I have two following queries. How can I modify this into single query? The result should be true if either query returns data, and false otherwise:
select custId from customer where customerId=3425632456 and custPhone='5653663251';
select accountnumber from account where accountId=524526 and accountPhone='5653663251';
Here custPhone=accountPhone
I think that you want exists:
select case
when exists (select custId from customer where customerId=3425632456 and custPhone='5653663251')
then 1
when exists (select accountnumber from account where accountId=524526 and accountPhone='5653663251')
then 1
else 0
end res
from dual
This query always return a single row, with a single column called res. If any of the subqueries returns something, then res has value 1, else 0.
As a performance bonus for using case, the second subquery is not executed if the first succeeds (this is called short-circuit evaluation). If your queries are time consuming, this can be interesting; make sure to put the less expensive query first.
If you actually want to return the values, then that's different. One option is union all:
select custId from customer where customerId=3425632456 and custPhone='5653663251'
union all
select accountnumber from account where accountId=524526 and accountPhone='5653663251'
Note that, unlike the first query, this does not guarantee that only one row will be returned. Depending on your data, this could give any number of row, 0 included. You might need additional casting to align the datatypes.
You could do a FULL OUTER JOIN on the two tables and check for the count using CASE statement:
SELECT
CASE
WHEN COUNT(*) > 0
THEN 'TRUE'
ELSE 'FALSE'
END result,
FROM
customer c
FULL OUTER JOIN
account a
ON c.custPhone = a.accountPhone
WHERE c.customerId=3425632456
AND a.accountId=524526
AND c.custPhone='5653663251;
Try this
select
custId,
accountnumber
from customer c
left join account a
on c.custPhone = a.accountPhone
where customerId = 3425632456
;
Related
I have run into an issue I don't know how to solve. I'm working with a MS Access DB.
I have this data:
I want to write a SELECT statement, that gives the following result:
For each combination of Project and Invoice, I want to return the record containing the maximum date, conditional on all records for that combination of Project and Invoice being Signed (i.e. Signed or Date column not empty).
In my head, first I would sort the irrelevant records out, and then return the max date for the remaining records. I'm stuck on the first part.
Could anyone point me in the right direction?
Thanks,
Hulu
Start with an initial query which fetches the combinations of Project, Invoice, Date from the rows you want returned by your final query.
SELECT
y0.Project,
y0.Invoice,
Max(y0.Date) AS MaxOfDate
FROM YourTable AS y0
GROUP BY y0.Project, y0.Invoice
HAVING Sum(IIf(y0.Signed Is Null,1,0))=0;
The HAVING clause discards any Project/Invoice groups which include a row with a Null in the Signed column.
If you save that query as qryTargetRows, you can then join it back to your original table to select the matching rows.
SELECT
y1.Project,
y1.Invoice,
y1.Desc,
y1.Value,
y1.Signed,
y1.Date
FROM
YourTable AS y1
INNER JOIN qryTargetRows AS sub
ON (y1.Project = sub.Project)
AND (y1.Invoice = sub.Invoice)
AND (y1.Date = sub.MaxOfDate);
Or you can do it without the saved query by directly including its SQL as a subquery.
SELECT
y1.Project,
y1.Invoice,
y1.Desc,
y1.Value,
y1.Signed,
y1.Date
FROM
YourTable AS y1
INNER JOIN
(
SELECT y0.Project, y0.Invoice, Max(y0.Date) AS MaxOfDate
FROM YourTable AS y0
GROUP BY y0.Project, y0.Invoice
HAVING Sum(IIf(y0.Signed Is Null,1,0))=0
) AS sub
ON (y1.Project = sub.Project)
AND (y1.Invoice = sub.Invoice)
AND (y1.Date = sub.MaxOfDate);
Write A SQL query, which should be possible in MS-Access too, like this:
SELECT
Project,
Invoice,
MIN([Desc]) Descriptions,
SUM(Value) Value,
MIN(Signed) Signed,
MAX([Date]) "Date"
FROM data
WHERE Signed<>'' AND [Date]<>''
GROUP BY
Project,
Invoice
output:
Project
Invoice
Descriptions
Value
Signed
Date
A
1
Ball
100
J.D.
2022-09-20
B
1
Sofa
300
J.D.
2022-09-22
B
2
Desk
100
J.D.
2022-09-23
Note: for invoice 1 on project A, you will see a value of 300, which is the total for that invoice (when grouping on Project='A' and Invoice=1).
Maybe I should have used DCONCAT (see: Concatenation in between records in Access Query ) for the Description, to include 'TV' in it. But I am unable to test that so I am only referring to this answer.
Try joining a second query:
Select *
From YourTable As T
Inner Join
(Select Project, Invoice, Max([Date]) As MaxDate
From YourTable
Group By Project, Invoice) As S
On T.Project = S.Project And T.Invoice = S.Invoice And T.Date = S.MaxDate
I’m trying to use a correlated subquery in my sql code and I can't wrap my head around what I'm doing wrong. A brief description about the code and what I'm trying to do:
The code consists of a big query (ALIASED AS A) which result set looks like a list of customer IDs, offer IDs and response status name ("SOLD","SELLING","IRRELEVANT","NO ANSWER" etc.) of each customer to each offer. The customers IDs and the responses in the result set are non-unique, since more than one offer can be made to each customer, and a customer can have different response for different offers.
The goal is to generate a list of distinct customer IDs and to mark each ID with 0 or 1 flag :
if the ID has AT LEAST ONE offer with status name is "SOLD" or "SELLING" the flag should be 1 otherwise 0. Since each customer has an array of different responses, what I'm trying to do is to check if "SOLD" or "SELLING" appears in this array for each customer ID, using correlated subquery in the case statement and aliasing the big underlying query named A with A1 this time:
select distinct
A.customer_ID,
case when 'SOLD' in (select distinct A1.response from A as A1
where A.customer_ID = A1.customer_ID) OR
'SELLING' in (select distinct A1.response from A as A1
where A.customer_ID = A1.customer_ID)
then 1 else 0 end as FLAG
FROM
(select …) A
What I get is a mistake alert saying there is no such object as A or A1.
Thanks in advance for the help!
You can use exists with cte :
with cte as (
<query here>
)
select c.*,
(case when exists (select 1
from cte c1
where c1.customer_ID = c.customer_ID and
c1.response in ('sold', 'selling')
)
then 1 else 0
end) as flag
from cte c;
You can also do aggregation :
select customer_id,
max(case when a.response in ('sold', 'selling') then 1 else 0 end) as flag
from < query here > a;
group by customer_id;
With statement as suggested by Yogesh is a good option. If you have any performance issues with "WITH" statement. you can create a volatile table and use columns from volatile table in your select statement .
create voltaile table as (select response from where response in ('SOLD','SELLING').
SELECT from customer table < and join voltaile table>.
The only disadvantge here is volatile tables cannot be accessed after you disconnect from session.
I have an SQLite3 database with a table upon which I need to filter by several factors. Once such factor is to filter our rows based on the content of other rows within the same table.
From what I've researched, a self JOIN is going to be required, but I am not sure how I would do that to filter the table by several factors.
Here is a sample table of the data:
Name Part # Status Amount
---------------------------------
Item 1 12345 New $100.00
Item 2 12345 New $15.00
Item 3 35864 Old $132.56
Item 4 12345 Old $15.00
What I need to do is find any Items that have the same Part #, one of them has an "Old" Status and the Amount is the same.
So, first we would get all rows with Part # "12345," and then check if any of the rows have an "Old" status with a matching Amount. In this example, we would have Item2 and Item4 as a result.
What now would need to be done is to return the REST of the rows within the table, that have a "New" Status, essentially discarding those two items.
Desired Output:
Name Part # Status Amount
---------------------------------
Item 1 12345 New $100.00
Removed all "Old" status rows and any "New" that had a matching "Part #" and "Amount" with an "Old" status. (I'm sorry, I know that's very confusing, hence my need for help).
I have looked into the following resources to try and figure this out on my own, but there are so many levels that I am getting confused.
Self-join of a subquery
ZenTut
Compare rows and columns of same table
The first two links dealt with comparing columns within the same table. The third one does seem to be a pretty similar question, but does not have a readable answer (for me, anyway).
I do Java development as well and it would be fairly simple to do this there, but I am hoping for a single SQL query (nested), if possible.
The "not exists" statment should do the trick :
select * from table t1
where t1.Status = 'New'
and not exists (select * from table t2
where t2.Status = 'Old'
and t2.Part = t1.Part
and t2.Amount = t1.Amount);
This is a T-SQL answer. Hope it is translatable. If you have a big data set for matches you might change the not in to !Exists.
select *
from table
where Name not in(
select Name
from table t1
join table t2
on t1.PartNumber = t2.PartNumber
AND t1.Status='New'
AND t2.Status='Old'
and t1.Amount=t2.Amount)
and Status = 'New'
could be using an innner join a grouped select for get status old and not only this
select * from
my_table
INNER JOIN (
select
Part_#
, Amount
, count(distinct Status)
, sum(case when Status = 'Old' then 1 else 0 )
from my_table
group part_#, Amount,
having count(distinct Status)>1
and sum(case when Status = 'Old' then 1 else 0 ) > 0
) t on.t.part_# = my_table.part_#
and status = 'new'
and my_table.Amount <> t.Amount
Tried to understand what you want best I could...
SELECT DISTINCT yt.PartNum, yt.Status, yt.Amount
FROM YourTable yt
JOIN YourTable yt2
ON yt2.PartNum = yt.PartNum
AND yt2.Status = 'Old'
AND yt2.Amount != yt.Amount
WHERE yt.Status = 'New'
This gives everything with a new status that has an old status with a different price.
I am facing a difficulty in SQL. I have account no's and plans. I want to know all the people who are not enrolled in a particular plan.
acct plans
1 planA
1 planB
2 planA
3 planC
4 planD
I need people who have not enrolled in planA. My current query is:
select * from table where plans <> 'planA'
But I'm also getting acct 1 since the row has planB. I need acct 3,4 as output only.
Try
select * from accplans a
where a.acct not in
(select a2.acct from accplans a2 where a2.plans = 'planA')
The obvious solution is to use self-join. Joins are costly operations. You might try a different approach.
SELECT acct,
SUM(CASE WHEN plans='planA' THEN 1 ELSE 0 END) AS hasPlanA
FROM tbl
GROUP BY acct
HAVING hasPlanA = 0
With above statement, you are actually counting how many times a customer has subscribed for planA. The HAVING clause filters only the results with zero planA subscriptions.
Just another possible query, that builds the list of plans , a member is subscribed to and checks if planA isnt in that list -
with temptable as
(
select acct,collect_list(plans) as plan_list
from plantable
group by acct
)
select * from temptable
where array_contains(plan_list,'planA') = false;
select COUNT(analysed) from Results where analysed="True"
I want to display count of rows in which analysed value is true.
However, my query gives the error: "The multi-part identifier "Results.runId" could not be bound.".
This is the actual query:
select ((SELECT COUNT(*) AS 'Count'
FROM Results
WHERE Analysed = 'True')/failCount) as PercentAnalysed
from Runs
where Runs.runId=Analysed.runId
My table schema is:
The value I want for a particular runId is: (the number of entries where analysed=true)/failCount
EDIT : How to merge these two queries?
i) select runId,Runs.prodId,prodDate,prodName,buildNumber,totalCount as TotalTestCases,(passCount*100)/(passCount+failCount) as PassPercent,
passCount,failCount,runOwner from Runs,Product where Runs.prodId=Product.prodId
ii) select (cast(counts.Count as decimal(10,4)) / cast(failCount as decimal(10,4))) as PercentAnalysed
from Runs
inner join
(
SELECT COUNT(*) AS 'Count', runId
FROM Results
WHERE Analysed = 'True'
GROUP BY runId
) counts
on counts.runId = Runs.runId
I tried this :
select runId,Runs.prodId,prodDate,prodName,buildNumber,totalCount as TotalTestCases,(passCount*100)/(passCount+failCount) as PassPercent,
passCount,failCount,runOwner,counts.runId,(cast(counts.Count as decimal(10,4)) / cast(failCount as decimal(10,4))) as PercentAnalysed
from Runs,Product
inner join
(
SELECT COUNT(*) AS 'Count', runId
FROM Results
WHERE Analysed = 'True'
GROUP BY runId
) counts
on counts.runId = Runs.runId
where Runs.prodId=Product.prodId
but it gives error.
Your problems are arising from improper joining of tables. You need information from both Runs and Results, but they aren't combined properly in your query. You have the right idea with a nested subquery, but it's in the wrong spot. You're also referencing the Analysed table in the outer where clause, but it hasn't been included in the from clause.
Try this instead:
select (cast(counts.Count as decimal(10,4)) / cast(failCount as decimal(10,4))) as PercentAnalysed
from Runs
inner join
(
SELECT COUNT(*) AS 'Count', runId
FROM Results
WHERE Analysed = 'True'
GROUP BY runId
) counts
on counts.runId = Runs.runId
I've set this up as an inner join to eliminate any runs which don't have analysed results; you can change it to a left join if you want those rows, but will need to add code to handle the null case. I've also added casts to the two numbers, because otherwise the query will perform integer division and truncate any fractional amounts.
I'd try the following query:
SELECT COUNT(*) AS 'Count'
FROM Results
WHERE Analysed = 'True'
This will count all of your rows where Analysed is 'True'. This should work if the datatype of your Analysed column is either BIT (Boolean) or STRING(VARCHAR, NVARCHAR).
Use CASE in Count
SELECT COUNT(CASE WHEN analysed='True' THEN analysed END) [COUNT]
FROM Results
Click here to view result
select COUNT(*) from Results where analysed="True"