Select from multiple tables without join statement

Hey Gurus,
I would like to make a select from a multiple tables to check if there is any reference to my data. I would like to do it with some elegancy, but I don't know how.
Is in abap sql possible to do it only with the select statement?
Or I was also think about a solution that I should fill some data structure with all of the tables which I want to select from and then just loop that data structure and do the select seperately from all of the tables. I just need to check if it founds some results, so no need to store it. If this solution would be fine what data structure should I use?
Or can tell me what would be the best for this?
My code for select from one table, which I want to make for multiple tables:
SELECT SINGLE id_kniznice FROM zbr_t_autori INTO wa_id
       WHERE id_kniznice EQ ls_extract-zview-id_kniznice.
     IF sy-dbcnt > 0.
       MESSAGE i000(zbr_msgc_lib).
       ls_extract-flags-vim_mark = '*'.
       MODIFY extract FROM ls_extract.
ENDIF.   
Thank you for any posts.
Regards,
Robert

And there we go again...
Read this topic:
For All Entries is NOT better than INNER JOIN in most cases
And this one:
inner join vs for all entries
Also that one:
Re: LOOP AT vs INNER JOIN
JOINs are really better than for all entries in most cases. Problem is people tend to ignore basic things like using pks or indexes while making them.

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    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100324A     100324A3     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     51.9
    100324A     100324A3     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     51.9
    100324A     100324A3     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     51.9
    100324A     100324A3     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     51.9
    100324A     100324A4     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     50.8
    100324A     100324A4     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     50.8
    100324A     100324A4     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     50.8
    100324A     100324A4     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     50.8
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6The results I need it to give are this:
    100322A     100322A3     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.6
    100322A     100322A4     22-MAR-10     10     16     16     4.2     19-APR-10     28     35     50.4
    100324A     100324A3     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     51.9
    100324A     100324A4     24-MAR-10     10     9     15     5.8     21-APR-10     28     35     50.8
    100324E     100324E3     24-MAR-10     10     10     15     6     21-APR-10     28     35     50.7
    100324E     100324E4     24-MAR-10     10     10     15     6     21-APR-10     28     35     51.6
    100326B     100326B3     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     48.3
    100326B     100326B4     26-MAR-10     10     9     15     5.7     23-APR-10     28     35     49As you can see my query provides the right results, just way too many of them. I only need to have one result per cylinder id.
    I can't seem to wrap my mind around this one and if somebody could put together a proper select based on what I need that would be extremely helpful. If you need any more data to provide help just ask and I'll paste it.
    Thanks,
    dtr
    Edited by: dtr on Apr 26, 2010 11:12 AM

    dtr wrote:
    Hi,
    Here are the create table statements:
    create table conc_test
    (p_date date, job_no varchar, mix varchar, pour_no varchar, amb_t varchar, conc_t varchar, slump varchar, air varchar, density varchar, cyl_cast_time timestamp)
    create table cyl_break
    (job_no varchar, pour_no varchar, cyl_id varchar, pour_d varchar, break_d varchar, age varchar, spec_str varchar, str varchar, mix);
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    (prod_id varchar, pour_id varchar, test_id varchar);
    Great!
    Don't forget to post the INSERT statements, and the output from that data (if it is different from what you posted in your first message).
    Basically I need to pull the data I showed above out of conc_test and cyl_break, but only data that has the proper job_number which is retrieved from the prod_poured table. The prod_poured test_id for everything that has the proper prod_poured job_no So an IN-subquery, like Sudhakar and I suggested, should work.
    What was the problem when you tried them? Post the query you ran, even if you just copied and pasted it from this thread: there may have be an editing error.
    prod_poured test_id is the same thing as conc_test pour_no and cyl_break pour_noExactly! But that doesn't answer the question: Is that value unique in all the tables? If not, in which tables can it be duplicated?

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