I'm using SQL Azure with asp script, and for the life of me, have had no luck trying to get this to work. The table I'm running a query on has many columns, but I want to query for distinct values on 2 columns (name and email), from there I want it to return the entire row's values.
What my query looks like now:
SELECT DISTINCT quote_contact, quote_con_email
FROM quote_headers
WHERE quote_contact LIKE '"&query&"%'
But I need it to return the whole row so I can retrieve other data points. Had I been smart a year ago, I would have created a separate table just for the contacts, but that's a year ago.
And before I implemented LiveSearch features.
One approach would be to use a CTE (Common Table Expression). With this CTE, you can partition your data by some criteria - i.e. your quote_contact and quote_con_email - and have SQL Server number all your rows starting at 1 for each of those partitions, ordered by some other criteria - i.e. probably SomeDateTimeStamp.
So try something like this:
;WITH DistinctContacts AS
(
SELECT
quote_contact, quote_con_email, (other columns here),
RN = ROW_NUMBER() OVER(PARTITION BY quote_contact, quote_con_email ORDER BY SomeDateTimeStamp DESC)
FROM
dbo.quote_headers
WHERE
quote_contact LIKE '"&query&"%'
)
SELECT
quote_contact, quote_con_email, (other columns here)
FROM
DistinctContacts
WHERE
RowNum = 1
Here, I am selecting only the last entry for each "partition" (i.e. for each pair of name/email) - ordered in a descending fashion by the time stamp.
Does that approach what you're looking for??
You need to provide more details.
This is what I could come up with Without them:
WITH dist as (
SELECT DISTINCT quote_contact, quote_con_email, RANK() OVER(ORDER BY quote_contact, quote_con_email) rankID
FROM quote_headers
WHERE quote_contact LIKE '"&query&"%'
),
data as (
SELECT *, RANK() OVER(ORDER BY quote_contact, quote_con_email) rankID FROM quote_headers
)
SELECT * FROM dist d INNER JOIN data src ON d.rankID = src.rankID
Related
I'm creating PREDICATE system for my application.
Please see image that I already
I have a question how can I select rows in SQL with latest date "Taken On" column tables for each "QuizESId" columns, before that I am understand how to select it but it only using one table, I learn from this
select rows in sql with latest date for each ID repeated multiple times
Here is what I have already tried
SELECT tt.*
FROM myTable tt
INNER JOIN
(SELECT ID, MAX(Date) AS MaxDateTime
FROM myTable
GROUP BY ID) groupedtt ON tt.ID = groupedtt.ID
AND tt.Date = groupedtt.MaxDateTime
What I am confused about here is how can I select from 3 tables, I hope you can guide me, of course I need a solution with good query and efficient performance.
Thanks
This is for SQL Server (you didn't specify exactly what RDBMS you're using):
if you want to get the "latest row for each QuizId" - this sounds like you need a CTE (Common Table Expression) with a ROW_NUMBER() value - something like this (updated: you obviously want to "partition" not just by QuizId, but also by UserName):
WITH BaseData AS
(
SELECT
mAttempt.Id AS Id,
mAttempt.QuizModelId AS QuizId,
mAttempt.StartedAt AS StartsOn,
mUser.UserName,
mDetail.Score AS Score,
RowNum = ROW_NUMBER() OVER (PARTITION BY mAttempt.QuizModelId, mUser.UserName
ORDER BY mAttempt.TakenOn DESC)
FROM
UserQuizAttemptModels mAttempt
INNER JOIN
AspNetUsers mUser ON mAttempt.UserId = muser.Id
INNER JOIN
QuizAttemptDetailModels mDetail ON mDetail.UserQuizAttemptModelId = mAttempt.Id
)
SELECT *
FROM BaseData
WHERE QuizId = 10053
AND RowNum = 1
The BaseData CTE basically selects the data (as you did) - but it also adds a ROW_NUMBER() column. This will "partition" your data into groups of data - based on the QuizModelId - and it will number all the rows inside each data group, starting at 1, and ordered by the second condition - the ORDER BY clause. You said you want to order by "Taken On" date - but there's no such date visible in your query - so I just guessed it might be on the UserQuizAttemptModels table - change and adapt as needed.
Now you can select from that CTE with your original WHERE condition - and you specify, that you want only the first row for each data group (for each "QuizId") - the one with the most recent "Taken On" date value.
In SQL Server, I am attempting to pull the second latest NOTE_ENTRY_DT_TIME (items highlighted in screenshot). With the query written below it still pulls the latest date (I believe it's because of the grouping but the grouping is required to join later). What is the best method to achieve this?
SELECT
hop.ACCOUNT_ID,
MAX(hop.NOTE_ENTRY_DT_TIME) AS latest_noteid
FROM
NOTES hop
WHERE
hop.GEN_YN IS NULL
AND hop.NOTE_ENTRY_DT_TIME < (SELECT MAX(hope.NOTE_ENTRY_DT_TIME)
FROM NOTES hope
WHERE hop.GEN_YN IS NULL)
GROUP BY
hop.ACCOUNT_ID
Data sample in the table:
One of the "easier" ways to get the Nth row in a group is to use a CTE and ROW_NUMBER:
WITH CTE AS(
SELECT Account_ID,
Note_Entry_Dt_Time,
ROW_NUMBER() OVER (PARTITION BY AccountID ORDER BY Note_Entry_Dt_Time DESC) AS RN
FROM dbo.YourTable)
SELECT Account_ID,
Note_Entry_Dt_Time
FROM CTE
WHERE RN = 2;
Of course, if an ACCOUNT_ID only has 1 row, then it will not be returned in the result set.
The OP's statement "The row will not always be 2." from the comments conflicts with their statement "I am attempting to pull the second latest NOTE_ENTRY_DT_TIME" in the question. At a best guess, this means that the OP has rows with the same date, that could be the "latest" date. If so, then would simply need to replace ROW_NUMBER with DENSE_RANK. Their sampple data, however, doesn't suggest this is the case.
You can use window functions:
select *
from (
select
n.*,
row_number() over(partition by account_id order by note_entry_dt_time desc) rn
from notes n
) t
where rn = 2
I have a table like as shown below
What I would like to do is get the minimum of each subject. Though I am able to do this with row_number function, I would like to do this with groupby and min() approach. But it doesn't work.
row_number approach - works fine
SELECT * FROM (select subject_id,value,id,min_time,max_time,time_1,
row_number() OVER (PARTITION BY subject_id ORDER BY value) AS rank
from table A) WHERE RANK = 1
min() approach - doesn't work
select subject_id,id,min_time,max_time,time_1,min(value) from table A
GROUP BY SUBJECT_ID,id
As you can see just the two columns (subject_id and id) is enough to group the items together. They will help differentiate the group. But why am I not able to use the other columns in select clause. If I use the other columns, I may not get the expected output because time_1 has different values.
I expect my output to be like as shown below
In BigQuery you can use aggregation for this:
SELECT ARRAY_AGG(a ORDER BY value LIMIT 1)[SAFE_OFFSET(1)].*
FROM table A
GROUP BY SUBJECT_ID;
This uses ARRAY_AGG() to aggregate each record (the a in the argument list). ARRAY_AGG() allows you to order the result (by value) and to limit the size of the array. The latter is important for performance.
After you concatenate the arrays, you want the first element. The .* transforms the record referred to by a to the component columns.
I'm not sure why you don't want to use ROW_NUMBER(). If the problem is the lingering rank column, you an easily remove it:
SELECT a.* EXCEPT (rank)
FROM (SELECT a.*,
ROW_NUMBER() OVER (PARTITION BY subject_id ORDER BY value) AS rank
FROM A
) a
WHERE RANK = 1;
Are you looking for something like below-
SELECT
A.subject_id,
A.id,
A.min_time,
A.max_time,
A.time_1,
A.value
FROM table A
INNER JOIN(
SELECT subject_id, MIN(value) Value
FROM table
GROUP BY subject_id
) B ON A.subject_id = B.subject_id
AND A.Value = B.Value
If you do not required to select Time_1 column's value, this following query will work (As I can see values in column min_time and max_time is same for the same group)-
SELECT
A.subject_id,A.id,A.min_time,A.max_time,
--A.time_1,
MIN(A.value)
FROM table A
GROUP BY
A.subject_id,A.id,A.min_time,A.max_time
Finally, the best approach is if you can apply something like CAST(Time_1 AS DATE) on your time column. This will consider only the date part regardless of the time part. The query will be
SELECT
A.subject_id,A.id,A.min_time,A.max_time,
CAST(A.time_1 AS DATE) Time_1,
MIN(A.value)
FROM table A
GROUP BY
A.subject_id,A.id,A.min_time,A.max_time,
CAST(A.time_1 AS DATE)
-- Make sure the syntax of CAST AS DATE
-- in BigQuery is as I written here or bit different.
Below is for BigQuery Standard SQL and is most efficient way for such cases like in your question
#standardSQL
SELECT AS VALUE ARRAY_AGG(t ORDER BY value LIMIT 1)[OFFSET(0)]
FROM `project.dataset.table` t
GROUP BY subject_id
Using ROW_NUMBER is not efficient and in many cases lead to Resources exceeded error.
Note: self join is also very ineffective way of achieving your objective
A bit late to the party, but here is a cte-based approach which made sense to me:
with mins as (
select subject_id, id, min(value) as min_value
from table
group by subject_id, id
)
select distinct t.subject_id, t.id, t.time_1, t.min_time, t.max_time, m.min_value
from table t
join mins m on m.subject_id = t.subject_id and m.id = t.id
I want to have an ID which is the same for all entries within a partition.
Thinking of a table with columns lie this (having a table with the three columns on the left
How can I generate the new ID on the right?
I thought about row_numer() over (Partion by)... but I could not find a good way to do it.
SELECT *, RANK() OVER (ORDER BY name, attr) as new_id
FROM YourTable
I have a query that partitions and ranks "Note" records, grouping them by ID_Task (users add notes for each task). I want to rank the notes by date, but I also want to restrict it so they're ranked between two dates.
I'm using SQL Server 2008. So far my SELECT looks like this:
SELECT Note.ID,
Note.ID_Task,
Note.[Days],
Note.[Date],
ROW_NUMBER() OVER (PARTITION BY ID_Task ORDER BY CAST([Date] AS DATE), Edited ASC) AS Rank
FROM
Note
WHERE
Note.Locked = 1 AND Note.Deleted = 0
Now, I assume that if I put the WHERE clause at the bottom, although they'll still have ranks, I might or might not get item with rank 1, as it might get filtered out. So is there a way I can only partition records WHERE , ignoring all of the others? I could partition a sub-query I guess.
The intention is to use the rank number to find the most recent note for each task, in another query. So in that query I'll join with this result WHERE rank = 1.
row_number() operates after where. You'll always get a row 1.
For example:
declare #t table (id int)
insert #t values (3), (1), (4)
select row_number() over (order by id)
from #t
where id > 1
This prints:
1
2