Hi,

While it is always recommended to use unique keys for all tables below is the query that shall work in such case:

Thanks a lot for your help

Tried the above query but I got the follwoing message error;

Syntax error (missing operator) in query expression

Phone2 + CAST(CallDate2 AS varchar)

Please help, thanks

Hi,

What is the data type of the Phone number and CallDate in your data bases??

A better solution is to use a left join it is more efficient than using the IN clause


The left join means return all records in Table1 even if there is no matching record in Table2 in which case nulls are returned for the Table2 columns. So if we specify null as the criteria in the where clause we get only records in Table1 that are unmatched, meaning they don't exist in Table2.

Hi

I tried this solution. It worked but the result is incomplete. more than 2000 records not included in the answer table.

Select
t1.*
from
Table1 t1
left join Table2 t2 on t1.date_field = t2.date_field and t1.number_dialed = t2.number_dialed
where
t2.date_field is null


but the result is not correct . because it gives me only records of telephone numbers that are not mentioned in Table2 at all. but there are calls to telephone numbers that exist in both table. please have a look at an extract from table 1 and table 2 below:


Table 1

ID Date Time Duration number dialed Cost
1 23/05/2007 09:27:15 AM 37 883679937260 1.56
2 25/05/2007 11:13:35 AM 79 8836793210552 0.52
3 31/05/2007 12:56:30 AM 505 8836793210552 3.36
4 31/05/2007 12:47:40 AM 433 8836793210552 2.88
5 01/05/2007 01:55:45 AM 67 8836793210552 1.44
6 02/05/2007 08:31:10 AM 223 8836793210552 1.48
7 03/05/2007 08:38:10 AM 943 8836793213112 6.28
8 10/05/2007 12:08:10 PM 103 8836793213719 2.68
9 10/05/200 12:13:40 PM 133 8836793213719 2.88
10 10/05/2007 05:10:50 PM 61 8836793213719 1.4
11 10/05/2007 02:41:10 PM 43 8846793213718 0.28
12 10/05/2007 05:07:45 PM 67 8836793213756 0.44

Table2
ID Date Time Duration number dialed Cost
1 23/05/2007 09:27:15 AM 37 883679937260 1.56
2 25/05/2007 11:13:35 AM 79 8836793210552 0.52
3 02/05/2007 08:31:10 AM 223 8836793210552 1.48
4 03/05/2007 08:38:10 AM 943 8836793213112 6.28
5 10/05/2007 12:08:10 PM 103 8836793213719 2.68
6 10/05/2007 12:13:40 PM 133 8836793213719 2.88


Please help me. thank you

Sorry I don't get what you want. First you say:
Then you say:
To me these are mutualy exclusive.

Given the sample data you have posted, please post what you want to see in the result set. Then perhaps I might be able to figure out what you're after.

Hi,

I want to get records that are in table 1 but do not exist in table 2. i mean records not (number dialed). bcz there are records of calls made to same telephone number but do not have the same duration nor same cost .

From Table 1 and Table 2, pls see e.g of what I m after in table 3 below:

Table 3:

ID Date Time Duration (SEC) number dialed Cost
3 31/05/2007 12:56:30 AM 505 8836793210552 3.36
4 31/05/2007 12:47:40 AM 433 8836793210552 2.88
10 10/05/2007 05:10:50 PM 61 8836793213719 1.4
11 10/05/2007 02:41:10 PM 43 8836793213719 0.28
12 10/05/2007 05:07:45 PM 67 8836793213756 0.44


Table 1

ID Date Time Duration number dialed Cost
1 23/05/2007 09:27:15 AM 37 883679937260 1.56
2 25/05/2007 11:13:35 AM 79 8836793210552 0.52
3 31/05/2007 12:56:30 AM 505 8836793210552 3.36
4 31/05/2007 12:47:40 AM 433 8836793210552 2.88
5 01/05/2007 01:55:45 AM 67 8836793210552 1.44
6 02/05/2007 08:31:10 AM 223 8836793210552 1.48
7 03/05/2007 08:38:10 AM 943 8836793213112 6.28
8 10/05/2007 12:08:10 PM 103 8836793213719 2.68
9 10/05/200 12:13:40 PM 133 8836793213719 2.88
10 10/05/2007 05:10:50 PM 61 8836793213719 1.4
11 10/05/2007 02:41:10 PM 43 8846793213718 0.28
12 10/05/2007 05:07:45 PM 67 8836793213756 0.44

Table2
ID Date Time Duration number dialed Cost
1 23/05/2007 09:27:15 AM 37 883679937260 1.56
2 25/05/2007 11:13:35 AM 79 8836793210552 0.52
3 02/05/2007 08:31:10 AM 223 8836793210552 1.48
4 03/05/2007 08:38:10 AM 943 8836793213112 6.28
5 10/05/2007 12:08:10 PM 103 8836793213719 2.68
6 10/05/2007 12:13:40 PM 133 8836793213719 2.88


Thanks much

Ok then you need to join *all* the fields.


Note:
The [] around column names are because I think some of those are reserved words in SQL and that is how you escape them. I don't know if they are your actual column names.