I've seen this post which almost coincides with my question but my specific problem is that I need to put a limit to the third table/query, as in LIMIT 15, for example. Is there an easy way to achieve this? Thanks!
EDIT
My SQL SELECT statement would look something like this:
SELECT t2.name AS user_name, t3.name AS artist_name
FROM tbl1 t1
INNER JOIN tbl2 t2 ON t1.t1able_id = t2.id
INNER JOIN (SELECT * FROM tbl3 WHERE artist_id = 100 limit 15) t3
ON t2.id = t3.artist_id
WHERE t1.kind = 'kind'
To clarify: It's just a matter of joining two tables but the second table has two states. First state as a "common user" and the next state as an "artist" (both using the same table, e.g. users).
Try this query:
select *
from
tableA a
inner join
tableB b
on a.common = b.common
inner join
(select * from tableC order by some_column limit 15) c
on b.common = c.common
Few days ago I searched for such answer and Postgresql provides to do it smoothly with rank().
My goal was to get last 3 submitted annual report files before commercial firm got started its first insolvency process.
SELECT * FROM
(
SELECT r.id, f.id AS id_file, f.file_date, min(p.process_started) AS "first_process_started",
rank() OVER (PARTITION BY r.id ORDER BY f.file_date DESC) AS "rank"
FROM registry r
INNER JOIN files f ON (r.id = f.id_registry)
INNER JOIN processes p ON (r.id = p.id_registry)
WHERE
r.type = 'LIMITED_LIABILITY_COMPANY'
AND f.file_type = 'ANNUAL_REPORT')
AND p.process_type = ('INSOLVENCY')
GROUP BY r.id, f.id, f.file_date
HAVING f.file_date <= min(p.process_started)
) AS ranked_files
WHERE rank <= 3
Related
I have following query not working when I try to join all 4 tables (It is taking over an hour to run, I have to eventually kill the query without any data being returned).
It works when Table 1,2 & 3 are joined AND Then If I try Table 1,2 & 4 join but not when I attempt to join all 4 tables below.
Select * From
(Select
R.ID, R.MId, R.RId, R.F_Name, R.F_Value, FE.FullEval, M.Name, RC.CC
FROM Table1 as R
Inner Join Table2 FE
ON R.ID = FE.RClId and R.MId = FE.MId and R.RId = FE.RId
Inner Join Table3 as M
ON R.MId = M.MId and FE.MId = M.MId
Inner Join Table4 as RC
ON R.RId = RC.RId and FE.RId = RC.RId and FE.Date = RC.Date
) AS a
NOTE:
1) RId is not available in table3.
2) MId is not available in table4.
Thanks for help.
Since you mentioned that you don't have permission to view the query plan, try breaking down into each table join. You can also check which table join is taking time to retrieve records. From there, you can investigate the data why it's taking time. It may be because of non-availability of column keys in Table 3 and Table 4?
WITH Tab1_2 AS
(SELECT r.ID, r.MId, r.RId, r.F_Name, r.F_Value, fe.FullEval, fe.date
FROM Table1 as r
INNER JOIN Table2 fe
ON r.ID = fe.RClId
AND r.MId = fe.MId
AND r.RId = fe.RId
WHERE ... -- place your conditions if any
),
Tab12_3 AS
(SELECT t12.*, m.Name
FROM Tab1_2 t12
INNER JOIN Table3 as m
ON t12.MId = m.MId
WHERE ... -- place your conditions if any
),
Tab123_4 AS
(SELECT t123.ID, t123.MId, t123.RId, t123.F_Name, t123.F_Value, t123.FullEval, rc.CC
FROM Tab12_3 t123
INNER JOIN Table4 as rc
ON t123.RId = rc.RId
AND t123.Date = rc.Date
WHERE ... -- place your conditions if any
)
SELECT *
FROM Tab123_4 t1234
I want to limit the results in a lateral join, so that it only returns the N most recent matches.
This is my query, but the limit inside the join does not seem to work, as it returns all visitors
select am.id, am.title, ame.event, array_agg(row_to_json(visitors))
from auto_messages am
left join apps a on am.app_id = a.id
left join app_users au on a.id = au.app_id
left join auto_message_events ame on ame.auto_message_id = am.id
left join lateral (
select
id,
name,
avatar,
ame.inserted_at
from visitors v
where v.id = ame.visitor_id
order by ame.inserted_at desc
limit 1
) as visitors on visitors.id = ame.visitor_id
where am.id = '100'
group by am.id, ame.event
I am pretty sure the problem is with ame. That is where the rows are generated. The join to visitors is only picking up additional information.
So, this might solve your problem:
select am.id, am.title, visitors.event, array_agg(row_to_json(visitors))
from auto_messages am left join
apps a
on am.app_id = a.id left join
app_users au
on a.id = au.app_id left join lateral
(select v.id, v.name, v.avatar,
ame.event, ame.inserted_at, ame.auto_message_id
from auto_message_events ame join
visitors v
on v.id = ame.visitor_id
order by ame.inserted_at desc
limit 1
) visitors
on visitors.auto_message_id = am.id
where am.id = '100'
group by am.id, visitors.event;
You also might want to change your select clause, if you only want a subset of columns.
I am trying to implement an inner join to compare values of two tables, however failing for some reason and the query is returning zero columns.
I have two tables security and security_his and trying to join them on columns SECURITY_ID and INVESTMENT_OBJECTIVE. Query is as follows
SELECT *
FROM SECURITY origin
INNER JOIN (
SELECT *
FROM SECURITY_HIS t2
WHERE DATED = (
SELECT MAX(DATED)
FROM SECURITY_HIS t1
WHERE t1.SECURITY_ID = t2.SECURITY_ID
)
) history ON origin.SECURITY_ID = history.SECURITY_ID
AND origin.INVESTMENT_OBJECTIVE = history.INVESTMENT_OBJECTIVE;
WITH cte as (
SELECT S.*,
row_number() over
(partition by S.SECURITY_ID ORDER BY SH.DATED DESC)
FROM SECURITY S
JOIN SECURITY_HIS SH
ON S.SECURITY_ID = SH.SECURITY_ID
AND S.INVESTMENT_OBJECTIVE = SH.INVESTMENT_OBJECTIVE
)
SELECT *
FROM cte
WHERE rn = 1
You have no GROUP BY on the innermost query, so only a single value, maxed over the entire table, is returned. However your query can also be simplified for easier understanding:
SELECT origin.*, history.Dated
FROM SECURITY origin
INNER JOIN (
SELECT
SECURITY_ID,
INVESTMENT_OBJECTIVE,
MaxDated = MAX(DATED)
FROM SECURITY_HIS t2
GROUP BY
SECURITY_ID,
INVESTMENT_OBJECTIVE
) history ON origin.SECURITY_ID = history.SECURITY_ID
AND origin.INVESTMENT_OBJECTIVE = history.INVESTMENT_OBJECTIVE
I have to do an self join on a table. I am trying to return a list of several columns to see how many of each type of drug test was performed on same day (MM/DD/YYYY) in which there were at least two tests done and at least one of which resulted in a result code of 'UN'.
I am joining other tables to get the information as below. The problem is I do not quite understand how to exclude someone who has a single result row in which they did have a 'UN' result on a day but did not have any other tests that day.
Query Results (Columns)
County, DrugTestID, ID, Name, CollectionDate, DrugTestType, Results, Count(DrugTestType)
I have several rows for ID 12345 which are correct. But ID 12346 is a single row of which is showing they had a row result of count (1). They had a result of 'UN' on this day but they did not have any other tests that day. I want to exclude this.
I tried the following query
select
c.desc as 'County',
dt.pid as 'PID',
dt.id as 'DrugTestID',
p.id as 'ID',
bio.FullName as 'Participant',
CONVERT(varchar, dt.CollectionDate, 101) as 'CollectionDate',
dtt.desc as 'Drug Test Type',
dt.result as Result,
COUNT(dt.dru_drug_test_type) as 'Count Of Test Type'
from
dbo.Test as dt with (nolock)
join dbo.History as h on dt.pid = h.id
join dbo.Participant as p on h.pid = p.id
join BioData as bio on bio.id = p.id
join County as c with (nolock) on p.CountyCode = c.code
join DrugTestType as dtt with (nolock) on dt.DrugTestType = dtt.code
inner join
(
select distinct
dt2.pid,
CONVERT(varchar, dt2.CollectionDate, 101) as 'CollectionDate'
from
dbo.DrugTest as dt2 with (nolock)
join dbo.History as h2 on dt2.pid = h2.id
join dbo.Participant as p2 on h2.pid = p2.id
where
dt2.result = 'UN'
and dt2.CollectionDate between '11-01-2011' and '10-31-2012'
and p2.DrugCourtType = 'AD'
) as derived
on dt.pid = derived.pid
and convert(varchar, dt.CollectionDate, 101) = convert(varchar, derived.CollectionDate, 101)
group by
c.desc, dt.pid, p.id, dt.id, bio.fullname, dt.CollectionDate, dtt.desc, dt.result
order by
c.desc ASC, Participant ASC, dt.CollectionDate ASC
This is a little complicated because the your query has a separate row for each test. You need to use window/analytic functions to get the information you want. These allow you to do calculate aggregation functions, but to put the values on each line.
The following query starts with your query. It then calculates the number of UN results on each date for each participant and the total number of tests. It applies the appropriate filter to get what you want:
with base as (<your query here>)
select b.*
from (select b.*,
sum(isUN) over (partition by Participant, CollectionDate) as NumUNs,
count(*) over (partition by Partitipant, CollectionDate) as NumTests
from (select b.*,
(case when result = 'UN' then 1 else 0 end) as IsUN
from base
) b
) b
where NumUNs <> 1 or NumTests <> 1
Without the with clause or window functions, you can create a particularly ugly query to do the same thing:
select b.*
from (<your query>) b join
(select Participant, CollectionDate, count(*) as NumTests,
sum(case when result = 'UN' then 1 else 0 end) as NumUNs
from (<your query>) b
group by Participant, CollectionDate
) bsum
on b.Participant = bsum.Participant and
b.CollectionDate = bsum.CollectionDate
where NumUNs <> 1 or NumTests <> 1
If I understand the problem, the basic pattern for this sort of query is simply to include negating or exclusionary conditions in your join. I.E., self-join where columnA matches, but columns B and C do not:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
and t1.PkId != t2.PkId
and t1.category != t2.category
)
Put the conditions in the WHERE clause if it benchmarks better:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
And it's often easiest to start with the self-join, treating it as a "base table" on which to join all related information:
select
[columns]
from
(select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
) bt
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
This can allow you to focus on getting that self-join right, without interference from other tables.
I have a query like this:
SELECT m...., a...., r....
FROM 0_member AS m
LEFT JOIN 0_area AS a ON a.user_id = (SELECT user_id
FROM `0_area`
WHERE user_id = m.id
ORDER BY sec_id ASC LIMIT 1)
LEFT JOIN 0_rank as r ON a.rank_id = r.id
WHERE m.login_userid = '$username'
The idea is to get the first row from 0_area table and hence the attempted inner join. However, it is not working as expected.
Between 0_area and 0_member, 0_member.id = 0_area.user_id. However, there are multiple rows of 0_area.user_id and I want the row having the lowest value of sec_id.
Any help please?
SELECT m...., a...., r....
FROM 0_member AS m
LEFT JOIN (SELECT user_id, min(sec_id) minsec
FROM `0_area`
GROUP BY user_id) g1 on g1.user_id=m.id
LEFT JOIN 0_area AS a ON a.user_id = g1.user_id and a.sec_id=minsec
LEFT JOIN 0_rank as r ON a.rank_id = r.id
WHERE m.login_userid = '$username'