reduce

[Former Member]

hi nagesh arachuri

what is deference between filtering idocs and reducing idocs

thanks in advance

radhakrishna.

[Former Member]

Filetering IDOC means we are making a check against some value of segament of a field and idoc will be triggered according to that filter..

Reducing IDOC means we are deleting some segaments from IDOC which are not required.

[Former Member]

 Reduced IDocs. In standard scenarios, a data object such as a material master is exchanged between two systems to its full extent. In your implementation, you might not be interested in distributing the full set. You can reduce an IDoc so that it contains only the desired information. This process is called reducing an IDoc type. For example, the material master IDoc (MATMAS02) is delivered with information on all possible views of a material master. If one of the business units in your company does not implement production planning, at definition time you can create a subset of the IDoc type to eliminate the production-planning information. This step helps to reduce the size of the IDoc.

 Filtering. The filtering technique creates a subset of data at run time. Filtering can remove certain segments from an IDoc or a complete IDoc for distribution to a specific system.

 Conversion. The conversion technique converts data in certain fields of the IDoc (for example, Company Code) from their local meaning to a global meaning for distribution.

[Former Member]

hi

good

IDOCs are safe to transfer data, but less volume of data. User is not allowed to access(modify) the data like PSA. IDOCs have 3 parts.

1. Control Record - SOURCE & TARGET details,

2. Data Record - Here comes your query....

Info IDOC - It contains all the technical details related to the data load i.e. Request NO, No of Data Packages, USER, DATE, TIME, LOGICAL SYSTEM, etc. Info IDOC is also ONE segment, the 1 sr segment.

Here data will not be there.

Data IDOC - These are the ones which hold the data. The total no of records are made into Data IDOCs i.e. if 99 records are there then 99 Data IDOCs will be there and all these will be divided into 99 segments.

Hence the total number of Segments in IDOC is 100.

Info IDOC + Data IDOCs = Total no of Segments

1 + 99 = 100.

3. Status Record - Here the status of the data transfer will be available.

thanks

mrutyun^