is it possible to sellect a row from a table like so
SELECT * FROM users WHERE username=? FROM date 2015-02-17 08:12:54 TO date 2015-02-17 09:12:54
Because I have a login table, and I want to check to make sure they're not bruteforcing.
Is that possible?
The syntax looks like this:
SELECT u.*
FROM users u
WHERE u.username = ? AND
u.date BETWEEN '2015-02-17 08:12:54' AND '2015-02-17 09:12:54'
If you have a large table, this query can take advantage of an index on users(username, date).
Yes its possible
The smaller date has to be listed first
Example
WHERE BETWEEN '12/19/2012' AND '1/17/2013'
Related
i have one table collecting scores and other informations like the date and the user id. I would like to get the MAX of the current month and the other fields of the row. I'm having a problem to get the other informations since with functions we cannot get other fields.
I think i should do an inner join but i don't how to make it.
Thank you.
Your question is rather vague. But if you want one row, then the idea for the solution is order by and fetch first row only.
In standard SQL, the query would look like:
select t.*
from t
where extract(year from datecol) = extract(year from current_date) and
extract(month from datecol) = extract(month from current_date)
order by t.score desc
fetch first 1 row only;
Databases often differ on database functions. For instance, many use year() and month() functions, rather than extract(). Similarly, many databases do not support fetch first 1 row only, using limit or select top instead.
Thank you, yes it does work doing this way but the idea was to use MAX (for learning purpose).
I have scores table, with the following fields: id, score, date, user_id
I would like, using MAX, to get the best and latest score of the current month along with the other fields (ie the id, date and user_id).
I am new MYSQL now i try something here is my query not accurate result
SELECT SEC_TO_TIME(SUM(TIME_TO_SEC(time))) FROM `officialbreaks` where type='out'
SELECT SEC_TO_TIME(SUM(TIME_TO_SEC(time))) FROM `officialbreaks` where type='in'
Any buddy have work on that type of situation.
OUT REQUIRED
TIMEDIFF(time where type=in, time where type=out)
3:35:30 time type=in, 03:35:30 time type=out
Output 0
You can try as per below-
SELECT DISTINCT a.userid, (TIME_TO_SEC(b.time) - TIME_TO_SEC(a.time)) AS 'time_diffrence' FROM
(SELECT userid,`time` FROM mytable WHERE `type`='in') a
JOIN (SELECT userid,`time` FROM mytable WHERE `type`='out') b ON a.userid=b.userid
It is a simple solution but there can be multiple out time against single in time and multile users etc. so there can be so many combination where query need to change.
I currently have a table with 1,100,000 rows which contains user's data.
Its format is sort of like this:
User_Id Date Action
I was wondering, instead of searching each time on the whole table for the actions that were made by a specific user on a specific date by doing the following:
SELECT Action FROM USERS_TABLE WHERE Date=08092014 AND User_Id=5
SELECT Action FROM USERS_TABLE WHERE Date=09092014 AND User_Id=5
SELECT Date FROM USERS_TABLE WHERE Action="Shopping" AND User_Id=5
SELECT Date FROM USERS_TABLE WHERE Action="Eating" AND User_Id=5
etc.
Maybe I could do something like that:
SELECT * FROM USERS_TABLE WHERE User_Id=5
And on top of this query's results I could run the above queries, which I think will result a faster execution time (correct me if I'm wrong)
Do you guys know how to do that?
You could combine all of those queries into one query using an or.
SELECT *
FROM USERS_TABLE
WHERE (Date = 09092014 OR Date = 08092014)
AND (Action="Shopping" OR Action="Eating")
AND User_Id = 5
I assume you have a table with unique users ids. if you don't, you might consider it? How can a profile be managed if there is no single entry for a single user? anyway that's not my business, but let's just assume you have such a table, with a unique field with the User_Id
it's named USERS here
SELECT Action,Date
FROM USERS
LEFT JOIN USERS_TABLE AS Actions
ON (Actions.User_Id=USERS.User_Id AND Date IN (08092014,09092014))
LEFT JOIN USERS_TABLE AS Dates
ON (Dates.User_Id=USERS.User_Id AND Action IN ("Shopping","Eating"))
WHERE USERS.User_Id=5
be sure to index User_Id, Date And Action since we are searching on them.
I would do a crosstab query, after I indexed the User_Id column -
SELECT `Date`,
SUM(IF(`Action` = 'Eating', 1, 0)) AS `Eating`,
SUM(IF(`Action` = 'Shopping', 1, 0)) AS `Shopping`
FROM `USERS_TABLE`
WHERE `User_Id` = 5
GROUP BY `Date`
You'll get a result like this -
+-------------+---------------+----------+
Date Eating Shopping
+-------------+---------------+----------+
2002-03-01 59 72
2002-03-02 28 0
2002-03-03 22 17
2002-03-04 36 13
2002-03-06 12 0
+-------------+---------------+----------+
For expediency I might store this data in a temp table (with a user id column). This can be modified to accept date ranges and other limitations. That gives me some additional flexibility down the line when I need to aggregate date from multiple users.
I think what you mean is answered by this:
select action, actiondate
from
(select *
from USERS_TABLE
where user_id = 5) as filter
Fiddle here.
The derived table basically acts as the filter you describe.
Whether it would be any faster is hard to predict - I'd run it on your production system, and see what the query plan says.
I'm trying to create a query that will select all dates between two dates
This is my query:
$query = "SELECT DISTINCT * FROM D1,D2
WHERE D1.DATE_ADDED BETWEEN '$date1' AND '$date2' AND D1.D1_ID = D2.D2_ID";
The trouble is, it is not returning anything, but not producing an error either
So I tried inputting it directly into phpMyAdmin like this
SELECT DISTINCT * FROM D1,D2
WHERE D1.DATE_ADDED BETWEEN '2011-01-01' AND '2011-12-12'
AND D1.D1_ID = D2.D2_ID`
then like this
SELECT DISTINCT * FROM D1,D2
WHERE D1.DATE_ADDED BETWEEN '2011-01-01' AND '2011-12-12'
and like this
SELECT * FROM D1
WHERE DATE_ADDED BETWEEN '2011-01-01' AND '2011-12-12'
and I just get
MySQL returned an empty result set (i.e. zero rows). ( Query took 0.0003 sec )
Yes, my tables exist, and so do the columns :)
In the first cases the lack of results could be because of the inner join. For a result to be in the set it would require a record in both tables, ie. a record from d1 would not appear unless d2 also had that id in the d2_id column. To resolve this, if that is correct for your business logic, use left join.
However, the last of your cases (without the join) suggests the reasons is a lack of matching records in the first (left) table d1.
Without the full dataset we can't really comment further, since all the code you are running is perfectly valid.
If you always want to select an entire year it is easer to select it like this:
SELECT * FROM D1 WHERE YEAR(DATE_ADDED) = 2011;
Please implement below code
SELECT DISTINCT * FROM D1,D2
WHERE D1.DATE_ADDED BETWEEN DATE_FORMAT('2011-01-01','%Y-%m-%d')
AND DATE_FORMAT('2011-12-12','%Y-%m-%d')
AND D1.D1_ID = D2.D2_ID`
I have a question about constructing a MySQL query. I have a table with one column containing values, and another column containing timestamps. What I'd like to do is get the number of distinct (unique) values for a field from a specific epoch up until various points in time so that I can plot the number of unique values over time. For example, I'd like the query result to look like the following:
Date, COUNT( DISTINCT col1)
2011-02-01, 10
2011-02-02, 16
2011-02-03, 24
etc.
Note that these values are the number of distinct values starting the same point in time. Currently to accomplish this, I'm using a loop in PHP to iterate a single query for each date and it takes forever since I have a large DB. To give a better picture, the inefficient code I'd like to replace looks like the following:
for($i=0;$i<count($dates),$i++){
$qry = "SELECT COUNT (DISTINCT `col1`) FROM `db`.`table` WHERE `Date` BETWEEN '".$EPOCH."' AND '".$dates[$i]."';";
}
Any help would be appreciated.
Thanks
If understood your question, you can use a GROUP statement:
SELECT StampCol, COUNT(DISTINCT DataCol) FROM MyTable GROUP BY StampCol
SELECT DATE_FORMAT(date_column, "%Y-%m-%d") AS date_column, COUNT(visitors) AS visitors FROM table GROUP BY DATE_FORMAT(date_column, "%Y-%m-%d") ORDER BY date_column desc"