I have the following sql query:
SELECT v.venue_id, s.zip, COUNT( * )
FROM bcs_scans s
JOIN bcs_scanners sc ON s.uuid = sc.uuid
JOIN bcs_venues v ON sc.venue_id = v.venue_id
WHERE v.banlist_id = '625'
AND s.del =0
GROUP BY s.zip
ORDER BY COUNT( * ) DESC
Which returns the count of individual zip codes, their count, and associated venue.
How do I go about selecting the top 5 zip codes for each unique venue id?
I believe I can run a subquery that groups results by venue id with the top 5 zip counts, but I am unsure of where to start
Could be you select the result in this way ... a bit complex ..
using the having for extract the value that match the max count group by venue_id from your original query ..
SELECT v.venue_id as venue_id, s.zip as , COUNT( * ) as num
FROM bcs_scans s
JOIN bcs_scanners sc ON s.uuid = sc.uuid
JOIN bcs_venues v ON sc.venue_id = v.venue_id
WHERE v.banlist_id = '625'
AND s.del =0
GROUP BY s.zip
HAVING ( v.venue_id, COUNT( * )) in
(select venue_id, max(num)
from
(SELECT v.venue_id as venue_id, s.zip as , COUNT( * ) as num
FROM bcs_scans s
JOIN bcs_scanners sc ON s.uuid = sc.uuid
JOIN bcs_venues v ON sc.venue_id = v.venue_id
WHERE v.banlist_id = '625'
AND s.del =0
GROUP BY s.zip
ORDER BY COUNT( * ) DESC ) a t
group by venue_id)
ORDER BY COUNT( * ) limit 5
Related
I have 3 table
tmp (pid,title,price)
tmp_studyarea(areaid, tittle, tm_pid)
tmp_module(mid,title, duration, areaid)
I am trying to write a query where I can obtain (tmp.pid, tmp.title, tmp.price, SUM(tmp_module.duration Where tmp_module.areaid = tmpstudyarea.areaid and tmp_studyarea.tmp_pid = tmp.pid) Group by tmp.pid
Here is a query I wrote and i'm unable to get expected results. Help please
SELECT s.title, s.pid, SUM(duration) IN (SELECT a.tmpid, a.areaid, a.title, SUM(m.duration) as duration FROM tmp_studyarea AS a, tmp, tmp_module as m WHERE m.areaid = a.areaid AND a.tmpid = s.pid GROUP BY a.areaid) FROM tmp as s;
Here is my expected resultst
title
pid
duration
tmp Title 1
1
3000
tmp Title 3
4
1000
EDIT
Found a solution
SELECT DISTINCT s.title,s.pid, (SELECT SUM(m.duration) as duration FROM tmp_studyarea AS a, tmp_module as m WHERE m.areaid = a.areaid AND a.tmpid = s.pid GROUP BY a.tmpid) as duration FROM tmp as s, tmp_studyarea, tmp_module GROUP by pid
You must join the 3 tables properly and aggregate:
SELECT t.pid, t.title, t.price,
SUM(m.duration) total_duration
FROM tmp t
INNER JOIN tmp_studyarea s ON s.tmp_pid = t.pid
INNER JOIN tmp_module m ON m.areaid = s.areaid
GROUP BY t.pid, t.title, t.price
Here's the query:
SELECT h.idhour, h.`hour`, outnumber, count(*) as `count`, sum(talktime) as `duration`
FROM (
SELECT
`cdrs`.`dcustomer` AS `dcustomer`,
(CASE
WHEN (`cdrs`.`cnumber` like "02%") THEN '02'
WHEN (`cdrs`.`cnumber` like "05%") THEN '05'
END) AS `outnumber`,
FROM_UNIXTIME(`cdrs`.`start`) AS `start`,
(`cdrs`.`end` - `cdrs`.`start`) AS `duration`,
`cdrs`.`talktime` AS `talktime`
FROM `cdrs`
WHERE `cdrs`.`start` >= #_START and `cdrs`.`start` < #_END
AND `cdrs`.`dtype` = _LATIN1'external'
GROUP BY callid
) cdr
JOIN customers c ON c.id = cdr.dcustomer
LEFT JOIN hub.hours h ON HOUR(cdr.`start`) = h.idhour
WHERE (c.parent = _ID or cdr.dcustomer = _ID or c.parent IN
(SELECT id FROM customers WHERE parent = _ID))
GROUP BY h.idhour, cdr.outnumber
ORDER BY h.idhour;
The above query results skips the hours where there is no data, but I need to show all hours (00:00 to 23:00) with null or 0 values. How can I do this?
SELECT h.idhour
, h.hour
,IFNULL(outnumber,'') AS outnumber
,IFNULL(cdr2.duration,0) AS duration
,IFNULL(output_count,0) AS output_count
FROM hub.hours h
LEFT JOIN (
SELECT HOUR(start) AS start,outnumber, SUM(talktime) as duration ,COUNT(1) AS output_count
FROM
(
SELECT cdrs.dcustomer AS dcustomer
, (CASE WHEN (cdrs.cnumber like "02%") THEN '02' WHEN (cdrs.cnumber like "05%") THEN '05' END) AS outnumber
, FROM_UNIXTIME(cdrs.start) AS start
, (cdrs.end - cdrs.start) AS duration
, cdrs.talktime AS talktime
FROM cdrs cdrs
INNER JOIN customers c ON c.id = cdrs.dcustomer
WHERE cdrs.start >= #_START and cdrs.start < #_END AND cdrs.dtype = _LATIN1'external'
AND
(c.parent = _ID or cdrs.dcustomer = _ID or c.parent IN (SELECT id FROM customers WHERE parent = _ID))
GROUP BY callid
) cdr
GROUP BY HOUR(start),outnumber
) cdr2
ON cdr2.start = h.idhour
ORDER BY h.idhour
You need a table with all hours, nothing else.
Then use LEFT JOIN with the hours table on the "left" and your current query on the "right":
SELECT b.*
FROM hours h
LEFT JOIN ( ... ) b ON b.hr = h.hr
WHERE h.hr BETWEEN ... AND ...
ORDER BY hr;
Any missing hours will be NULLs in b.*.
I have a query that basically combines tables of actions and selects from them in chronological order while preserving pagination..
Is there a more efficient / better way to do this? The query takes 3 seconds. Not terrible.. but I think there is room for improvement and I will be using it alot..
Thanks!
SELECT
`newsletters_subscribers`.`email`,
`newsletters_subscribers`.`first_name`,
`newsletters_subscribers`.`last_name`,
`newsletters_subscribers`.`id` AS subscriber_id,
COUNT(DISTINCT newsletters_opens.id) AS opens,
COUNT(DISTINCT newsletters_clicks.id) AS clicks,
COUNT(DISTINCT newsletters_forwards.id) AS forwards
FROM `thebookrackqccom_newsletters_subscribers` newsletters_subscribers
LEFT JOIN
`thebookrackqccom_newsletters_opens` newsletters_opens
ON `newsletters_opens`.`subscriber_id` = `newsletters_subscribers`.`id`
AND newsletters_opens.newsletter_id = 1
LEFT JOIN
`thebookrackqccom_newsletters_clicks` newsletters_clicks
ON `newsletters_clicks`.`subscriber_id` = `newsletters_subscribers`.`id`
AND newsletters_clicks.newsletter_id = 1
LEFT JOIN
`thebookrackqccom_newsletters_forwards` newsletters_forwards
ON `newsletters_forwards`.`subscriber_id` = `newsletters_subscribers`.`id`
AND newsletters_forwards.newsletter_id = 1
WHERE
( newsletters_opens.id IS NOT NULL
OR newsletters_clicks.id IS NOT NULL
OR newsletters_forwards.id IS NOT NULL )
GROUP BY
`newsletters_subscribers`.`id`
ORDER BY
`newsletters_subscribers`.`email` ASC
LIMIT 25
What you need is indexes that the query can use. A compound index on (newsletter_id, subscribe_id) on each one of the three tables would help.
You can also rewrite the query like this:
SELECT
s.email,
s.first_name,
s.last_name,
s.id AS subscriber_id,
COALESCE(o.opens, 0) AS opens,
COALESCE(c.clicks, 0) AS clicks,
COALESCE(f.forwards, 0) AS forwards
FROM thebookrackqccom_newsletters_subscribers AS s
LEFT JOIN
( SELECT subscriber_id,
COUNT(*) AS opens
FROM thebookrackqccom_newsletters_opens
WHERE newsletters_opens.newsletter_id = 1
) AS o ON o.subscriber_id = s.id
LEFT JOIN
( SELECT subscriber_id,
COUNT(*) AS clicks
FROM thebookrackqccom_newsletters_clicks
WHERE newsletter_id = 1
) AS c ON c.subscriber_id = s.id
LEFT JOIN
( SELECT subscriber_id,
COUNT(*) AS forwards
FROM thebookrackqccom_newsletters_forwards
WHERE newsletter_id = 1
) AS f ON f.subscriber_id = s.id
WHERE ( o.subscriber_id IS NOT NULL
OR c.subscriber_id IS NOT NULL
OR f.subscriber_id IS NOT NULL )
ORDER BY
s.email ASC
LIMIT 25
Try this Query i hope you get a better execution time
QUERY
SELECT
`newsletters_subscribers`.`email`,
`newsletters_subscribers`.`first_name`,
`newsletters_subscribers`.`last_name`,
`newsletters_subscribers`.`id` AS subscriber_id,
#nopen := coalesce( N_OPEN.NOPENIDCOUNT, 000000 ) as opens,
#nclick := coalesce( N_CLICK.NCLICKIDCOUNT, 000000 ) as clicks,
#nfwd := coalesce( N_FWD.NFWDIDCOUNT, 000000 ) as forwards
FROM
(select #nopen := 0,#nclick := 0,#nfwd :=0) sqlvars,
`thebookrackqccom_newsletters_subscribers` AS newsletters_subscribers
LEFT JOIN (SELECT `newsletters_opens`.`subscriber_id`,
COUNT(newsletters_opens.id) AS NOPENIDCOUNT
FROM `thebookrackqccom_newsletters_opens` AS newsletters_opens
WHERE newsletters_opens.newsletter_id = 1) AS N_OPEN
ON N_OPEN.subscriber_id = `newsletters_subscribers`.`id`
LEFT JOIN (SELECT `newsletters_clicks`.`subscriber_id`,
COUNT(newsletters_clicks.id) AS NCLICKIDCOUNT
FROM `thebookrackqccom_newsletters_clicks` AS newsletters_clicks
WHERE newsletters_clicks.newsletter_id = 1) AS N_CLICK
ON N_CLICK.subscriber_id = `newsletters_subscribers`.`id`
LEFT JOIN (SELECT `newsletters_forwards`.`subscriber_id`,
COUNT(newsletters_forwards.id) AS NFWDIDCOUNT
FROM `thebookrackqccom_newsletters_forwards` AS newsletters_forwards
WHERE newsletters_forwards.newsletter_id = 1) AS N_FWD
ON N_FWD.subscriber_id = `newsletters_subscribers`.`id`
GROUP BY `newsletters_subscribers`.`id`
ORDER BY `newsletters_subscribers`.`email` ASC
LIMIT 25
I'm selecting total count of villages, total count of population from my tables to build statistics. However, there is something wrong. It returns me everything (530 pop (there are 530 pop in total), (106 villages (there are 106 users in total)) in first row, next rows are NULLs
SELECT s1_users.id userid, (
SELECT count( s1_vdata.wref )
FROM s1_vdata, s1_users
WHERE s1_vdata.owner = userid
)totalvillages, (
SELECT SUM( s1_vdata.pop )
FROM s1_users, s1_vdata
WHERE s1_vdata.owner = userid
)pop
FROM s1_users
WHERE s1_users.dp >=0
ORDER BY s1_users.dp DESC
Try removing s1_users from inner SELECTS
You're already using INNER JOINs. Whan you list tables separated with comma, it is a shortcut for INNER JOIN.
Now, the most obvious answer is that your subqueries using aggregating functions (COUNT and SUM) are missing a GROUP BY clauses.
SELECT s1_users.id userid, (
SELECT count( s1_vdata.wref )
FROM s1_vdata, s1_users
WHERE s1_vdata.owner = userid
GROUP BY s1_vdata.owner
)totalvillages, (
SELECT SUM( s1_vdata.pop )
FROM s1_users, s1_vdata
WHERE s1_vdata.owner = userid
GROUP BY s1_vdata.owner
)pop
FROM s1_users
WHERE s1_users.dp >=0
ORDER BY s1_users.dp DESC
However, using subqeries in column list is really inefficient. It casues subqueries to be run once for each row in outer query.
Try like this instead
SELECT
s1_users.id AS userid,
COUNT(s1_vdata.wref) AS totalvillages,
SUM(s1.vdata.pop) AS pop
FROM
s1_users, s1_vdata --I'm cheating here! There's hidden INNER JOIN in this line ;P
WHERE
s1_users.dp >= 0
AND s1_users.id = s1_vdata.owner
GROUP BY
s1_users.id
ORDER BY
s1_users.dp DESC
SELECT s1_users.id AS userid,
(
SELECT COUNT(*)
FROM s1_vdata
WHERE s1_vdata.owner = userid
) AS totalvillages,
(
SELECT SUM(pop)
FROM s1_vdata
WHERE s1_vdata.owner = userid
) AS pop
FROM s1_users
WHERE dp >= 0
ORDER BY
dp DESC
Note that this is less efficient than this query:
SELECT s1_users.id AS user_id, COUNT(s1_vdata.owner), SUM(s1_vdata.pop)
FROM s1_users
LEFT JOIN
s1_vdata
ON s1_vdata.owner = s1_users.id
GROUP BY
s1_users.id
ORDER BY
dp DESC
since the aggregation needs to be done twice in the former.
SELECT userid,totalvillages,pop from
(
SELECT s1_users.id as userid, count( s1_vdata.wref ) as totalvillages
FROM s1_vdata, s1_users
WHERE s1_vdata.owner = userid
GROUP BY s1_users.id) tabl1 INNER JOIN
(
SELECT s1_users.id as userid, SUM( s1_vdata.pop ) as pop
FROM s1_users, s1_vdata
WHERE s1_vdata.owner = userid
GROUP BY s1_users.id) tabl2 on tabl1.userid = tabl2.userid
I have 2 tables of concern - 'videoComments', 'storyComments'.
I need to find the 'posterID' that has the most entries in videoComments and storyComments. Here's the code I have so far, but it only calls videoComments:
$sql = "SELECT (SELECT posterID
FROM videoComments
GROUP BY posterID
ORDER BY COUNT(posterID) DESC LIMIT 1) ) AS mostSocialUser ";
How do I pull it and compare the COUNT of posterID from both tables?
Use:
SELECT x.posterid,
COUNT(y.posterid) + COUNT(z.posterid) AS numComments
FROM (SELECT vc.posterid
FROM VIDEOCOMMENTS vc
UNION
SELECT sc.posterid
FROM STORYCOMMENTS sc) x
LEFT JOIN VIDEOCOMMENTS y ON y.posterid = x.posterid
LEFT JOIN STORYCOMMENTS z ON z.posterid = x.posterid
GROUP BY x.posterid
ORDER BY numComments DESC
LIMIT 1
Try this:
SELECT (
SELECT posterID FROM (
SELECT posterID FROM videoComments
UNION
SELECT posterID FROM storyComments
) GROUP BY posterID
ORDER BY COUNT(posterID) DESC LIMIT 1
) AS mostSocialUser