I have an small application which was build with CodeIgniter 3 and need to perform a report which will be converted to Chart.js. The report should be in yearly basis but at given specific date every month. The requirement are all data count must be from 4th to 3rd monthly. Like this:
For example January Report would be from 4th January to 3rd February, 4th February to 3rd March,... and so on.
I have created a MySQL query but I'm stuck on how to get the date too date. My Query are as follows:
SELECT DATE_FORMAT(odd_date_created, '%Y') as 'year',
DATE_FORMAT(odd_date_created, '%m') as 'month',
COUNT(odd_id) as 'total', status
FROM odd_data
WHERE status = $id and
GROUP BY DATE_FORMAT(odd_date_created, '%Y%m'), status
I'm new to MySQl. Could somebody help me on this. I'm stuck where should I put the date to date query.
Firstly I want to caution you not to use "between" with the following when you come to join your data, use this method instead data.date >= r.period_start_dt and data.date < r.period_end_dt
Secondly I am assuming your data does have dates or timestamps and that will fall between the calculated ranges that follow:
set #year :=2017;
select
*
from (
select
start_dt + INTERVAL m.n MONTH period_start_dt
, start_dt + INTERVAL m.n + 1 MONTH period_end_dt
from (
select str_to_date(concat(#year,'-01-04'),'%Y-%m-%d') start_dt ) seed
cross join (select 0 n union all
select 1 union all
select 2 union all
select 3 union all
select 4 union all
select 5 union all
select 6 union all
select 7 union all
select 8 union all
select 9 union all
select 10 union all
select 11
) m
) r
## LEFT JOIN YOUR DATA
## ON data.date >= r.period_start_dt and data.date < r.period_end_dt
Example ranges: (produce you own at this demo: http://rextester.com/CHTKSA95303 )
nb dd.mm.yyyy (.de format)
+----+---------------------+---------------------+
| | period_start_dt | period_end_dt |
+----+---------------------+---------------------+
| 1 | 04.01.2017 00:00:00 | 04.02.2017 00:00:00 |
| 2 | 04.02.2017 00:00:00 | 04.03.2017 00:00:00 |
| 3 | 04.03.2017 00:00:00 | 04.04.2017 00:00:00 |
| 4 | 04.04.2017 00:00:00 | 04.05.2017 00:00:00 |
| 5 | 04.05.2017 00:00:00 | 04.06.2017 00:00:00 |
| 6 | 04.06.2017 00:00:00 | 04.07.2017 00:00:00 |
| 7 | 04.07.2017 00:00:00 | 04.08.2017 00:00:00 |
| 8 | 04.08.2017 00:00:00 | 04.09.2017 00:00:00 |
| 9 | 04.09.2017 00:00:00 | 04.10.2017 00:00:00 |
| 10 | 04.10.2017 00:00:00 | 04.11.2017 00:00:00 |
| 11 | 04.11.2017 00:00:00 | 04.12.2017 00:00:00 |
| 12 | 04.12.2017 00:00:00 | 04.01.2018 00:00:00 |
+----+---------------------+---------------------+
Given the specification, I think I would tempted to cheat it... subtract 3 days from the date. Doing that, Jan 4 backs up to Jan 1, Feb 3 backs up to Jan 31... so those all end up as January.
SELECT DATE_FORMAT(odd_date_created + INTERVAL -3 DAY, '%Y') AS `year`
, DATE_FORMAT(odd_date_created + INTERVAL -3 DAY, '%m') AS `month`
, ...
FROM ...
GROUP
BY DATE_FORMAT(odd_date_created + INTERVAL -3 DAY, '%Y')
, DATE_FORMAT(odd_date_created + INTERVAL -3 DAY, '%m')
This falls apart if there's oddball ranges... if it's not always the 4th and 3rd.
I have a database with a table containing information on some images, each row containing a createdAt date and a viewCount. The data ranges from September 2014 until today (July 2016). I want to get a monthly sum of the amount of views across all images for the month
When I run the query
SELECT YEAR(createdAt), MONTH(createdAt), SUM(viewCount)
FROM Images
GROUP BY MONTH(createdAt);
I'm only returned 12 rows with results between September 2014 and August 2015
Year | Month | Views
-------------------
2014 | 9 | 1452
2014 | 10 | 279
2014 | 11 | 34428
2014 | 12 | 4763
2015 | 1 | 2826
2015 | 2 | 777
2015 | 3 | 568
2015 | 4 | 1309
2015 | 5 | 46744
2015 | 6 | 1541
2015 | 7 | 8160
2015 | 8 | 91
If I add a date restraint it will give me the latest data, but again only 12 rows
SELECT YEAR(createdAt), MONTH(createdAt), SUM(viewCount)
FROM Images WHERE createdAt > DATE('2015-08-01 00:00:00')
GROUP BY MONTH(createdAt);
Year | Month | Views
--------------------
2015 | 8 | 981
2015 | 9 | 1031
2015 | 10 | 2566
2015 | 11 | 3325
2015 | 12 | 411
2016 | 1 | 2140
2016 | 2 | 710
2016 | 3 | 714
2016 | 4 | 1985
2016 | 5 | 426
2016 | 6 | 119
2016 | 7 | 81
I do realise that since it's July the second query stops there as that's where the data ends, but why does the first query not return all the results?
Group by year/month:
SELECT YEAR(createdAt), MONTH(createdAt), SUM(viewCount)
FROM Images
--WHERE createdAt > DATE('2015-08-01 00:00:00')
GROUP BY YEAR(createdAt), MONTH(createdAt);
Related Group by clause in mySQL and postgreSQL, why the error in postgreSQL?
Keep in mind that from MySQL 5.7.6+ your initial query may not even work because of only_full_group_by which is set by default.
You can simply add Year to you group by
SELECT YEAR(createdAt), MONTH(createdAt), SUM(viewCount)
FROM Images
GROUP BY YEAR(createdAt), MONTH(createdAt)
ORDER BY YEAR(createdAt), MONTH(createdAt)
There is a query I am trying to implement in which I am not having much success with in trying to find the MAX and MIN for each week.
I have 2 Tables:
SYMBOL_DATA (contains open,high,low,close, and volume)
WEEKLY_LOOKUP (contains a list of weeks(no weekends) with a WEEK_START and WEEK_END)
**SYMBOL_DATA Example:**
OPEN, HIGH, LOW, CLOSE, VOLUME
23.22 26.99 21.45 22.49 34324995
WEEKLY_LOOKUP (contains a list of weeks(no weekends) with a WEEK_START and WEEK_END)
**WEEKLY_LOOKUP Example:**
WEEK_START WEEK_END
2016-01-25 2016-01-29
2016-01-18 2016-01-22
2016-01-11 2016-01-15
2016-01-04 2016-01-08
I am trying to find for each WEEK_START and WEEK_END the high and low for that particular week.
For instance, if the WEEK is WEEK_START=2016-01-11 and WEEK_END=2016-01-15, I would have
5 entries for that particular symbol listed:
DATE HIGH LOW
2016-01-15 96.38 93.54
2016-01-14 98.87 92.45
2016-01-13 100.50 95.21
2016-01-12 99.96 97.55
2016-01-11 98.60 95.39
2016-01-08 100.50 97.03
2016-01-07 101.43 97.30
2016-01-06 103.77 100.90
2016-01-05 103.71 101.67
2016-01-04 102.24 99.76
For each week_ending (2016-01-15) the HIGH is 100.50 on 2016-01-13 and the LOW is 92.45 on 2016-01-14
I attempted to write a query that gives me a list of highs and lows, but when I tried adding a MAX(HIGH), I had only 1 row returned back.
I tried a few more things in which I couldn't get the query to work (some sort of infinite run type). For now, I just have this that gives me a list of highs and lows for every day instead of the roll-up for each week which I am not sure how to do.
select date, t1.high, t1.low
from SYMBOL_DATA t1, WEEKLY_LOOKUP t2
where symbol='ABCDE' and (t1.date>=t2.START_DATE and t1.date<=t2.END_DATE)
and t1.date<=CURDATE()
LIMIT 30;
How can I get for each week (Start and End) the High_Date, MAX(High), and Low_Date, MIN(LOW) found each week? I probably don't need a
full history for a symbol, so a LIMIT of like 30 or (30 week periods) would be sufficient so I can see trending.
If I wanted to know for example each week MAX(High) and MIN(LOW) start week ending 2016-01-15 the result would show
**Result:**
WEEK_ENDING 2016-01-15 100.50 2016-01-13 92.45 2016-01-14
WEEK_ENDING 2016-01-08 103.77 2016-01-06 97.03 2016-01-08
etc
etc
Thanks to all of you with the expertise and knowledge. I greatly appreciate your help very much.
Edit
Once the Week Ending list is returned containing the MAX(HIGH) and MIN(LOW) for each week, is it possible then on how to find the MAX(HIGH) and MIN(LOW) from that result set so it return then only 1 entry from the 30 week periods?
Thank you!
To Piotr
select part1.end_date,part1.min_l,part1.max_h, s1.date, part1.min_l,s2.date from
(
select t2.start_date, t2.end_date, max(t1.high) max_h, min(t1.low) min_l
from SYMBOL_DATA t1, WEEKLY_LOOKUP t2
where symbol='FB'
and t1.date<='2016-01-22'
and (t1.date>=t2.START_DATE and t1.date<=t2.END_DATE)
group by t2.start_date, t2.end_date order by t1.date DESC LIMIT 1;
) part1, symbol_data s1, symbol_data s2
where part1.max_h = s1.high and part1.min_l = s2.low;
You will notice that the MAX and MIN for each week is staying roughly the same and not changing as it should be different for week to week for both the High and Low.
SQL Fiddle
I have abbreviated some of your names in my example.
Getting the high and low for each week is pretty simple; you just have to use GROUP BY:
SELECT s1.symbol, w.week_end, MAX(s1.high) AS weekly_high, MIN(s1.LOW) as weekly_low
FROM weeks AS w
INNER JOIN symdata AS s1 ON s1.zdate BETWEEN w.week_start AND w.week_end
GROUP BY s1.symbol, w.week_end
Results:
| symbol | week_end | weekly_high | weekly_low |
|--------|---------------------------|-------------|------------|
| ABCD | January, 08 2016 00:00:00 | 103.77 | 97.03 |
| ABCD | January, 15 2016 00:00:00 | 100.5 | 92.45 |
Unfortunately, getting the dates of the high and low requires that you re-join to the symbol_data table, based on the symbol, week and values. And even that doesn't do the job; you have to account for the possibility that there might be two days where the same high (or low) was achieved, and decide which one to choose. I arbitrarily chose the first occurrence in the week of the high and low. So to get that second level of choice, you need another GROUP BY. The whole thing winds up looking like this:
SELECT wl.symbol, wl.week_end, wl.weekly_high, MIN(hd.zdate) as high_date, wl.weekly_low, MIN(ld.zdate) as low_date
FROM (
SELECT s1.symbol, w.week_start, w.week_end, MAX(s1.high) AS weekly_high, MIN(s1.low) as weekly_low
FROM weeks AS w
INNER JOIN symdata AS s1 ON s1.zdate BETWEEN w.week_start AND w.week_end
GROUP BY s1.symbol, w.week_end) AS wl
INNER JOIN symdata AS hd
ON hd.zdate BETWEEN wl.week_start AND wl.week_end
AND hd.symbol = wl.symbol
AND hd.high = wl.weekly_high
INNER JOIN symdata AS ld
ON ld.zdate BETWEEN wl.week_start AND wl.week_end
AND ld.symbol = wl.symbol
AND ld.low = wl.weekly_low
GROUP BY wl.symbol, wl.week_start, wl.week_end, wl.weekly_high, wl.weekly_low
Results:
| symbol | week_end | weekly_high | high_date | weekly_low | low_date |
|--------|---------------------------|-------------|---------------------------|------------|---------------------------|
| ABCD | January, 08 2016 00:00:00 | 103.77 | January, 06 2016 00:00:00 | 97.03 | January, 08 2016 00:00:00 |
| ABCD | January, 15 2016 00:00:00 | 100.5 | January, 13 2016 00:00:00 | 92.45 | January, 14 2016 00:00:00 |
To get the global highs and lows, just remove the weekly table from the original query:
SELECT wl.symbol, wl.high, MIN(hd.zdate) as high_date, wl.low, MIN(ld.zdate) as low_date
FROM (
SELECT s1.symbol, MAX(s1.high) AS high, MIN(s1.low) as low
FROM symdata AS s1
GROUP BY s1.symbol) AS wl
INNER JOIN symdata AS hd
ON hd.symbol = wl.symbol
AND hd.high = wl.high
INNER JOIN symdata AS ld
ON ld.symbol = wl.symbol
AND ld.low = wl.low
GROUP BY wl.symbol, wl.high, wl.low
Results:
| symbol | high | high_date | low | low_date |
|--------|--------|---------------------------|-------|---------------------------|
| ABCD | 103.77 | January, 06 2016 00:00:00 | 92.45 | January, 14 2016 00:00:00 |
The week table seems entirely redundant...
SELECT symbol
, WEEK(zdate)
, MIN(low) min
, MAX(high) max_high
FROM symdata
GROUP
BY symbol, WEEK(zdate);
This is a simplified example. In reality, you might use DATE_FORMAT or something like that instead.
http://sqlfiddle.com/#!9/c247f/3
Check if following query produces desired result:
select part1.end_date,part1.min_l,part1.max_h, s1.date, part1.min_l,s2.date from
(
select t2.start_date, t2.end_date, max(t1.high) max_h, min(t1.low) min_l
from SYMBOL_DATA t1, WEEKLY_LOOKUP t2
where symbol='ABCDE'
and (t1.date>=t2.START_DATE and t1.date<=t2.END_DATE)
group by t2.start_date, t2.end_date
) part1, symbol_data s1, symbol_data s2
where part1.max_h = s1.high and part1.min_l = s2.low
and (s1.date >= part1.start_date and part1.end_date)
and (s2.date >= part1.start_date and part1.end_date)
I don't know if this is possible, but it'd be really awesome. I have a table of sign-ins for people who are logging time on different projects and I need to compile a report of time logged for each project for a given time period.
My table looks something like this:
id | project | time_in | time_out | break
----------------------------------------------------------------
1 | 1 | 2014-12-07 05:00:00 | 2014-12-07 10:00:00 | 30
2 | 2 | 2014-12-07 06:00:00 | 2014-12-07 13:00:00 | 15
3 | 1 | 2014-12-07 14:00:00 | 2014-12-07 18:00:00 | 0
4 | 3 | 2014-12-07 08:30:00 | 2014-12-07 18:45:00 | 75
5 | 2 | 2014-12-07 12:00:00 | 2014-12-07 16:30:00 | 0
What I'd like to be able to do is get a report of the time logged for each project given a date range, i.e. the total time, probably in seconds, logged for each project.
time_in and time_out are fields of type TIMESTAMP; break is an integer representing the number of minutes the person was on break. I need to get the sum of time_out - time_in - break for each project, e.g. for December 7:
project | time
---------------
1 | 34200
2 | 40500
3 | 34200
This is all I have so far:
SELECT DISTINCT
`project`
FROM `sign_ins`
WHERE
`time_in` >= '2014-12-07 00:00:00' AND
`time_out` <= '2014-12-08 00:00:00';
I appreciate your help on this, SO community. You guys are so brilliant.
You can get the difference in seconds by converting the date/time values to Unix time stamps. Then, just aggregate the differences using sum():
SELECT project,
SUM(UNIX_TIMESTAMP(time_out) - UNIX_TIMESTAMP(time_in) - (break * 60)) as DiffSecs
FROM `sign_ins`
WHERE `time_in` >= '2014-12-07 00:00:00' AND
`time_out` <= '2014-12-08 00:00:00'
GROUP BY project;
Assuming I have a table like the following:
id | assignment | duedate
1 | Math | 2012-01-01
2 | History | 2012-02-02
3 | Science | 2012-01-01
4 | Government | 2012-02-01
5 | Government | 2013-01-13
6 | History | 2013-03-13
Is it possible to make some sql query such that I get a grouping of all the dates by month and year? Is there some possibility that I could get a sorted result of:
duedatemonth | count
January 2012 | 2
Feburary 2012 | 2
January 2013 | 1
March 2013 | 1
I know you can GROUP BY duedate, but that only groups those with the same month, day, and year instead of just month and year.
Would it be then possible to even further group it such that it factors in "assignment" to obtain a resulting table of
id | duedatemonth | count
1 | January 2012 | 2
3 | January 2012 | 2
2 | Feburary 2012 | 2
4 | Feburary 2012 | 2
5 | January 2013 | 1
6 | March 2013 | 1
try this
SELECT DATE_FORMAT(duedate,'%M %Y') duedatemonth, COUNT(*) count
FROM Table1
GROUP BY year(duedate), MONTH(duedate)
DEMO HERE
will output this:
DUEDATEMONTH COUNT
January 2012 2
February 2012 2
January 2013 1
March 2013 1
Use the string functions YEAR and MONTH.
SELECT YEAR(duedate), MONTH(duedate), COUNT(*)
FROM sparkles
GROUP BY YEAR(duedate), MONTH(duedate)
Use MONTHNAME or DATE_FORMAT to get the name of the month.
You can use this query.
SELECT DATE_FORMAT(duedate, '%M %Y') duedatemonth, COUNT(1) `count`
FROM Tbl
GROUP BY DATE_FORMAT(duedate, '%M %Y')