I'm not good at all with IF statements. I currently have a schedule that looks like this:
Lot(Int) PartNum(Varchar50) Amount(Int) IsPainted(Bool) IsInspected(Bool) Finished(Bool)
1 xxx-0191 500 1 1 0
2 xxx-0191 700 1 0 0
What I'm trying to accomplish, and I'm under the thought it'll have to be handled by an IF statement but I'm certainly open for using whatever works best here, is to have a query that will give me the following
Lot PartNum Amount Status
1 xxx-0191 500 Inspected
2 xxx-0191 700 Painted
What I need it to do is just pull the last available column of "True" or "1" in the boolean columns and just display that information in the "Status" column in the query.
use this code
select
Lot,
PartNum,
Aamount,
Case when IsInspected=1 then 'Inspected' else 'Painted' end Status
from
table
Use case. Something like this:
select lot, partnum, amount,
(case when Finished = 1 then 'Finished'
when IsInspected = 1 then 'Inspected'
when IsPainted = 1 then 'Painted'
) as status
This chooses the last boolean as the one chosen for the status.
Related
First of all, sorry for the generic title, I don't know how exactly to word the question I have.
I am working with a legacy database and can't make changes to the schema, so I'm forced to work with what I've got.
Table setup (columns):
Id (a normal int id)
UniqueId (a column that holds the uniqueIds for each location)
status (a varchar column that can contain one of three status's, 'completed', 'failed', 'Attention')
Count (an int column that represents how many users fell into each status
Example data :
UniqueId Status Count
679FCE83-B245-E511-A42C-90B11C2CD708 completed 64
679FCE83-B245-E511-A42C-90B11C2CD708 Attention 1
679FCE83-B245-E511-A42C-90B11C2CD708 failed 101
4500990D-F516-E411-BB09-90B11C2CD708 completed 100
4500990D-F516-E411-BB09-90B11C2CD708 Attention 17
4500990D-F516-E411-BB09-90B11C2CD708 failed 516
557857BD-6B46-E511-A42C-90B11C2CD708 completed 67
557857BD-6B46-E511-A42C-90B11C2CD708 Attention 4
557857BD-6B46-E511-A42C-90B11C2CD708 failed 103
What I am trying to do is select all of the records, grouped by uniqueId, with a separate column for each of the status's containing their individual counts. The results would look something like this...
UniqueId, count(completed), count(failed), count(Attention)
679FCE83-B245-E511-A42C-90B11C2CD708 64 101 1
4500990D-F516-E411-BB09-90B11C2CD708 100 516 17
557857BD-6B46-E511-A42C-90B11C2CD708 67 103 4
I'm sure I'm missing something basic with this, but I can't seem to find the words to Google my way out of this one.
Could someone push me in the right direction?
You can use conditional aggregation:
select uniqueid,
sum(case when status = 'Completed' then count else 0 end) as completed,
sum(case when status = 'Failed' then count else 0 end) as failed,
sum(case when status = 'Attention' then count else 0 end) as attention
from t
group by uniqueid;
I´m a bit newbie to SQL, so I want to ask for possible solution how to create a query which will show the desired results.
There´s a table where are the data coming continuously from one main PLC so everything is gathered in 1 table. There are a bunch of data per 1 shift (about half million). In column "Op" are the machines represented by their IDs (Op = ID of machine). Machines are about from 1 to 218. Every machine has it´s their cycle times divided into starting process (T1), duration (T2), end process(T3) and Result. The "Result" can be interpreted as 0 - as OK, 1 - not OK, 2 - empty pallet, 3 - free flow of pallet. Those are the Results of what the PLCs are reporting directly into database´s table.
I have tried the basic statements to count these results for exact record states (0,1,2,3) and for exact machine. That´s OK but not the desired goal.
SELECT Count(*) as Result0
FROM PalletOperations
where Op = 1 and Result = 0
The expected result is to show a full list of every machines from 1 to 218 how many results were counted as 0, 1, 2 and 3. The other columns are not relevant for this time. The main goal is to show a result as every machine has its own row with the expected data of counted states result. If theres 218 machines, than I need to generate results of 218 machines separately from 1 to 218 in rows. Each row should contain the Op(name 1,2,3,4....218) with the columns of counted result for states 0,1,2,3 as mentioned above.
Any advice is welcome
I think you want conditional aggregation:
SELECT op,
SUM(CASE WHEN Result = 0 THEN 1 ELSE 0 END) as result_0,
SUM(CASE WHEN Result = 1 THEN 1 ELSE 0 END) as result_1,
SUM(CASE WHEN Result = 2 THEN 1 ELSE 0 END) as result_2,
SUM(CASE WHEN Result = 3 THEN 1 ELSE 0 END) as result_3
FROM PalletOperations
GROUP BY op;
you can use the below sql statement to get count of results per machine per result
SELECT op,Result, count(*)
FROM PalletOperations
GROUP BY op,Result;
I have 2 tables I am combining and that works but I think I designed the second table wrong as I have a column for each item of what really is a multiple choice question. The query is this:
select Count(n.ID) as MemCount, u.Pay1Click, u.PayMailCC, u.PayMailCheck, u.PayPhoneACH, u.PayPhoneCC, u.PayWuFoo
from name as n inner join
UD_Demo_ORG as u on n.ID = u.ID
where n.MEMBER_TYPE like 'ORG_%' and n.CATEGORY not like '%_2' and
(u.Pay1Click = '1' or u.PayMailCC = '1' or u.PayMailCheck = '1' or u.PayPhoneACH = '1' or u.PayPhoneCC = '1' or u.PayWuFoo = '1')
group by u.Pay1Click, u.PayMailCC, u.PayMailCheck, u.PayPhoneACH, u.PayPhoneCC, u.PayWuFoo
The results come up like this:
Count Pay1Click PayMailCC PayMailCheck PayPhoneACH PayPhoneCC PayWuFoo
8 0 0 0 0 0 1
25 0 0 0 0 1 0
8 0 0 0 1 0 0
99 0 0 1 0 0 0
11 0 1 0 0 0 0
So the question is, how can I get this to 2 columns, Count and then the headers of the next 6 headers so the results look like this:
Count PaymentType
8 PayWuFoo
25 PayPhoneCC
8 PayPhoneACH
99 PayMailCheck
11 PayMailCC
Thanks.
Try this one
Select Count,
CASE WHEN Pay1Click=1 THEN 'Pay1Click'
PayMailCC=1 THEN ' PayMailCC'
PayMailCheck=1 THEN 'PayMailCheck'
PayPhoneACH=1 THEN 'PayPhoneACH'
PayPhoneCC=1 THEN 'PayPhoneCC'
PayWuFoo=1 THEN 'PayWuFoo'
END as PaymentType
FROM ......
I think indeed you made a mistake in the structure of the second table. Instead of creating a row for each multiple choice question, i would suggest transforming all those columns to a 'answer' column, so you would have the actual name of the alternative as the record in that column.
But for this, you have to change the structure of your tables, and change the way the table is populated. you should get the name of the alternative checked and put it into your table.
More on this, you could care for repetitive data in your table, so writing over and over again the same string could make your table grow larger.
if there are other things implied to the answer, other informations in the UD_Demo_ORG table, then you can normalize the table, creating a payment_dimension table or something like this, give your alternatives an ID such as
ID PaymentType OtherInfo(description, etc)...
1 PayWuFoo ...
2 PayPhoneCC ...
3 PayPhoneACH ...
4 PayMailCheck ...
5 PayMailCC ...
This is called a dimension table, and then in your records, you would have the ID of the payment type, and not the information you don't need.
So instead of a big result set, maybe you could simplify by much your query and have just
Count PaymentId
8 1
25 2
8 3
99 4
11 5
as a result set. it would make the query faster too, and if you need other information, you can then join the table and get it.
BUT if the only field you would have is the name, perhaps you could use the paymentType as the "id" in this case... just consider it. It is scalable if you separate to a dimension table.
Some references for further reading:
http://beginnersbook.com/2015/05/normalization-in-dbms/ "Normalization in DBMS"
http://searchdatamanagement.techtarget.com/answer/What-are-the-differences-between-fact-tables-and-dimension-tables-in-star-schemas "Differences between fact tables and dimensions tables"
Hopefully you guy's can help.
I am writing a query from a table which has variable data specifically a completed column which can have a value of 1 or 3 the table also has two qty_ fields QTYORDERED and QTYSHIPPED
If the value is 3 in COMPLETED then QTYSHIPPED will contain a value and if the value is 1 the QTYORDERED will have a value.
What I need to do is within my query create one column which just has a QTY can someone show me how to achieve this in SQL Server
This is a simple case statement:
select (case when completed = 1 then QTYORDERED
when completed = 3 then QTYSHIPPED
end) as QTY
Note this will return NULL when completed has any other value.
You can also write this as:
select (case completed when 1 then QTYORDERED
when 3 then QTYSHIPPED
end)
However, the first form is more general, giving you more flexibility for complicated logic.
SELECT
CASE completed
WHEN 1 THEN QTYORDERED
WHEN 3 THEN QTYSHIPPED
ELSE 0 --Or add any logic when something goes wrong with "completed" value
END as Quantity
FROM ....
I have a query that produces the following:
Team | Member | Cancelled | Rate
-----------------------------------
1 John FALSE 150
1 Bill TRUE 10
2 Sarah FALSE 145
2 James FALSE 110
2 Ashley TRUE 0
What I need is to select the count of members for a team where cancelled is false and the sum of the rate regardless of cancelled status...something like this:
SELECT
Team,
COUNT(Member), --WHERE Cancelled = FALSE
SUM(Rate) --All Rows
FROM
[QUERY]
GROUP BY
Team
So the result would look like this:
Team | CountOfMember | SumOfRate
----------------------------------
1 1 160
2 2 255
This is just an example. The real query has multiple complex joins. I know I could do one query for the sum of the rate and then another for the count and then join the results of those two together, but is there a simpler way that would be less taxing and not cause me to copy and paste an already complex query?
You want a conditional sum, something like this:
sum(case when cancelled = 'false' then 1 else 0 end)
The reason for using sum(). The sum() is processing the records and adding a value, either 0 or 1 for every record. The value depends on the valued of cancelled. When it is false, then the sum() increments by 1 -- counting the number of such values.
You can do something similar with count(), like this:
count(case when cancelled = 'false' then cancelled end)
The trick here is that count() counts the number of non-NULL values. The then clause can be anything that is not NULL -- cancelled, the constant 1, or some other field. Without an else, any other value is turned into NULL and not counted.
I have always preferred the sum() version over the count() version, because I think it is more explicit. In other dialects of SQL, you can sometimes shorten it to:
sum(cancelled = 'false')
which, once you get used to it, makes a lot of sense.