I have a table like this:
score
id week status
1 1 0
2 1 1
3 1 0
4 1 0
1 2 0
2 2 1
3 2 0
4 2 0
1 3 1
2 3 1
3 3 1
4 3 0
I want to get all the id's of people who have a status of zero for all weeks except for week 3. something like this:
Result:
result:
id w1.status w2.status w3.status
1 0 0 1
3 0 0 1
I have this query, but it is terribly inefficient on larger datasets.
SELECT w1.id, w1.status, w2.status, w3.status
FROM
(SELECT s.id, s.status
FROM score s
WHERE s.week = 1) w1
LEFT JOIN
(SELECT s.id, s.status
FROM score s
WHERE s.week = 2) w2 ON w1.id=w2.id
LEFT JOIN
(SELECT s.id, s.status
FROM score s
WHERE s.week = 3) w3 ON w1.id=w3.id
WHERE w1.status=0 AND w2.status=0 AND w3.status=1
I am looking for a more efficient way to calculate the above.
select id
from score
where week in (1, 2, 3)
group by id
having sum(
case
when week in (1, 2) and status = 0 then 1
when week = 3 and status = 1 then 1
else 0
end
) = 3
Or more generically...
select id
from score
group by id
having
sum(case when status = 0 then 1 else 0 end) = count(*) - 1
and min(case when status = 1 then week else null end) = max(week)
You can do using not exists as
select
t1.id,
'0' as `w1_status` ,
'0' as `w2_status`,
'1' as `w3_status`
from score t1
where
t1.week = 3
and t1.status = 1
and not exists(
select 1 from score t2
where t1.id = t2.id and t1.week <> t2.week and t2.status = 1
);
For better performance you can add index in the table as
alter table score add index week_status_idx (week,status);
In case of static number of weeks (1-3), group_concat may be used as a hack..
Concept:
SELECT
id,
group_concat(status) as totalStatus
/*(w1,w2=0,w3=1 always!)*/
FROM
tableName
WHERE
totalStatus = '(0,0,1)' /* w1=0,w2=1,w3=1 */
GROUP BY
id
ORDER BY
week ASC
(Written on the go. Not tested)
SELECT p1.id, p1.status, p2.status, p3.status
FROM score p1
JOIN score p2 ON p1.id = p2.id
JOIN score p3 ON p2.id = p3.id
WHERE p1.week = 1
AND p1.status = 0
AND p2.week = 2
AND p2.status = 0
AND p3.week = 3
AND p3.status = 1
Try this, should work
Related
I have the following (simplified) database schema:
Persons:
[Id] [Name]
-------------------
1 'Peter'
2 'John'
3 'Anna'
Items:
[Id] [ItemName] [ItemStatus]
-------------------
10 'Cake' 1
20 'Dog' 2
ItemDocuments:
[Id] [ItemId] [DocumentName] [Date]
-------------------
101 10 'CakeDocument1' '2016-01-01 00:00:00'
201 20 'DogDocument1' '2016-02-02 00:00:00'
301 10 'CakeDocument2' '2016-03-03 00:00:00'
401 20 'DogDocument2' '2016-04-04 00:00:00'
DocumentProcessors:
[PersonId] [DocumentId]
-------------------
1 101
1 201
2 301
I have also set up an SQL fiddle to play with: http://www.sqlfiddle.com/#!3/e6082
The relation logic is the following: every Person can work on zero or infinite number of ItemDocuments (many-to-many); each ItemDocument belongs to exactly one Item (one-to-many). Item has status 1 - Active, 2 - Closed
What I need is a report that fulfills the following requirements:
for each person in Persons table, display count of Items that have ItemDocuments related to this person
the counts should be split in two columns by ItemStatus
the query should be filterable by two optional date periods (using two BETWEEN conditions on ItemDocuments.Date field) and the Item counts should also be split into two periods
if a Person does not have any ItemDocuments assigned, it still should be shown in the results with all count values set to 0
if a Person has more than one ItemDocument for an Item, the Item still should be counted only once
Essentially, here is how the results should look like if I use both periods to NULL (to read all the data):
[PersonName] [Active Items for period 1] [Closed Items for period 1] [Active Items for period 2] [Closed Items for period 2]
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
'Peter' 1 1 1 1
'John' 1 0 1 0
'Anna' 0 0 0 0
While I can create an SQL query for each requirement separately, I have a problem to understand how to combine all of them together into one.
For example, I can split ItemStatus counts in two columns using
COUNT(CASE WHEN t.ItemStatus = 1 THEN 1 ELSE NULL END) AS Active,
COUNT(CASE WHEN t.ItemStatus = 2 THEN 1 ELSE NULL END) AS Closed
and I can filter by two periods (with max/min date constants from MS SQL server specification to avoid NULLs for optional period dates) using
between coalesce(#start1, '1753-01-01') and coalesce(#end1, '9999-12-31')
between coalesce(#start2, '1753-01-01') and coalesce(#end2, '9999-12-31')
but how to combine all of this together, considering also JOINs between tables?
Is there any technique, join or MS SQL Server specific approach to do this in efficient way?
My first attempt seems to work as required but it looks like ugly subquery duplications multiple times:
DECLARE #start1 DATETIME, #start2 DATETIME, #end1 DATETIME, #end2 DATETIME
-- SET #start2 = '2017-01-01'
SELECT
p.Name,
(SELECT COUNT(1)
FROM Items i
WHERE i.ItemStatus = 1 AND EXISTS(
SELECT 1
FROM DocumentProcessors AS dcp
INNER JOIN ItemDocuments AS idc ON dcp.DocumentId = idc.Id
WHERE dcp.PersonId = p.Id AND idc.ItemId = i.Id
AND idc.Date BETWEEN COALESCE(#start1, '1753-01-01') AND COALESCE(#end1, '9999-12-31')
)
) AS Active1,
(SELECT COUNT(*)
FROM Items i
WHERE i.ItemStatus = 2 AND EXISTS(
SELECT 1
FROM DocumentProcessors AS dcp
INNER JOIN ItemDocuments AS idc ON dcp.DocumentId = idc.Id
WHERE dcp.PersonId = p.Id AND idc.ItemId = i.Id
AND idc.Date BETWEEN COALESCE(#start1, '1753-01-01') AND COALESCE(#end1, '9999-12-31')
)
) AS Closed1,
(SELECT COUNT(1)
FROM Items i
WHERE i.ItemStatus = 1 AND EXISTS(
SELECT 1
FROM DocumentProcessors AS dcp
INNER JOIN ItemDocuments AS idc ON dcp.DocumentId = idc.Id
WHERE dcp.PersonId = p.Id AND idc.ItemId = i.Id
AND idc.Date BETWEEN COALESCE(#start2, '1753-01-01') AND COALESCE(#end2, '9999-12-31')
)
) AS Active2,
(SELECT COUNT(*)
FROM Items i
WHERE i.ItemStatus = 2 AND EXISTS(
SELECT 1
FROM DocumentProcessors AS dcp
INNER JOIN ItemDocuments AS idc ON dcp.DocumentId = idc.Id
WHERE dcp.PersonId = p.Id AND idc.ItemId = i.Id
AND idc.Date BETWEEN COALESCE(#start2, '1753-01-01') AND COALESCE(#end2, '9999-12-31')
)
) AS Closed2
FROM Persons p
I'm not absolutely sure if I really got what you want, but you might try this
WITH AllData AS
(
SELECT p.Id AS PersonId
,p.Name AS Person
,id.Date AS DocDate
,id.DocumentName AS DocName
,i.ItemName AS ItemName
,i.ItemStatus AS ItemStatus
,CASE WHEN id.Date BETWEEN COALESCE(#start1, '1753-01-01') AND COALESCE(#end1, '9999-12-31') THEN 1 ELSE 0 END AS InPeriod1
,CASE WHEN id.Date BETWEEN COALESCE(#start2, '1753-01-01') AND COALESCE(#end2, '9999-12-31') THEN 1 ELSE 0 END AS InPeriod2
FROM Persons AS p
LEFT JOIN DocumentProcessors AS dp ON p.Id=dp.PersonId
LEFT JOIN ItemDocuments AS id ON dp.DocumentId=id.Id
LEFT JOIN Items AS i ON id.ItemId=i.Id
)
SELECT PersonID
,Person
,COUNT(CASE WHEN ItemStatus = 1 AND InPeriod1 = 1 THEN 1 ELSE NULL END) AS ActiveIn1
,COUNT(CASE WHEN ItemStatus = 2 AND InPeriod1 = 1 THEN 1 ELSE NULL END) AS ClosedIn1
,COUNT(CASE WHEN ItemStatus = 1 AND InPeriod2 = 1 THEN 1 ELSE NULL END) AS ActiveIn2
,COUNT(CASE WHEN ItemStatus = 2 AND InPeriod2 = 1 THEN 1 ELSE NULL END) AS ClosedIn2
FROM AllData
GROUP BY PersonID,Person
I am trying to add index in datetime, but the result still same.
SELECT s.id, s.player,
COUNT(case when dg.winner = 1 AND dp.colour <= 5 then 1 when dg.winner = 2 AND dp.colour > 5 then 1 else null end) as totalwin,
COUNT(case when dg.winner = 2 AND dp.colour <= 5 then 1 when dg.winner = 1 AND dp.colour > 5 then 1 else null end) as totallose,
COUNT(dg.winner) as totalgames
FROM dotaplayers AS dp
LEFT JOIN gameplayers AS gp ON gp.gameid = dp.gameid and dp.colour = gp.colour
LEFT JOIN stats AS s ON s.player_lower = gp.name
LEFT JOIN dotagames AS dg ON dg.gameid = dp.gameid
LEFT JOIN games AS g ON g.id = dp.gameid
LEFT JOIN bans as b ON b.name=gp.name
WHERE MONTH(g.datetime) = 4
GROUP by gp.name
ORDER BY totalwin DESC LIMIT 0,10
Showing rows 0 - 9 (10 total, Query took 7.7552 seconds.)
I want order the most winner in 4th month (April). Then it shows id, username, totalwins, totallose, totaldraw, totalgames. The case in my query is the how to get that. The result is correct, but slow.
Assuming g.datetime is indexed, try this instead:
WHERE g.`datetime` BETWEEN 20150401 AND 20150430`
Using the MONTH function, or any other function, on the field data in the WHERE eliminates the benefits of any indexes you might have on those fields; this results in the query requiring a full scan of the values in the table.
Rearranging the order of JOINs will probably help as well:
SELECT s.id, s.player
, SUM(case
when dg.winner = 1 AND dp.colour <= 5 then 1
when dg.winner = 2 AND dp.colour > 5 then 1
else 0
end
) as totalwin
, SUM(case
when dg.winner = 2 AND dp.colour <= 5 then 1
when dg.winner = 1 AND dp.colour > 5 then 1
else 0
end
) as totallose
, COUNT(dg.winner) as totalgames -- Not, sure of the nature of dg.`winner`, a SUM might be more appropriate here as well.
FROM games AS g
INNER JOIN dotaplayers AS dp ON g.id = dp.gameid
LEFT JOIN gameplayers AS gp ON gp.gameid = dp.gameid and dp.colour = gp.colour
LEFT JOIN stats AS s ON s.player_lower = gp.name
LEFT JOIN dotagames AS dg ON dg.gameid = dp.gameid
LEFT JOIN bans as b ON b.name=gp.name
WHERE g.`datetime` BETWEEN 20150401000000 AND 20150430235959
GROUP by gp.name
ORDER BY totalwin DESC
LIMIT 0,10
;
Another thing to note: Depending on the relationship between tables, some of the intermediate joins may result in effectively multiplying the resulting totals; this can be resolved by doing the sums in subqueries and joining those instead.
Need to check in where case that if not found where type='P' then it take record of type='C'
here is table
paper_id | product_id | type
1 1 P
2 1 P
3 1 C
4 1 C
5 2 C
6 2 C
There is product_id 1 and 2, need to get those record that have type='P' but those product who have not type='P' the record get from record type='C'
after query need this result
paper_id | product_id | type
1 1 P
2 1 P
5 2 C
6 2 C
i try
select * from table where CASE WHEN type !='P' THEN type='C' ELSE type='P'END
but not working
select paper_id, product_id, type from your_tab
where type = 'P'
union all
select t1.paper_id, t1.product_id, t1.type from your_tab t1
where t1.type = 'C'
and not exists (select 1 from your_tab t2
where t2.product_id = t1.product_id and t2.type = 'P');
maybe this will help
SELECT DISTINCT T.PRODUCT_ID, T.PAPER_ID, T.TYPE
FROM YOUR_TABLE T
WHERE (CASE
WHEN T.TYPE = 'P' THEN
'TRUE'
WHEN T.TYPE != 'P' THEN
(CASE
WHEN (SELECT COUNT(*)
FROM YOUR_TABLE T2
WHERE T2.PRODUCT_ID = T.PRODUCT_ID
AND T2.TYPE = 'P') = 0 THEN
'TRUE'
ELSE
'FALSE'
END)
END) = 'TRUE'
how can I achieve the desired result in mysql if my table looks like this.
result|year
1 |2011
2 |2011
1 |2011
0 |2011
1 |2012
2 |2012
1 = Won, 2 = lost, 0 = draw
Every year can have multiple values like this. Not sure how I can get the desired result like below.
year won lost draw totalPlayed
2011 2 1 1 3
2012 1 1 0 2
I have tried the following query but does not get the desired result
select year,
league_types.league_name,
sum(if(result = 1,1,0)) as won,
sum(if(result = 0,1,0)) as draw,
sum(if(result = 4,1,0)) as noResult,
sum(if(result = 2,1,0)) as lost,
sum(if(result = 3,1,0)) as tied,
sum(if(result > 0 and result < 4,1,0)) as played
from match_score_card
inner join fixtures on match_score_card.match_id = fixtures.match_id
inner join league_types on fixtures.league_id = league_types.league_id
where
team_id = 1 group by year order by year desc
Here is the SQL Fiddle that demonstrates the following query:
SELECT m.year,
SUM(CASE WHEN m.result = 1 THEN 1 ELSE 0 END) AS 'Won',
SUM(CASE WHEN m.result = 2 THEN 1 ELSE 0 END) AS 'Lost',
SUM(CASE WHEN m.result = 0 THEN 1 ELSE 0 END) AS 'Draw',
COUNT(*) AS 'TotalPlayed'
FROM MyTable AS m
GROUP BY m.year
I'm not familiar with that IF function in mySQL, but this standard SQL should work:
select year
, league_types.league_name
, sum(CASE WHEN result = 1 THEN 1 ELSE 0 END) as won
, sum(CASE WHEN result = 2 THEN 1 ELSE 0 END) as lost
, sum(CASE WHEN result = 3 THEN 1 ELSE 0 END) as draw
, sum(CASE WHEN result = 4 THEN 1 ELSE 0 END) as noResult
, sum(CASE WHEN result = 1
or result = 2 THEN 1 ELSE 0 END) as played
from match_score_card
inner join fixtures
on match_score_card.match_id = fixtures.match_id
inner join league_types
on fixtures.league_id = league_types.league_id
where team_id = 1
group by year, league_types.league_name
order by year desc, league_types.league_name
I'm guessing that you only want to count wins and losses as "played".
I have tables table_one, table_two, table_three, table_four all structure is about same.
it has columns id, name, status, user_id.
i.g. i have user John with user_id 345 in every table multiple times except table_four. and status for some entrys is 1 and other entry's is 0
Now i need to count with one query how many times status for this user was 1 in each of this tables.
So i do:
SELECT table_one.user_id,
SUM(CASE WHEN table_one.status = 1 THEN 1 ELSE 0 END) AS count_tblone
SUM(CASE WHEN table_two.status = 1 THEN 1 ELSE 0 END) AS count_tbltwo
SUM(CASE WHEN table_three.status = 1 THEN 1 ELSE 0 END) AS count_tblthree
SUM(CASE WHEN table_four.status = 1 THEN 1 ELSE 0 END) AS count_tblfour
FROM table_one
LEFT JOIN table_one ON table_one.user_id = table_one.user_id
LEFT JOIN table_two ON table_two.user_id = table_one.user_id
LEFT JOIN table_three ON table_three.user_id = table_one.user_id
LEFT JOIN table_four ON table_four.user_id = table_one.user_id
WHERE tbl_one.user_id = 345
Problem is that request outputs 4, 0, 0, 0 when it should be 2, 1, 1, 0
IF i just leave SUM(CASE WHEN table_one.status = 1 THEN 1 ELSE 0 END) AS count_tblone - count_tblone will equal 4 even if in table_one - status field equals 1 in only two records for user 345.
It's a lot more typing, but I'd recommend UNION, especially if user might not be in table_one.
SELECT
SUM(count_tblone) AS count_tblone,
SUM(count_tbltwo) AS count_tbltwo,
SUM(count_tblthree) AS count_tblthree,
SUM(count_tblfour) AS count_tblfour
FROM (
SELECT
SUM(CASE WHEN table_one.status = 1 THEN 1 ELSE 0 END) AS count_tblone,
0 AS count_tbltwo,
0 AS count_tblthree,
0 AS count_tblfour
FROM table_one
WHERE tbl_one.user_id = 345
UNION
SELECT
0 AS count_tblone,
SUM(CASE WHEN table_two.status = 1 THEN 1 ELSE 0 END) AS count_tbltwo,
0 AS count_tblthree,
0 AS count_tblfour
FROM table_two
WHERE tbl_one.user_id = 345
UNION
... tables 3 and 4 ...
) AS tblMyUnionedTables