I have 2 tables contains random msisdn which can be repeated in one another as follows: 
    Table1 | Table2
msisdn1 | msisdn3
msisdn2 | msisdn1
msisdn3 | msisdn8
msisdn5 | msisdn6
                 | msisdn2
                 | msisdn 4
and so on.
Also row may be different as well as table count/length. 
So need to check the same msisdn value in both table and save the result in another field.
 
					
				
		
you can create 2 lookup tables, one for each table. Then, you can merge them and compare for count>1
|inputlookup table1.csv | table MSIDN | outputlookup append=t table2.csv | stats count by MSIDN |where count > 1
So, if you have values more than 1, that means, that MSIDN is appearing in both the tables.
 
					
				
		
you can create 2 lookup tables, one for each table. Then, you can merge them and compare for count>1
|inputlookup table1.csv | table MSIDN | outputlookup append=t table2.csv | stats count by MSIDN |where count > 1
So, if you have values more than 1, that means, that MSIDN is appearing in both the tables.
 
					
				
		
 
		
		
		
		
		
	
			
		
		
			
					
		@mandarpim
Are you looking for this?
YOUR_TABLE1_SEARCH  [ YOUR_TABLE2_SEARCH  | return Table1 value ] 
Sample Search
| makeresults | eval _raw="
Table1  value
msisdn1 10
msisdn2 40
msisdn3 30
msisdn5 40
" | multikv | search [| makeresults | eval _raw="
Table1  value
msisdn2 40
msisdn4 80
" | multikv | return Table1 value ]
@mandarpim: Are you looking something like this:
    | makeresults | eval msd="12"
    | append [| makeresults | eval msd="13"]
    | append [| makeresults | eval msd="14"]
    | append [| makeresults | eval msd="12"]
    | fields - _time
    |join max=0 msd [ | makeresults | eval msd="10"
    | append [| makeresults | eval msd="14"]
    | append [| makeresults | eval msd="14"]
    | append [| makeresults | eval msd="14"]]
 
					
				
		
@mandarpim in the above example, is the desired result will be all the items as the arent "equal" on their perspective table location OR only msisdn 2 4 and 5?
The final result should be in separate table with a flag found or not-found.
