Can somebody help optimizing the query below. The tr_marketshare table contains just 84000 records and query is taking 6 minutes and 19 seconds to execute.
UPDATE tr_marketshare
INNER JOIN
(SELECT YEAR, MONTH, Door, Category, Category_Sales,Country
FROM tr_marketshare
WHERE Brand = 'Gucci'
AND Account = 'Wojooh'
AND Category='MU') MS
ON tr_marketshare.Door = MS.Door
AND tr_marketshare.Year = MS.Year
AND tr_marketshare.Month = MS.Month
AND tr_marketshare.Account='Wojooh'
AND tr_marketshare.Country = MS.Country
AND tr_marketshare.Category = 'MU'
AND tr_marketshare.Brand <> 'Gucci'
SET tr_marketshare.Category_Sales = MS.Category_Sales;
The schema information is as below.
ID and Year are Integer.
Category_Sales is float
Rest of the fields are of Varchar type.
Thanks.
Related
I have a query in MYSQL as follows. It is to retrieve data to a Codeigniter program with populate a select box.
SELECT
pharmacy_products.id,
pharmacy_products.product_name,
pharmacy_products.product_display_name,
pharmacy_products.pack_size,
pharmacy_products.top_up_level,
pharmacy_products.current_physical_stock,
pharmacy_products.purchasing_status,
pharmacy_products.po_number,
pharmacy_products.added_supplier,
users.user_name,
pharmacy_products.added_to_supplier_time,
pharmacy_products.added_packs,
pharmacy_products.last_pack_purchase_price,
GROUP_CONCAT(
'',
pharmacy_suppliers.suppier_alternate_name,
'' SEPARATOR ''
) AS suppliers
FROM
pharmacy_products
LEFT JOIN pharmacy_product_to_companies ON pharmacy_products.id = pharmacy_product_to_companies.product_id
LEFT JOIN pharmacy_suppliers ON pharmacy_product_to_companies.company_id = pharmacy_suppliers.id
LEFT JOIN users ON pharmacy_products.added_to_supplier_by = users.user_id
WHERE
pharmacy_products.current_physical_stock <= pharmacy_products.re_order_level AND pharmacy_products.active_status = 1 AND pharmacy_products.approval_status = 1
GROUP BY
pharmacy_products.id
At phpmyadmin it says like this
Showing rows 0 - 24 (2877 total, Query took 1.7426 seconds.)
But it took about 5 seconds to display data (in phpmyadmin). And this affects to the program also.
How can I solve this?
I'm after some help with a report I'm designing please.
My report includes results from a booking database where I'd like to show each booking on a single line. However as the booking database has a number of tables my MYSQL query involves JOINS which is resulting in multiple rows per booking. It is the multiple results for "dcea4_eb_field_values.field_value" per booking causing the repeating rows.
This is my query
SELECT
dcea4_eb_events.event_date,
dcea4_eb_events.title,
dcea4_eb_registrants.id,
dcea4_eb_registrants.first_name,
dcea4_eb_registrants.last_name,
dcea4_eb_registrants.email,
dcea4_eb_registrants.register_date,
dcea4_eb_registrants.amount,
dcea4_eb_registrants.comment,
dcea4_eb_field_values.field_id,
dcea4_eb_field_values.field_value
FROM dcea4_eb_events
INNER JOIN dcea4_eb_registrants ON dcea4_eb_registrants.event_id = dcea4_eb_events.id
INNER JOIN dcea4_eb_field_values ON dcea4_eb_field_values.registrant_id = dcea4_eb_registrants.id
WHERE 1=1
AND (dcea4_eb_field_values.field_id = 14 OR dcea4_eb_field_values.field_id = 26 OR dcea4_eb_field_values.field_id = 27 OR dcea4_eb_field_values.field_id = 15)
AND dcea4_eb_registrants.published <> 2
AND dcea4_eb_registrants.published IS NOT NULL
AND (dcea4_eb_registrants.published = 1 OR dcea4_eb_registrants.payment_method = "os_offline")
[ AND (dcea4_eb_registrants.register_date {RegistrationDate} ) ]
[ AND REPLACE(dcea4_eb_events.title,'\'','') in ({Club}) ]
ORDER BY dcea4_eb_registrants.register_date,
dcea4_eb_events.title
This is what the output currently looks like
current result
and this is what I'd like it to look like
desired result
Any help appreciated
Okay I have look through several posts about SQL running slow and I didn't see anything similar to this, so my apologies if I missed one. I was asked about a month ago to create a view that would allow the user to report what hasn't been billed yet, and the SQL is joining 4 tables together. One is 1.2 million records ish. the rest are between 80K - 250K. (Please note that this should only return around 100 records after the where statements).
SELECT C.Cltnum + '.' + C.CltEng AS [ClientNum],
C.CPPLname,
w.WSCDesc,
MIN(w.Wdate) AS [FirstTDate],
w.WCodeCat,
w.WCodeSub,
SUM(w.Wbilled) AS [Billed],
SUM(w.Whours * w.Wrate) AS [Billable Wip],
sum(ar.[ARProgress]) AS [Progress],
w.Winvnum,
-- dbo.GetInvoiceAmount(w.Winvnum) AS [InvoiceAmount],
SUM(cb.cinvar) AS [AR Balance]
FROM dbo.WIP AS w
--Never join on a select statement
--join BillingAuditCatagoriesT bac on w.WCodeCat = bac.Catagory and w.WCodeSub = bac.Subcatagory
INNER JOIN dbo.Clients AS C ON w.WCltID = C.ID
JOIN dbo.ClientBuckets AS cb on c.cltnum = cb.cltnum
JOIN dbo.AcctsRec AS ar on ar.arapplyto = w.[Winvnum]
-- WHERE w.wcodecat = '1AUDT'
GROUP BY C.Cltnum, C.CltEng, C.CPPLname, w.WCodeCat, w.Wdate, w.Winvnum, w.WCodeSub, w.WSCDesc
so, where I think there may be a problem is that Category is a varchar it is xat, ACT, BID and there are about 15 different Category. this is the same as SubCat. you will notice that there are 3 functions on this and they are GetJamesProgress Which is = (SELECT sum(Amount) From Progress Where inv = w.invnum) and the same with GetInvoiceAmount and GetJamesARBalance. I know that this is bad to do but when I join by invoice number it takes even longer than with out them.
Please help thanks so much!
I am trying to write a query to find the number of miles on a bicycle fork. This number is calculated by taking the distance_reading associated with the date that the fork was installed on (the minimum reading_date on or after the Bicycle_Fork.start_date associated with the Bicycle_Fork record) and subtracting that from the date that the fork was removed (the maximum reading_date on or before the Bicycle_Fork.end_date or, if that is null, the reading closest to today's date). I've managed to restrict the range of odometer_readings to the appropriate ones, but I cannot figure out how to find the minimum and maximum date for each odometer that represents when the fork was installed. It was easy when I only had to look at records matching the start_date or end_date, but the user is not required to enter a new odometer reading for each date that a part is changed. I've been working on this query for several hours now, and I can't find a way to use MIN() that doesn't just take the single smallest date out of all of the results.
Question: How can I find the minimum reading_date and the maximum reading_date associated with each odometer_id while maintaining the restrictions created by my WHERE clause?
If this is not possible, I plan to store the values retrieved from the first query in an array in PHP and deal with it from there, but I would like to be able to find a solution solely in MySQL.
Here is an SQL fiddle with the database schema and the current state of the query: http://sqlfiddle.com/#!2/015642/1
SELECT OdometerReadings.distance_reading, OdometerReadings.reading_date,
OdometerReadings.odometer_id, Bicycle_Fork.fork_id
FROM Bicycle_Fork
INNER JOIN (Bicycles, Odometers, OdometerReadings)
ON (Bicycles.bicycle_id = Bicycle_Fork.bicycle_id
AND Odometers.bicycle_id = Bicycles.bicycle_id AND OdometerReadings.odometer_id = Odometers.odometer_id)
WHERE (OdometerReadings.reading_date >= Bicycle_Fork.start_date) AND
((Bicycle_Fork.end_date IS NOT NULL AND OdometerReadings.reading_date<= Bicycle_Fork.end_date) XOR (Bicycle_Fork.end_date IS NULL AND OdometerReadings.reading_date <= CURRENT_DATE()))
This is the old query that didn't take into account the possibility of the database lacking a record that corresponded with the start_date or end_date:
SELECT MaxReadingOdo.distance_reading, MinReadingOdo.distance_reading
FROM
(SELECT OdometerReadings.distance_reading, OdometerReadings.reading_date,
OdometerReadings.odometer_id
FROM Bicycle_Fork
LEFT JOIN (Bicycles, Odometers, OdometerReadings)
ON (Bicycles.bicycle_id = Bicycle_Fork.bicycle_id
AND Odometers.bicycle_id = Bicycles.bicycle_id AND OdometerReadings.odometer_id = Odometers.odometer_id)
WHERE Bicycle_Fork.start_date = OdometerReadings.reading_date) AS MinReadingOdo
INNER JOIN
(SELECT OdometerReadings.distance_reading, OdometerReadings.reading_date,
OdometerReadings.odometer_id
FROM Bicycle_Fork
LEFT JOIN (Bicycles, Odometers, OdometerReadings)
ON (Bicycles.bicycle_id = Bicycle_Fork.bicycle_id AND Odometers.bicycle_id
= Bicycles.bicycle_id AND OdometerReadings.odometer_id = Odometers.odometer_id)
WHERE Bicycle_Fork.end_date = OdometerReadings.reading_date) AS
MaxReadingOdo
ON MinReadingOdo.odometer_id = MaxReadingOdo.odometer_id
I'm trying to get the following to return from the SQL schema:
I will eventually sum these into one number, but I've been working with them separately to make it easier to check the values.
min_distance_reading | max_distance_reading | odometer_id
=============================================================
75.5 | 2580.5 | 1
510.5 | 4078.5 | 2
17.5 | 78.5 | 3
I don't understand the final part of the puzzle, but this seems close...
SELECT MIN(ro.distance_reading) min_val
, MAX(ro.distance_reading) max_val
, ro.odometer_id
FROM OdometerReadings ro
JOIN odometers o
ON o.odometer_id = ro.odometer_id
JOIN Bicycle_Fork bf
ON bf.bicycle_id = o.bicycle_id
AND bf.start_date <= ro.reading_date
GROUP
BY ro.odometer_id;
http://sqlfiddle.com/#!2/015642/8
I have 2 my tables with data and 2 "not mine" tables (in ReferenceDB) where thing ID can be mapped to its name.
One of mine tables is orders with following important columns: charName, stationID, typeID, bid.
Another table has following important columns: transactionDateTime, stationID, typeID, person, transactionType
I started my head braking with idea how to find orders that doesn't have any records for them lately (e.g. given amount of days). But for beginning I set me a task just to find orders that has no records for them at all. For that I figured out LEFT JOIN see biggest query below.
An order for me is a combination of charName/persone + stationID + typeID + transactionType/bid so if actually one of those four changes it is different order then.
Problem is that transactionType can be "yes" or "no" and bid is 0 or not 0. So I cant or DON'T KNOW HOW to JOIN ON different data types. So logically I'd like to join on 4 columns like:
FROM ordersTable LEFT JOIN recordsTable ON ordersTable.typeID = recordsTable.typeID
AND ordersTable.stationID = recordsTable.stationID
AND ordersTable.charName = recordsTable.person
AND ordersTable.bid = recordsTable.transactionType
Clearly last string of above wouldn't work cause of different data types.
So for a moment I thought that I can do such query twice for bid=0 with transactionType="yes" and second time for bid != 0 and transactionType = "no" see my query below for 0/"yes" combination. But seems it doesn't works exactly as I'd like it to. because AND ordersTable.bid IN (0) AND recordsTable.transactionType="yes" in JOIN ON doesn't sem do anything. (As I do get results where bid=1)
SELECT invTypes.typeName, stastations.stationName, main.* FROM referenceDB.invTypes, referenceDB.stastations, (
SELECT ordersTable.charName, ordersTable.stationID, ordersTable.typeID, ordersTable.bid, ordersTable.orderState, ordersTable.volRemaining
FROM ordersTable LEFT JOIN recordsTable ON ordersTable.typeID = recordsTable.typeID
AND ordersTable.stationID = recordsTable.stationID
AND ordersTable.charName = recordsTable.person
AND ordersTable.bid IN (0) AND recordsTable.transactionType="yes"
WHERE recordsTable.typeID IS NULL
AND ordersTable.orderState IN (0) ) as main
WHERE stastations.stationID = main.stationID AND invTypes.typeID = main.typeID;
Questions:
Is it possible to tell mySQL to treat "yes" as 0 or vise versa? If yes how do I do it in my query? If no what would be my work around (to find orders that doesn't have records related to them)?
And possibly some one can suggset a query that will find orders that didn't have records within given amount of days?
Thank you in advance!
One way is to use the explicit comparisons:
((ordersTable.bid = 0 and recordsTable.transactionType = 'No') or
(ordersTable.bid = 1 and recordsTable.transactionType = 'Yes')
)
Another would be to use a case statement:
(case when recordsTable.transactionType = 'No' then 0 else 1 end) = ordersTable.bid
SELECT invTypes.typeName, stastations.stationName, main.* FROM referenceDB.invTypes, referenceDB.stastations, (
SELECT ordersTable.charName, ordersTable.stationID, ordersTable.typeID, ordersTable.bid, ordersTable.orderState, ordersTable.volRemaining
FROM ordersTable LEFT JOIN recordsTable ON ordersTable.typeID = recordsTable.typeID
AND ordersTable.stationID = recordsTable.stationID
AND ordersTable.charName = recordsTable.person
AND ((ordersTable.bid = 0 AND recordsTable.transactionType = 'yes') OR
(ordersTable.bid != 0 AND recordsTable.transactionType = 'no'))
WHERE recordsTable.typeID IS NULL
AND ordersTable.orderState IN (0) ) as main
WHERE stastations.stationID = main.stationID AND invTypes.typeID = main.typeID;