"Data Statement"beforeDATA text TYPE string.text = `ABC`."740DATA(text) = `ABC`.
"Loop at into work area"beforeDATA wa like LINE OF itab.LOOP AT itab INTO wa.…ENDLOOP."740LOOP AT itab INTO DATA(wa).    …ENDLOOP.
"Call method"beforeDATA a1 TYPE …DATA a2 TYPE …oref->meth( IMPORTING p1 = a1            IMPORTING p2 = a2          )."740oref->meth(        IMPORTING p1 = DATA(a1)        IMPORTING p2 = DATA(a2) ).
"Loop at assigning"beforeFIELD-SYMBOLS: <line> type …LOOP AT itab ASSIGNING <line>.  …ENDLOOP."740LOOP AT itab   ASSIGNING FIELD-SYMBOL(<line>).   …ENDLOOP.
"Read assigning"beforeFIELD-SYMBOLS: <line> type …READ TABLE itab           ASSIGNING <line>."740READ TABLE itab   ASSIGNING FIELD-SYMBOL(<line>).   "Select into table"beforeDATA itab TYPE TABLE OF dbtab.SELECT * FROM dbtab  INTO TABLE itab WHERE fld1 = lv_fld1."740SELECT * FROM dbtab  INTO TABLE @DATA(itab)  WHERE fld1 = @lv_fld1. "Select single into"beforeSELECT SINGLE f1 f2   FROM dbtab  INTO (lv_f1, lv_f2) WHERE …WRITE: / lv_f1, lv_f2."740SELECT SINGLE f1 AS my_f1,              F2 AS abc    FROM dbtab  INTO DATA(ls_structure) WHERE …WRITE: / ls_structure-my_f1,ls_structure-abc.

*使用新语法，如果没找到则会抛出异常CX_SY_ITAB_LINE_NOT_FOUND"Read Table index"beforeREAD TABLE itab INDEX idx INTO wa."740wa = itab[ idx ].
"Read Table  using key"beforeREAD TABLE itab INDEX idx USING KEY key INTO wa."740wa = itab[ KEY key INDEX idx ].
"Read Table with key"beforeREAD TABLE itab WITH KEY col1 = … col2 = … INTO wa."740wa = itab[ col1 = … col2 = … ].
"Read Table with key components"beforeREAD TABLE itab WITH TABLE KEY key COMPONENTS col1 = … col2 = … INTO wa."740wa = itab[ KEY key col1 = … col2 = … ].
"Does record exist?"beforeREAD TABLE itab … TRANSPORTING NO FIELDS.IF sy-subrc = 0.  …ENDIF."740IF line_exists( itab[ … ] ).	…ENDIF.
"Get table index"beforeDATA idx type sy-tabix.READ TABLE … TRANSPORTING NO FIELDS.idx = sy-tabix."740DATA(idx) = line_index( itab[ … ] ).

CONV dtype|#( … ) dtype = Type you want to convert to (显式转换)#     = compiler must use the context to decide the type to convert to (隐式转换) 简单理解DATA: LV_TEXT TYPE CHAR01,      LV_STR TYPE STRING. " 显式转换：将LV_TEXT转换成STRING类型LV_STR = CONV STRING( LV_TEXT )." 隐式转换：将LV_TEXT转换成LV_STR的类型LV_STR = CONV #( LV_TEXT ).
"beforeDATA text   TYPE c LENGTH 255.DATA helper TYPE string.DATA xstr   TYPE xstring.helper = text.xstr = cl_abap_codepage=>convert_to( source = helper )."740DATA text TYPE c LENGTH 255.
DATA(xstr) = cl_abap_codepage=>convert_to( source = CONV string( text ) ).                                                         ORDATA(xstr) = cl_abap_codepage=>convert_to( source = CONV #( text ) ).

*定义变量：VALUE dtype|#( )结构：VALUE dtype|#( comp1 = a1 comp2 = a2 … )内表：VALUE dtype|#( ( … ) ( … ) … ) …*结构赋值TYPES:  BEGIN OF ty_columns1, “Simple structure            cols1 TYPE i,            cols2 TYPE i,        END OF ty_columns1.TYPES: BEGIN OF ty_columnns2,  “Nested structure            coln1 TYPE i,            coln2 TYPE ty_columns1,       END OF ty_columns2.DATA: struc_simple TYPE ty_columns1,      struc_nest   TYPE ty_columns2.struct_nest = VALUE t_struct(coln1 = 1                             coln2-cols1 = 1                             coln2-cols2 = 2                             ). 或者struct_nest = VALUE t_struct(coln1 = 1                             coln2 = VALUE #( cols1 = 1                                              cols2 = 2 ) *内表赋值" 内表TYPES t_itab TYPE TABLE OF i WITH EMPTY KEY.DATA itab TYPE t_itab.itab = VALUE #( ( ) ( 1 ) ( 2 ) ). " RangeDATA itab TYPE RANGE OF i.itab = VALUE #( sign = 'I'  option = 'BT' ( low = 1  high = 10 )                                          ( low = 21 high = 30 )                                          ( low = 41 high = 50 )                            option = 'GE' ( low = 61 )                )

*定义	FOR wa|<fs> IN itab [INDEX INTO idx] [cond]循环内表itab，读取行分配给结构wa或字段符号<fs>INDEX为循环索引，赋值给idx变量，非必填cond为循环条件*案例一TYPES: BEGIN OF TY_SHIP,         TKNUM TYPE TKNUM,     "SHIPMENT NUMBER         NAME  TYPE ERNAM,     "NAME OF PERSON WHO CREATED THE OBJECT         CITY  TYPE ORT01,     "STARTING CITY         ROUTE TYPE ROUTE,     "SHIPMENT ROUTE       END OF TY_SHIP.TYPES: TY_SHIPS TYPE SORTED TABLE OF TY_SHIP WITH UNIQUE KEY TKNUM.TYPES: TY_CITYS TYPE STANDARD TABLE OF ORT01 WITH EMPTY KEY. " 这里的TY_SHIPS需要声明表类型，且要指明是否带KEY值DATA(GT_SHIPS) = VALUE TY_SHIPS(                    ( TKNUM = 001 NAME = 'John' CITY = 'Melbourne' ROUTE = 'R0001' )                    ( TKNUM = 002 NAME = 'Gavin' CITY = 'Sydney' ROUTE = 'R0003' )                    ( TKNUM = 003 NAME = 'Lucy' CITY = 'Adelaide' ROUTE = 'R0001' )                    ( TKNUM = 004 NAME = 'Elaine' CITY = 'Perth' ROUTE = 'R0003' )                  ). DATA(GT_CITYS) = VALUE TY_CITYS( FOR LS_SHIP IN GT_SHIPS WHERE ( ROUTE = 'R0001' )                                  ( LS_SHIP-CITY ) ).*案例二TYPES: BEGIN OF TY_INDEX,         INDEX TYPE I,         NAME TYPE CHAR30,       END OF TY_INDEX. DATA: GT_INDEX TYPE STANDARD TABLE OF TY_INDEX. GT_INDEX = VALUE #( FOR LS_SHIP IN GT_SHIPS INDEX INTO GV_INDEX WHERE ( ROUTE = 'R0003' )                     ( INDEX = GV_INDEX NAME = |NAME:{ LS_SHIP-NAME }| ) ). *案例三TYPES: BEGIN OF TY_LINE,         COL1 TYPE I,         COL2 TYPE I,         COL3 TYPE I,       END OF TY_LINE,       TY_TAB TYPE STANDARD TABLE OF TY_LINE WITH EMPTY KEY. DATA(GT_ITAB) = VALUE TY_TAB( FOR J = 11 THEN J + 10 UNTIL J > 40                     ( COL1 = J COL2 = J + 1 COL3 = J + 2  ) ).

*定义
… REDUCE type(INIT result = start_value           …    FOR for_exp1    FOR for_exp2           …    NEXT …         result = iterated_value    … ) *案例1 TYPES: BEGIN OF TY_LINE,         COL1 TYPE I,       END OF TY_LINE,       TY_TAB TYPE STANDARD TABLE OF TY_LINE WITH EMPTY KEY. DATA(GT_ITAB) = VALUE TY_TAB( FOR J = 1 THEN J + 1 UNTIL J > 10                              ( COL1 = J  )                            ). DATA(LV_SUM) = REDUCE I( INIT X = 0 FOR LS_ITAB IN GT_ITAB NEXT X = X + LS_ITAB-COL1 ).CL_DEMO_OUTPUT=>DISPLAY( LV_SUM ).*案例2YPES OUTREF TYPE REF TO IF_DEMO_OUTPUT. DATA(OUTPUT) = REDUCE OUTREF( INIT OUT  = CL_DEMO_OUTPUT=>NEW( )                                   TEXT = `Count up:`                              FOR N = 1 THEN N + 2 UNTIL N > 11                              NEXT OUT  = OUT->WRITE( TEXT )                                   TEXT = |{ N }| ). OUTPUT->DISPLAY( ).

*定义… COND dtype|#( WHEN log_exp1 THEN result1[ WHEN log_exp2 THEN result2 ]…[ ELSE resultn ] ) …*案例1
DATA(TIME) =  COND STRING(    WHEN SY-TIMLO < '120000' THEN      |{ SY-TIMLO TIME = ISO } AM|    WHEN SY-TIMLO > '120000' THEN      |{ CONV T( SY-TIMLO - 12 * 3600 ) TIME = ISO } PM|    WHEN SY-TIMLO = '120000' THEN      |High Noon|    ELSE      |Throw Exception| ). CL_DEMO_OUTPUT=>DISPLAY( TIME ).

*定义… SWITCH dtype|#( operandWHEN const1 THEN result1[ WHEN const2 THEN result2 ]…[ ELSE resultn ] ) …*案例1DATA(LANGU) = SWITCH #( SY-LANGU                       WHEN 'D' THEN 'DE'                       WHEN 'E' THEN 'EN'                       WHEN '1' THEN 'ZH'                      ). CL_DEMO_OUTPUT=>DISPLAY( LANGU ).

*定义… CORRESPONDING type( [BASE ( base )] struct|itab [mapping|except] )*案例1TYPES: BEGIN OF LINE1,         COL1 TYPE I,         COL2 TYPE I,       END OF LINE1. TYPES: BEGIN OF LINE2,         COL1 TYPE I,         COL2 TYPE I,         COL3 TYPE I,       END OF LINE2. DATA(LS_LINE1) = VALUE LINE1( COL1 = 1 COL2 = 2 ).WRITE: / 'ls_line1 =' ,15 LS_LINE1-COL1, LS_LINE1-COL2. DATA(LS_LINE2) = VALUE LINE2( COL1 = 3 COL2 = 4 COL3 = 5 ).WRITE: / 'ls_line2 =' ,15 LS_LINE2-COL1, LS_LINE2-COL2, LS_LINE2-COL3.SKIP 2. LS_LINE2 = CORRESPONDING #( LS_LINE1 ).WRITE: / 'ls_line2 = CORRESPONDING #( ls_line1 )'      ,70 'Result is ls_line2 = '      ,LS_LINE2-COL1, LS_LINE2-COL2, LS_LINE2-COL3.SKIP. LS_LINE2 = VALUE LINE2( COL1 = 3 COL2 = 4 COL3 = 5 ).LS_LINE2 = CORRESPONDING #( BASE ( LS_LINE2 ) LS_LINE1 ).WRITE: / 'ls_line2 = CORRESPONDING #( BASE ( ls_line2 ) ls_line1 )'        , 70 'Result is ls_line2 = '        , LS_LINE2-COL1, LS_LINE2-COL2, LS_LINE2-COL3.SKIP. LS_LINE2 = VALUE LINE2( COL1 = 3 COL2 = 4 COL3 = 5 ).DATA(LS_LINE3) = CORRESPONDING LINE2( BASE ( LS_LINE2 ) LS_LINE1 ).WRITE: / 'DATA(ls_line3) = CORRESPONDING line2( BASE ( ls_line2 ) ls_line1 )'        , 70 'Result is ls_line3 = '        , LS_LINE3-COL1, LS_LINE3-COL2, LS_LINE3-COL3.

*BeforeCLEAR ls_line2.MOVE-CORRESPONDING ls_line1 TO ls_line2.*740 根据line1的列数据匹配到line2上，如果不存在，则置为初始化ls_line2 = CORRESPONDING #( ls_line1 ).
*BeforeMOVE-CORRESPONDING ls_line1 TO ls_line2.*740 相当于MOVE-CORRESPONDING 在ls_line2的基础上匹配line1的数据ls_line2 = CORRESPONDING # ( BASE ( ls_line2 ) ls_line1 ).
*BeforeDATA: ls_line3 like ls_line2.ls_line3 = ls_line2.MOVE-CORRESPONDING ls_line1 TO ls_line2.*740 基于line2类型创建ls_line3，而且基于ls_line2数据的基础上，匹配line1数据DATA(ls_line3) = CORRESPONDING line2 ( BASE ( ls_line2 ) ls_line1 ).

*定义格式：|xxx { xxx } xxx|固定文本放在 | | 之间变量参数放在 { } 之间
*组合 案例1*BeforeDATA lv_output TYPE string.CONCATENATE 'Hello' 'world' INTO lv_output SEPARATED BY space.*740DATA(lv_out) = |Hello| & | | & |world|.
*宽度/对齐方式/填充WRITE / |{ 'Left'     WIDTH = 20 ALIGN = LEFT   PAD = '0' }|.WRITE / |{ 'Centre'   WIDTH = 20 ALIGN = CENTER PAD = '0' }|.WRITE / |{ 'Right'    WIDTH = 20 ALIGN = RIGHT  PAD = '0' }|.
*大小写WRITE / |{ 'Text' CASE = (cl_abap_format=>c_raw) }|.WRITE / |{ 'Text' CASE = (cl_abap_format=>c_upper) }|.WRITE / |{ 'Text' CASE = (cl_abap_format=>c_lower) }|.
*前导零DATA(lv_vbeln) = '0000012345'.WRITE / |{ lv_vbeln  ALPHA = OUT }|.  “or ALPHA = IN to go in other direction
*日期WRITE / |{ pa_date DATE = ISO }|.           “Date Format YYYY-MM-DDWRITE / |{ pa_date DATE = User }|.          “As per user settingsWRITE / |{ pa_date DATE = Environment }|.   “As per Environment

*定义LOOP AT itab result [cond] GROUP BY key ( key1 = dobj1 key2 = dobj2 …      [gs = GROUP SIZE] [gi = GROUP INDEX] )[ASCENDING|DESCENDING [AS TEXT]][WITHOUT MEMBERS][{INTO group}|{ASSIGNING <group>}]…[LOOP AT GROUP group|<group>…ENDLOOP.]…ENDLOOP.
*案例1TYPES: BEGIN OF TY_PEOPLE,         NAME TYPE CHAR30,         AGE  TYPE I,         SEX  TYPE CHAR2,         ROLE TYPE CHAR10,       END OF TY_PEOPLE. TYPES: TY_PEOPLE_T TYPE STANDARD TABLE OF TY_PEOPLE WITH KEY NAME. DATA: LV_AGE_SUM TYPE I,      LV_AGE_AVG TYPE P DECIMALS 3. DATA(LT_PEOPLES) = VALUE TY_PEOPLE_T(                                      ( NAME = '张三' AGE = 11 SEX = '男' ROLE = '学生')                                      ( NAME = '李四' AGE = 12 SEX = '女' ROLE = '老师')                                      ( NAME = '王五' AGE = 13 SEX = '男' ROLE = '学生')                                      ( NAME = '赵六' AGE = 14 SEX = '女' ROLE = '打工人')                                      ( NAME = '孙七' AGE = 15 SEX = '男' ROLE = '老师')                                      ( NAME = '吴八' AGE = 16 SEX = '女' ROLE = '学生')                                      ( NAME = '陈九' AGE = 17 SEX = '男' ROLE = '打工人')                                      ( NAME = '华十' AGE = 18 SEX = '女' ROLE = '学生')                                    ). "这里的排序是根据关键字来排序的 先根据ROLE，相同的ROLE再根据SEXLOOP AT LT_PEOPLES REFERENCE INTO DATA(LS_PEOPLES)                   GROUP BY ( ROLE  = LS_PEOPLES->ROLE                              SEX   = LS_PEOPLES->SEX                              SIZE  = GROUP SIZE                              INDEX = GROUP INDEX  )                   DESCENDING                   INTO DATA(LT_GROUPS).  CLEAR: LV_AGE_SUM.  WRITE: / |Group: { LT_GROUPS-INDEX }      					Role: { LT_GROUPS-ROLE WIDTH = 15 }               Sex: { LT_GROUPS-SEX WIDTH = 10 }              Number in this role: { LT_GROUPS-SIZE }|.   LOOP AT GROUP LT_GROUPS INTO DATA(LS_GROUPS).    LV_AGE_SUM = LV_AGE_SUM + LS_GROUPS-AGE.    WRITE: /25 LS_GROUPS-NAME.  ENDLOOP.   LV_AGE_AVG = LV_AGE_SUM / LT_GROUPS-SIZE.  WRITE: / |Average age: { LV_AGE_AVG }|.  SKIP.ENDLOOP.

*定义… FILTER type( itab [EXCEPT] [IN ftab] [USING KEY keyname]WHERE c1 op f1 [AND c2 op f2 […]] )
*案例TYPES: BEGIN OF TY_FILTER,         CITYFROM TYPE SPFLI-CITYFROM,         CITYTO   TYPE SPFLI-CITYTO,         F3       TYPE I,       END OF TY_FILTER,       TY_FILTER_TAB TYPE HASHED TABLE OF TY_FILTER                     WITH UNIQUE KEY CITYFROM CITYTO.DATA: LT_SPLFI TYPE STANDARD TABLE OF SPFLI. SELECT * FROM SPFLI APPENDING TABLE LT_SPLFI. DATA(LT_FILTER) = VALUE TY_FILTER_TAB( F3 = 2                          ( CITYFROM = 'NEW YORK'  CITYTO  = 'SAN FRANCISCO' )                          ( CITYFROM = 'FRANKFURT' CITYTO  = 'NEW YORK' )  ). DATA(LT_MYRECS) = FILTER #( LT_SPLFI IN LT_FILTER                                  WHERE CITYFROM = CITYFROM                                    AND CITYTO = CITYTO ). "OUTPUT FILTERED RECORDSWRITE: / 'Carrid', 8 'CityFrom', 30 'CityTo', 45 'Deptime'.LOOP AT LT_MYRECS ASSIGNING FIELD-SYMBOL(<LS_REC>).  WRITE: / <LS_REC>-CARRID,8 <LS_REC>-CITYFROM,30           <LS_REC>-CITYTO,45 <LS_REC>-DEPTIME.ENDLOOP.