ANLC_READ_MULTIPLE_AFABE SAP Function module

ANLC_READ_MULTIPLE_AFABE is a standard SAP function module available within R/3 SAP systems depending on your version and release level. Below is the pattern details for this FM showing its interface including any import and export parameters, exceptions etc as well as any documentation contributions (Comments) specific to the object.

See here to view full function module documentation and code listing, simply by entering the name ANLC_READ_MULTIPLE_AFABE into the relevant SAP transaction such as SE37 or SE80.

Associated Function Group: ANLR
Released Date: Not Released
Processing type: Normal fucntion module

Pattern for FM ANLC_READ_MULTIPLE_AFABE - ANLC READ MULTIPLE AFABE

CALL FUNCTION 'ANLC_READ_MULTIPLE_AFABE' "
  EXPORTING
    i_anln1 =                   " anla-anln1
    i_anln2 =                   " anla-anln2
    i_bukrs =                   " anla-bukrs
    i_gjahr =                   " anlc-gjahr
*   i_probelesen = ' '          " anla-eigkz
*   i_wait = SPACE              " xfeld
  TABLES
    t_anlc =                    " anlc
  EXCEPTIONS
    NOT_FOUND = 1               "               No record was found
    LOCKED = 2                  "
    .  "  ANLC_READ_MULTIPLE_AFABE

ABAP code example for Function Module ANLC_READ_MULTIPLE_AFABE

The ABAP code below is a full code listing to execute function module ANLC_READ_MULTIPLE_AFABE including all data declarations. The code uses the latest in-line data DECLARATION SYNTAX but I have included an ABAP code snippet at the end to show how declarations would look using the original method of declaring data variables up front. This will allow you to compare and fully understand the new inline method. Please note some of the newer syntax such as the @DATA is not available until a later 4.70 service pack (SP8).

DATA:
it_t_anlc  
 
 TYPE STANDARD TABLE OF ANLC,"TABLES PARAM
wa_t_anlc
 
 LIKE LINE OF it_t_anlc
.

 

SELECT single ANLN1 
  FROM ANLA 
  INTO @DATA(ld_i_anln1).

 

SELECT single ANLN2 
  FROM ANLA 
  INTO @DATA(ld_i_anln2).

 

SELECT single BUKRS 
  FROM ANLA 
  INTO @DATA(ld_i_bukrs).

 

SELECT single GJAHR 
  FROM ANLC 
  INTO @DATA(ld_i_gjahr).

 

SELECT single EIGKZ 
  FROM ANLA 
  INTO @DATA(ld_i_probelesen).


DATA(ld_i_wait) = 'Check type of data required'.
 

"populate fields of struture and append to itab
append wa_t_anlc to it_t_anlc.
.

CALL FUNCTION 'ANLC_READ_MULTIPLE_AFABE'
  EXPORTING
    i_anln1 =                    ld_i_anln1
    i_anln2 =                    ld_i_anln2
    i_bukrs =                    ld_i_bukrs
    i_gjahr =                    ld_i_gjahr
*   i_probelesen =               ld_i_probelesen
*   i_wait =                     ld_i_wait
  TABLES
    t_anlc =                     it_t_anlc
  EXCEPTIONS
    NOT_FOUND =                  1
    LOCKED =                     2
    .  "  ANLC_READ_MULTIPLE_AFABE

IF SY-SUBRC EQ 0.
  "All OK
ELSEIF SY-SUBRC EQ 1. "Exception
  "Add code for exception here
ELSEIF SY-SUBRC EQ 2. "Exception
  "Add code for exception here
ENDIF.

ABAP code to compare 7.40 inline data declaration with original syntax

The below ABAP code uses the older none in-line data declarations. This allows you to see the coding differences/benefits of the later inline syntax. It may also be useful if you are using an older version of SAP as some of the newer syntax above, such as the @DATA is not available until 4.70 EHP 8.

DATA:

ld_i_anln1
 
 TYPE ANLA-ANLN1 ,
it_t_anlc
 
 TYPE STANDARD TABLE OF ANLC ,
wa_t_anlc
 
 LIKE LINE OF it_t_anlc,
ld_i_anln2
 
 TYPE ANLA-ANLN2 ,
ld_i_bukrs
 
 TYPE ANLA-BUKRS ,
ld_i_gjahr
 
 TYPE ANLC-GJAHR ,
ld_i_probelesen
 
 TYPE ANLA-EIGKZ ,
ld_i_wait
 
 TYPE XFELD .



SELECT single ANLN1 
  FROM ANLA 
  INTO ld_i_anln1.
 

"populate fields of struture and append to itab
append wa_t_anlc to it_t_anlc.

SELECT single ANLN2 
  FROM ANLA 
  INTO ld_i_anln2.


SELECT single BUKRS 
  FROM ANLA 
  INTO ld_i_bukrs.


SELECT single GJAHR 
  FROM ANLC 
  INTO ld_i_gjahr.


SELECT single EIGKZ 
  FROM ANLA 
  INTO ld_i_probelesen.

ld_i_wait = 'Check type of data required'.