I am trying to select records that are older than 1 day or 24 hours from a MYSQL DB. I can't figure it out why this statement doesn't work with NOW() and it only works if I explicitly add the date manually, here is the code for your review:
date_posted is setup as "datetime" in the DB table.
Works this way (Not desirable, for testing only)
SELECT count( DISTINCT my_id ) AS 'a'
FROM my_table
WHERE date_posted >= DATE_SUB( '2015-10-03 09:10:19', INTERVAL 24 HOUR )
It should work this way, but it brings a "0" count result:
SELECT count( DISTINCT my_id ) AS 'a'
FROM my_table
WHERE date_posted >= DATE_SUB( NOW(), INTERVAL 24 HOUR )
SELECT count( DISTINCT my_id ) AS 'a'
FROM my_table
WHERE date_posted >= subdate(current_date, 1)
here subdate(current_date, 1) will return your the yesterday date
if your want to select only the yesterday post then use the following
WHERE date_posted = subdate(current_date, 1)
Related
I have a table
id user Visitor timestamp
13 username abc 2014-01-16 15:01:44
I have to 'Count' total visitors for a 'User' for last seven days group by date(not timestamp)
SELECT count(*) from tableA WHERE user=username GROUPBY __How to do it__ LIMIT for last seven day from today.
If any day no visitor came so, no row would be there so it should show 0.
What would be correct QUERY?
There is no need to GROUP BY resultset, you need to count visits for a week (with unspecified user). Try this:
SELECT
COUNT(*)
FROM
`table`
WHERE
`timestamp` >= (NOW() - INTERVAL 7 DAY);
If you need to track visits for a specified user, then try this:
SELECT
DATE(`timestamp`) as `date`,
COUNT(*) as `count`
FROM
`table`
WHERE
(`timestamp` >= (NOW() - INTERVAL 7 DAY))
AND
(`user` = 'username')
GROUP BY
`date`;
MySQL DATE() function reference.
Try this:
SELECT DATE(a.timestamp), COUNT(*)
FROM tableA a
WHERE a.user='username' AND DATEDIFF(NOW(), DATE(a.timestamp)) <= 7
GROUP BY DATE(a.timestamp);
i think it's work :)
SELECT Count(*)
from table A
WHERE user = username AND DATEDIFF(NOW(),timestamp)<=7
I have a table with: userid and timestamp each time a user opens a page a new field is inserted.
I am trying to get the total amount of hours / minutes / days / weeks that appear in a 1 month interval for multiple users.
I have tried a bunch of different queries but each have ended up terribly inefficient.
Ideally I'd like to end up with something like:
userid | minutes | hours | days | weeks
1 10080 168 7 1
2 1440 24 1 0
Hopefully someone can shed some light on how to do this.
Below is a query that I tried:
SELECT
w.time AS `week`,
d.time AS `day`,
h.time AS `hour`,
m.time AS `minutes`
FROM (
SELECT
SUM( t.time ) AS `time`
FROM (
SELECT
COUNT( DISTINCT WEEK( `timestamp` ) ) AS `time`
FROM table
WHERE
userid = "1"
AND
`timestamp` > DATE_SUB( NOW( ) , INTERVAL 1 MONTH )
GROUP BY MONTH( `timestamp` )
) t
) w,
(
SELECT
SUM( t.time ) AS `time`
FROM (
SELECT
COUNT( DISTINCT DAY( `timestamp` ) ) AS `time`
FROM table
WHERE
userid = "52"
AND
`timestamp` > DATE_SUB( NOW( ) , INTERVAL 1 MONTH )
GROUP BY MONTH( `timestamp` )
) t
) d,
(
SELECT
SUM( t.timestamp ) AS `time`
FROM (
SELECT
COUNT( DISTINCT HOUR( `timestamp` ) ) AS `time`
FROM table
WHERE
userid = "1"
AND
`timestamp` > DATE_SUB( NOW( ) , INTERVAL 1 MONTH )
GROUP BY DAY( `timestamp` )
) t
) h,
(
SELECT
SUM( t.timestamp ) AS `time`
FROM (
SELECT
COUNT( DISTINCT MINUTE( `timestamp` ) ) AS `time`
FROM table
WHERE
userid = "1"
AND
`timestamp` > DATE_SUB( NOW( ) , INTERVAL 1 MONTH )
GROUP BY HOUR( `timestamp` )
) t
) m
It seems awfully excessive for this task, maybe someone has something better?
It's not clear to me what you want to "total".
If you want to determine whether a user had a "hit" (or whatever transaction it is you are storing in the table) at any given minute within the month), and then you want to count the number of "minute periods" within a month that a user had a hit:
SELECT t.userid
, COUNT(DISTINCT DATE_FORMAT(t.timestamp,'%Y-%m-%d %H:%i')) AS minutes
, COUNT(DISTINCT DATE_FORMAT(t.timestamp,'%Y-%m-%d %H' )) AS hours
, COUNT(DISTINCT DATE_FORMAT(t.timestamp,'%Y-%m-%d' )) AS days
, COUNT(DISTINCT DATE_FORMAT(t.timestamp,'%X-%V' )) AS weeks
FROM mytable t
WHERE t.timestamp >= '2012-06-01'
AND t.timestamp < '2012=07-01'
GROUP BY t.userid
What this is doing is taking each timestamp, and putting it into a "bucket", by chopping off the seconds, chopping off the minutes, chopping off the time, etc.
Basically, we're taking a timestamp (e.g. '2012-07-25 23:15:30') and assigning it to
minute '2012-07-25 23:15'
hour '2012-07-25 23'
day '2012-07-25'
A timestamp of '2012-07-25 23:25:00' would get assigned to
minute '2012-07-25 23:25'
hour '2012-07-25 23'
day '2012-07-25'
Then we go through and count the number of distinct buckets we assigned a timestamp to. If that's all the hits for this user in the month, the query would return a 2 for minutes, and a 1 for all other period counts.
For a user with a single hit within the month, all the counts for that user will be a 1.
For a user that has all their "hits" within exactly the same minute, the query will again return a 1 for all the counts.
(For a user with no "hits" within a month, no row will be returned. (You'd need to join another row source to get a list of users, if you wanted to return zero counts.)
For a user with a "hit" every second within a single day, this query will return counts like that shown for userid 2 in your example.
This result set gives you a kind of an indication of a user's activity for a month... how many "minute periods" within a month the user was active.
The largest value that could be returned for "days" would be the number of days in the month. The largest possible value to be returned for "hours" would be 24 times the number of days in the month times. The largest possible value returned for "minutes" would be 1440 times the number of days in the month.
But again, it's not entirely clear to me what result set you want to return. But this seems like a much more reasonable result set than the one from the previously "selected" answer.
SELECT userid, SUM(MINUTE(timestamp)) AS minutes, SUM(MINUTE(timestamp))/60 AS hours, SUM(MINUTE(timestamp))/(60*24) AS days, SUM(MINUTE(timestamp))/(60*24*7) AS weeks
FROM Table
GROUP BY userid
If neccesary, use ROUND(SUM(MINUTE(timestamp)), 0) if you want integer numbers.
Should be fairly self-explanatory; any idea why I can't do:
select user_id from my_table where created_at<date_add(min(created_at), INTERVAL 1 MINUTE)
I'm trying to only return rows that have been created within a minute of the earliest timestamp. Thanks!
You should use HAVING instead of WHERE when dealing with aggregate functions... Still, your query will be a bit more complex, I guess:
SELECT user_id,
created_at, (
SELECT DATE_ADD(MIN(created_at), INTERVAL 1 MINUTE)
FROM my_table
) AS earliest
FROM my_table t1
HAVING created_at < earliest;
Here's a SQLFiddle to play with. )
Try this:
SELECT user_id
FROM my_table
WHERE created_at < DATE_ADD((SELECT MIN(created_at) FROM my_table), INTERVAL 1 MINUTE)
SELECT user_id FROM my_table
WHERE created_id <
(
SELECT (min_dt + INTERVAL 1 MINUTE) mindt FROM
(SELECT MIN(created_id) min_dt FROM my_table) A
);
SELECT * FROM `user`
WHERE name !='' AND `date_created` BETWEEN DATE_SUB( CURDATE( ) ,INTERVAL 3 Day )
AND DATE_SUB( CURDATE( ) ,INTERVAL 0 Day )
ORDER BY `date` ASC
The above query brings record 3day before from todays date.
but i need 3day records from today,which means tomorrow , day after tomorrow etc.
date_created is mysql date format.
SELECT * FROM `user`
WHERE name !=''
AND `date_created` BETWEEN curdate() and curdate() + interval 3 day
ORDER BY `date`
I have created this will return previous 3 days record
select * from events where DATEOFEVENT IN (select date(curdate()-3 ))
I'm trying to collect the number of distinct visits in my cp yesterday, then count them.
SELECT
DISTINCT `user_id` as user,
`site_id` as site,
`ts` as time
FROM
`cp_visits`
WHERE
ts >= DATE_SUB(NOW(), INTERVAL 1 DAY)
For some reason this is pulling multiple results with the same site id....how do i only pull and count the distinct site_id cp logins?
Select
Count(Distinct user_id) As countUsers
, Count(site_id) As countVisits
, site_id As site
From cp_visits
Where ts >= DATE_SUB(NOW(), INTERVAL 1 DAY)
Group By site_id
Overall
SELECT
COUNT(DISTINCT `site_id`) as distinct_sites
FROM `cp_visits`
WHERE ts >= DATE_SUB(NOW(), INTERVAL 1 DAY)
Or per site
SELECT
`site_id` as site,
COUNT(DISTINCT `user_id`) as distinct_users_per_site
FROM `cp_visits`
WHERE ts >= DATE_SUB(NOW(), INTERVAL 1 DAY)
GROUP BY `site_id`
Having the time column in the result doesn't make sense - since you are aggregating the rows, showing one particular time is irrelevant, unless it is the min or max you are after.
You need to use a group by clause.
SELECT site_id, MAX(ts) as TIME, count(*) group by site_id