ExtractionsSAP BWFlat FileSAP R/3SAP BW

Extractors in SAP R/3

LIS ExtractionIntroductionSteps Involved in LIS ExtractionInternal Architecture for LIS ExtractionConclusionQuestion and Answers

LIS ExtractionIntroductionLIS Extraction is Based on Information Structure.S260MCXXXXVBAKVBAPVBEPVBUKVBUPData Base TablesInformation StructureUpdate Rules

LIS ExtractionTypes of Information StructureSAP defined Information StructureUser Defined Information StructureNumber Range S001 S499Number Range S500 S999

LIS ExtractionSteps to create Information StructureCreate Field Catalogs (MC18) Similar to Info Object Catalog.

Create Information Structure (MC21) Similar to info Cube.

Set up the Update Rules (MC24) Similar to Update rules.

LIS ExtractionStep :- 1Goto T-code LBW0.

( SAP Defined Information Structure )

LIS ExtractionSteps :- 2Give the Information Structure Name

LIS ExtractionSteps :- 3See the Present Setting for the Information Structure

LIS ExtractionSteps :- 4 ( IF Datasource is not generated )Generating the Data Source

LIS ExtractionSteps :- 5Deactivating the Delta Update LBW1

LIS ExtractionDo the changes to the updating and Save it

LIS ExtractionSteps :- 6Running the Statistical setup to fill the data into Information StructureGoto SBIW and follow the path

LIS Extraction

Version Maintenance :Normally it is 000 version So load the data to version &(A and copy the data from this version to 000Date of Termination :Date of termination to be in pastClick on Execute

LIS ExtractionWe can cross check using RSA3

LIS ExtractionCopy the data from the version &(A to 000 using LBW2

LIS ExtractionSteps :- 7Using RSA6 transport the Data SourceSteps :- 8Replicate the Data Source in SAP BW and Assign it to Info source and Activate

LIS ExtractionSteps :- 9In SAP R/3 Goto LBW1 and set the updating to No Updating and Save.

LIS ExtractionSteps :- 10Go Back to SAP BW and Create the Infopackage and run the Initial LoadSteps :- 11Once the Initial delta is successful before running delta load we need to enable delta updating in SAP R/3

LIS Extraction

LIS ExtractionSteps :- 12Once the Delta is activated in SAP R/3 we can start running Delta loads in SAP BW.

Internal Architecture for LIS ExtractionSAP R/3SAP BWSales Order Applications VA01, VA02, VA03VBAKVBUKVBEPVBAPVBUPS260S260BIW1S260BIW2MCVBAKMCVBAPStatistical SetupV1,V2Full Update / Initial Delta LoadDelta Load

ConclusionLIS ExtractionV 1, V2Information StructureLogistics InformationDisadvantages of LIS

LO ExtractionIntroductionSteps Involved in LO ExtractionInternal Architecture for LO ExtractionConclusionQuestion and Answers

LO ExtractionSteps :- 1First Activate the Data Source from the Business Content using LBWE

LO ExtractionSteps :- 2For Customizing the Extract Structure LBWE

Maintaining the Extract StructureSteps :- 3

Generating the Data SourceOnce the Data Source is generated do necessary setting forSelectionHideInversionField Only Know in ExitAnd the save the Data SourceSteps :- 4

Activate the Data SourceSteps :- 5Using RSA6 transport the Data SourceSteps :-6

Steps :- 7Replicate the Data Source in SAP BW and Assign it to Info source and ActivateSteps :- 8Running the Statistical setup to fill the data into Set Up TablesGoto SBIW and follow the path

We can cross check using RSA3Steps :- 9Go Back to SAP BW and Create the Infopackage and run the Initial Load.Steps :- 10Once the Initial delta is successful before running delta load we need to set up V3 Job in SAP R/3 using LBWE.Copyright @ Pratap Reddy Bodimalla

Steps :- 10Once the Initial delta is successful before running delta load we need to set up V3 Job in SAP R/3 using LBWE.

Steps :- 11Once the Delta is activated in SAP R/3 we can start running Delta loads in SAP BW.

Internal Architecture for LIS Extraction

ConclusionV3Delta Update Modesadvantages of LOComparison of LIS to LO

LO Extraction

Delta Extraction with the V3 Update (II)Data Flow Schematic for Logistics Extraction with the V3 UpdateTimeV3 Collective Run (for example, daily or hourly)Delta Request

Update Methods

Serialized V3 UpdateDirect UpdateQueued DeltaNon Serialized V3 Update

Data Flow Schematic for Logistics Extraction with the V3 UpdateSerialized V3 UpdateSince the V3 update actually does not recognize the serialized processing of update data, the Serialized V3 Update function was created through several corrections in SAP Basis in order to also be able to serialize in step A.V3 Collective Run (for example, daily or hourly)Delta Request

The following problems continue to occur in conjunction with the V3 update in the logistics extraction of transaction data: The serialized V3 update can only ensure the correct sequence of extraction data for a document if the document is not repeatedly changed within the span of a second. Furthermore, the serialized V3 update can only ensure the correct sequence of extraction data for a document if the times are permanently and exactly synchronized for all instances in a system. This is because the creation time of the update record, which is determined by the local time for the application server, is used for sorting the update data. In addition, the serialized V3 update can only ensure the correct sequence of extraction data for a document if it previously had no errors in the V2 update. This is because the V3 update only processes the update data that is successfully processed with the V2 update. Independently of the serialization, update errors that occur in the V2 update of a transaction and which cannot be reposted have the consequence that the V3 updates for the transaction that are still open can never be processed. This can thus lead to inconsistencies in the data in the BW system.

Multiple Language Problems in a Serialized V3 Update: If there are application documents within an R/3 system from several different users that are logged on to the system in different languages, the V3 collective run always processes the update entries for just one language within a process call. Subsequently, a process call for the update entries for the documents created in the next language is started automatically. Thus, with the serialized V3 update, only the update entries can be processed that were created in a direct, timely sequence and with the same logon language. If the language is changed within the update entry sequence, the V3 collective updating process ends and is reset with the new language. With each reset, the update table VBHDR is read from the database. If a high number of entries exists in the update tables, this can lead to the processing of update data requiring so much time that, concurrently, more new update records are created than are processed.

Multiple Language Problems in a Serialized V3 UpdateNormal V3 Collective RunSerialized V3 Collective Run

Data Flow Schematic for Logistics Extraction with Direct DeltaTimeDelta Request

Data Flow Schematic for Logistics Extraction with Queued DeltaTimeExtraction Collective Run (recommended hourly)Delta Request

CO-PA Extraction

Position of the CO-PA ApplicationCO-PA collects all the OLTP data for calculating contribution margins ( Sales, cost of sales, overhead costs)

CO-PA also has power reporting tools and planning functions however co-pa reporting facility is limited to Integrated cross-application reporting concept is not as differentiated as it is in BW.OLTP system is optimized for transaction processing and high reporting work load has negative impact on the overall performance of the system.

Flow of Actual Values

Flow of Actual ValuesDuring Billing in SD Revenues and Payments are transferred to profitability segments in Profitability Analysis at the same time sales quantities are valuated using standard cost of goods manufactured.In Overhead cost controlling primary postings are made to objects in overhead cost controlling and assigned to relevant cost object. Actual cost of goods manufactured also assigned to cost objects and at the same time performing cost centers are credited

Flow of Actual ValuesThe Production Variances calculated for the cost objects i.e. the difference between the actual cost of the goods manufactured and the standard costs are divided into variance categories and settled to profitability segments (example production orders).What are the top products and customers in our different divisions. This is one of the typical questions that can be answered with CO-PA Module.

Basic ConceptsCharacteristics are the fields in an operating Concern according to which data can be differentiated in Profitability Analysis.Each characteristic in an operating concern has a series of valid characteristic values.Profitability is a fixed combination of valid characteristic values.

CharacteristicsSome Characteristics are predefined in Operating concern like Material, Customer, Company Code. In addition to these fixed characteristics we can define upto 50 characteristics of our own. In most cases we will be able to satisfy our profitability analysis requirements with between 10 to 20 Characteristics.

Value FieldsKey Figures like revenue, cost of goods sold, overhead costs are stored in value fields.

Organizational Structure

Organizational StructureThe Value fields and Characteristics that are required to conduct detailed analysis vary from industry to Industry and between Individual Customers.In CO-PA we can configure structure of one or more operating concerns in each individual installation.An operating concern is an Organizational Structure that groups controlling areas together in the same way controlling areas groups companys together

Data Base Structures in CO-PA

Data Base Structures in CO-PAActual Line Item table: CE1xxxxPlan Line Items: CE2xxxxLine Item Contain some information at document level that most cases is too detailed for analysis example CO-PA Document Number, Sales document Number, Posting date. CO-PA Maintains summarization of data used by all CO-PA functions like reporting, planning, assessments, settlements and so on.

Data Base Structures in CO-PAActual Line Item table: CE1xxxxPlan Line Items: CE2xxxxLine Item Contain some information at document level that most cases is too detailed for analysis example CO-PA Document Number, Sales document Number, Posting date. CO-PA Maintains summarization of data used by all CO-PA functions like reporting, planning, assessments, settlements and so on.

Data Base Structures in CO-PASegment Table: CE4xxxxThe Characteristics that describes the market are first separated from the rest of the line Items.Each combination of characteristic vales is stored in profitability segment number. The Link between the profitability segment number and characteristic values is maintained in Segment Table.

Data Base Structures in CO-PASegment Level: CE3xxxx

The Value fields are summarized at profitability segment and period levels and stored together with these fields in Table CE3xxxx.This table contains total values of the period for each Profitability segment number.

Storage Procedure

Storage ProcedureWe can compare an operating Concern associated by segment table and segment level to an Info cube. Info cube comprises Dimension Table Segment Table) and the fact table ( Segment Level).Unlike Fact table the segment level key contains other keys like Processing type in addition to the key field from the segment table.Characteristics in Info Cube corresponds to characteristics( Or Attributes) in Info Cube. Value fields can be regarded as a Key Figures.

Storage ProcedureSummarization level in Operating Concern have the same function as aggregates for an Info Cube, the difference is that aggregates for Info Cube are managed together with the Info Cube Itself while summarization levels are updated at regular intervals usually daily.Line Items in CO-PA is comparable with Operational Data Store

Data Staging Overview

Data Staging OverviewTo Provide Data Source for BW all CO-PA Data Sources must be generated in the Source System.Data Sources can be defined at Operating Concern and client level.Data Source Contains the following InformationName of the Operating ConcernClientSubset of the CharacteristicsSubset of the Value fieldsTime Stamp which data has already been loaded in to BW.

Display IMG

Creating Data SourceSince Data Source is always defined at operating concern and Client levels a standard name is always generated which starts with 1_CO_PA__

Header Information

Data Source-Segment TableCharacteristics from the segment table are the characteristics that are maintained in transaction KEQ3.By Default all characteristics are selected.

Data Source-Accounting BaseWhen we generate CO-PA Data Source select accounting based option.Fields KOKRS, BUKRS, KSTAR are compulsory.There are no Characteristics available for line Items because accounting based data sources do not contain characteristics.There are no value fields or calculated key figures availableKOKRS and PERIO must be selected as selection fields.

Replicating Data Source

Creating Info Source

Setting up the Delta

FI-SL Extraction

ContentsFI-SL: Positioning and OverviewData Structures in FI-SLGenerating Data SourceExtractorExtracting Application Data

Extracting Data from FI-SL

FI SL: PositioningFI-SL is a system in which data (Planned and Actual) from different levels of OLTP applications. EX: FI-GL, CO-CCA can be combined.In R/3, FI-SL enhances the functions and usability of these applications FI-SL Includes planning functions and reporting tools . FI-SL reporting is however restricted :Cross application reporting is not as diverse as SAP BW reporting. Also OLTP system is optimized for transaction processing and a high reporting work load would have a negative impact on overall performance.

FI-SL Overview

FI-SL OverviewIn FI-SL application we can define our own ledgers for reporting purpose, we can run these ledgers with any account assignment objects from various applications ( account, cost center, business area, profit center).Modules available in SL give us several options for manipulating data that has been transferred from other applications of SAP and external systems into the SL.Ex: Collecting Information, combining information, Forming totals, modifying totals and so on.

FI-SL OverviewSL is a receiver system in which data from various other applications can be stored.Flexible Data Structures: The addition of an extra field to a financial accounting document is an example of FDS. This field can be field either in the application when the document is posted or through a data upload.A ledger is updated either on company code level or the company level.

FI-SL OverviewAdjustment postings ( Direct Data entry) can be made in the FI-SL System and it allowsPost different versions of documents Post documents with a balance not equal to zero. enter additional currency amounts manually.Fiscal year Variant: It determines the number of periods in a fiscal year and it enables to create weekly or monthly reports.Validations: It allows us to check or modify the validity of data when it enters the FI-SL system

Data Flow

Data FlowIn addition to Data from FI, CO, MM and SD external data and data that is entered directly can also be posted into FI-SL.Update takes place either online or as subsequent processing.With Subsequent processing a predefined number of data records are transferred to the FI-SL Data base tables at a certain point in timeWe can use various functions to update data in the FI-SL.Validation: It checks whether there are any freely definable rules for the data that is going to be update.Substitution: Replaces the data with modified data before update.

Data FlowField Transfer: Fields that are transferred determine which characteristics are used in the FI-SL System.Operations available:The Currency translation function translates amounts that have been posted to the ledger in the FI-SL System.Balance Carry forward: At the end of the fiscal year we use this function to transfer actual values and Planned values to the previous fiscal year in to the new fiscal year.We can create rollup ledgers containing cumulated and summarized data from one or more of the other ledgers to speed up report processing time.

Data Structures in FI-SL

Data Structures in FI-SL: Table Group ZZWhen we create an FI-SL Table Group upto 5 tables with fixed naming conversions are created.Summary table(.T)Actual Line Item Table(A)Plan Line Item table(.P)Object Table_1(Object/Partner) (.O)Optional ObjectTable_2(Movement Attribute)(C)

Data Structures in FI-SL: Table Group ZZIn the Object Table an object number is assigned to a combination of characteristics.( Similar to Dimension Table in BW)The Key figures values are stored in a Summary Table along with the resulting Object Numbers. Similar to the Fact Table in BW

Summary Table

Summary TablePeriod Block is a particular feature in Summary Table Data Model: There is a key field RPMAX (Period) that specifies the meaning of the key figures TSL16, HSL16 and KSL16 Meaning that the RPMAX value is 016, the values for the key figures refers to the period 016 of the fiscal year variant that is set in the Customizing.Handling Currencies: The Key Figures TSL01 To TSL16 are always assigned to Transaction Currency that is specified in RTCUR field (Currency Key)

Handling CurrenciesThe Key Figures HSL01 to HSL16 are assigned to the secondary currency that is specified in Customizing:EX: Local Currency.The Key Figures KSL01 to KSL16 are assigned to the third currency that is specified in Customizing. Ex: Company Code Currency.The Key Figures MSL01 to MSL16 are assigned to quantity Value.

Ledgers in FI-SLA ledger is a closed reporting area that always refers to exactly one summary table.Ledger is a logical part of summary table. We can define several ledgers for summary table.A Ledger is created for summary table in customizing.Physical storage of transaction data is always remains in the tables of table group.

Updating the FI SL in BWBW Data source prepares data that is going to be updated in BW.SAP is not able to ship FI-SL Data Sources with BW Business Content for non standard ledgersTo Provide FI SL Data source for BW an Extract Structure must be generated for FI-SL Summary Table and finally we have to define Data Source for the Summary Table Ledger.

Setting Up FI-SL Data SourceStep11 Generate FI-SL Transfer Structure: T code: SBIWBusiness Information Warehouse Settings for Application-Specific Data Sources Financial Accounting - Special Purpose Ledger.This Structure is used to transfer Transaction Data from ledgers to BW.Structure contains fields from Summary Tables, Object Tables.

Setting Up FI-SL Data SourceStep2Step 2: Create Info Source (= Data Source) for Ledger. In step2 define data source for ledger and assign this data source to ledger.Naming Conversion: The Name must start with number 3 . The System proposes the name with the prefix 3FI_SL and the name of the ledger.Note: Data Source delivers transaction data from FI-SL Ledger on a totals record level.

Define Data Source for Ledger