enhancing std extractors

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Enhancing an Extractor

Introduction

Extractors:

Extractors are used to retrieve data in the SAP source system (i.e. ECC in our

case), which can fill the extract structure of a data source with the data from

the SAP source system(i.e. ECC).The extractor may be able to suly morefields than the existin! extract structure.

Extractors are used to extract data from a source system (i.e. ECC) and

transfer it to "# system or "$ system. They are also used for direct access tothe source data from the "# system or "$ system. SAP has rovided standard

extractors for urose of extractin! data. "ut in some situations thesestandard extractors won%t comletely meet our business re&uirements. #n

such cases we need to enhance standard extractors. 'or examle in sometransaction a custom field has been added to meet our re&uirement. Since

this is a custom field it will not be resent in standard extractor. ow we needto include this field in extractor we will have to enhance the standard

extractor.

Extractors use the ataSource defined in SAP for the data extraction.

What is BI?

"usiness intelli!ence ("#) refers to resentation of business records by

collectin!, inte!ratin!, analy*in! the business records.

"# systems rovide historical and ro!nostic views of business oerations."#

most often usin! records that have been !athered into a system andoccasionally wor+in! from oerational data or Transaction data.

BI Extractors

ata retrieval is one of the +ey data warehousin! rocesses in "#. "# rovides

mechanisms extractors for retrievin! data (master data, transaction data,

metadata) from various sources. The extraction and transfer of data occurswhen re&uested by "#.

Data Source:

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ata Source is a set of fields that rovide the data for a business unit for datatransfer into "#.Technically, ataSource is a set of lo!icallyrelated fields that

are rovided to transfer data into "# in the extraction structure.

There are three tyes of ataSource-

ataSource for transaction data

ataSource for master data

ataSource for texts

Extract Structure for a DataSource:

The extraction structure for a data source shows the format in which the

ataSource, or the extractor for the ataSource, transfers its data. Theextract structure must be created in the #C as a dictionary structure or

transarent table. A view is not ermitted here since it would then not !ive

you the otion to add an Aend structure. Aend structure (container forCustom fields) enable you to convert business re&uirements. ou can oulate

the fields in the Aend structure usin! function enhancements ("A#, userexit etc).

When to enhance a DataSource using Extract structure:

"usiness Content does not include the field in a ataSource for your

alication.

$hen we do some enhancement in the standard transaction, we need

more fields.

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Enhance a DataSource using Extract structure Procedure:

Step 1:/o to transaction 0SA1 for enhancin! a datasource usin!

extract structure. Select a ataSource (0REF!").

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Step #:Choose the data sources which need to be enhanced usin!

extract structure. Clic+ on extract structure (0E#S2CAS3'45$2T0A).

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Step $:ow use 6%ppend Structure7 to aend new fields.

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Step &:ow add the re&uired fields.

Step ':Activate the aend structure./o to 0SA1 transaction select the

data source /o to datasourcechan!e ataSource.

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Step ":3ere, we have the otions li+e 8Se(ect%, 8)ide%, 8In*ersion% and

8Fie(d on(+% each for a different use.

Se(ection:They act as selection criteria for data extraction in 0SA9

transaction.

)ide fie(d: :sedexclude an extract structure field from the data

transfer. As a result of our action, the field is no lon!er

made available in "$ or "# when settin! the transfer rules

and !eneratin! the transfer structure.

In*ersion: #nversion is only ossible for certain transaction data

ataSources. These include ataSources that have a field

that is indicated as an inversion field.The value of the +ey

fi!ure is then transferred in inverted form i.e. multilied by

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to ass on the aend structure field to the extractor

to!ether with the fields of the delivered extract structures in

the field list as well as in the selection table.

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Procedure to popu(ate the records in the data source:

Step 1: To oulate the records accordin! to the business re&uirement we

can do by imlementin! a "A#, :SE0E=#T etc.3ere we have used "A#

6RS,'7.

Step #: Select the interface !o to the data transform.

$ith delta load, we can revent lon! loadin! times and unnecessary loc+s

on the database by only loadin! new or modified data records into SAP

"$. This is advanta!eous when wor+in! with alications with lar!e data

collections.

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,pdate -odes

eltainitiali*ation- etermines the be!innin! inventory> can be

run multile times for each ataSource with enhanced selection

criteria.

elta udate- etermines and loads the delta dataset.

'ull udate- etermines and loads the entire dataset. ou need

to delete the data in the "$ before reloadin!.

Step $: #nside method write the erform si!nature.

Step &: ow !o the SE9? create a reort 6.P-E1!0REF!"6, Select tye

as 6Su/routine poo(.

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Step '- #nside the form ta+e the field values from "# into an internal table.

"ased on the field values from "# fetch the data from ECC system then ass

the fetched into the internal table 6!2!D%2%.

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Extraction of the data:

5nce new datasource is created throu!h any of the methods exlained

above, it is ready for the extraction. So, for extractin! the data from the

new datasource-

/o to the transaction 0SA 9.

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All the records satisfyin! the desired selection criteria will be extracted and

dislayed

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enhancing std extractors

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