How to select from multiple tables which reside on different data stores ?

Suppose I have two data stores in one TimesTen instance:
1) Datastore A:
table1
2) Datastore B:
table2
I want to make a query like this:
select ... from table1, table2 where table1.colA = table2.colB
Can I ? If not, is there a workaround ?
BTW, because of business, we have to use two or more different datastores, so we can not put table1/table2 in the same datastore.
Thanks very much.

You can query multiple TimesTen databases, but your original question was about joining tables from two databases, which is not supported.
Using Cache Connect to Oracle to query an Oracle database is not distributed. It's still one single Oracle database you are querying. You cannot join a table in the TimesTen database with a table in the Oracle database, this is not allowed.
If you are willing to share your business requiremens, we can take a look and see what solution might work for you. Would you like to discuss this offline?
Susan

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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);
    create table prod_poured
    (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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