Is there a way to merge similar values in the same column and not affect the rest, for example:
I want to sum Amount by Company and ID too.
You cannot get the data you want to display. You will be getting company name being repeated. If you want to dispaly data in the way, where company name is not repeating for subsequent rows, you have to use EXCEL or some other presentation layer tool.
SELECT Company, ID, SUM(Amount)
FROM Table1
GROUP BY Company,ID
+---------+-----+--------+
| Company | ID | Amount |
+---------+-----+--------+
| ABC | 001 | 3 |
| ABC | 002 | 3 |
| DEF | 002 | 10 |
| DEF | 003 | 5 |
+---------+-----+--------+
Related
I have an enum State which can contain values like CA, NY, etc.
If I have a table Users , with a column states that contains an array of State values, so for example {CA, NY} how can I write a query to count the users grouped by each State value? so for {CA, NY} that should count 1 for CA and 1 for NY
So If I had records like:
| id | states |
| -- | ------- |
| 1 | {CA,NY} |
| 2 | {CA} |
| 3 | {NV,CA} |
I would expect a query to output:
| State | count |
| ----- | ----- |
| CA | 3 |
| NV | 1 |
| NY | 1 |
The first piece of advice is to normalise your data. You are breaking 2nd Normal form by holding multiple pieces of information in a single column.
Assuming you can't change that, then you will need to SPLIT the data like this
enter link description here
and you can then COUNT() and group it.
I have a Production Table and a Standing Data table. The relationship of Production to Standing Data is actually Many-To-Many which is different to how this relationship is usually represented (Many-to-One).
The standing data table holds a list of tasks and the score each task is worth. Tasks can appear multiple times with different "ValidFrom" dates for changing the score at different points in time. What I am trying to do is query the Production Table so that the TaskID is looked up in the table and uses the date it was logged to check what score it should return.
Here's an example of how I want the data to look:
Production Table:
+----------+------------+-------+-----------+--------+-------+
| RecordID | Date | EmpID | Reference | TaskID | Score |
+----------+------------+-------+-----------+--------+-------+
| 1 | 27/02/2020 | 1 | 123 | 1 | 1.5 |
| 2 | 27/02/2020 | 1 | 123 | 1 | 1.5 |
| 3 | 30/02/2020 | 1 | 123 | 1 | 2 |
| 4 | 31/02/2020 | 1 | 123 | 1 | 2 |
+----------+------------+-------+-----------+--------+-------+
Standing Data
+----------+--------+----------------+-------+
| RecordID | TaskID | DateActiveFrom | Score |
+----------+--------+----------------+-------+
| 1 | 1 | 01/02/2020 | 1.5 |
| 2 | 1 | 28/02/2020 | 2 |
+----------+--------+----------------+-------+
I have tried the below code but unfortunately due to multiple records meeting the criteria, the production data duplicates with two different scores per record:
SELECT p.[RecordID],
p.[Date],
p.[EmpID],
p.[Reference],
p.[TaskID],
s.[Score]
FROM ProductionTable as p
LEFT JOIN StandingDataTable as s
ON s.[TaskID] = p.[TaskID]
AND s.[DateActiveFrom] <= p.[Date];
What is the correct way to return the correct and singular/scalar Score value for this record based on the date?
You can use apply :
SELECT p.[RecordID], p.[Date], p.[EmpID], p.[Reference], p.[TaskID], s.[Score]
FROM ProductionTable as p OUTER APPLY
( SELECT TOP (1) s.[Score]
FROM StandingDataTable AS s
WHERE s.[TaskID] = p.[TaskID] AND
s.[DateActiveFrom] <= p.[Date]
ORDER BY S.DateActiveFrom DESC
) s;
You might want score basis on Record Level if so, change the where clause in apply.
I am wanting to insert multiple rows into a table based on the "Material" column. Attached below is a snippet of the table:
+----------+---------+-----------+
| Material | Station | BuildTime |
+----------+---------+-----------+
| ABC | #1 | 5 |
| ABC | #2 | 10 |
| ABC | #3 | 15 |
| DEF | #1 | 7 |
| DEF | #2 | 12 |
| DEF | #3 | 19 |
| GHI | #1 | 11 |
| GHI | #2 | 24 |
| GHI | #3 | 13 |
+----------+---------+-----------+
As you can see, there are three types of material here at three different stations - making for a total of 9 entries. Let's say I wanted to add a "Station #4" row for each type of material. How can I insert per material "group"?
In my specific case, the "buildtime" value of Station #4 will all be identical with a value of 50.
This seems simple if there were truly only three material groups, but in the actual case, there are hundreds. Is there a way to parse through them and insert a row per group?
Thanks in advance.
You can use insert:
insert into t (material, station, buildtime)
select distinct material, '#4', 50
from t;
I am working with SQL Server database and I have a table called companiesData with three columns: id, name, projects I want to get the values from the id and name without the repeated values.
Content of the tables:
| id | name | project |
| 1 | Company A | Project A |
| 2 | Company B | Project A |
| 3 | Company B | Project B |
| 4 | Company A | Project B |
If I write:
select distinct name from companiesData;
The query returns:
| name |
| Company A |
| Company B |
But like I said in the beginning I want the data from two columns of the same table (I only have one right now). So I write the next query to get the data:
select distinct id, company from companiesData;
And it returns:
| id | name |
| 1 | Company A |
| 2 | Company B |
| 3 | Company B |
| 4 | Company A |
So, I also tried with:
select id, company from companiesData group by id, company;
But this returns the same data of the second query. In others questions the answer to this problem is use distinct or group by but this is not working for me.
Is there any other way to get this data? Am I wrong in my queries?
Thanks in advance.
So you want "Company A" to appear once in your results, with one of the ids, and you don't care which one? How about:
select min(id), company from companiesData group by company
I have data on approx 1000 individuals, where each individual can have multiple rows, with multiple dates and where the columns indicate the program admitted to and a code number.
I need each row to contain a distinct date, so I need to delete the rows of duplicate dates from my table. Where there are multiple rows with the same date, I need to keep the row that has the lowest code number. In the case of more than one row having both the same date and the same lowest code, then I need to keep the row that also has been in program (prog) B. For example;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-06-02 | 211 | B |
| 1 | 1997-08-19 | 67 | A |
| 1 | 1997-08-19 | 23 | A |
So my desired output would look like this;
| ID | DATE | CODE | PROG|
--------------------------------
| 1 | 1996-08-16 | 24 | A |
| 1 | 1997-06-02 | 123 | B |
| 1 | 1997-08-19 | 23 | A |
I'm struggling to come up with a solution to this, so any help greatly appreciated!
Microsoft SQL Server 2012 (X64)
The following works with your test data
SELECT ID, date, MIN(code), MAX(prog) FROM table
GROUP BY date
You can then use the results of this query to create a new table or populate a new table. Or to delete all records not returned by this query.
SQLFiddle http://sqlfiddle.com/#!9/0ebb5/5
You can use min() function: (See the details here)
select ID, DATE, min(CODE), max(PROG)
from table
group by DATE
I assume that your table has a valid primary key. However i would recommend you to take IDas Primary key. Hope this would help you.