I have table data such as this
index user date rank
11 a 1Mar 23
12 b 1Mar 16
13 a 2Mar 24
14 b 2Mar 18
What I would like to achieve via a query is this:
1Mar 2Mar
a 23 24
b 16 18
I don't know if this can be done via a single statement at the command line or if this will have to be done via a form and some scripting. Doing through scripting I can do, but can't see how to do in a single statement.
you can do pivot like below, if you know all possible values for date
or you need to use dynamic sql.
SELECT user,
MAX( CASE WHEN date ='1Mar' THEN rank else NULL end) AS '1Mar',
MAX( CASE WHEN date ='2Mar' THEN rank else NULL end) AS '2Mar'
FROM Table1
GROUP BY user
Related
I want to select data from my database when a particular column in a table has a specific data or it is not filled.
here is my sql code:
SELECT
bus.bus_id,
bus.seats,
entity.entityid,
entity.company_name,
entity.logo AS companylogo,
route.start_point,
route.drop_point,
route.boarding_time,
route.arrival_time,
FROM
loading_buses
INNER JOIN bus ON loading_buses.bus_id = bus.bus_id
INNER JOIN route ON loading_buses.route_id = route.route_id
INNER JOIN entity ON bus.entity = entity.entityid AND route.entity_id =
entity.entityid
WHERE
loading_buses.`current_date` ='23/1/2018' OR
loading_buses.`current_time` >= '00:00' AND
route.start_point = 'accra' AND
route.drop_point = 'kumasi'
ORDER BY
route.price ASC
And this is my output
SQL OUTPUT
1 49 1 STC assets/images/stc.png accra kumasi 1/17/2018 20:00 1/18/2018 00:00 20 9/18/2017 7/18/2017
2 15 1 STC assets/images/stc.png accra kumasi 1/17/2018 20:00 1/18/2018 00:00 20 9/18/2017 7/18/2017
3 55 1 STC assets/images/stc.png accra kumasi 1/17/2018 20:00 1/18/2018 00:00 20 9/18/2017 7/18/2017
In my database, the column current date is has certain date which must show depending on the date inserted or if no date in the column, it must show.
So in conclusion, result from the query show show only data for the specified date and null. But Query is displaying all data in the table
current_date is used as keyword to define system date in many databases. So, please make sure It is not the case here.
current_date ='23/1/2018' --- Change date value in this condition and see if it still returns all the data.
Also, comment out this condition --- loading_buses.current_time >= '00:00'
as all the rows satisfy this condition.
if you want check for null you should use is null
WHERE loading_buses.`current_date` ='23/1/2018' OR
loading_buses.`current_time` is null
Or based on your comment you can use
WHERE loading_buses.`current_date` ='23/1/2018' AND
loading_buses.`current_time` is null
You have to use () to group your OR's:
WHERE
(loading_buses.`current_date` ='2018-01-23' OR loading_buses.`current_date` is null)
AND
route.start_point = 'accra' AND
route.drop_point = 'kumasi'
I have tried searching all over for answers but none have answered my exact issue. I have what should be a relatively simple query. However, I am very new and still learning SQL.
I need to query two columns with different dates. I want to return rows with the current number of accounts and current outstanding balance and in the same query, return rows for the same columns with data 90 days prior. This way, we can see how much the number of accounts and balance increased over the past 90 days. Optimally, I am looking for results like this:
PropCode|PropCat|Accts|AcctBal|PriorAccts|PriorBal|
----------------------------------------------------
77 |Comm | 350 | 1,000| 275 | 750
Below is my starting query. I realize it's completely wrong but I have tried numerous different solution attempts but none seem to work for my specific problem. I included it to give an idea of my needs. The accts & AcctBal columns would contain the 1/31/14 data. The PriorAcct & PriorBal columns would contain the 10/31/13 data.
select
prop_code AS PropCode,
prop_cat,
COUNT(act_num) Accts,
SUM(act_bal) AcctBal,
(SELECT
COUNT(act_num)
FROM table1
where date = '10/31/13'
and Pro_Group in ('BB','FF')
and prop_cat not in ('retail', 'personal')
and Not (Acct_Code = 53 and ACTType in (1,2,3,4,5,6,7))
)
AS PriorAccts,
(SELECT
SUM(act_bal)
FROM table1
where date = '10/31/13'
and Pro_Group in ('BB','FF')
and prop_cat not in ('retail', 'personal')
and Not (Acct_Code = 53 and ACTType in (1,2,3,4,5,6,7))
)
AS PriorBal
from table1
where date = '01/31/14'
and Pro_Group in ('BB','FF')
and prop_cat not in ('retail', 'personal')
and Not (Acct_Code = 53 and ACTType in (1,2,3,4,5,6,7))
group by prop_code, prop_cat
order by prop_cat
You can use a CASE with aggregates for this (at least in SQL Server, not sure about MySQL):
...
COUNT(CASE WHEN date='1/31/14' THEN act_num ELSE NULL END) as 'Accts'
,SUM(CASE WHEN date='1/31/14' THEN act_bal ELSE NULL END) as 'AcctBal'
,COUNT(CASE WHEN date='10/31/13' THEN act_num ELSE NULL END) as 'PriorAccts'
,SUM(CASE WHEN date='10/31/13' THEN act_bal ELSE NULL END) as 'PriorAcctBal'
....
WHERE Date IN ('1/31/14', '10/31/13')
i have a table in mysql to log user actions. Each row in the table corresponds to a user action, like login, logout etc.
The table looks like:
CREATE TABLE IF NOT EXISTS `user_activity_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`action_type` smallint NOT NULL,
`action_created` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
id user_id action_type action_created
...
22 6 1 2013-07-21 14:31:14
23 6 2 2013-07-21 14:31:16
24 8 2 2013-07-21 14:31:18
25 8 1 2013-07-21 14:45:18
26 8 0 2013-07-21 14:45:25
27 8 1 2013-07-21 14:54:54
28 8 2 2013-07-21 15:09:11
29 6 1 2013-07-21 15:09:17
30 6 2 2013-07-21 15:09:29
...
Imagine the action 1 is login and 2 is logout and that i want to find out the total time (in hours:minutes:seconds) the user with id 6 was logged in within a specific range of dates.
My first idea was to fetch all rows with either action 1 or 2 and calculate the date differences in PHP myself. This seems rather complicated and i am sure this can be done in one query with mysql, too!
What i tried was this:
SELECT TIMEDIFF(ual1.action_created, ual2.action_created) FROM user_activity_log
ual1,user_activity_log ual2 WHERE ual1.user_id = 6 AND ual2.user_id = 6 AND
ual1.action_type = 1 AND ual2.action_type = 2 AND
DATE(ual1.action_created) >= '2013-07-21' AND
DATE(ual1.action_created) <= '2013-07-21'
ORDER BY ual1.action_created
to select all login events from ual1 and all logout events from ual2 from the same user and then calculate the pairwise time difference for day 2013.7.21, which does not really work and i don't know why.
How can i calculate the total login time (sum over all time differences, date action 2 - date action 1)?
The result from the correct operation should be 2 seconds from log id pair 22,23 + 12 seconds from log id pair 29,30 = 14 seconds.
Thank you very much for your help in advance. Best regards
I think the easiest way to structure this type of query is using correlated subqueries (and, to be honest, I generally don't like correlated subqueries, but this is an exception). Your query would probably work with the right group by clause.
Here is an alternative method:
select TIMEDIFF(action_created, LogoutTS)
from (select ual.*,
(select ual2.user_activity_log
from user_activity_log ual2
where ual2.user_id = ual.user_id and
ual2.action_type = 2 and
ual2.action_created > ual.action_created
order by ual2.action_created desc
limit 1
) as LogoutTS
from user_activity_log ual
where ual.user_id = 6 and
ual.action_type = 1
) ual
To get the total, you then need to do something like sum(TIMEDIFF(action_created, LogoutTS). However, this can depend on the format of the time column. It might look something like this:
select SUM((UNIX_TIMESTAMP(LogoutTS) - UNIX_TIMESTAMP(action_created))/1000)
Or:
select sec_to_time(SUM((UNIX_TIMESTAMP(LogoutTS) - UNIX_TIMESTAMP(action_created))/1000))
I thought I had a very simple query to perform, but I can't seem to make it work.
I have this table with 2 columns:
version_id trim_id
1 15
1 25
1 28
1 30
1 35
2 12
2 25
2 33
2 48
3 11
3 25
3 30
3 32
I am trying to get any version-id's that have say a sub-set of trim_id's. Let's say all version_id's that have trim_id's 25 and 30. My obvious attempt was :
SELECT * FROM table WHERE trim_id=25 AND trim_id=30
I was expecting to have version_id 1 and 3 as a result, but instead I get nothing.
I am working with the latest version of MAMP, which has some odd behavior, like in this case it just tells me its 'LOADING' and never gives me an error message or something. But that's normally the case when there is no data to return.
This is InnoDB, if that helps.
Thanks for your input.
Your query does not work because you are using AND and the trim_id cannot have two different values at the same time, so you need to apply Relational Division to get the result.
You will need to use something similar to the following:
SELECT version_id
FROM yourtable
WHERE trim_id in (25, 30)
group by version_id
having count(distinct trim_id) = 2
See SQL Fiddle with Demo.
This will return the version_id values that have both 25 and 30. Then if you wanted to include additional columns in the final result, you can expand the query to:
select t1.version_id, t1.trim_id
from yourtable t1
where exists (SELECT t2.version_id
FROM yourtable t2
WHERE t2.trim_id in (25, 30)
and t1.version_id = t2.version_id
group by t2.version_id
having count(distinct t2.trim_id) = 2);
See SQL Fiddle with Demo
SELECT *
FROM table
WHERE trim_id IN(25,30)
I have a table, which includes the following columns and data:
id dtime instance data dtype
1 2012-10-22 10000 d 1
2 2012-10-22 10000 d 1
..
7 2012-10-22 10004 d 1
..
15 2012-10-22 10000 # 1
16 2012-10-22 10004 d 1
17 2012-10-22 10000 d 1
I want to group sequences of 'd's in the data column, with the '#' at the end of the sequence.
This could have been done by grouping via the instance column, which is an individual stream of data, however there can be multiple sequences within the stream.
I also want to end a sequence if there are no data columns in the same instance for, say, 3 seconds after the last data of that instance and no '#'s have been found within that interval.
I have managed to do exactly this using cursors and while loops, which worked reasonably well for tables with 1000s of rows, however this query will be used on far more rows eventually, and these two methods would take around a minute with a dataset of just 3-5000 rows.
Reading on this website and others, it seems that set-based logic may be the way to go, however I can think of no way to do what I need without some kind of loop on each row that compares it to every other to build the 'sequences'.
If anyone could help, or point me in the direction of something that could, it would be greatly appreciated. :)
I would ideally like the data to be output in the following format:
datacount instance lastdata dtime
20 10000 # 2012-10-22
19 10000 d 2012-10-22
22 10004 # 2012-10-22
20 10022 # 2012-10-22
Where (datacount) is a count of the number of rows in a 'sequence' (which is the data leading up to a '#' or 3 second delay), (instance) is the instance ID from the original table, (lastdata) is the last data value in the sequence, (dtime) is the datetime value of the last data value.
Let me show you how to do this for the final '#'. The time difference follows a similar idea. The key idea is to get the next '#' after the current row. For this you need a correlated subquery. After that, you can do a group by:
select groupid, count(*) as NumInSeq, max(dtime) as LastDateTime
from (select t.*,
(select min(t2.id) from t t2 where t2.id > t.id and t2.data = '#'
) as groupid
from t
) t
group by groupid
Handling the time sequence is a bit more complicated. It is something like this:
select groupid, count(*) as NumInSeq, max(dtime) as LastDateTime,
(case when sum(case when data = '#' then 1 else 0 end) > 0 then '#' else 'd' end) as FinalData
from (select t.*,
(select min(t2.id)
from t t2
where t2.id > t.id and
(t2.data = '#' or UNIX_TIMESTAMP(t2.dtime) - UNIX_TIMESTAMP(t.dtime) < 3
) as groupid
from t
) t
group by groupid