[mysql] Select from multiple tables without a join?

What is the easiest way to select data from two tables and rather than join them, have them appear as separate rows. Both tables have similar or matching fields and I want to run some aggregate function on them such as avg all the rows that occurred in the same month, from both tables.

for example I have two tables, one that is shows transactions from one system and another with transactions from a different system. Is there a way to grab all the transactions from both tables as separate rows? if table 1 had twenty records and table 2 have thirty records, I'd like there to be 50 rows on the return.

The UNION ALL operator may be what you are looking for.

With this operator, you can concatenate the resultsets from multiple queries together, preserving all of the rows from each. Note that a UNION operator (without the ALL keyword) will eliminate any "duplicate" rows which exist in the resultset. The UNION ALL operator preserves all of the rows from each query (and will likely perform better since it doesn't have the overhead of performing the duplicate check and removal operation).

The number of columns and data type of each column must match in each of the queries. If one of the queries has more columns than the other, we sometimes include dummy expressions in the other query to make the columns and datatypes "match". Often, it's helpful to include an expression (an extra column) in the SELECT list of each query that returns a literal, to reveal which of the queries was the "source" of the row.

SELECT 'q1' AS source, a, b, c, d FROM t1 WHERE ...
UNION ALL
SELECT 'q2', t2.fee, t2.fi, t2.fo, 'fum' FROM t2 JOIN t3 ON ...
UNION ALL
SELECT 'q3', '1', '2', buckle, my_shoe FROM t4

You can wrap a query like this in a set of parenthesis, and use it as an inline view (or "derived table", in MySQL lingo), so that you can perform aggregate operations on all of the rows.

SELECT t.a
     , SUM(t.b)
     , AVG(t.c)
  FROM (
         SELECT 'q1' AS source, a, b, c, d FROM t1
          UNION ALL
         SELECT 'q2', t2.fee, t2.fi, t2.fo, 'fum' FROM t2
       ) t
 GROUP BY t.a
 ORDER BY t.a

In this case we are assuming that we have two tables: SMPPMsgLogand SMSService with common column serviceid:

SELECT sp.SMS,ss.CMD 
FROM vas.SMPPMsgLog AS sp,vas.SMSService AS ss 
WHERE sp.serviceid=5431 
AND ss.ServiceID = 5431 
AND Receiver ="232700000" 
AND date(TimeStamp) <='2013-08-07' 
AND date(TimeStamp) >='2013-08-06' \G;

You could try something like this:

SELECT ...
FROM (
    SELECT f1,f2,f3 FROM table1
    UNION
    SELECT f1,f2,f3 FROM table2
)
WHERE ...

You should try this

 SELECT t1.*,t2.* FROM t1,t2

select 'test', (select name from employee where id=1) as name, (select name from address where id=2) as address ;

You could try this notattion:

SELECT * from table1,table2 

More complicated one :

SELECT table1.field1,table1.field2, table2.field3,table2.field8 from table1,table2 where table1.field2 = something and table2.field3 = somethingelse

If your question was this -- Select ename, dname FROM emp, dept without using joins..

Then, I would do this...

SELECT ename, (SELECT dname 
FROM dept
WHERE dept.deptno=emp.deptno)dname
FROM EMP

Output:

ENAME      DNAME
---------- --------------
SMITH      RESEARCH
ALLEN      SALES
WARD       SALES
JONES      RESEARCH
MARTIN     SALES
BLAKE      SALES
CLARK      ACCOUNTING
SCOTT      RESEARCH
KING       ACCOUNTING
TURNER     SALES
ADAMS      RESEARCH

ENAME      DNAME
---------- --------------
JAMES      SALES
FORD       RESEARCH
MILLER     ACCOUNTING

14 rows selected.

Union will fetch data by row not column,So If your are like me who is looking for fetching column data from two different table with no relation and without join.
In my case I am fetching state name and country name by id. Instead of writing two query you can do this way.

select 
   (
   select s.state_name from state s where s.state_id=3
   ) statename,
   (
   select c.description from country c where c.id=5
   ) countryname
   from dual;   

where dual is a dummy table with single column--anything just require table to view