I have a set of tables each containing related data and I need to select the most recent set of records for each row in the source table. There are millions of rows and I need to do this efficiently and so far im unable to return only the most recent date for a given number.
For example the current result for a given number is:
CampaignName MobileNumber Date
Campaign A 12345678910 12/02/2018 14:50:30
Campaign B 12345678910 05/02/2018 11:35:22
Only the row for Campaign A should be returned.
I'm essentially trying to get the most recent message sent for each mobile number and the campaign data for that message (each message is part of a campaign.
SELECT CC.campaignname,
Co.mobilenumber,
Max(M.msgcreatetime)
FROM [Database].[dbo].[messages] M WITH(nolock)
INNER JOIN dbo.messagecontact MC WITH(nolock)
ON M.msgid = MC.messageid
INNER JOIN dbo.campaigncontact Co WITH(nolock)
ON Co.contactid = MC.contactid
INNER JOIN dbo.campaign CC WITH(nolock)
ON M.campaignid = CC.campaignid
GROUP BY CC.campaignname,
Co.mobilenumber
Use top 1 with ties and order by row_number:
Using top 1 with ties means you will get all the records where the value of the order by expression is the lowest.
Using row_number() over(partition by Co.mobilenumber order by M.msgcreatetime desc) will return 1 for the last date for each Co.mobilenumber, 2 for the second from last etc'.
SELECT TOP 1 WITH TIES
CC.campaignname,
Co.mobilenumber,
M.msgcreatetime
FROM [Database].[dbo].[messages] M WITH(nolock)
INNER JOIN dbo.messagecontact MC WITH(nolock)
ON M.msgid = MC.messageid
INNER JOIN dbo.campaigncontact Co WITH(nolock)
ON Co.contactid = MC.contactid
INNER JOIN dbo.campaign CC WITH(nolock)
ON M.campaignid = CC.campaignid
ORDER BY ROW_NUMBER() OVER(PARTITION BY Co.mobilenumber ORDER BY M.msgcreatetime desc)
Related
I have two tables: one for money and attributes surrounding it (e.g. who earnt it) and a child table for the "ledger" - this contains one or more entries that represent the history of money that has moved.
SELECT SUM(pl.achieved)
FROM payout p
LEFT JOIN payout_ledgers pl ON pl.payout_id = p.id
This query works well when there is only one ledger item, but when more are added the SUM will increase. I want to join only the latest row. So hypothetically:
SELECT SUM(pl.achieved)
FROM payout p
LEFT JOIN payout_ledgers pl ON pl.payout_id = p.id ORDER BY pl.ts DESC LIMIT 1
WHERE ...
ORDER BY ...
LIMIT ...
(which sadly doesn't work)
What I have tried:
Using a subquery works, but is painfully slow given the size of the data set (and other omitted properties and where clauses etc.):
SELECT SUM(pl.achieved)
FROM payout p
LEFT JOIN payout_ledgers pl ON pl.payout_id = p.id AND pl.id = (SELECT id FROM payout_ledgers WHERE payout_id = p.id ORDER BY ts DESC LIMIT 1)
Incidentally, I'm unsure why this subquery is so slow (~12 seconds, as opposed to 150ms with no subquery). I would have expected it to be quicker given that we're only selecting based on the foreign key (payout_id).
Another thing I tried was to do a select from the join - my logic being that if we select from small joined dataset instead of the whole table it would be quicker. However I was met with relation "pl" does not exist error:
SELECT SUM(pl.achieved)
FROM payouts p
LEFT JOIN payout_ledgers pl ON pl.payout_id = p.id
WHERE pl.id = (SELECT id FROM pl ORDER BY ts DESC LIMIT 1)
Thank you in advance for any suggestions. I am also open to suggestions for schema changes that could make this type of logic easier, although my preference would be to try and get the query working since the schema is not easy to change on our production environment.
If you're on Postgres 9.4+, you can use a LEFT JOIN LATERAL (docs)
SELECT SUM(sub.achieved)
FROM payout p
LEFT JOIN LATERAL (SELECT achieved
FROM payout_ledgers pl
WHERE pl.payout_id = p.id
ORDER BY pl.ts DESC LIMIT 1) sub ON true
This will return the sum of the "achieved" field in the most recent entry in payout_ledgers for all payouts.
window functions:
-- using row_number()
SELECT SUM(sss.achieved)
FROM (SELECT pl.achieved
, row_number() OVER (PARTITION BY pl.payout_id, ORDER BY pl.ts DESC)
FROM payouts p
JOIN payout_ledgers pl ON pl.payout_id = p.id
) sss
WHERE sss.rn =1
;
-- using last_value()
SELECT SUM(sss.achieved)
FROM (SELECT
, last_value(achieved) OVER (PARTITION BY pl.payout_id, ORDER BY pl.ts ASC) AS achieved
FROM payouts p
JOIN payout_ledgers pl ON pl.payout_id = p.id
) sss
;
BTW: you do not need the LEFT JOIN (adding no value to the SUM does not change the sum)
I'm trying to get the sum of the total time that was spent sending all emails within a campaign.
Because of the joins in my query I end up with the 'processing_time' column duplicated over many rows. So running sum(s.processing_time) as send_time will always over represent how long it took to run.
select
c.id,
c.sender,
c.subject,
count(*) as total_items,
count(distinct s.id) as sends,
sum(s.processing_time) as send_time,
from campaigns c
left join sends s on c.id = s.campaigns_id
left join opens o on s.id = o.sends_id
group by c.id;
I'd ideally like to do something like sum(s.processing_time when distinct s.id) but I can't quite work out how to achieve that.
I have made other attempts using case but I always run into the same issue, I need to get the distinct rows based on the ID column, but work with another column.
Since you want statistics related to distinct s.id as well as c.id, group by both columns. Collect the (intermediate) data that you need,
and use this table as the inner table in a nested sub-select query.
In the outer select, group by c.id alone.
Since the inner select groups by s.id, values which are unique per s.id will not get double-counted when you sum/group by c.id.
SELECT id
, sender
, subject
, sum(total_items) as total_items
, sum(sends) as sends
, sum(processing_time) as send_time
FROM (
SELECT
c.id
, s.id as sid
, count(*) as total_items
, 1 as sends
, s.processing_time
, c.sender
, c.subject
FROM campaigns c
LEFT JOIN sends s on c.id = s.campaigns_id
LEFT JOIN opens o on s.id = o.sends_id
GROUP BY c.id, c.sender, c.subject, s.processing_time, s.id) t
GROUP BY id, sender, subject
ORDER BY id
Since the final table includes sender and subject, you'll need to group by these columns as well to avoid an error such as:
ERROR: column "c.sender" must appear in the GROUP BY clause or be used in an aggregate function
LINE 14: , c.sender
I got the below result when i run this query.
SELECT DISTINCT PT.F_PRO AS F_PRODUCT, PT.F_TEXT_CODE AS F_TEXT_CODE, PHT.F_PHRASE AS F_PHRASE FROM T_PROD_TEXT PT
LEFT JOIN T_P_LINKAGE PHL
ON PT.F_TEXT_CODE = PHL.F_TEXT_CODE
INNER JOIN T_P_TRANSLATIONS PHT
ON PHL.F_PHRASE_ID = PHT.F_PHRASE_ID
WHERE PT.F_DATA_CODE = 'MANU' AND PHT.F_LANGUAGE = 'EN'
OUTPUT
F_PRODUCT F_TEXT_CODE F_PHRASE
294264_B MANU0008 Alcoa, Inc
294264_B MANU0012 BioSensory
00091A MANU0006 3M Company
00094A MANU0006 4M Company
00094A MANU0006 5M Company
The above query returns duplication in F_PRODUCT COLUMN.i want to display F_product without duplication. only one record should display for each F_product.(First record) without using top command
Required Output
F_PRODUCT F_TEXT_CODE F_PHRASE
294264_B MANU0008 Alcoa, Inc.
00091A MANU0006 3M Company|par
You can use row_number() to assign a number to each row within a group of f_pro. Then retrieve only rows that are number 1. You can change the order by if something else determines the order.
SELECT *
FROM
(SELECT PT.F_PRO AS F_PRODUCT, PT.F_TEXT_CODE AS F_TEXT_CODE, PHT.F_PHRASE AS F_PHRASE, ROW_NUMBER() OVER (PARTITION BY PT.F_PRO ORDER BY PHT.F_PHRASE ASC) AS RowNum
FROM T_PROD_TEXT PT
LEFT JOIN T_P_LINKAGE PHL
ON PT.F_TEXT_CODE = PHL.F_TEXT_CODE
INNER JOIN T_P_TRANSLATIONS PHT
ON PHL.F_PHRASE_ID = PHT.F_PHRASE_ID
WHERE PT.F_DATA_CODE = 'MANU' AND PHT.F_LANGUAGE = 'EN') dt
WHERE RowNum = 1
SELECT PT.F_PRO AS F_PRODUCT,
MIN(PT.F_TEXT_CODE) AS F_TEXT_CODE,
MIN(PHT.F_PHRASE) AS F_PHRASE FROM T_PROD_TEXT PT
LEFT JOIN T_P_LINKAGE PHL
ON PT.F_TEXT_CODE = PHL.F_TEXT_CODE
INNER JOIN T_P_TRANSLATIONS PHT
ON PHL.F_PHRASE_ID = PHT.F_PHRASE_ID
WHERE PT.F_DATA_CODE = 'MANU' AND PHT.F_LANGUAGE = 'EN'
group By PT.F_PRO;
is one way to do that. It doesn't do it for the "FIRST" since it is vague how would you define the "FIRST".
I need to select some settings from some joined tables, but only if Items ORDER BY EndTime DESC ItemID is among first 1000 Items.
Do do this I built the following Query that, although surely can be improved, works:
SELECT ss.ModuleCode, ss.MaxItems , w.*
FROM Subscriptions ss
JOIN Sellers s ON s.UID=ss.UID
JOIN Items i ON s.UserID=i.UserID
JOIN Items ii ON i.ItemID=ii.ItemID
JOIN Modules mo ON ss.ModuleCode=mo.ModuleCode
JOIN Settings w ON w.UID=s.UID AND ss.ModuleCode=w.WCode
FULL JOIN GoogleFonts f ON f.FontCode=a.FontFamily
JOIN ( SELECT
ItemID
FROM Items
WHERE UserID=#UserID
ORDER BY EndTime DESC
OFFSET 0 ROWS
FETCH FIRST (1000) ROWS ONLY
) it ON it.ItemID=i.ItemID
WHERE it.ItemID=#ItemID
AND .....
but since MaxItems is not always 1000 and its value is defined by ss.MaxItems,
I would replace the fixed value of 1000 with the dynamic value of ss.MaxItems, but I haven't find a way to do it:
Although not optimal since makes the query much heavier, I tried putting instead of 1000 a further query with this result:
SELECT ss.ModuleCode, ss.MaxItems , w.*
FROM Subscriptions ss
JOIN Sellers s ON s.UID=ss.UID
JOIN Items i ON s.UserID=i.UserID
JOIN Items ii ON i.ItemID=ii.ItemID
JOIN Modules mo ON ss.ModuleCode=mo.ModuleCode
JOIN Settings w ON w.UID=s.UID AND ss.ModuleCode=w.WCode
FULL JOIN GoogleFonts f ON f.FontCode=a.FontFamily
JOIN ( SELECT
ItemID
FROM Items
WHERE UserID=#UserID
ORDER BY EndTime DESC
OFFSET 0 ROWS
FETCH FIRST ( SELECT ss.MaxItems
FROM Subscriptions ss
JOIN Sellers s ON s.UID=ss.UID
JOIN Items i ON s.UserID=i.UserID
JOIN Modules mo ON ss.ModuleCode=mo.ModuleCode
JOIN Settings w ON w.UID=s.UID AND ss.ModuleCode=w.WCode
WHERE i.ItemID=#ItemID) ROWS ONLY
) it ON it.ItemID=i.ItemID
Where it.ItemID=#ItemID
AND .....
but since this returns more than 1 value it is not accepted: limiting to TOP 1 result the latest subquery will work but will not be fully dynamic as required.
Can suggest how to solve or at least suggest the path for the solution?
Thanks!
Instead of fetch use row_number:
JOIN (SELECT ItemID, ROW_NUMBER() OVER (PARTITION BY UserID ORDER BY EndTime) as seqnum
FROM Items it
WHERE UserID = #UserID
) it
ON it.ItemID = i.ItemID AND seqnum <= ss.maxitems
I want to do a similiar thing like this guy:
T-SQL Subquery Max(Date) and Joins
I have to do this with an n:m relation.
So the layout is:
tbl_Opportunity
tbl_Opportunity_tbl_OpportunityData
tbl_OpportunityData
So as you see there is an intersection table which connects opportunity with opportunitydata.
For every opportunity there are multiple opportunity datas. In my view i only want a list with all opportunites and the data from the latest opportunity datas.
I tried something like this:
SELECT
dbo.tbl_Opportunity.Id, dbo.tbl_Opportunity.Subject,
dbo.tbl_User.UserName AS Responsible, dbo.tbl_Contact.Name AS Customer,
dbo.tbl_Opportunity.CreationDate, dbo.tbl_Opportunity.ActionDate AS [Planned Closure],
dbo.tbl_OpportunityData.Volume,
dbo.tbl_OpportunityData.ChangeDate, dbo.tbl_OpportunityData.Chance
FROM
dbo.tbl_Opportunity
INNER JOIN
dbo.tbl_User ON dbo.tbl_Opportunity.Creator = dbo.tbl_User.Id
INNER JOIN
dbo.tbl_Contact ON dbo.tbl_Opportunity.Customer = dbo.tbl_Contact.Id
INNER JOIN
dbo.tbl_Opprtnty_tbl_OpprtnityData ON dbo.tbl_Opportunity.Id = dbo.tbl_Opprtnty_tbl_OpprtnityData.Id
INNER JOIN
dbo.tbl_OpportunityData ON dbo.tbl_Opprtnty_tbl_OpprtnityData.Id2 = dbo.tbl_OpportunityData.Id
The problem is my view now includes a row for every opportunity data, since I don't know how to filter that I only want the latest data.
Can you help me? is my problem description clear enough?
thank you in advance :-)
best wishes,
laurin
; WITH Base AS (
SELECT dbo.tbl_Opportunity.Id, dbo.tbl_Opportunity.Subject, dbo.tbl_User.UserName AS Responsible, dbo.tbl_Contact.Name AS Customer,
dbo.tbl_Opportunity.CreationDate, dbo.tbl_Opportunity.ActionDate AS [Planned Closure], dbo.tbl_OpportunityData.Volume,
dbo.tbl_OpportunityData.ChangeDate, dbo.tbl_OpportunityData.Chance
FROM dbo.tbl_Opportunity INNER JOIN
dbo.tbl_User ON dbo.tbl_Opportunity.Creator = dbo.tbl_User.Id INNER JOIN
dbo.tbl_Contact ON dbo.tbl_Opportunity.Customer = dbo.tbl_Contact.Id INNER JOIN
dbo.tbl_Opprtnty_tbl_OpprtnityData ON dbo.tbl_Opportunity.Id = dbo.tbl_Opprtnty_tbl_OpprtnityData.Id INNER JOIN
dbo.tbl_OpportunityData ON dbo.tbl_Opprtnty_tbl_OpprtnityData.Id2 = dbo.tbl_OpportunityData.Id
)
, OrderedByDate AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY Id ORDER BY ChangeDate DESC) RN FROM Base
)
SELECT * FROM OrderedByDate WHERE RN = 1
To make it more readable I'm using CTE (the WITH part). In the end the real "trick" is doing a ROW_NUMBER() partitioning the data by tbl_Opportunity.Id and ordering the partitions by ChangeDate DESC (and I call it RN). Clearly the maximum date in each partition will be RN = 1 and then we filter it by RN.
Without using CTE it will be something like this:
SELECT * FROM (
SELECT dbo.tbl_Opportunity.Id, dbo.tbl_Opportunity.Subject, dbo.tbl_User.UserName AS Responsible, dbo.tbl_Contact.Name AS Customer,
dbo.tbl_Opportunity.CreationDate, dbo.tbl_Opportunity.ActionDate AS [Planned Closure], dbo.tbl_OpportunityData.Volume,
dbo.tbl_OpportunityData.ChangeDate, dbo.tbl_OpportunityData.Chance,
ROW_NUMBER() OVER (PARTITION BY dbo.tbl_Opportunity.Id ORDER BY dbo.tbl_OpportunityData.ChangeDate DESC) RN
FROM dbo.tbl_Opportunity INNER JOIN
dbo.tbl_User ON dbo.tbl_Opportunity.Creator = dbo.tbl_User.Id INNER JOIN
dbo.tbl_Contact ON dbo.tbl_Opportunity.Customer = dbo.tbl_Contact.Id INNER JOIN
dbo.tbl_Opprtnty_tbl_OpprtnityData ON dbo.tbl_Opportunity.Id = dbo.tbl_Opprtnty_tbl_OpprtnityData.Id INNER JOIN
dbo.tbl_OpportunityData ON dbo.tbl_Opprtnty_tbl_OpprtnityData.Id2 = dbo.tbl_OpportunityData.Id
) AS Base WHERE RN = 1
The statement can be simplified for one more step further:
SELECT TOP 1 WITH TIES
dbo.tbl_Opportunity.Id, dbo.tbl_Opportunity.Subject, dbo.tbl_User.UserName AS Responsible,
dbo.tbl_Contact.Name AS Customer, dbo.tbl_Opportunity.CreationDate,
dbo.tbl_Opportunity.ActionDate AS [Planned Closure], dbo.tbl_OpportunityData.Volume,
dbo.tbl_OpportunityData.ChangeDate, dbo.tbl_OpportunityData.Chance
FROM
dbo.tbl_Opportunity INNER JOIN
dbo.tbl_User ON dbo.tbl_Opportunity.Creator = dbo.tbl_User.Id INNER JOIN
dbo.tbl_Contact ON dbo.tbl_Opportunity.Customer = dbo.tbl_Contact.Id INNER JOIN
dbo.tbl_Opprtnty_tbl_OpprtnityData ON dbo.tbl_Opportunity.Id = dbo.tbl_Opprtnty_tbl_OpprtnityData.Id INNER JOIN
dbo.tbl_OpportunityData ON dbo.tbl_Opprtnty_tbl_OpprtnityData.Id2 = dbo.tbl_OpportunityData.Id
ORDER BY
ROW_NUMBER() OVER (PARTITION BY dbo.tbl_Opportunity.Id ORDER BY dbo.tbl_OpportunityData.ChangeDate DESC);