Mysql Fetching rows base on date - mysql

Here's the code:
SELECT RD.INTREQDQUANTITY, I.strItemName, v.strVendName, iu.strItemUnitName,
ip.dblItemPAmount, MAX(ip.dtmItemPasOf) AS EXR
FROM TBLREQUESTDETAILS RD,tblitem I,tblvendor v,tblitemunit iu,tblitemprice ip`
WHERE RD.strReqDItemCode = I.strItemCode
AND RD.strReqDItemUnitCode = iu.strItemUnitCode
AND RD.strReqDVendCode = v.strVendCode
AND i.strItemCode = ip.strItemPItemCode
and RD.strReqDReqHCode = 'RQST121'
GROUP BY RD.INTREQDQUANTITY,I.strItemName,v.strVendName,iu.strItemUnitName, ip.dblItemPAmount
ORDER BY EXR desc ;
AND Here's The result:
What should I do If I want to fetch the current price for each itemname,vendorname and itemunit?? I want to fetch only those rows who's price is the Latest... Help me please those with boxes are the rows that i want to fetch

You can use where in the grouped value (and use explicict join notatio)
SELECT RD.INTREQDQUANTITY, I.strItemName, v.strVendName, iu.strItemUnitName,
ip.dblItemPAmount, ip.dtmItemPasOf AS EXR
FROM TBLREQUESTDETAILS RD
INNER JOIN tblitem I ON RD.strReqDItemCode = I.strItemCode
INNER JOIN tblvendor v ON D.strReqDVendCode = v.strVendCode
INNER JOIN tblitemunit iu ON RD.strReqDItemUnitCode = iu.strItemUnitCode
INNER JOIN tblitemprice ip ON i.strItemCode = ip.strItemPItemCode
WHERE RD.strReqDReqHCode = 'RQST121'
and ( RD.INTREQDQUANTITY, I.strItemName, v.strVendName, iu.strItemUnitName, ip.dtmItemPasOf)
in ( SELECT RD.INTREQDQUANTITY, I.strItemName, v.strVendName, iu.strItemUnitName,
MAX(ip.dtmItemPasOf)
FROM TBLREQUESTDETAILS RD
INNER JOIN tblitem I ON RD.strReqDItemCode = I.strItemCode
INNER JOIN tblvendor v ON D.strReqDVendCode = v.strVendCode
INNER JOIN tblitemunit iu ON RD.strReqDItemUnitCode = iu.strItemUnitCode
INNER JOIN tblitemprice ip ON i.strItemCode = ip.strItemPItemCode
WHERE RD.strReqDReqHCode = 'RQST121'
GROUP BY RD.INTREQDQUANTITY,I.strItemName,v.strVendName,iu.strItemUnitName
)
ORDER BY EXR desc ;
(and use explicict join notation .. i think is more readable)

Related

mysql inner join return null value,

SELECT `mpeda_fish`.`id`, `mpeda_fish`.`fish` as analysis, sum(mpeda_fishdetails.quantity) as qty
FROM (`mpeda_fishdetails`)
INNER JOIN `mpeda_scientificfish` ON `mpeda_scientificfish`.`id` = `mpeda_fishdetails`.`scientificfish`
INNER JOIN `mpeda_fish` ON `mpeda_fish`.`id` = `mpeda_scientificfish`.`fish`
INNER JOIN `mpeda_fishcatch` ON `mpeda_fishcatch`.`id` = `mpeda_fishdetails`.`fishcatch`
INNER JOIN `mpeda_harbour` ON `mpeda_harbour`.`id` = `mpeda_fishcatch`.`harbour`
WHERE `mpeda_fishcatch`.`status` = 1
ORDER BY `mpeda_fishdetails`.`id` ASC
this query gets 2 columns null value and one column gets data inside why?
You use the SUM() function. In order to get meaningful results you should have a group by clause.
SELECT `mpeda_fish`.`id`, `mpeda_fish`.`fish` as analysis, sum(mpeda_fishdetails.quantity) as qty
FROM (`mpeda_fishdetails`)
INNER JOIN `mpeda_scientificfish` ON `mpeda_scientificfish`.`id` = `mpeda_fishdetails`.`scientificfish`
INNER JOIN `mpeda_fish` ON `mpeda_fish`.`id` = `mpeda_scientificfish`.`fish`
INNER JOIN `mpeda_fishcatch` ON `mpeda_fishcatch`.`id` = `mpeda_fishdetails`.`fishcatch`
INNER JOIN `mpeda_harbour` ON `mpeda_harbour`.`id` = `mpeda_fishcatch`.`harbour`
WHERE `mpeda_fishcatch`.`status` = 1
GROUP BY `mpeda_fish`.`id`, `mpeda_fish`.`fish`
ORDER BY `mpeda_fishdetails`.`id` ASC

slow query with joins

Please am having difficulty in optimizing this query. What am trying to achieve is to join about 8 tables, of which only about 3 of the tables contains large data (1.5m records). This query returns expected records but is taking 1min to run which is bad.
I know it can be optimized to perform far better, pls i need assistance from you experts. I have index on the fields used for join already.
SELECT topic_id,
topic_title,
unit_name_abbrev,
sch_name_abbrev,
picture_small_url AS thumbnail,
profile_pix_upload_path,
first_name,
last_name,
topic_poster,
topic_replies,
topic_views,
topic_last_post_time AS topic_post_time,
sch_sub_forum_id
FROM (_sch_forum_topics
INNER JOIN _users
ON ( _users.userid = _sch_forum_topics.topic_poster )
INNER JOIN _profile
ON _profile.userid = _users.userid
INNER JOIN _class
ON _users.classid = _class.classid
INNER JOIN _level
ON _class.level_id = _level.id
INNER JOIN _unit
ON _class.unitid = _unit.unitid
INNER JOIN _department
ON _unit.deptid = _department.deptid
INNER JOIN _faculty
ON _department.facid = _faculty.facid
INNER JOIN _university
ON _faculty.schid = _university.schid)
WHERE _sch_forum_topics.sch_sub_forum_id = 4
ORDER BY _sch_forum_topics.topic_last_post_time DESC
LIMIT 0, 15
Try to filter before making JOIN's.
SELECT topic_id,
topic_title,
unit_name_abbrev,
sch_name_abbrev,
picture_small_url AS thumbnail,
profile_pix_upload_path,
first_name,
last_name,
topic_poster,
topic_replies,
topic_views,
topic_last_post_time AS topic_post_time,
sch_sub_forum_id
FROM
( select * FROM sch_forum_topics WHERE sch_sub_forum_id = 4
ORDER BY topic_last_post_time DESC
LIMIT 0, 15 ) main
INNER JOIN _users
ON ( _users.userid = main.topic_poster )
INNER JOIN _profile
ON _profile.userid = _users.userid
INNER JOIN _class
ON _users.classid = _class.classid
INNER JOIN _level
ON _class.level_id = _level.id
INNER JOIN _unit
ON _class.unitid = _unit.unitid
INNER JOIN _department
ON _unit.deptid = _department.deptid
INNER JOIN _faculty
ON _department.facid = _faculty.facid
INNER JOIN _university
ON _faculty.schid = _university.schid);

Speeding up MySQL Query inc subquery-join?

I've got the query below that's pulling data from a number of tables to create an update:
UPDATE en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down pd1
INNER JOIN email.papr_data pd2 on pd1.paper_id = pd2.id
INNER JOIN email.papr_subj ps on ps.id = pd2.subject
INNER JOIN email.papr_exam pe on pe.id = pd2.exam
INNER JOIN email.papr_levl pl on pl.id = pd2.level
WHERE pd2.exam = 1
and pd2.level = 4
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
SET sd.data = ifnull(downs.NumDowns,1)
WHERE sd.fieldid = 33;
It works fine but when there are plenty of records in papr_down then it takes ages to process. Any ideas about how it can be optimized?
What I think is the join between the emailAddress is the issue here, you can try out with the join with the Id's.
If you provide us the screen shot of the below query ::
EXPLAIN Select * from
en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down pd1
INNER JOIN email.papr_data pd2 on pd1.paper_id = pd2.id
INNER JOIN email.papr_subj ps on ps.id = pd2.subject
INNER JOIN email.papr_exam pe on pe.id = pd2.exam
INNER JOIN email.papr_levl pl on pl.id = pd2.level
WHERE pd2.exam = 1
and pd2.level = 4
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
WHERE sd.fieldid = 33
As I know we should use joins only for the columns which are preset in SELECT clause and for other joins we should implement using WHERE clause
Please try following query:
UPDATE en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls
on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down AS pd1
INNER JOIN email.papr_data AS pd2 on pd1.paper_id = pd2.id
WHERE
email.papr_exam.id in (select exam from email.papr_data where exam = 1)
AND
email.papr_levl.id in (select level from email.papr_data where level = 4 )
AND
email.papr_subj.id in (select subject from email.papr_data)
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
SET sd.data = ifnull(downs.NumDowns,1)
WHERE sd.fieldid = 33;
I can not execute this at my machine since i don't have the schema

Getting the latest date from a id

I run the above sql statement and i got this.[IMG]http://i1093.photobucket.com/albums/i422/walkgirl_1993/asd-1_zps5506632e.jpg[/IMG] i'm trying display the latest date which you can see the 3 and 4. For caseid 3, it should display the latest row which is the 2012-12-20 16:12:36.000. I tried using group by, order by. Google some website said to use rank but i'm not sure about the rank as i dont really get rank. Some suggestions?
select [Case].CaseID, Agent.AgentName, Assignment.Description, A.AgentName as EditedBy, A.DateEdited from Agent inner join [Case-Agent] on [Case-Agent].AgentID = Agent.AgentID inner join [Assignment] on Assignment.AssignmentID = [Case-Agent].AssignmentID inner join [Case] on [Case].CaseID = [Case-Agent].CaseID inner join (select EditedCase.CaseID, [EditedCase].DateEdited, [Agent].AgentName from EditedCase inner join [Agent] on [Agent].AgentID = [EditedCase].AgentID) A on A.CaseID = [Case].CaseID where [Assignment].AssignmentID = 0
To do it using RANK you just need to add the RANK to the subquery and get to rank the DateEdited for each CaseID and Agent and then in the main query put a WHERE clause to only select rows where the rank is 1. I think I have got the partition clause right - its a bit hard without seeing your data.
Like this:
SELECT
[Case].CaseID
,Agent.AgentName
,Assignment.Description
,A.AgentName AS EditedBy
,A.DateEdited
FROM Agent
INNER JOIN [Case-Agent] ON [Case-Agent].AgentID = Agent.AgentID
INNER JOIN [Assignment] ON Assignment.AssignmentID = [Case-Agent].AssignmentID
INNER JOIN [Case] ON [Case].CaseID = [Case-Agent].CaseID
INNER JOIN (SELECT
EditedCase.CaseID
,[EditedCase].DateEdited
,[Agent].AgentName
,RANK ( ) OVER (PARTITION BY EditedCase.CaseID, [Agent].AgentName
ORDER BY [EditedCase].DateEdited DESC ) AS pos
FROM EditedCase
INNER JOIN [Agent] on [Agent].AgentID = [EditedCase].AgentID) A on A.CaseID = [Case].CaseID
WHERE [Assignment].AssignmentID = 0
AND pos = 1
You could also change the sub query into an aggregate query that brings back the MAX date like this:
SELECT
[Case].CaseID
,Agent.AgentName
,Assignment.Description
,A.AgentName AS EditedBy
,A.DateEdited
FROM Agent
INNER JOIN [Case-Agent] ON [Case-Agent].AgentID = Agent.AgentID
INNER JOIN [Assignment] ON Assignment.AssignmentID = [Case-Agent].AssignmentID
INNER JOIN [Case] ON [Case].CaseID = [Case-Agent].CaseID
INNER JOIN (SELECT
EditedCase.CaseID
,MAX([EditedCase].DateEdited) AS DateEdited
,[Agent].AgentName
FROM EditedCase
INNER JOIN [Agent] on [Agent].AgentID = [EditedCase].AgentID
GROUP BY
EditedCase.CaseID
,[Agent].AgentName) A on A.CaseID = [Case].CaseID
WHERE [Assignment].AssignmentID = 0
AND pos = 1
You were on the right track; you need to use a ranking function here, for example row_number():
with LatestCase as
(
select [Case].CaseID
, Agent.AgentName
, Assignment.Description
, A.AgentName as EditedBy
, A.DateEdited
, caseRank = row_number() over (partition by [Case].CaseID order by A.DateEdited desc)
from Agent
inner join [Case-Agent] on [Case-Agent].AgentID = Agent.AgentID
inner join [Assignment] on Assignment.AssignmentID = [Case-Agent].AssignmentID
inner join [Case] on [Case].CaseID = [Case-Agent].CaseID
inner join
(
select EditedCase.CaseID
, [EditedCase].DateEdited
, [Agent].AgentName
from EditedCase
inner join [Agent] on [Agent].AgentID = [EditedCase].AgentID
) A on A.CaseID = [Case].CaseID where [Assignment].AssignmentID = 0
)
select *
from LatestCase
where caseRank = 1

MySQL Update table with sum value of another table

I have a query that I can't seem to manipulate to work in a SUM function in MySQL:
Here is what I want:
UPDATE account_seeds AS a
INNER JOIN b AS b ON b.accountID = a.accountID AND a.areaID = b.areaID
INNER JOIN b_seed AS s ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c ON c.seedID = s.seedID
SET a.amount = a.amount + SUM(s.amount)
WHERE b.status='active' AND a.seedID = s.seedID
Now it obviously won't let me use the SUM in the update without separating it. I have tried joining select queries but can't quite get my head around it. The basic premise being that I have multiple buildings(rows) that has a seed value that will increase total seeds of that type in the area for a particular account. Without the sum it only updates one of the buildings that has a matching seed value
UPDATE
account_seeds AS a
INNER JOIN
( SELECT b.accountID, b.areaID, s.seedID
, SUM(s.amount) AS add_on
FROM b AS b
INNER JOIN b_seed AS s
ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c
ON c.seedID = s.seedID
WHERE b.status = 'active'
GROUP BY b.accountID, b.areaID, s.seedID
) AS g
ON g.accountID = a.accountID
AND g.areaID = a.areaID
AND g.seedID = a.seedID
SET
a.amount = a.amount + g.add_on ;
Maybe you can use a nested query:
UPDATE account_seeds AS a
INNER JOIN b AS b ON b.accountID = a.accountID AND a.areaID = b.areaID
INNER JOIN b_seed AS s ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c ON c.seedID = s.seedID
SET a.amount = a.amount + (SELECT SUM(amount) FROM b_seed)
WHERE b.status='active' AND a.seedID = s.seedID
Can you try that?