I like to request your help. I can get the results seperated but now i want to create a query which has it perfect for a external person. my explanation:
I have a statistics database with in this database a table when some records comes in and each records has several columns with values etc...
Now one of these columns is called "MT"
MT Column can have only one of the following values per records: A,B,C,D,E
The records also have a columne called TotalAmount which indicate a size of a value outside the database. This TotalAmount column is numeric without decimals and can have a value between 1 and 10.000.
And the last part is the records it self, the table has X amount of records.
So Basicly i need to create a query which seperates each MT value and calculates the amount of records per MT and the sum of TotalAmount.
This is on SQL Server 2005.
Many thanks for your assistance!
Very hard to guess without a full db schema. But I think you need.
SELECT MT, Count(*), SUM (TotalAmout)
FROM YourTable
GROUP BY MT
Related
Imagine there is a SQL statement with 300+ columns
create table if not exists (
300+ columns
);
Insert into
select
300 columns
from
a inner join b
on a.key=b.key
;
It just keeps showing the error message
Invalid operation: INSERT has more expressions than target columns;
It is really hard to find which column is miss matching since there are too many columns.
Is there any way I can count the number of columns in a SELECT statement?
I know we can count the number of columns in information schema, but I want to count the number of columns/ items in a select statement, not an existing SQL table.
Well, you can use information_schema tables. For instance, you could use:
create table tempt as
select 300 columns
from a inner join
b
on a.key = b.key;
(I would add something like limit 1 because you may not care about the data.)
Then you can look in information_schema.columns to get the columns lists in order, with their types. You can even compare the columns to the original table, using SQL statements.
I am new to VBA so I apologize in advance if this seems basic to you experts but I appreciate all of the help I can get.
I have a table containing a column of reference numbers that can grow or shrink weekly. I also have a query pulling back price list data that has changed since last week. The query results vary weekly. What I need to do is assign all of the query results to each reference number and have all of that end up in a make table. For example if there are 10 reference numbers and the query result is 10 rows then 100 lines would be added to the table (adding the reference number to the beginning of each row). This sounds like some sort of loop but your the experts, not me.
Thanks in advance!
You can solve it with a cross join. In a cross join you join two tables without specifying a join clause. Such a query returns all possible combinations of rows of the two tables (this is called a Cartesian product)
SELECT col_a, col_b INTO newTable
FROM table_a, table_b
If table_a contains 10 rows and table_b contains 5 rows, this returns 50 rows.
I need your assistance to figure out how to achieve the following in MS access database.
I have a table with a lot of columns but one of them has a numeric value that will be used as how many times will the record will be repeated.
I need to make another table with repeated records based on Count column.
Build a numbers (aka tally) table (you can google it). I'll call it tblNumbers. Then all you need to do is create a query SELECT <yourTable>.* FROM <yourTable>, tblNumbers WHERE tblNumbers.Number <= <yourTable>.<numberField>
So I have a data table which looks like
Where each row has a timestamp column in Unix time. I need to find all the places where two entries with the same resource_id are x(day month, year etc) amount of time apart, so I need a query that will go through and look at the differences between one row and the next and spit back the ones which differ by more than a specified amount.
Anybody have any ideas on how to do this? Thanks in advance
You may use a cross join to compare every row in the table with every other row in the table then compare the field. For example the following will return where the two rows are 2 months apart.
SELECT t.resource_id, s.resource_id
FROM table t CROSS JOIN table s
WHERE TIMESTAMPDIFF(MONTH,t.timestamp,s.timestamp) = 2
Note that this could be extremely slow if the table is large. Or according to the MySQL docs just saying JOIN without specifying the condition will result in a cartesian product which is equivalent to a cross join.
I am running Microsoft SQL Server 2008 R2, and pulling information from two tables to create one new table.
Table A has leads with a unique lead number and other information.
Table B has sales with a unique sales number, and the lead number associated with it.
Data from both tables are pulled into temp tables in SQL Server so I can change and update whatever I need, and the output of this will go into a new table.
One lead from Table A can have multiple sales associated with it in table B.
I want to update the Number of Sales column in Table A (Leads) based on how many times that lead number appears in Table B (sales). So if Table B (sales) has a lead number tied to seven (7) sales, the Number of Sales column in Table A (leads) will be updated to 7.
I have tried a few variations using the COUNT function but with no success. Any help would be appreciated.
This should work for you assuming the field name is leadNo:
update tablea
set sales = (select count(*)
from tableb
where tableb.leadNo = tablea.leadNo)
SQL Fiddle Demo