Like operator in for all entries

hi all,
may i know how to apply like for "for all entries"
where the first position is 9.
syntax is incorrect. hope can get help.
thanks
CONCATENATE itab-xx+0(1) '%' INTO v_kstar.
SELECT kstar txt20 INTO TABLE it_act
    FROM aaa
    FOR ALL ENTRIES IN itab
    WHERE kstar like v_kstar AND
          spras = sy-langu.

in that case u have to call with in loop itself, may be there is another way also.
do v_times times
     varying v_name
     from dept-dept01
     next dept-dept02.
    concatenate p_rprctr '%' v_name into v_dep.
   concatenate '%' v_name into v_dep.
    select single mctxt into v_txt
      from cskt
      where cskt~spras = 'EN'
      and   cskt~kokrs = 'PEPS'
      and   cskt~kostl like v_dep
      and   cskt~datbi eq '99991231'.
    concatenate v_txt '-' v_name into v_txt.
    write: (47) v_txt centered no-gap ,
          sy-vline no-gap .
    hide v_name.
clear v_dep.
enddo.
its not a complete code , just a sample code.
Regards
Prabhu

Similar Messages

LIKE in SELECT FOR ALL ENTRIES

Hello all,
select * from mara
            into corresponding fields of tabel itab_mara
            for all entries in table itab
            where matnr LIKE itab-matnr.
for my requirement, I want to use the above statement. because in ITAB, i have MATNR with only 10 digit.
But the problem is system does not allow this syntax.
Do you have an idea which will avoid any other SELECT s and get away with it.
Thanks.

Hi
Select Statements    contdFor All Entries
     The for all entries creates a where clause, where all the entries in the driver table are combined with OR. If the number of entries in the driver table is larger than rsdb/max_blocking_factor, several similar SQL statements are executed to limit the length of the WHERE clause.
     The plus
     Large amount of data
     Mixing processing and reading of data
     Fast internal reprocessing of data
     Fast
     The Minus
     Difficult to program/understand
     Memory could be critical (use FREE or PACKAGE size)
Points to be must considered FOR ALL ENTRIES
     Check that data is present in the driver table
     Sorting the driver table
     Removing duplicates from the driver table
Consider the following piece of extract
Loop at int_cntry.
       Select single * from zfligh into int_fligh
where cntry = int_cntry-cntry.
Append int_fligh.
Endloop.
The above mentioned can be more optimized by using the following code.
Sort int_cntry by cntry.
Delete adjacent duplicates from int_cntry.
If NOT int_cntry[] is INITIAL.
            Select * from zfligh appending table int_fligh
            For all entries in int_cntry
            Where cntry = int_cntry-cntry.
Endif.

Select query like For all Entries

Hi,
I have a requirement like:
I need to extract data (BKTXT) from table BKPF based on some criteria, into one internal table and I need to query on REGUP table for the above data, the selection criteria on REGUP as follows:
BKTXT(Document Header Text with 25 Char) is a combination of DATE and character string.
Ex: bkpf-bktxt = 20060710-PL02 (YYYYMMDD)
it is like LAUFD + LAUFI (of table REGUP)
i.e: LAUFD (REGUP) = 07/10/2006 (MM/DD/YYYY) and LAUFI(REGUP) = PL02
here I am thinking to use a select query on REGUP using FOR ALL ENTRIES of table i_bkpf..
How can I change the date format YYYYMMDD to MM/DD/YYYY for my requirement?
(( Run-on Date (REGUP-LAUFD) = the first 8 characters in the Document Header Text (BKPF- BKTXT) in MM/DD/YYYY date format (e.g. 07/10/2006)
 Run ID (REGUP-LAUFI) = the 10th character through the 15th character in the Document Header Text (BKPF- BKTXT)

It is not possible to do in the way you are thinking of doing. "For all entries" requires you to have the itab table field and the database table field to have the same type and length. So something like below will not work.
TABLES: regup.
DATA: BEGIN OF itab OCCURS 0,
 text LIKE bkpf-bktxt.
DATA: END OF itab.
DATA: BEGIN OF itab_regup OCCURS 0.
 INCLUDE STRUCTURE regup.
DATA: END OF itab_regup.
SELECT * INTO TABLE itab_regup
 FROM regup FOR ALL ENTRIES IN itab
 WHERE laufd = itab-text+0(8).
If you run this code, you will get an error as follows:
"When using the addition "FOR ALL ENTRIES IN itab", the fields "LAUFD" and "ITAB-TEXT+0(8)" must have the same type and length."

Does 'For All Entries in itab' work exactly like 'Join' statement?

Hi,
I would like to know that if 'For All Entries in itab' work exactly like 'Join' statement?
If yes, then when I use 'For All Entries in itab' and a 'Join' statement seperately with the same logical conditions for both, the number of records returned by the two methods are not same. Ideally, they should both return the same number of recs.
Can somebody help?
With regards.

Hi,
for all entries will not work in the same way unless untill it should satisfy some conditions,
it has some pre-requisests...
like in the select clause or in where clause or in both the cluases, there should be entire key..
then only it will behave like the join statement..
hope i am clear.
please revert back if u have any quiries.
Regards,
Sunil Kumar Mutyala.

For All Entries is NOT better than INNER JOIN in most cases

I quote from Siegfried Boes' excellent post here: Will writing an inner join be better or creating a view?
For all the FOR ALL ENTRIES lovers ... there is no proof for these reappearing recommendation.
There is nearly nobody who receives forum points, who recommends FOR ALL ENTRIES instead of Joins. What is the reason ???
It is easier to prove the opposite. A Join is a nested loop inside the database, a FOR ALL ENTRIES is partly outside of the database. FOR ALL ENTRIES works in blocks, joins on totals.
FOR ALL ENTRIES are not recommded on really large tables, because the chances are too high that
too many records are transferred.
People prefer FOR ALL ENTRIES, because JOINs are not so easy to understand. Joins can go wrong, but with a bit of understanding they can be fixed.
Some Joins are slow and can not be fixed, but then the FOR ALL ENTRIES would be extremely slow.
There are several kinds of views:
- projection views, i.e. only one table involved just fields reduced
- join views, several tables, joins conditions stored in dictionary
- materialized views, here the joined data are actually stored in the database. Storing and synchronisation has to be done manually.
Only the last one creates real overhead. It should be the exception.
Join Views and Joins are nearly identical. The view is better for reuse. The join is better in complicated, becuase if the access goes wrong, it can often be fixed by adding a hint. Hints can not be added to views.
Abraham Bukit points out:
If it is cluster table, (you can't use join). If it is buffered table, I would also say avoid join.
If they all are transaction table which are not buffered and are not cluster tables.
He further supports Siegfried's statement that FAE is easier to undestand than INNER JOINs.
Thomas Zloch says, regarding buffered tables:
At least think twice, maybe compare runtimes if in doubt.
So, unless someone has some EVIDENCE that FOR ALL ENTRIES is better, I don't think we want to see this discussed further.
Kind regards
Matt

To give food for thought here's an example I gave in a thread:
If you have a statement like
SELECT ... FOR ALL ENTRIES IN FAE_itab WHERE f = FAE_itab-f.
SAP sends it to the database depending how the parameter rsdb/prefer_union_all is set:
rsdb/prefer_union_all = 0 =>
SELECT ... WHERE f = FAE_itab[1]-f
          OR    f = FAE_itab[2]-f
          OR    f = FAE_itab[N]-f
You have some influence of the generated statement type: Instead of OR'ed fields an IN list can be used
if you have only a single coulmn N to compare:
rsdb/prefer_in_itab_opt parameter:
SELECT ... WHERE f IN (itab[1]-f, itab[2]-f, ..., itab[N]-f)
rsdb/prefer_union_all = 1 =>
SELECT ... WHERE f = FAE_itab[1]-f
UNION ALL SELECT ... WHERE f = FAE_itab[2]-f
UNION ALL SELECT ... WHERE f = FAE_itab[N]-f
see: Note 48230 - Parameters for the SELECT ... FOR ALL ENTRIES statement
As you can see for the 2nd parameter several statements are generated and combined with a UNION ALL,
the first setting generates statements with OR's (or uses IN if possible) for the entries in FAE_itab.
I give you a little example here (my parameters are set in a way that the OR's are translated to IN lists; i traced the execution in ST05)
Select myid into table t_tabcount from mydbtable
for all entries in t_table    " 484 entries
    where myid = t_table-myid .
ST05 trace:
|Transaction SEU_INT|Work process no 0|Proc.type DIA|Client 200|User |
|Duration |Obj. name |Op.    |Recs.|RC    |Statement|
| 640|mydbtable |PREPARE|   | 0|SELECT WHERE "myid" IN ( :A0 , :A1 , :A2 , :A3 , :A4 ) AND "myid" = :A5|
| 2|mydbtable |OPEN   |   | 0|SELECT WHERE "myid" IN ( 1 , 2 , 3 , 4 , 5 ) AND "myid" = 72 |
| 2.536|mydbtable |FETCH |    0| 1403|   |
| 3|mydbtable |REOPEN |   | 0|SELECT WHERE "myid" IN ( 6 , 7 , 8 , 9 , 10 ) AND "myid" = 72 |
| 118|mydbtable |FETCH | 0| |
| 2|mydbtable |REOPEN | | 0|SELECT WHERE "myid" IN ( 11 , 12 , 13 , 14 , 15 ) AND "myid" = 72     |
| 3|mydbtable |REOPEN | | 0|SELECT WHERE "myid" IN ( 475 , 476 , 477 , 478 , 479 ) AND "myid" = 72 |
| 94|mydbtable |FETCH | 0| 1403|   |
| 2|mydbtable |REOPEN |   | 0|SELECT WHERE "myid" IN ( 480 , 481 , 482 , 483 , 484 ) AND "myid" = 72 |
You see the IN list contained 5 entries each , wich made up about 97 statements for all 484 entries.
For every statment you have a single fetch operation wich means a separate access to the database.
If you would replace the FAE with a join you would only have one fetch to the database.
With the example above we can derive these observations:
1. From database point of view these settings kill performance when you access a big table and/or have a lot of entries or columns in your FAE_itab. Furthermore, you hide information what data you will access
at all and thus you block the database from creating a more efficient execution plan because it DOESN'T KNOW wich data you will select in the next step. I.e. it may be more efficient to scan the table in one shot instead of having many index accesses - but the database can make this decision only if it can examine ONE statement that has ALL the information of what data to retrieve.
2. A second impact is that with every statement execution you trigger the allocation of database resources
wich will contribute to the overhead described above.
Said that, FAE can never be a replacement for joining big tables (think of having a table with thousands of records in a FAE table )
Edited by: kishan P on Nov 2, 2010 2:16 PM - Format Fixed

Select... for all entries in...

Hi,
Can anybody help me to sort out this issue. This select should work. I m filling an itab with distinct pernr. in temp it should give all the records for which pernr should not be in itab.
report ZTEST4.
data : begin of ITAB occurs 0,
 PERNR like PA0001-PERNR,
 ename like pa0001-ename,
 end of ITAB.
data : temp like itab occurs 0 with header line.
clear : ITAB, TEMP.
refresh : ITAB,TEMP.
select distinct PERNR into table ITAB from PA0001 where PERNR le 10.
select PERNR ENAME into table TEMP from PA0001
for all entries in ITAB where pernr not in itab-pernr.
sort TEMP by PERNR.
break-point.

Hi Sagar,
If i understand it well, you exclude all PERNR LE 10.
But first things first.
You cannot use the FOR ALL ENTRIES in your case (it doesn't allow the operator "NOT IN").
Your code should be:
REPORT ztest4.
TYPES: BEGIN OF ty_itab,
 pernr TYPE persno,
 ename TYPE emnam,
 END OF ty_itab.
DATA : itab TYPE ty_itab occurs 0,
 wtab TYPE ty_itab.
CLEAR: itab,
 wtab.
SELECT pernr ename
 INTO TABLE itab
 FROM pa0001
 WHERE pernr LE 10
 ORDER BY pernr.
IF sy-subrc EQ 0.
DELETE ADJACENT DUPLICATES FROM itab COMPARING pernr.
ENDIF.
Regards,
Rob.

For All Entries with two tables

Hi All,
         Can we use FOR ALL ENTRIES with two tables. for example
SELECT * FROM MKPF INTO TABLE T_MKPF
         WHERE BUDAT IN S_BUDAT.
SELECT * FROM MARA INTO TABLE T_MARA
         WHERE MTART IN S_MTART AND
                        MAKTL IN S_MAKTL.
SELECT * FROM MSEG INTO TABLE T_MSEG
       FOR ALL ENTRIES IN "T_MKPF AND T_MARA"
              WHERE MBLNR EQ T_MKPF-MBLNR AND
                             MATNR EQ T_MARA-MATNR.
can we do it like this or any other way to do this plz tell. I waitting for your responce.
Thanks
Jitendra

Hi,
u cannot do like this....chek some documentation on it..
1. duplicate rows are automatically removed
2. if the itab used in the clause is empty , all the rows in the source table will be selected .
3. performance degradation when using the clause on big tables.
Say for example you have the following abap code:
Select * from mara
For all entries in itab
Where matnr = itab-matnr.
If the actual source of the material list (represented here by itab) is actually another database table, like:
select matnr from mseg
into corresponding fields of table itab
where .
Then you could have used one sql statement that joins both tables.
Select t1.*
From mara t1, mseg t2
Where t1.matnr = t2.matnr
And T2..
So what are the drawbacks of using the "for all entires" instead of a join ?
At run time , in order to fulfill the "for all entries " request, the abap engine will generate several sql statements (for detailed information on this refer to note 48230). Regardless of which method the engine uses (union all, "or" or "in" predicates) If the itab is bigger then a few records, the abap engine will break the itab into parts, and rerun an sql statement several times in a loop. This rerun of the same sql statement , each time with different host values, is a source of resource waste because it may lead to re-reading of data pages.
returing to the above example , lets say that our itab contains 500 records and that the abap engine will be forced to run the following sql statement 50 times with a list of 10 values each time.
Select * from mara
Where matnr in ( ...)
Db2 will be able to perform this sql statement cheaply all 50 times, using one of sap standard indexes that contain the matnr column. But in actuality, if you consider the wider picture (all 50 executions of the statement), you will see that some of the data pages, especially the root and middle-tire index pages have been re-read each execution.
Even though db2 has mechanisms like buffer pools and sequential detection to try to minimize the i/o cost of such cases, those mechanisms can only minimize the actual i/o operations , not the cpu cost of re-reading them once they are in memory. Had you coded the join, db2 would have known that you actually need 500 rows from mara, it would have been able to use other access methods, and potentially consume less getpages i/o and cpu.
In other words , when you use the "for all entries " clause instead of coding a join , you are depriving the database of important information needed to select the best access path for your application. Moreover, you are depriving your DBA of the same vital information. When the DBA monitors & tunes the system, he (or she) is less likely to recognize this kind of resource waste. The DBA will see a simple statement that uses an index , he is less likely to realize that this statement is executed in a loop unnecessarily.
Beore using the "for all entries" clause and to evaluate the use of database views as a means to:
a. simplify sql
b. simplify abap code
c. get around open sql limitations.
check the links
http://www.thespot4sap.com/articles/SAPABAPPerformanceTuning_ForAllEntries.asp
The specified item was not found.
Regards,
Nagaraj

Problem with for all entries

Hi all,
When i was trying to use for all entries, i am not able to pull records inside my internal table. Though both of the tables have the common key fields between them(and ofcourse have entries in that). Now what i have analyzed was, the first table is having 7 primary keys and the one i am using for 'for all entries' comes 6th. Does this gives any impact in pulling records inside my internal table?.Else please give me a possible solution for this. The alternate statement(a normal select query with * ) that i had used for this reserved my dialog processor for a while. Which resulted in 'time exceeded' short dump.

Hi,
The WHERE clause of the SELECT statement has a special variant that allows you to derive conditions from the lines and columns of an internal table:
SELECT ... FOR ALL ENTRIES IN <itab> WHERE <cond> ...
<cond> may be formulated as described above. If you specify a field of the internal table <itab> as an operand in a condition, you address all lines of the internal table. The comparison is then performed for each line of the internal table. For each line, the system selects the lines from the database table that satisfy the condition. The result set of the SELECT statement is the union of the individual selections for each line of the internal table. Duplicate lines are automatically eliminated from the result set. If <itab> is empty, the addition FOR ALL ENTRIES is disregarded, and all entries are read.
The internal table <itab> must have a structured line type, and each field that occurs in the condition <cond> must be compatible with the column of the database with which it is compared. Do not use the operators LIKE, BETWEEN, and IN in comparisons using internal table fields. You may not use the ORDER BY clause in the same SELECT statement.
You can use the option FOR ALL ENTRIES to replace nested select loops by operations on internal tables. This can significantly improve the performance for large sets of selected data.
Hope this is useful
Reema

Queries for FOR ALL ENTRIES IN

1. If I use For all entries in inspite of loop within loop , wil it help in
 increasing processing time ??
2. There is one problem in For all entries in , it is not fetching all
 entries but it left entries having same data so is it like that only
Please dont pass any link.
Ankesh.

Hi,
SELECT ... FOR ALL ENTRIES IN <itab> WHERE <cond> ..<cond>
If you specify a field of the internal table <itab>
as an operand in a condition, you address all lines of the internal table. The comparison is then performed for each line of the internal table. For each line, the system selects the lines from the database table that satisfy the condition. The result set of the SELECT statement is the union of the individual selections for each line of the internal table. Duplicate lines are automatically eliminated from the result set. If <itab> is empty, the addition FOR ALL ENTRIES is disregarded, and all entries are read. The internal table <itab> must have a structured line type, and each field that occurs in the condition <cond> must be compatible with the column of the database with which it is compared. Do not use the operators LIKE, BETWEEN, and IN in comparisons using internal table fields. You may not use the ORDER BY clause in the same SELECT statement. You can use the option FOR ALL ENTRIES to replace nested select loops by operations on
internal tables. This can significantly improve the performance for large sets of selected data.
It is also possible to avoid nested SELECT loops by placing the selection from the outer loop in an internal table and then running the inner selection once only using the FOR ALL ENTRIES addition. This technique stems from the time before joins were allowed in the FROM clause. On the other hand, it does prevent redundant data from being transferred from the database.
Answers for your question is :
1. If I use For all entries in inspite of loop within loop , wil it help in increasing processing time ?? : It will Improve your performance.
2. There is one problem in For all entries in , it is not fetching all entries but it left entries having same data so is it like that only : True it preventsredundant data from being transferred from the database.
Hope this solves your doubt.
Plz reward if helpful.
Thanks,
Dhanashri.

For all entries or join

Hi,
please which should be used between for all entries or join????

All abap programers and most of the dba's that support abap programmers are familiar with the abap clause "for all entries". Most of the web pages I visited recently, discuss 3 major drawbacks of the "for all entries" clause:
1. duplicate rows are automatically removed
2. if the itab used in the clause is empty , all the rows in the source table will be selected .
3. performance degradation when using the clause on big tables.
In this post I'd like to shed some light on the third issue. Specifically i'll discuss the use of the "for all entries" clause as a means to join tables in the abap code instead of in db2.
Say for example you have the following abap code:
Select * from mara
For all entries in itab
Where matnr = itab-matnr.
If the actual source of the material list (represented here by itab) is actually another database table, like:
select matnr from mseg
into corresponding fields of table itab
where �.
Then you could have used one sql statement that joins both tables.
Select t1.*
From mara t1, mseg t2
Where t1.matnr = t2.matnr
And T2�..
So what are the drawbacks of using the "for all entires" instead of a join ?
At run time , in order to fulfill the "for all entries " request, the abap engine will generate several sql statements (for detailed information on this refer to note 48230). Regardless of which method the engine uses (union all, "or" or "in" predicates) If the itab is bigger then a few records, the abap engine will break the itab into parts, and rerun an sql statement several times in a loop. This rerun of the same sql statement , each time with different host values, is a source of resource waste because it may lead to re-reading of data pages.
returing to the above example , lets say that our itab contains 500 records and that the abap engine will be forced to run the following sql statement 50 times with a list of 10 values each time.
Select * from mara
Where matnr in ( ...)
Db2 will be able to perform this sql statement cheaply all 50 times, using one of sap standard indexes that contain the matnr column. But in actuality, if you consider the wider picture (all 50 executions of the statement), you will see that some of the data pages, especially the root and middle-tire index pages have been re-read each execution.
Even though db2 has mechanisms like buffer pools and sequential detection to try to minimize the i/o cost of such cases, those mechanisms can only minimize the actual i/o operations , not the cpu cost of re-reading them once they are in memory. Had you coded the join, db2 would have known that you actually need 500 rows from mara, it would have been able to use other access methods, and potentially consume less getpages i/o and cpu.
In other words , when you use the "for all entries " clause instead of coding a join , you are depriving the database of important information needed to select the best access path for your application. Moreover, you are depriving your DBA of the same vital information. When the DBA monitors & tunes the system, he (or she) is less likely to recognize this kind of resource waste. The DBA will see a simple statement that uses an index , he is less likely to realize that this statement is executed in a loop unnecessarily.
In conclusion I suggest to "think twice" before using the "for all entries" clause and to evaluate the use of database views as a means to:
a. simplify sql
b. simplify abap code
c. get around open sql limitations.

Hi guru's what is the diff between for all entries & joins

hi guru's what is the diff between for all entries & joins

Hi Vasu,
Joins are used to fetch data fast from Database tables:
Tables are joined with the proper key fields to fetch the data properly.
If there are no proper key fields between tables don't use Joins;
Important thing is that don't USE JOINS FOR CLUSTER tableslike BSEG and KONV.
Only use for Transparenmt tables.
You can also use joins for the database VIews to fetch the data.
JOINS
... FROM tabref1 [INNER] JOIN tabref2 ON cond
Effect
The data is to be selected from transparent database tables and/or views determined by tabref1 and tabref2. tabref1 and tabref2 each have the same form as in variant 1 or are themselves Join expressions. The keyword INNER does not have to be specified. The database tables or views determined by tabref1 and tabref2 must be recognized by the ABAP Dictionary.
In a relational data structure, it is quite normal for data that belongs together to be split up across several tables to help the process of standardization (see relational databases). To regroup this information into a database query, you can link tables using the join command. This formulates conditions for the columns in the tables involved. The inner join contains all combinations of lines from the database table determined by tabref1 with lines from the table determined by tabref2, whose values together meet the logical condition (join condition) specified using ON>cond.
Inner join between table 1 and table 2, where column D in both tables in the join condition is set the same:
Table 1 Table 2
A
B
C
D
D
E
F
G
H
a1
b1
c1
1
1
e1
f1
g1
h1
a2
b2
c2
1
3
e2
f2
g2
h2
a3
b3
c3
2
4
e3
f3
g3
h3
a4
b4
c4
3
|--|||--|
Inner Join
A
B
C
D
D
E
F
G
H
a1
b1
c1
1
1
e1
f1
g1
h1
a2
b2
c2
1
1
e1
f1
g1
h1
a4
b4
c4
3
3
e2
f2
g2
h2
|--||||||||--|
Example
Output a list of all flights from Frankfurt to New York between September 10th and 20th, 2001 that are not sold out:
DATA: DATE LIKE SFLIGHT-FLDATE,
CARRID LIKE SFLIGHT-CARRID,
CONNID LIKE SFLIGHT-CONNID.
SELECT FCARRID FCONNID F~FLDATE
INTO (CARRID, CONNID, DATE)
FROM SFLIGHT AS F INNER JOIN SPFLI AS P
ON FCARRID = PCARRID AND
FCONNID = PCONNID
WHERE P~CITYFROM = 'FRANKFURT'
AND P~CITYTO = 'NEW YORK'
AND F~FLDATE BETWEEN '20010910' AND '20010920'
AND FSEATSOCC < FSEATSMAX.
WRITE: / DATE, CARRID, CONNID.
ENDSELECT.
If there are columns with the same name in both tables, you must distinguish between them by prefixing the field descriptor with the table name or a table alias.
Note
In order to determine the result of a SELECT command where the FROM clause contains a join, the database system first creates a temporary table containing the lines that meet the ON condition. The WHERE condition is then applied to the temporary table. It does not matter in an inner join whether the condition is in the ON or WHEREclause. The following example returns the same solution as the previous one.
Example
Output of a list of all flights from Frankfurt to New York between September 10th and 20th, 2001 that are not sold out:
DATA: DATE LIKE SFLIGHT-FLDATE,
CARRID LIKE SFLIGHT-CARRID,
CONNID LIKE SFLIGHT-CONNID.
SELECT FCARRID FCONNID F~FLDATE
INTO (CARRID, CONNID, DATE)
FROM SFLIGHT AS F INNER JOIN SPFLI AS P
ON FCARRID = PCARRID
WHERE FCONNID = PCONNID
AND P~CITYFROM = 'FRANKFURT'
AND P~CITYTO = 'NEW YORK'
AND F~FLDATE BETWEEN '20010910' AND '20010920'
AND FSEATSOCC < FSEATSMAX.
WRITE: / DATE, CARRID, CONNID.
ENDSELECT.
Note
Since not all of the database systems supported by SAP use the standard syntax for ON conditions, the syntax has been restricted. It only allows those joins that produce the same results on all of the supported database systems:
Only a table or view may appear to the right of the JOIN operator, not another join expression.
Only AND is possible in the ON condition as a logical operator.
Each comparison in the ON condition must contain a field from the right-hand table.
If an outer join occurs in the FROM clause, all the ON conditions must contain at least one "real" JOIN condition (a condition that contains a field from tabref1 amd a field from tabref2.
Note
In some cases, '*' may be specified in the SELECT clause, and an internal table or work area is entered into the INTO clause (instead of a list of fields). If so, the fields are written to the target area from left to right in the order in which the tables appear in the FROM clause, according to the structure of each table work area. There can then be gaps between table work areas if you use an Alignment Request. For this reason, you should define the target work area with reference to the types of the database tables, not simply by counting the total number of fields. For an example, see below:
Variant 3
... FROM tabref1 LEFT [OUTER] JOIN tabref2 ON cond
Effect
Selects the data from the transparent database tables and/or views specified in tabref1 and tabref2. tabref1 und tabref2 both have either the same form as in variant 1 or are themselves join expressions. The keyword OUTER can be omitted. The database tables or views specified in tabref1 and tabref2 must be recognized by the ABAP-Dictionary.
In order to determine the result of a SELECT command where the FROM clause contains a left outer join, the database system creates a temporary table containing the lines that meet the ON condition. The remaining fields from the left-hand table (tabref1) are then added to this table, and their corresponding fields from the right-hand table are filled with ZERO values. The system then applies the WHERE condition to the table.
Left outer join between table 1 and table 2 where column D in both tables set the join condition:
Table 1 Table 2
A
B
C
D
D
E
F
G
H
a1
b1
c1
1
1
e1
f1
g1
h1
a2
b2
c2
1
3
e2
f2
g2
h2
a3
b3
c3
2
4
e3
f3
g3
h3
a4
b4
c4
3
|--|||--|
Left Outer Join
A
B
C
D
D
E
F
G
H
a1
b1
c1
1
1
e1
f1
g1
h1
a2
b2
c2
1
1
e1
f1
g1
h1
a3
b3
c3
2
NULL
NULL
NULL
NULL
NULL
a4
b4
c4
3
3
e2
f2
g2
h2
|--||||||||--|
Example
Output a list of all custimers with their bookings for October 15th, 2001:
DATA: CUSTOMER TYPE SCUSTOM,
BOOKING TYPE SBOOK.
SELECT SCUSTOMNAME SCUSTOMPOSTCODE SCUSTOM~CITY
SBOOKFLDATE SBOOKCARRID SBOOKCONNID SBOOKBOOKID
INTO (CUSTOMER-NAME, CUSTOMER-POSTCODE, CUSTOMER-CITY,
BOOKING-FLDATE, BOOKING-CARRID, BOOKING-CONNID,
BOOKING-BOOKID)
FROM SCUSTOM LEFT OUTER JOIN SBOOK
ON SCUSTOMID = SBOOKCUSTOMID AND
SBOOK~FLDATE = '20011015'
ORDER BY SCUSTOMNAME SBOOKFLDATE.
WRITE: / CUSTOMER-NAME, CUSTOMER-POSTCODE, CUSTOMER-CITY,
BOOKING-FLDATE, BOOKING-CARRID, BOOKING-CONNID,
BOOKING-BOOKID.
ENDSELECT.
If there are columns with the same name in both tables, you must distinguish between them by prefixing the field descriptor with the table name or using an alias.
Note
For the resulting set of a SELECT command with a left outer join in the FROM clause, it is generally of crucial importance whether a logical condition is in the ON or WHERE condition. Since not all of the database systems supported by SAP themselves support the standard syntax and semantics of the left outer join, the syntax has been restricted to those cases that return the same solution in all database systems:
Only a table or view may come after the JOIN operator, not another join statement.
The only logical operator allowed in the ON condition is AND.
Each comparison in the ON condition must contain a field from the right-hand table.
Comparisons in the WHERE condition must not contain a field from the right-hand table.
The ON condition must contain at least one "real" JOIN condition (a condition in which a field from tabref1 as well as from tabref2 occurs).
Note
In some cases, '*' may be specivied as the field list in the SELECT clause, and an internal table or work area is entered in the INTO clause (instead of a list of fields). If so, the fields are written to the target area from left to right in the order in which the tables appear in the llen in der FROM clause, according to the structure of each table work area. There can be gaps between the table work areas if you use an Alignment Request. For this reason, you should define the target work area with reference to the types of the database tables, as in the following example (not simply by counting the total number of fields).
Example
Example of a JOIN with more than two tables: Select all flights from Frankfurt to New York between September 10th and 20th, 2001 where there are available places, and display the name of the airline.
DATA: BEGIN OF WA,
FLIGHT TYPE SFLIGHT,
PFLI TYPE SPFLI,
CARR TYPE SCARR,
END OF WA.
SELECT * INTO WA
FROM ( SFLIGHT AS F INNER JOIN SPFLI AS P
ON FCARRID = PCARRID AND
FCONNID = PCONNID )
INNER JOIN SCARR AS C
ON FCARRID = CCARRID
WHERE P~CITYFROM = 'FRANKFURT'
AND P~CITYTO = 'NEW YORK'
AND F~FLDATE BETWEEN '20010910' AND '20010920'
AND FSEATSOCC < FSEATSMAX.
WRITE: / WA-CARR-CARRNAME, WA-FLIGHT-FLDATE, WA-FLIGHT-CARRID,
WA-FLIGHT-CONNID.
ENDSELECT.
And for all entries,
this will help u.
use of FOR ALL ENTRIES:
1. INNER JOIN
DBTAB1 <----
> DBTAB2
It is used to JOIN two DATABASE tables
having some COMMON fields.
2. Whereas
For All Entries,
DBTAB1 <----
> ITAB1
is not at all related to two DATABASE tables.
It is related to INTERNAL table.
3. If we want to fetch data
from some DBTABLE1
but we want to fetch
for only some records
which are contained in some internal table,
then we use for alll entries.
1. simple example of for all entries.
2. NOTE THAT
In for all entries,
it is NOT necessary to use TWO DBTABLES.
(as against JOIN)
3. use this program (just copy paste)
it will fetch data
from T001
FOR ONLY TWO COMPANIES (as mentioned in itab)
4
REPORT abc.
DATA : BEGIN OF itab OCCURS 0,
bukrs LIKE t001-bukrs,
END OF itab.
DATA : t001 LIKE TABLE OF t001 WITH HEADER LINE.
itab-bukrs = '1000'.
APPEND itab.
itab-bukrs = '1100'.
APPEND itab.
SELECT * FROM t001
INTO TABLE t001
FOR ALL ENTRIES IN itab
WHERE bukrs = itab-bukrs.
LOOP AT t001.
WRITE :/ t001-bukrs.
ENDLOOP.
cheers,
Hema.

CAN USE SELECT OPTION FIELD IN FOR ALL ENTRIES CONCEPT

Hi sir/ madam,
can i write code like this .
i have data in itab1 .
select-options : s_matnr like lips-matnr.
SELECT VBELN VGBEL VGPOS MATNR
    FROM LIPS
    INTO TABLE I_LIPS
    FOR ALL ENTRIES IN ITAB1
    WHERE VBELN = ITAB1-VBELN AND
          MATNR = S_MATNR.
Thanks & Regards
Suresh kumar

Hi Suresh,
To correct ur code syntactically, repacle the
=
operator with
IN
. This may be correct but from data consistency point of view this may not be the ideal thing to do.
You can foolow thw following steps:
1. Fetch data in ITAB1 using the MATNR in the select-option. I hope you do have
MATNR in ITAB1.
2.
SELECT VBELN VGBEL VGPOS MATNR
FROM LIPS
INTO TABLE I_LIPS
FOR ALL ENTRIES IN ITAB1
WHERE VBELN = ITAB1-VBELN AND
MATNR = ITAB1-MATNR.
This should be correct form data consistency view-point.
Hope this answers ur query. Please award points if u find the answer helpful.
Regards,
Suhas

Doubt regarding FOR ALL ENTRIES and INDEXES

Hi iam Aslam ..
and i have a doubt ..regrding .. .
1) what are the disadvs of using FOR ALL ENTRIES
2) what are the disadvs of using INDEXES
3) what is the disadvs of using Binary search ..
4) . how can u do performance tuning ...if u have more than one SELECT statements between ... Loop and Endloop .......
please answer to these questions or reply me to [email protected] ..
thanks in advance ..
bye

HI
1) what are the disadvs of using FOR ALL ENTRIES
if there is no data available for you condition mentioned in the where condition then it will retrive all the data from the database table , which we don't want , but we can solve that easily
Ways of Performance Tuning
1. Selection Criteria
2. Select Statements
 Select Queries
 SQL Interface
 Aggregate Functions
 For all Entries
Select Over more than one Internal table
Selection Criteria
1. Restrict the data to the selection criteria itself, rather than filtering it out using the ABAP code using CHECK statement.
2. Select with selection list.
Points # 1/2
SELECT * FROM SBOOK INTO SBOOK_WA.
CHECK: SBOOK_WA-CARRID = 'LH' AND
 SBOOK_WA-CONNID = '0400'.
ENDSELECT.
The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list
SELECT CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
WHERE SBOOK_WA-CARRID = 'LH' AND
 SBOOK_WA-CONNID = '0400'.
Select Statements Select Queries
1. Avoid nested selects
2. Select all the records in a single shot using into table clause of select statement rather than to use Append statements.
3. When a base table has multiple indices, the where clause should be in the order of the index, either a primary or a secondary index.
4. For testing existence , use Select.. Up to 1 rows statement instead of a Select-Endselect-loop with an Exit.
5. Use Select Single if all primary key fields are supplied in the Where condition .
Point # 1
SELECT * FROM EKKO INTO EKKO_WA.
SELECT * FROM EKAN INTO EKAN_WA
 WHERE EBELN = EKKO_WA-EBELN.
ENDSELECT.
ENDSELECT.
The above code can be much more optimized by the code written below.
SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
 FROM EKKO AS P INNER JOIN EKAN AS F
 ON PEBELN = FEBELN.
Note: A simple SELECT loop is a single database access whose result is passed to the ABAP program line by line. Nested SELECT loops mean that the number of accesses in the inner loop is multiplied by the number of accesses in the outer loop. One should therefore use nested SELECT loops only if the selection in the outer loop contains very few lines or the outer loop is a SELECT SINGLE statement.
Point # 2
SELECT * FROM SBOOK INTO SBOOK_WA.
CHECK: SBOOK_WA-CARRID = 'LH' AND
 SBOOK_WA-CONNID = '0400'.
ENDSELECT.
The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list and puts the data in one shot using into table
SELECT CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
WHERE SBOOK_WA-CARRID = 'LH' AND
 SBOOK_WA-CONNID = '0400'.
Point # 3
To choose an index, the optimizer checks the field names specified in the where clause and then uses an index that has the same order of the fields . In certain scenarios, it is advisable to check whether a new index can speed up the performance of a program. This will come handy in programs that access data from the finance tables.
Point # 4
SELECT * FROM SBOOK INTO SBOOK_WA
UP TO 1 ROWS
WHERE CARRID = 'LH'.
ENDSELECT.
The above code is more optimized as compared to the code mentioned below for testing existence of a record.
SELECT * FROM SBOOK INTO SBOOK_WA
 WHERE CARRID = 'LH'.
EXIT.
ENDSELECT.
Point # 5
If all primary key fields are supplied in the Where condition you can even use Select Single.
Select Single requires one communication with the database system, whereas Select-Endselect needs two.
Select Statements contd.. SQL Interface
1. Use column updates instead of single-row updates
to update your database tables.
2. For all frequently used Select statements, try to use an index.
3. Using buffered tables improves the performance considerably.
Point # 1
SELECT * FROM SFLIGHT INTO SFLIGHT_WA.
SFLIGHT_WA-SEATSOCC =
 SFLIGHT_WA-SEATSOCC - 1.
UPDATE SFLIGHT FROM SFLIGHT_WA.
ENDSELECT.
The above mentioned code can be more optimized by using the following code
UPDATE SFLIGHT
 SET SEATSOCC = SEATSOCC - 1.
Point # 2
SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
WHERE CARRID = 'LH'
 AND CONNID = '0400'.
ENDSELECT.
The above mentioned code can be more optimized by using the following code
SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
WHERE MANDT IN ( SELECT MANDT FROM T000 )
 AND CARRID = 'LH'
 AND CONNID = '0400'.
ENDSELECT.
Point # 3
Bypassing the buffer increases the network considerably
SELECT SINGLE * FROM T100 INTO T100_WA
BYPASSING BUFFER
WHERE SPRSL = 'D'
 AND ARBGB = '00'
 AND MSGNR = '999'.
The above mentioned code can be more optimized by using the following code
SELECT SINGLE * FROM T100 INTO T100_WA
WHERE SPRSL = 'D'
 AND ARBGB = '00'
 AND MSGNR = '999'.
Select Statements contd Aggregate Functions
 If you want to find the maximum, minimum, sum and average value or the count of a database column, use a select list with aggregate functions instead of computing the aggregates yourself.
Some of the Aggregate functions allowed in SAP are MAX, MIN, AVG, SUM, COUNT, COUNT( * )
Consider the following extract.
 Maxno = 0.
 Select * from zflight where airln = LF and cntry = IN.
 Check zflight-fligh > maxno.
 Maxno = zflight-fligh.
 Endselect.
The above mentioned code can be much more optimized by using the following code.
Select max( fligh ) from zflight into maxno where airln = LF and cntry = IN.
Select Statements contdFor All Entries
 The for all entries creates a where clause, where all the entries in the driver table are combined with OR. If the number of entries in the driver table is larger than rsdb/max_blocking_factor, several similar SQL statements are executed to limit the length of the WHERE clause.
 The plus
 Large amount of data
 Mixing processing and reading of data
 Fast internal reprocessing of data
 Fast
 The Minus
 Difficult to program/understand
 Memory could be critical (use FREE or PACKAGE size)
Points to be must considered FOR ALL ENTRIES
 Check that data is present in the driver table
 Sorting the driver table
 Removing duplicates from the driver table
Consider the following piece of extract
Loop at int_cntry.
 Select single * from zfligh into int_fligh
where cntry = int_cntry-cntry.
Append int_fligh.
Endloop.
The above mentioned can be more optimized by using the following code.
Sort int_cntry by cntry.
Delete adjacent duplicates from int_cntry.
If NOT int_cntry[] is INITIAL.
 Select * from zfligh appending table int_fligh
 For all entries in int_cntry
 Where cntry = int_cntry-cntry.
Endif.
Select Statements contd Select Over more than one Internal table
1. Its better to use a views instead of nested Select statements.
2. To read data from several logically connected tables use a join instead of nested Select statements. Joins are preferred only if all the primary key are available in WHERE clause for the tables that are joined. If the primary keys are not provided in join the Joining of tables itself takes time.
3. Instead of using nested Select loops it is often better to use subqueries.
Point # 1
SELECT * FROM DD01L INTO DD01L_WA
WHERE DOMNAME LIKE 'CHAR%'
 AND AS4LOCAL = 'A'.
SELECT SINGLE * FROM DD01T INTO DD01T_WA
 WHERE DOMNAME = DD01L_WA-DOMNAME
 AND AS4LOCAL = 'A'
 AND AS4VERS = DD01L_WA-AS4VERS
 AND DDLANGUAGE = SY-LANGU.
ENDSELECT.
The above code can be more optimized by extracting all the data from view DD01V_WA
SELECT * FROM DD01V INTO DD01V_WA
WHERE DOMNAME LIKE 'CHAR%'
 AND DDLANGUAGE = SY-LANGU.
ENDSELECT
Point # 2
SELECT * FROM EKKO INTO EKKO_WA.
SELECT * FROM EKAN INTO EKAN_WA
 WHERE EBELN = EKKO_WA-EBELN.
ENDSELECT.
ENDSELECT.
The above code can be much more optimized by the code written below.
SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
 FROM EKKO AS P INNER JOIN EKAN AS F
 ON PEBELN = FEBELN.
Point # 3
SELECT * FROM SPFLI
INTO TABLE T_SPFLI
WHERE CITYFROM = 'FRANKFURT'
 AND CITYTO = 'NEW YORK'.
SELECT * FROM SFLIGHT AS F
 INTO SFLIGHT_WA
 FOR ALL ENTRIES IN T_SPFLI
 WHERE SEATSOCC < F~SEATSMAX
 AND CARRID = T_SPFLI-CARRID
 AND CONNID = T_SPFLI-CONNID
 AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
The above mentioned code can be even more optimized by using subqueries instead of for all entries.
SELECT * FROM SFLIGHT AS F INTO SFLIGHT_WA
 WHERE SEATSOCC < F~SEATSMAX
 AND EXISTS ( SELECT * FROM SPFLI
 WHERE CARRID = F~CARRID
 AND CONNID = F~CONNID
 AND CITYFROM = 'FRANKFURT'
 AND CITYTO = 'NEW YORK' )
 AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
1. Table operations should be done using explicit work areas rather than via header lines.
2. Always try to use binary search instead of linear search. But dont forget to sort your internal table before that.
3. A dynamic key access is slower than a static one, since the key specification must be evaluated at runtime.
4. A binary search using secondary index takes considerably less time.
5. LOOP ... WHERE is faster than LOOP/CHECK because LOOP ... WHERE evaluates the specified condition internally.
6. Modifying selected components using MODIFY itab TRANSPORTING f1 f2.. accelerates the task of updating a line of an internal table.
Point # 2
READ TABLE ITAB INTO WA WITH KEY K = 'X BINARY SEARCH.
IS MUCH FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY K = 'X'.
If TAB has n entries, linear search runs in O( n ) time, whereas binary search takes only O( log2( n ) ).
Point # 3
READ TABLE ITAB INTO WA WITH KEY K = 'X'. IS FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY (NAME) = 'X'.
Point # 5
LOOP AT ITAB INTO WA WHERE K = 'X'.
ENDLOOP.
The above code is much faster than using
LOOP AT ITAB INTO WA.
CHECK WA-K = 'X'.
ENDLOOP.
Point # 6
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1 TRANSPORTING DATE.
The above code is more optimized as compared to
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1.
7. Accessing the table entries directly in a "LOOP ... ASSIGNING ..." accelerates the task of updating a set of lines of an internal table considerably
8. If collect semantics is required, it is always better to use to COLLECT rather than READ BINARY and then ADD.
9. "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to LOOP-APPEND-ENDLOOP.
10. DELETE ADJACENT DUPLICATES accelerates the task of deleting duplicate entries considerably as compared to READ-LOOP-DELETE-ENDLOOP.
11. "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to DO -DELETE-ENDDO.
Point # 7
Modifying selected components only makes the program faster as compared to Modifying all lines completely.
e.g,
LOOP AT ITAB ASSIGNING <WA>.
I = SY-TABIX MOD 2.
IF I = 0.
 <WA>-FLAG = 'X'.
ENDIF.
ENDLOOP.
The above code works faster as compared to
LOOP AT ITAB INTO WA.
I = SY-TABIX MOD 2.
IF I = 0.
 WA-FLAG = 'X'.
 MODIFY ITAB FROM WA.
ENDIF.
ENDLOOP.
Point # 8
LOOP AT ITAB1 INTO WA1.
READ TABLE ITAB2 INTO WA2 WITH KEY K = WA1-K BINARY SEARCH.
IF SY-SUBRC = 0.
 ADD: WA1-VAL1 TO WA2-VAL1,
 WA1-VAL2 TO WA2-VAL2.
 MODIFY ITAB2 FROM WA2 INDEX SY-TABIX TRANSPORTING VAL1 VAL2.
ELSE.
 INSERT WA1 INTO ITAB2 INDEX SY-TABIX.
ENDIF.
ENDLOOP.
The above code uses BINARY SEARCH for collect semantics. READ BINARY runs in O( log2(n) ) time. The above piece of code can be more optimized by
LOOP AT ITAB1 INTO WA.
COLLECT WA INTO ITAB2.
ENDLOOP.
SORT ITAB2 BY K.
COLLECT, however, uses a hash algorithm and is therefore independent
of the number of entries (i.e. O(1)) .
Point # 9
APPEND LINES OF ITAB1 TO ITAB2.
This is more optimized as compared to
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 10
DELETE ADJACENT DUPLICATES FROM ITAB COMPARING K.
This is much more optimized as compared to
READ TABLE ITAB INDEX 1 INTO PREV_LINE.
LOOP AT ITAB FROM 2 INTO WA.
IF WA = PREV_LINE.
 DELETE ITAB.
ELSE.
 PREV_LINE = WA.
ENDIF.
ENDLOOP.
Point # 11
DELETE ITAB FROM 450 TO 550.
This is much more optimized as compared to
DO 101 TIMES.
DELETE ITAB INDEX 450.
ENDDO.
12. Copying internal tables by using ITAB2[ ] = ITAB1[ ] as compared to LOOP-APPEND-ENDLOOP.
13. Specify the sort key as restrictively as possible to run the program faster.
Point # 12
ITAB2[] = ITAB1[].
This is much more optimized as compared to
REFRESH ITAB2.
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 13
SORT ITAB BY K. makes the program runs faster as compared to SORT ITAB.
Internal Tables contd
Hashed and Sorted tables
1. For single read access hashed tables are more optimized as compared to sorted tables.
2. For partial sequential access sorted tables are more optimized as compared to hashed tables
Hashed And Sorted Tables
Point # 1
Consider the following example where HTAB is a hashed table and STAB is a sorted table
DO 250 TIMES.
N = 4 * SY-INDEX.
READ TABLE HTAB INTO WA WITH TABLE KEY K = N.
IF SY-SUBRC = 0.
ENDIF.
ENDDO.
This runs faster for single read access as compared to the following same code for sorted table
DO 250 TIMES.
N = 4 * SY-INDEX.
READ TABLE STAB INTO WA WITH TABLE KEY K = N.
IF SY-SUBRC = 0.
ENDIF.
ENDDO.
Point # 2
Similarly for Partial Sequential access the STAB runs faster as compared to HTAB
LOOP AT STAB INTO WA WHERE K = SUBKEY.
ENDLOOP.
This runs faster as compared to
LOOP AT HTAB INTO WA WHERE K = SUBKEY.
ENDLOOP.

Unable to Get the Data Using For All Entries

Hi everybody, i am using for all entries in a program. but when i am writing a code using for all entries i am getting an error as
Where condition does not refers to the FOR ALL ENTRIES tables...
SELECT KUNNR
       NAME1
       ORT01
       LAND1
   FROM KNA1 INTO TABLE ITAB1 WHERE KUNNR IN S_KUNNR.
IF NOT ITAB1 IS INITIAL.
SELECT VBELN
        ERDAT
        KUNNR
   FROM VBAK INTO TABLE ITAB2 FOR ALL ENTRIES IN ITAB1 WHERE KUNNR = IT_KNA1-KUNNR.
ENDIF.
can anybody help out in this
regards
hyder ali

The correct one may be like this:
SELECT KUNNR
NAME1
ORT01
LAND1
FROM KNA1 INTO TABLE ITAB1 WHERE KUNNR IN S_KUNNR.
IF NOT ITAB1 IS INITIAL.
SELECT VBELN
ERDAT
KUNNR
FROM VBAK INTO TABLE ITAB2 FOR ALL ENTRIES IN ITAB1 WHERE KUNNR = ITAB1-KUNNR. "modified here
ENDIF.
Edited by: XuJian84 on Mar 9, 2010 4:25 AM

What is the usage of for all entries ?

What is the Usage of read table after using for all entries ?
In the following example what exactly it is doing ?
Usage of 'for all entries' in Select Statement
FORM data_retrieval.
DATA: ld_color(1) TYPE c.
DATA: BEGIN OF T_VBAP OCCURS 0,
        VBELN LIKE VBAP-VBELN,
        MATNR LIKE VBAP-MATNR,
        POSNR LIKE VBAP-POSNR,
        END OF T_VBAP.
DATA: BEGIN OF T_VBFA OCCURS 0,
        VBELV LIKE VBFA-VBELV,
        VBELN LIKE VBFA-VBELN,
        VBTYP_N LIKE VBFA-VBTYP_N,
        END OF T_VBFA.
DATA: BEGIN OF T_VBAK OCCURS 0,
        VBELN LIKE VBAK-VBELN,
        IHREZ LIKE VBAK-IHREZ,
        END OF T_VBAK.
DATA: BEGIN OF T_KNA1 OCCURS 0,
        KUNNR LIKE KNA1-KUNNR,
        NAME1 LIKE KNA1-NAME1,
        END OF T_KNA1.
   DATA: BEGIN OF T_MAKT OCCURS 0,
        MATNR LIKE MAKT-MATNR,
        MAKTX LIKE MAKT-MAKTX,
        END OF T_MAKT.
SELECT likpvbeln likplifex likpbldat likpwadat likpwadat_ist likpkodat likp~lfart
         likpkunnr likpvstel lipsposnv lipslfimg lipsvrkme lipslgmng lips~meins
         lipswerks lipslgort lipscharg lipsvbelv lipsposnr lipsmatnr
         lipsvbeln LIPSVGBEL LIPSVGPOS vbupkosta vbupwbsta vbupposnr vbup~vbeln
          VBAKIHREZ VBAKVBELN VBAP~VBELN
     INTO CORRESPONDING FIELDS OF TABLE it_itab
    FROM ( likp
           INNER JOIN lips
           ON lipsvbeln = likpvbeln
           INNER JOIN vbup
           ON vbupposnr = lipsposnr
           and VBUPVBELN = LIPSVBELN )
          left outer join VBAK
          on VBAKVBELN = LIPSVGBEL
          inner join VBAP
          on VBAPVBELN = VBAKVBELN )
         WHERE likp~vbeln IN so_vbeln
           AND likp~lifex IN so_lifex
           AND likp~lfart IN so_lfart
           AND likp~kunnr IN so_kunnr
           AND likp~vstel IN so_vstel
           AND likp~bldat IN so_bldat
           AND likp~wadat_ist IN so_wadat
           AND vbup~kosta IN so_kosta
           AND vbup~wbsta IN so_wbsta
           AND LIPS~LFIMG NE 0.
SELECT VBELN IHREZ INTO TABLE T_VBAK
FROM VBAK
FOR ALL ENTRIES IN IT_ITAB
WHERE VBELN = IT_ITAB-VGBEL.
APPEND T_VBAK.
ENDSELECT.
SELECT VBELN MATNR POSNR INTO TABLE T_VBAP
FROM VBAP
FOR ALL ENTRIES IN IT_ITAB
WHERE VBELN = IT_ITAB-VGBEL AND
        MATNR = IT_ITAB-MATNR AND
        POSNR = IT_ITAB-VGPOS.
APPEND T_VBAP.
ENDSELECT.
SELECT VBELV VBELN VBTYP_N INTO TABLE T_VBFA
FROM VBFA
FOR ALL ENTRIES IN IT_ITAB
WHERE VBELV = IT_ITAB-VBELN AND
        VBTYP_N = 'M' .
SELECT KUNNR NAME1 INTO TABLE T_KNA1
FROM KNA1
FOR ALL ENTRIES IN IT_ITAB
WHERE KUNNR = IT_ITAB-KUNNR.
APPEND T_KNA1.
ENDSELECT.
SELECT MATNR MAKTX INTO TABLE T_MAKT
FROM MAKT
FOR ALL ENTRIES IN IT_ITAB
WHERE MATNR = IT_ITAB-MATNR.
APPEND T_MAKT.
ENDSELECT.
*Populate field with color attributes
LOOP AT it_itab INTO wa_ITAB.
Populate color variable with colour properties
Char 1 = C (This is a color property)
Char 2 = 3 (Color codes: 1 - 7)
Char 3 = Intensified on/off ( 1 or 0 )
Char 4 = Inverse display on/off ( 1 or 0 )
i.e. wa_ekko-line_color = 'C410'
    REFRESH color.
    colourize 'VBELN' 0. " .
    WA_ITAB-farbe = color[].
    ld_color = ld_color + 1.
Only 7 colours so need to reset color value
    IF ld_color = 3. "8
      ld_color = 1.
    ENDIF.
    CONCATENATE 'C' ld_color '10' INTO wa_ITAB-line_color.
    WA_ITAB-NAME1 = ''.
    WA_ITAB-MAKTX = ''.
    WA_ITAB-IHREZ = ''.
    WA_ITAB-VBELV = ''.
    READ TABLE T_KNA1 WITH KEY KUNNR = WA_ITAB-KUNNR.
    IF SY-SUBRC = 0.
       WA_ITAB-NAME1 = T_KNA1-NAME1.
    ENDIF.
    READ TABLE T_MAKT WITH KEY MATNR = WA_ITAB-MATNR.
    IF SY-SUBRC = 0.
    WA_ITAB-MAKTX = T_MAKT-MAKTX.
    ENDIF.
    READ TABLE T_VBAK WITH KEY VBELN = WA_ITAB-VGBEL.
    IF SY-SUBRC = 0.
    WA_ITAB-IHREZ = T_VBAK-IHREZ.
    ENDIF.
    READ TABLE T_VBFA WITH KEY VBELV = WA_ITAB-VBELN.
    IF SY-SUBRC = 0.
    WA_ITAB-VBELVA = T_VBFA-VBELN.
    ENDIF.
   READ TABLE T_VBAP WITH KEY VBELN = WA_ITAB-VGBEL
                              POSNR = WA_ITAB-VGPOS
                              MATNR = WA_ITAB-MATNR.
   IF SY-SUBRC = 0.
   WA_ITAB-IHREZ = T_VBAK-IHREZ.
   ENDIF.
wa_ekko-line_color = 'C410'.
    MODIFY it_itab FROM wa_itab.
ENDLOOP.
ENDFORM. " data_retrieval

hi Jyotirmoy,
The explanation below can give u an idea of wat is going in ur code..
Use of FOR ALL Entries
Outer join can be created using this addition to the where clause in a select statement. It speeds up the performance tremendously, but the cons of using this variation are listed below
Duplicates are automatically removed from the resulting data set. Hence care should be taken that the unique key of the detail line items should be given in the select statement.
If the table on which the For All Entries IN clause is based is empty, all rows are selected into the destination table. Hence it is advisable to check before-hand that the first table is not empty.
If the table on which the For All Entries IN clause is based is very large, the performance will go down instead of improving. Hence attempt should be made to keep the table size to a moderate level.
Not Recommended
            Loop at int_cntry.
             Select single * from zfligh into int_fligh
             where cntry = int_cntry-cntry.
             Append int_fligh.
            Endloop.
Recommended
            Select * from zfligh appending table int_fligh
            For all entries in int_cntry
            Where cntry = int_cntry-cntry.
Thankyou,
Regards.

Like operator in for all entries

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