Matching records from two tables even when the ID of a person is null.

Question

I have a MySQL named Natural Systems which is a magazine account that it member's will both sell handmade items wherein the proceeds will go into the Natural Systems account and each member also give a weekly donation. All of the proceeds will help toward the printing of the subsequent volumes. both of the selling of handmade items and the weekly dues  happens during the same week or the same magazine volume number. I am trying to write a query that will pull both of the sales as well as the weekly dues payments weather they have paid or not.
SELECT foiid, trim(concat(name.fname,' ',name.lname)) AS no_ns, nspayamt, DATE_FORMAT(nspaydate, '%m/%d/%Y') FROM name LEFT JOIN nspay ON nspayfoiid = foiid and volume  = '27' WHERE nspayfoiid is null AND  type = 'Registered' AND city = 'richmond' AND status = 'a' group by foiid ORDER BY no_ns
This code will bring up the following names of those who did not pay weekly dues during volume 2:
Christopher Gabb
Michael banks
Timothy Hardin
However there is another table I wish to call the same Individuals who sold magazine during the same week of volume 27
SELECT trim(CONCAT(name.fname,' ',name.lname))AS Sold,
round(sum(fcnsales.salesamt)) as TOTAL_Mags_SOLD FROM name, fcnsales WHERE fcnsales.salesfoiid = name.foiid
AND fcnsales.salesvolume '27'  GROUP BY name.foiid ORDER BY TOTAL_mags_SOLD desc;
This above code produces the following results:
Sold                             TOTAL_Mags_SOLD  
Christopher Gabb        50
Michael banks             36       
Timothy Hardin           12
I would like to combine the two queries to produce the following
Sold                             TOTAL_Mags_SOLD   nspayamt
Christopher Gabb          50                                none    
Michael banks               36                                none
Timothy Hardin            12                               none
can anyone give me a direction to go to?

Answer 1

If your field1, field2, and field3 combinations in these tables are unique, you
can do a join on them.
Select t1.field4, t2.field4 , t1.field5, t2.field5
from table1 t1 inner join table2 t2 on t1.field1 =t2.field1 and t1.field2=t2.field2 AND t1.field3=t2.field3
--You can update your table1 with following code:
Merge table1 t1
using table2 t2 on
on t1.field1 =t2.field1 and t1.field2=t2.field2 AND t3.field3=t2.field3
When matched then
Update Set
t1.field4= t2.field4
,t1.field5 = t2.field5 ;