I have following mysql query:
SELECT a.id
, ( 3959 * acos( cos( radians(a.latitude) ) * cos( radians( w.latitude ) )
* cos( radians( w.longitude ) - radians(-a.longitude) )
+ sin( radians(a.latitude) ) * sin(radians(w.latitude)) ) ) distance
FROM global_restaurants a
JOIN webgeocities w
ON w.name = a.locality
AND w.country_code = a.country
AND a.latitude LIKE w.latitude
JOIN states s
ON s.state_code = w.state_code
AND w.country_code = s.country_code
WHERE a.city_id = 0
After execution it returns:
id distance
70 6665.478678743614
70 6496.46971480875
70 6725.900646648246
70 6733.5156930808
90 6969.449661399672
90 7252.889875588891
I want it to only return 2 rows with minimum distance like:
id distance
70 6496.46971480875
90 6969.449661399672
add order by at the end of your query:
order by distance ASC LIMIT 2;
now you calculating the distance but
at end of the query you must sort them and limit the returns row count..
.
NOTE:
i think you have a small mistake on your query
the 3959 is for miles but i think the values are in meter
your full query can be like this:
select a.id, ( 6371000 * acos( cos( radians(a.latitude) ) * cos( radians( w.latitude ) )
* cos( radians( w.longitude ) - radians(-a.longitude) ) + sin( radians(a.latitude) ) * sin(radians(w.latitude)) ) ) AS distance
from `global_restaurants` as a INNER JOIN webgeocities as w ON (w.name = a.locality AND w.country_code = a.country and a.latitude like w.latitude) INNER JOIN
states AS s ON (s.state_code = w.state_code and w.country_code = s.country_code) where a.city_id = '0' ORDER BY distance ASC LIMIT 2;
For simplicity, let's assumed that you have your query in view - stack, then your query should look like this
select stack.* from stack join (
SELECT id, GROUP_CONCAT(distance ORDER BY
distance asc) grouped_distance FROM stack GROUP BY id
) group_distance on group_distance.id=stack.id
where find_in_set(stack.distance,group_distance.grouped_distance)between 1 and 2;
Related
So I have this query:
SELECT P.*,
( 3959 * acos( cos( radians('37.785834') )
* cos( radians( CA.lat ) )
* cos( radians( CA.lng )
- radians('-122.406417') )
+ sin( radians('37.785834') )
* sin( radians( CA.lat ) ) ) ) AS distance
FROM adp2_posts as P
JOIN adp2_offer_details C ON C.merchant_id = P.ID
JOIN adp2_addresses CA ON CA.address_id = C.address_id
WHERE P.post_type = 'merchant'
AND P.post_status = 'publish'
AND CA.mm = "dallasftworth"
AND C.cats RLIKE CONCAT("[[:<:]]", REPLACE(199, ",", "[[:>:]]|[[:<:]]"), "[[:>:]]")
GROUP BY CA.address_id, P.ID
HAVING (distance < 999999999999999999 AND P.coupon_count > 0) ORDER BY distance ASC LIMIT 0 , 20
I expect it to return unique values from LEFT table, but it returns duplicates too.
Results:
I am a bit confused by this one.
Sorry for not providing the full context, its been a long day, but i finally figured it out.
Here's the end query:
SELECT P.*, MIN(( 3959 * acos( cos( radians('37.785834') ) * cos( radians( CA.lat ) ) * cos( radians( CA.lng ) - radians('-122.406417') ) + sin( radians('37.785834') ) * sin( radians( CA.lat ) ) ) )) AS distance FROM adp2_posts as P JOIN adp2_offer_details C ON C.merchant_id = P.ID JOIN adp2_addresses CA ON CA.address_id = C.address_id WHERE P.post_type = 'merchant' AND P.post_status = 'publish' AND CA.mm = "dallasftworth" AND C.cats RLIKE CONCAT("[[:<:]]", REPLACE(199, ",", "[[:>:]]|[[:<:]]"), "[[:>:]]") GROUP BY P.ID HAVING (distance < 999999999999999999 AND P.coupon_count > 0) ORDER BY distance ASC LIMIT 0 , 20
The problem was that, CA.address_id where different and GROUP BY took it as unique values. What i did, is just select P.* with smallest distance(this is exactly what my business logic asks for).
I have stores records in my table and I want to sort them on the basis of highest rating of store and which has nearest distance to my location.
SELECT rating,
( 3959 * acos( cos( radians(37) )
* cos( radians( lat ) )
* cos( radians( lon )
- radians(-122) )
+ sin( radians(37) )
* sin( radians( lat ) )
)
) AS distance
FROM mystores sr
order by sr.rating desc ,distance asc
It is not giving me my desired results
Table Mystores
id|rating|distance
66 5 55
55 4 56
99 3 60
I assume that you want just the closest store and you want to ignore all other with the same rank but with bigger distance.
The group by raiting allows us to get the minimal distance for each raiting.
select m1.*
from mystores m1
join (
select m.raiting,
min(m.distance) distance
from mystores m
group by m.raiting
) m2
on m2.raiting = m1.raiting and
m2.distance = m1.distance
order by m1.raiting desc, m1.distance asc
I have tried using the code below and it says
The used SELECT statements have a different number of columns
because distance column in added is more in 2nd query .How do I resolve something like this or can I get the order right without distance column?I really appreciate any help.THanks in Advance.
SELECT * FROM
(
SELECT * FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
WHERE u.empid = 123
UNION
SELECT * ( 3959 * acos( cos( radians(37) ) * cos( radians( lat ) ) * cos( radians( lng ) - radians(-122) )+ sin( radians(37) ) * sin( radians( lat ) ) ) ) AS distance
FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
HAVING distance < 25
ORDER BY distance
) a
ORDER BY timestamp DESC
It's because your 1st SELECT and 2nd SELECT have varying number of columns, since you introduced Distance in 2nd SELECT.
So try making Distance in 1st query null or 0 as follows.
SELECT * FROM
(
SELECT *, 0 as Distance
FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
WHERE u.empid = 123
UNION
SELECT *, ( 3959 * acos( cos( radians(37) ) * cos( radians( lat ) ) * cos( radians( lng ) - radians(-122) )+ sin( radians(37) ) * sin( radians( lat ) ) ) ) AS distance
FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
HAVING distance < 25
ORDER BY distance
) a
ORDER BY timestamp DESC
You would fix this by adding distance to the first query:
SELECT * FROM
(
SELECT *, NULL as distance FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
WHERE u.empid = 123
UNION
SELECT *, ( 3959 * acos( cos( radians(37) ) * cos( radians( lat ) ) * cos( radians( lng ) - radians(-122) )+ sin( radians(37) ) * sin( radians( lat ) ) ) ) AS distance
FROM user u
INNER JOIN employee e ON (u.empid = e.empid)
INNER JOIN awards a ON (u.empid = a.empid)
HAVING distance < 25
ORDER BY distance
) a
ORDER BY timestamp DESC;
i have two sql queries those are following
1) SELECT a.* FROM modzzz_listing_main as a LEFT JOIN modzzz_listing_rating as b ON a.id=b.gal_id WHERE LTRIM(a.city) = 'Houston' AND a.state = 'TX' AND a.tags LIKE '%Barber Shop%' ORDER BY b.gal_rating_sum DESC LIMIT 0 ,10
2) SELECT zip_code ,( 3959 * acos( cos( radians('41.97734070') ) * cos( radians( latitude ) ) * cos( radians( longitude ) - radians('-70.97234344') ) + sin( radians('41.97734070') ) * sin( radians( latitude ) ) ) ) AS distance FROM city_finder WHERE latitude IS NOT NULL AND longitude IS NOT NULL HAVING distance < 20 ORDER BY distance ASC
how can i combine this two queries by the condition `
modzzz_listing_main.zip=city_finder.zip_code
` .i am totally confused..please any one help me..
to see the join easier:
select * from
(
SELECT a.* FROM modzzz_listing_main as a LEFT JOIN modzzz_listing_rating as b ON a.id=b.gal_id WHERE LTRIM(a.city) = 'Houston' AND a.state = 'TX' AND a.tags LIKE '%Barber Shop%' ORDER BY b.gal_rating_sum DESC LIMIT 0 ,10
) queryA
left join
(
SELECT zip_code ,( 3959 * acos( cos( radians('41.97734070') ) * cos( radians( latitude ) ) * cos( radians( longitude ) - radians('-70.97234344') ) + sin( radians('41.97734070') ) * sin( radians( latitude ) ) ) ) AS distance FROM city_finder WHERE latitude IS NOT NULL AND longitude IS NOT NULL HAVING distance < 20 ORDER BY distance ASC
) queryB
on queryA.zip=queryB.zip_code
proper formatting
SELECT *
FROM
( SELECT a.*
FROM modzzz_listing_main AS a
LEFT JOIN modzzz_listing_rating AS b ON a.id=b.gal_id
WHERE LTRIM(a.city) = 'Houston'
AND a.state = 'TX'
AND a.tags LIKE '%Barber Shop%'
ORDER BY b.gal_rating_sum DESC LIMIT 0 ,
10 ) queryA
LEFT JOIN
( SELECT zip_code ,
(3959 * acos(cos(radians('41.97734070')) * cos(radians(latitude)) * cos(radians(longitude) - radians('-70.97234344')) + sin(radians('41.97734070')) * sin(radians(latitude)))) AS distance
FROM city_finder
WHERE latitude IS NOT NULL
AND longitude IS NOT NULL HAVING distance < 20
ORDER BY distance ASC ) queryB ON queryA.zip=queryB.zip_code
I have 3 tables
tblMarkers
tblReviews
tblImages
I want to return ALL the records from tblMarkers and a count of all the reviews and images for each marker.
To complicate it further it should return all the markers within a radius of a known point.
so the expected result would be
MarkerID-MarkerName-ReviewCount-ImageCount
1223-SomeName-0-1
This is what I have so far and this returns a count of reviews, but I cant get the right SQL to add the count of images
SELECT
`tblMarkers`.`ID`,
`tblMarkers`.`Type`,
`tblMarkers`.`Name`,
`tblMarkers`.`Latitude`,
`tblMarkers`.`Longitude`,
(3959 * acos( cos( radians('45.1') ) * cos( radians( Latitude ) ) * cos( radians( Longitude ) - radians('6') ) + sin( radians('45.1') ) * sin( radians( Latitude ) ) ) )
AS distance,
Count(`tblReviews`.`marker_id`) As reviewCount
FROM
`tblMarkers`
LEFT JOIN `tblReviews` ON `tblMarkers`.`ID` = `tblReviews`.`marker_id`
GROUP BY
`tblMarkers`.`ID`,
`tblMarkers`.`Type`,
`tblMarkers`.`Name`,
`tblMarkers`.`Latitude`,
`tblMarkers`.`Longitude`
HAVING
`distance` < '50'
ORDER BY
distance;
The Images table structure is
ID [primaryKey] (same as tblMarkers.ID)
file
title
How do I add a count of all the images?
Try this:
SELECT M.ID
, M.Type
, M.Name
, M.Latitude
, M.Longitude
, (3959 * acos(cos(radians('45.1')) * cos(radians(M.Latitude )) * cos(radians(M.Longitude) - radians('6')) + sin(radians('45.1')) * sin(radians(M.Latitude )))) AS distance
, IFNULL(COUNT(DISTINCT R.review_id) , 0) AS ReviewCount
, IFNULL(COUNT(DISTINCT I.ID), 0) AS ImageCount
FROM tblMarkers AS M
LEFT JOIN tblReviews AS R ON R.marker_id = M.ID
LEFT JOIN tblImages AS I ON I.marker_id = M.ID
GROUP BY M.ID, M.Type, M.Name, M.Latitude, M.Longitude
HAVING distance < 50
ORDER BY distance
I bet you already know LEFT JOIN. So I used COUNT(DISTINCT R.review_id)) to count all distinct review id's (just make sure that review_id is unique). In case there are no corresponding review and image record for a specific marker record, I used IFNULL(XXX , 0) to display 0.
I used ALIASES to make your query clean and neat. Feel free to ask.
IF ID field of image table is the reference of marker table ID field then the query will be:
SELECT
`tblMarkers`.`ID`,
`tblMarkers`.`Type`,
`tblMarkers`.`Name`,
`tblMarkers`.`Latitude`,
`tblMarkers`.`Longitude`,
(3959 * acos( cos( radians('45.1') ) * cos( radians( Latitude ) ) * cos( radians( Longitude ) - radians('6') ) + sin( radians('45.1') ) * sin( radians( Latitude ) ) ) )
AS distance,
Count(`tblReviews`.`marker_id`) As reviewCount,
Count(`tblImage`.`ID`) As imageCount,
FROM
`tblMarkers`
LEFT JOIN `tblReviews` ON `tblMarkers`.`ID` = `tblReviews`.`marker_id`
LEFT JOIN `tblImage` ON `tblMarkers`.`ID` = `tblImages`.`ID`
GROUP BY
`tblMarkers`.`ID`,
`tblMarkers`.`Type`,
`tblMarkers`.`Name`,
`tblMarkers`.`Latitude`,
`tblMarkers`.`Longitude`
HAVING
`distance` < '50'
ORDER BY
distance;