I have the folowing sql query:
SELECT DISTINCT(tbl_products.product_id), tbl_products.product_title,
tbl_brands.brand_name, tbl_reviews.review_date_added,
NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
ORDER BY tbl_reviews.review_date_added DESC
That needs to filter out any duplicate product_id's unfortunatly selecting tbl_reviews.review_date_added makes each record unique which means DISTINCT will not work anymore.
Is there any otherway of doing this query so that product_id is still unique?
I did do the GROUP BY and the problem is I display the tbl_reviews.review_date_added on a website and it selects the oldest date. I need the newest date.
Regards
With the description given, it's a bit hard to be certain, but if review_date_added is the only problem, it seems like you want the MAX() of that date?
If the following doesn't help, please could you give example data, example output, and a description of how you want the output to be created?
SELECT
tbl_products.product_id,
tbl_products.product_title,
tbl_brands.brand_name,
MAX(tbl_reviews.review_date_added) AS review_date_added,
NOW() AS time_now
FROM
tbl_products
INNER JOIN
tbl_reviews
ON tbl_products.product_id = tbl_reviews.product_id
INNER JOIN
tbl_brands
ON tbl_products.brand_id = tbl_brands.brand_id
GROUP BY
tbl_products.product_id,
tbl_products.product_title,
tbl_brands.brand_name
ORDER BY
MAX(tbl_reviews.review_date_added) DESC
Distinct works for the entire row. The parenthesis are just around the field:
distinct (a), b, c === distinct a, b, c
A straightforward solution is group by. You can use min to select the oldest date.
select tbl_products.product_id
, min(tbl_products.product_title)
, min(tbl_brands.brand_name)
, min(tbl_reviews.review_date_added)
, NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
GROUP BY
tbl_products.product_id
ORDER BY
min(tbl_reviews.review_date_added) DESC
Note that if a product can have multiple brands, this will pick the lowest one.
Try this:
SELECT pr.product_id, pr.product_title,
bd.brand_name,
(SELECT MAX(rev.review_date_added) FROM tbl_reviews rev
WHERE pr.product_id = rev.product_id) AS maxdate,
NOW() AS time_now
FROM tbl_products pr INNER JOIN tbl_reviews re
ON pr.product_id = re.product_id
INNER JOIN tbl_brands bd
ON pr.brand_id = bd.brand_id
GROUP BY pr.product_id
ORDER BY re.review_date_added DESC
or (as suggested by #Hogan)
SELECT pr.product_id, pr.product_title,
bd.brand_name, md.maxdate
NOW() AS time_now
FROM tbl_products pr INNER JOIN tbl_reviews re
ON pr.product_id = re.product_id
INNER JOIN tbl_brands bd
ON pr.brand_id = bd.brand_id
INNER JOIN (SELECT product_id, MAX(review_date_added) AS maxdate
FROM tbl_reviews rev GROUP BY product_id) md
ON pr.product_id = md.product_id
GROUP BY pr.product_id
ORDER BY re.review_date_added DESC
I combined the answer of Andomar with some changes you will find here.
SELECT tbl_products.product_id, tbl_products.product_title,
tbl_products.product_date_added, tbl_brands.brand_name,
MAX(tbl_reviews.review_date_added) AS review_date_added, NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
GROUP BY tbl_products.product_id
ORDER BY MAX(tbl_reviews.review_date_added) DESC
Works beautifully and shows the newest date at tbl_reviews.review_date_added.
Regards
Related
I have this query:
SELECT prod.ProductID, prod.Name, prod.ProdExtID, ls.ProdServiceID
FROM Products prod
LEFT JOIN ProductServices ls ON ls.ProdServiceID=(SELECT ProdServiceID FROM
ProductServices WHERE ProductID=prod.ProductID ORDER BY Modified DESC LIMIT
1) ;
This query returns 175 rows
I want to convert this to JOIN.
I used below query:
SELECT prod.ProductID, prod.Name, prod.ProdExtID, ls1.ProductServicesID
FROM Products prod
inner join ProductServices ls on ls.ProductID=prod.ProductID
inner JOIN (SELECT ProductServicesID, ProductID, max(Modified) as Modified
FROM
ProductServices group by Modified) as ls1 ON ls.ProductServicesID =
ls1.ProductServicesID and ls.Modified = ls1.Modified and ls.ProductID =
ls1.ProductID;
which doesn't return correct result. Can I get some direction on this.
The purpose is to optimize the query. Would it be good idea to use join in place of original query.
Thanks!
Try this:
SELECT ProductID
, Name
, ProdExtID
, ProdServiceID
FROM
(
SELECT prod.ProductID
, prod.Name
, prod.ProdExtID
, ls.ProdServiceID
, RANK() OVER(PARTITION BY ls.ProdServiceID ORDER BY ls.Modified DESC) AS rnk
FROM Products prod
LEFT JOIN ProductServices ls ON ls.ProductID=prod.ProductID
) x
WHERE rnk = 1
So basically: your join needs to be on ProductID but you only want the most recent ProdServiceID, right?
try this select query please.
Here you get the serviceid which corresponds to productid and the last modiied
SELECT prod.ProductID, prod.Name, prod.ProdExtID, ls.ProdServiceID
FROM Products prod
LEft join ProductServices ls on ls.ProductID=prod.ProductID
inner JOIN (SELECT ProductID, max(Modified) as Modified
FROM
ProductServices group by ProductID) as ls1 ON ls.ProductID =
ls1.ProductID and ls.Modified = ls1.Modified;
i have a query and i'm having trouble to change the name of the last row of columb name to 'TOTAL'. The result gives me the same name of the row above the last row.
Here's my query:
SELECT COALESCE(ticket_types.name,'TOTAL') AS name,
COUNT(1) AS quantity
FROM tr_logs
LEFT JOIN tickets ON tr_logs.value = tickets.id
LEFT JOIN ticket_types ON tickets.ticket_type_id = ticket_types.id
LEFT JOIN transactions ON tr_logs.transaction_id = transactions.id
LEFT JOIN tr_fields_data AS tfd_shipping ON tfd_shipping.transaction_id = transactions.id
WHERE type = 'ADDITEM'
AND transactions.event_id = '46'
AND DATE(tr_logs.created_date)
BETWEEN '2017-03-26' AND '2017-05-24'
AND tfd_shipping.data IN ('0','570','571','771')
AND name IS NOT NULL
GROUP BY ticket_types.id WITH ROLLUP
The result looks like this:
name quantity
premium 56
outlaw 6
outlaw 62
Last row name from rollup is not null.... I need it to be TOTAL and not outlaw
Thanks
You haven't changed the name to TOTAL at all: you've changed the name of the column to name, and you've told it to replace any null values with TOTAL.
If you want to change the name of ticket_types.name to total, you just want
SELECT ticket_types.name AS total ...
(But it would be weird to rename something called name to total, so perhaps you need to clarify your requirements a little.)
This may or not be related to your observed problem, but the WHERE and GROUP BY clauses turn all the outer joins into inner joins. You should simplify the query to:
SELECT COALESCE(tt.name, 'TOTAL') AS name, COUNT(1) AS quantity
FROM tr_logs l JOIN
tickets
ON l.value = t.id JOIN
ticket_types tt
ON t.ticket_type_id = tt.id JOIN
transactions tr
ON l.transaction_id = tr.id JOIN
tr_fields_data fd
ON fd.transaction_id = tr.id
WHERE type = 'ADDITEM' AND
tr.event_id = '46' AND
DATE(l.created_date) BETWEEN '2017-03-26' AND '2017-05-24' AND
fd.data IN ('0', '570', '571', '771') AND
tt.name IS NOT NULL
GROUP BY tt.id WITH ROLLUP
Thanks to Gordon Linoff I have figure out my problem.
The name of the last row was never null beacause i GROUP BY with a different attribute.
Here's the solution.
SELECT COALESCE(tckn,'TOTAL') AS name, quantity FROM
(SELECT tt.name AS tckn, COUNT(1) AS quantity
FROM tr_logs AS l
LEFT JOIN tickets AS t ON l.value = t.id
LEFT JOIN ticket_types AS tt ON t.ticket_type_id = tt.id
LEFT JOIN transactions AS tr ON l.transaction_id = tr.id
LEFT JOIN tr_fields_data AS tfd ON tfd.transaction_id = tr.id
WHERE type = 'ADDITEM'
AND tr.event_id = '46'
AND DATE(l.created_date)
BETWEEN '2017-03-26' AND '2017-05-24'
AND tfd.data IN ('0','570','571','771')
GROUP BY tckn WITH ROLLUP) as sum;
I have the first query which is producing correct results. What I need is I need to add the sum of values as a last column grouped by surveyid. I can't insert Sum(c.value) into the first query because it is an aggregate function. I have the correct query as my second query below. I know there's pivot functionality but not sure if it can be used here. I do realize that there will be repetition but that's okay.
'first query
SELECT
A.PATIENTID, B.STUDENTNUMBER, c.surveyid,
convert(varchar, A.CreatedDate, 107),
C.QuestionID, C.Value, D.Question
FROM
dbo.Survey A, dbo.Patient B, [dbo].[SurveyQuestionAnswer] C, [dbo].[LookupQuestions] D
WHERE
A.PATIENTID = B.ID
and c.SurveyID = A.ID
and c.QuestionID = d.ID
and c.questionid <> 10
ORDER BY
A.PATIENTID
'second query
select
c.surveyid,SUM(c.value) as scores
from
dbo.SurveyQuestionAnswer c
group by
c.SurveyID
order by
SurveyID '---not important
You can use SUM if you add the OVER clause. In this case:
SELECT
A.PATIENTID, B.STUDENTNUMBER, c.surveyid,
convert(varchar, A.CreatedDate, 107),
C.QuestionID, C.Value, D.Question,
SUM(c.Value) OVER(PARTITION BY c.surveyid) scores
FROM
dbo.Survey A
INNER JOIN dbo.Patient B
ON A.PATIENTID = B.ID
INNER JOIN [dbo].[SurveyQuestionAnswer] C
ON c.SurveyID = A.ID
INNER JOIN [dbo].[LookupQuestions] D
ON c.QuestionID = d.ID
WHERE
c.questionid <> 10
ORDER BY
A.PATIENTID
You could use something like this:
SELECT
s.PATIENTID, p.STUDENTNUMBER, sqa.surveyid,
CONVERT(varchar, s.CreatedDate, 107),
sqa.QuestionID, sqa.Value, lq.Question,
Scores = (SELECT SUM(Value) FROM dbo.SurveyQuestionAnswer s2 WHERE s2.SurveyID = s.ID)
FROM
dbo.Survey s
INNER JOIN
dbo.Patient p ON s.PatientID = p.ID
INNER JOIN
[dbo].[SurveyQuestionAnswer] sqa ON sqa.SurveyID = s.ID
INNER JOIN
[dbo].[LookupQuestions] lq ON sqa.QuestionID = lq.ID
WHERE
sqa.questionid <> 10
ORDER BY
s.PATIENTID
By having a subquery with the SUM(...) you should be able to get that sum as a single value and you don't need to use any grouping function
I need to exclude from query some records, where day name isset in exclude value 'excl_days'.
Simple function is working:
SELECT post_id, start, end, excl_days FROM `mytable_events`
WHERE `excl_days` NOT LIKE '%".$today_name."%'
ORDER BY DATE(start) DESC
But with JOIN and GROUP i have empty result after adding NOT LIKE. Without NOT LIKE all is working fine.
SELECT o1.post_id, o1.start, o1.end, o1.excl_days
FROM `mytable_events` o1
JOIN `mytable_posts` o2 ON o1.post_id = o2.ID
WHERE `o1.excl_days` NOT LIKE '%".$today_name."%'
GROUP BY o1.post_id ORDER BY DATE(o1.start) DESC
Full query is:
SELECT o1.post_id, o1.start, o1.end, o1.excl_days
FROM `mytable_events` o1
JOIN `mytable_posts` o2 ON o1.post_id = o2.ID
WHERE DATE(o1.start) <= '".$today."' AND DATE(o1.end) >= '".$today."'
AND o2.post_type = 'events' AND o2.post_status = 'publish'
AND `o1.excl_days` NOT LIKE '%".$today_name."%'
GROUP BY o1.post_id ORDER BY DATE(o1.start) DESC
How make this to work? Thank you for help.
Try this:
SELECT o1.post_id, o1.start, o1.end, o1.excl_days
FROM `mytable_events` o1
JOIN `mytable_posts` o2 ON (o1.post_id = o2.ID
AND o1.excl_days NOT LIKE '%".$today_name."%')
GROUP BY o1.post_id ORDER BY DATE(o1.start) DESC
Try getting rid of the back ticks in your where clause. They are unnecessary and not correctly formed.
SELECT o1.post_id, o1.start, o1.end, o1.excl_days
FROM `honchar_events` o1
JOIN `honchar_posts` o2 ON o1.post_id = o2.ID
WHERE o1.excl_days NOT LIKE '%".$today_name."%'
GROUP BY o1.post_id ORDER BY DATE(o1.start) DESC
I have quite a long query that is causing me some problems. For the first sub-query I keep getting the error: "MySQL server version for the right syntax to use near 'SELECT project.project_total_num_hours_quoted FROM project inner join time_recor' at line 5".
The subquery in question is:
sum(SELECT
project.project_total_num_hours_quoted
FROM
project inner join time_recording using(project_id)
WHERE
project.company_id = company.company_id
AND project_is_retainer != 1
AND time_recording.time_recording_event_start_datetime >= '2011-01-01' AND time_recording.time_recording_event_stop_datetime <= '2011-03-01'
group by project_id
) AS hours_quoted,
This returns a set of results. In the larger query I simply want to have the sum.
SELECT
SUM((unix_timestamp(time_recording.time_recording_event_stop_datetime)-unix_timestamp(time_recording.time_recording_event_start_datetime))/3600) AS total_time,
company.company_label,
sum(SELECT
project.project_total_num_hours_quoted
FROM
project inner join time_recording using(project_id)
WHERE
project.company_id = company.company_id
AND project_is_retainer != 1
AND time_recording.time_recording_event_start_datetime >= '2011-01-01' AND time_recording.time_recording_event_stop_datetime <= '2011-03-01'
group by project_id
) AS hours_quoted,
(SELECT SUM(project.project_total_num_hours_quoted)
FROM project
INNER JOIN time_recording ON project.project_id = time_recording.project_id
WHERE time_recording.time_recording_event_start_datetime>='2011-01-01'
AND project_is_retainer!=1
AND time_recording.time_recording_event_stop_datetime<='2011-03-01'
AND project.company_id!=1
) AS total_hours_quoted,
(
SELECT
SUM((unix_timestamp(time_recording.time_recording_event_stop_datetime)-unix_timestamp(time_recording.time_recording_event_start_datetime))/3600)
FROM time_recording
INNER JOIN project ON time_recording.project_id = project.project_id
WHERE project.company_id!=1
AND project_is_retainer!=1
AND time_recording.time_recording_event_start_datetime>='2011-01-01'
AND time_recording.time_recording_event_stop_datetime<='2011-03-01'
)
AS total_hours
FROM time_recording
INNER JOIN project ON time_recording.project_id = project.project_id
INNER JOIN company ON project.company_id = company.company_id
WHERE company.company_id!=1
AND project_is_retainer!=1
AND time_recording.time_recording_event_start_datetime>='2011-01-01'
AND time_recording.time_recording_event_stop_datetime<='2011-03-01'
GROUP BY company.company_id
ORDER BY total_time desc
LIMIT 7
In your first subquery, you don't need the group by if you sum it in the outer query. And you are missing the ON clause.
SELECT project.project_total_num_hours_quoted
FROM project inner join time_recording
ON project.id=time_recording.project_id
WHERE
project.company_id = company.company_id
AND project_is_retainer != 1
AND time_recording.time_recording_event_start_datetime >= '2011-01-01'
AND time_recording.time_recording_event_stop_datetime <= '2011-03-01'
I would strongly recommend scrapping this and starting again.
Several, if not all, the subselects could be merged into a single SELECT statement. The outer SELECT is an aggregate operation which selects non-aggregated values not included in the GROUP BY clause. MySQL does not optimize push-predicates. And you've got redundant joins in the query.