Comparative search for multiple fields from 2 sources

[Anonymous]

I would like help in performing the following comparative analysis and count the results.

I have two data sources, from DB1 and DB2. 

Source is Database 1
DB1_User_Name	Ticket_Create_Date	Ticket_no	DB1_Issue_type
Dave	10/11/2018	123	Outlook
Bell	10/11/2018	124	PC
Scott	12/10/2018	125	Application1
Don	21/10/2018	126	Login
Ravi	28/10/2018	127	Outlook
Tim	1/11/2018	128	Application2
Dave	5/11/2018	129	Outlook
Scott	17/11/2018	130	Application3
Bell	14/11/2018	131	Mouse
Don	11/11/2018	132	Application4

Source is Database 2
DB2_User_Name	Search_Date	Search_Session_ID	Action Type	DB2_Issue_type
Mathew	10/10/2018	345	Call	PC
Dave	10/10/2018	456	Search	Outlook
Scott	11/10/2018	567	Search	Application1
Don	20/10/2018	678	Search	Login
Paul	28/10/2018	789	Start	Mouse
Bob	1/11/2018	900	Ping	Application3
Chris	5/11/2018	1011	Call	Application3
Don	17/11/2018	1122	Search	Application4
Tim	14/10/2018	1233	Search	Application2
Don	11/11/2018	1344	Search	Application4

I would like to check if a user listed in DB2 has searched for a particular issue category and later has logged a ticket for the same category in DB1. But I would like to count only tickets logged in DB1 within 3 days from when the search was made in DB2.

So in the above example, Dave has made a search for an Outlook issue on 10/10/2018 and later logged a ticket in DB1 for the same category on 10/11/2018 (This falls within the 3 days bracket). I want to be able to count all such ticket (which are unique) for all such cases.

[Saravanan_Desingh]

Check the date format. It seems to be DD/MM/YYYY. In that case your expected output is wrong.

[Saravanan_Desingh]

One solution is:

SET DateFormat='D/M/YYYY';
tab1:
LOAD * INLINE [
    DB1_User_Name, Ticket_Create_Date, Ticket_no, DB1_Issue_type
    Dave, 10/11/2018, 123, Outlook
    Bell, 10/11/2018, 124, PC
    Scott, 12/10/2018, 125, Application1
    Don, 21/10/2018, 126, Login
    Ravi, 28/10/2018, 127, Outlook
    Tim, 1/11/2018, 128, Application2
    Dave, 5/11/2018, 129, Outlook
    Scott, 17/11/2018, 130, Application3
    Bell, 14/11/2018, 131, Mouse
    Don, 11/11/2018, 132, Application4
];
Join 
tab2:
LOAD *, DB2_User_Name As DB1_User_Name, DB2_Issue_type As DB1_Issue_type
;
LOAD * INLINE [
    DB2_User_Name, Search_Date, Search_Session_ID, Action Type, DB2_Issue_type
    Mathew, 10/10/2018, 345, Call, PC
    Dave, 10/10/2018, 456, Search, Outlook
    Scott, 11/10/2018, 567, Search, Application1
    Don, 20/10/2018, 678, Search, Login
    Paul, 28/10/2018, 789, Start, Mouse
    Bob, 1/11/2018, 900, Ping, Application3
    Chris, 5/11/2018, 1011, Call, Application3
    Don, 17/11/2018, 1122, Search, Application4
    Tim, 14/10/2018, 1233, Search, Application2
    Don, 11/11/2018, 1344, Search, Application4
];

tab3:
LOAD *, If(Ticket_Create_Date >= Search_Date And Ticket_Create_Date <= Search_Date+3,'Y') As Flag
Resident tab1;

Drop Table tab1;