 1001 Summit Blvd, #2100, Atlanta, GA 30319, USA

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In spend performance management we have inbound layer, outbound layer, Reporting layer and multiprovider.
Tha data is passing from one layer to another layer i.e inbound to outbound like...
But here my question is where is the data coming from and updated in Inbound layer...
In, Inbound layer consists of all DSO.
Regards
KS

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@ Rohit correct me if I am wrong.
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SAP_SPM_TRANSPORT
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SAP America, Inc., 1001 Summit Blvd, #2100, Atlanta, GA 30319, USA

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APPL_TYPE    FATAL
SPEND_ANALYTICS_STARTUP_FAILED]
Details
[SPEND_ANALYTICS_STARTUP_FAILED]
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Regards,
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Hello Experts,
I am getting the same error, I have NW 7.0 with EHP1 so I deployed SSAUI 211, as in above reply the issue resolved.
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Hello everyone,
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Hello,
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Hi there:
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Hi All
The note 1520113 states the following:
Recommended Pre-Requisites:
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or
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Hi SDN Community,
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During flat file loads, the Commercial code of all units of measures, are verified.
eg.DAY
But when loaded by BPS, the UNIT code is verified.
eg. TAG.
In the display of the BPS upload, it displays DAY which is the commercial code.
The only thing, is the customer is forced to use TAG in the BPS upload files.
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CUNI to be
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04.01.2010 - 02:22:53 CET - Reply by SAP
Dear customer,
As i do not fully understand how this works, but the base table T006A
has 2 entries, 1 for english, 1 for German, should it not be that the
English EN entry field be working rather that the German DE, hence DAY
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versions to allow the customer to indicate the same UOM as per flat
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in newer SAP BW versions or support packages.
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Global Support Center China
SAP Active Global Support

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 I try data load in Essbase Administration Services 7.1.3 and got the following error: 1030010 - Invalid blank character in name. I notice that this error occurred during open file before EAS even has a chance to read the first line as there was no error.txt generated. The filename is ActSales1.txt With the same file, we were able to load through data load in Essbase Application Manager.... Any idea why?

I think you will find that the answer is a very simple one. There should be no spaces in your directory or file names. If you have a directory called Essbase files, then this is enough to generate the message - same with the file name. I just substitute an underscore for a space so taht it is a continuous name. This problem has been around for years.

QUERY PERFORMANCE AND DATA LOADING PERFORMANCE ISSUES

WHAT ARE QUERY PERFORMANCE ISSUES WE NEED TO TAKE CARE PLEASE EXPLAIN AND LET ME KNOW T CODES...PLZ URGENT
WHAT ARE DATALOADING PERFORMANCE ISSUES WE NEED TO TAKE CARE PLEASE EXPLAIN AND LET ME KNOW T CODES PLZ URGENT
WILL REWARD FULL POINT S
REGARDS
GURU

BW Back end
Some Tips -
1)Identify long-running extraction processes on the source system. Extraction processes are performed by several extraction jobs running on the source system. The run-time of these jobs affects the performance. Use transaction code SM37 Background Processing Job Management to analyze the run-times of these jobs. If the run-time of data collection jobs lasts for several hours, schedule these jobs to run more frequently. This way, less data is written into update tables for each run and extraction performance increases.
2)Identify high run-times for ABAP code, especially for user exits. The quality of any custom ABAP programs used in data extraction affects the extraction performance. Use transaction code SE30 ABAP/4 Run-time Analysis and then run the analysis for the transaction code RSA3 Extractor Checker. The system then records the activities of the extraction program so you can review them to identify time-consuming activities. Eliminate those long-running activities or substitute them with alternative program logic.
3)Identify expensive SQL statements. If database run-time is high for extraction jobs, use transaction code ST05 Performance Trace. On this screen, select ALEREMOTE user and then select SQL trace to record the SQL statements. Identify the time-consuming sections from the results. If the data-selection times are high on a particular SQL statement, index the DataSource tables to increase the performance of selection (see no. 6 below). While using ST05, make sure that no other extraction job is running with ALEREMOTE user.
4)Balance loads by distributing processes onto different servers if possible. If your site uses more than one BW application server, distribute the extraction processes to different servers using transaction code SM59 Maintain RFC Destination. Load balancing is possible only if the extraction program allows the option
5)Set optimum parameters for data-packet size. Packet size affects the number of data requests to the database. Set the data-packet size to optimum values for an efficient data-extraction mechanism. To find the optimum value, start with a packet size in the range of 50,000 to 100,000 and gradually increase it. At some point, you will reach the threshold at which increasing packet size further does not provide any performance increase. To set the packet size, use transaction code SBIW BW IMG Menu on the source system. To set the data load parameters for flat-file uploads, use transaction code RSCUSTV6 in BW.
6)Build indexes on DataSource tables based on selection criteria. Indexing DataSource tables improves the extraction performance, because it reduces the read times of those tables.
7)Execute collection jobs in parallel. Like the Business Content extractors, generic extractors have a number of collection jobs to retrieve relevant data from DataSource tables. Scheduling these collection jobs to run in parallel reduces the total extraction time, and they can be scheduled via transaction code SM37 in the source system.
8). Break up your data selections for InfoPackages and schedule the portions to run in parallel. This parallel upload mechanism sends different portions of the data to BW at the same time, and as a result the total upload time is reduced. You can schedule InfoPackages in the Administrator Workbench.
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9). Building secondary indexes on the tables for the selection fields optimizes these tables for reading, reducing extraction time. If your selection fields are not key fields on the table, primary indexes are not much of a help when accessing data. In this case it is better to create secondary indexes with selection fields on the associated table using ABAP Dictionary to improve better selection performance.
10)Analyze upload times to the PSA and identify long-running uploads. When you extract the data using PSA method, data is written into PSA tables in the BW system. If your data is on the order of tens of millions, consider partitioning these PSA tables for better performance, but pay attention to the partition sizes. Partitioning PSA tables improves data-load performance because it's faster to insert data into smaller database tables. Partitioning also provides increased performance for maintenance of PSA tables for example, you can delete a portion of data faster. You can set the size of each partition in the PSA parameters screen, in transaction code SPRO or RSCUSTV6, so that BW creates a new partition automatically when a threshold value is reached.
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14)IDoc (intermediate document) archiving improves the extraction and loading performance and can be applied on both BW and R/3 systems. In addition to IDoc archiving, data archiving is available for InfoCubes and ODS objects.
Hope it Helps
Chetan
@CP..

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Create datasource also like this same manner.

Flat Data Load in Spend Performance Management

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