Mysql Table:
I want to take sum of acceleCount for 2 minutes intervals.
Query:
select time div 120000 as TwoMinutes,
sum(acceleCount) as Sum
from acceleTable
group by time div 120000
Result:
Here the twoMinutes column timestamp is meaning less. I want it to have a timestamp which is within the considering two minutes.
Any thoughts on how to change the sql query?
Bring the timestamps to a common denominator by dividing, rounding and multiplying:
SELECT
(ROUND(time / 120) * 120),
sum(acceleCount)
FROM acceleTable
GROUP BY (ROUND(time / 120) * 120)
A little optimized way to do it
SELECT (ROUND(time / 120000) * 120000) AS timekey, sum(acceleCount)
FROM acceleTable
GROUP BY timekey
Related
I have a real time data table with time stamps for different data points
Time_stamp, UID, Parameter1, Parameter2, ....
I have 400 UIDs so each time_stamp is repeated 400 times
I want to write a query that uses this table to check if the real time data flow to the SQL database is working as expected - new timestamp every 5 minute should be available
For this what I usually do is query the DISTINCT values of time_stamp in the table and order descending - do a visual inspection and copy to excel to calculate the difference in minutes between subsequent distinct time_stamp
Any difference over 5 min means I have a problem. I am trying to figure out how I can do something similar in SQL, maybe get a table that looks like this. Tried to use LEAD and DISTINCT together but could not write the code myself, im just getting started on SQL
Time_stamp, LEAD over last timestamp
Thank you for your help
You can use lag analytical function as follows:
select t.* from
(select t.*
lag(Time_stamp) over (order by Time_stamp) as lg_ts
from your_Table t)
where timestampdiff('minute',lg_ts,Time_stamp) > 5
Or you can also use the not exists as follows:
select t.*
from your_table t
where not exists
(select 1 from your_table tt
where timestampdiff('minute',tt.Time_stamp,t.Time_stamp) <= 5)
and t.Time_stamp <> (select min(tt.Time_stamp) from your_table tt)
lead() or lag() is the right approach (depending on whether you want to see the row at the start or end of the gap).
For the time comparison, I recommend direct comparisons:
select t.*
from (select t.*
lead(Time_stamp) over (partition by uid order by Time_stamp) as next_time_stamp
from t
) t
where next_timestamp > time_stamp + interval 5 minute;
Note: exactly 5 minutes seems unlikely. You might want a fudge factor such as:
where next_timestamp > time_stamp + interval 5*60 + 10 second;
timestampdiff() counts the number of "boundaries" between two values. So, the difference in minutes between 00:00:59 and 00:01:02 is 1. And the difference between 00:00:00 and 00:00:59 is 0.
So, a difference of "5 minutes" could really be 4 minutes and 1 second or could be 5 minutes and 59 seconds.
I want to extract la values from the last recording of the previous hour.
The Table have: DateHour (TIMESTAMP) and Energy (FLOAT)
Id________DateHour_____________Energy
..........................................................................
18350____2019-10-05 18:57:44____231.38
18351____2019-10-05 18:59:45____231.33
..........................................................................
..........................................................................
18400____2019-10-05 19:51:00_____123.35
The time now is 19:51:15 let say.
I want to select the value with ID 18351 in the example above. I want to work even when the day changes.
Tied:
select *
from table1
where DateHour> (unix_timestamp()*1000 - 60*60*1000);
Not good.
Assuming you are using MySQL (which the code looks like):
select t1.*
from table1 t1
where datehour >= cast(date_format(now() - interval 1 hour, '%Y-%m-%d %h:00') as datetime) and
datehour < cast(date_format(now(), '%Y-%m-%d %H:00') as datetime)
order by datehour desc
limit 1;
MySQL doesn't have a convenient function (like date_trunc() in Postgres) that rounds a date/time value down to a particular unit. In this case, it uses string conversion for this purpose.
Note that the structure of the query makes it possible to use an index on datehour. That is important if an index is available and your table is large.
I have a table that contains sensor data with a column timestamp that holds the unix timestamp of the time the sensor measurement has been taken.
Now I would like to SELECT all measurements within a certain date/time range with a specific time step.
I figured the first part out myself like you can see in my posted code snippet below.
// With $date_start and $date_stop in the format: '2010-10-01 12:00:00'
$result = mysqli_query($connection, "SELECT sensor_1
FROM sensor_table
WHERE timestamp >= UNIX_TIMESTAMP($date_start)
AND timestamp < UNIX_TIMESTAMP($date_stop)
ORDER BY timestamp");
Now is there a convenient way in MySQL to include a time step size into the same SELECT query?
My table contains thousands of measurements over months with one measurement taken every 5 seconds.
Now let's say I would like to SELECT measurements in between 2010-10-01 12:00:00 and 2010-10-02 12:00:00 but in this date/time range only SELECT one measurement every 10 minutes? (as my table contains measurements taken every 5 seconds).
Any smart ideas how to solve this in a single query?
(also other ideas are very welcome :))
Since you take one measurement every 5 seconds, the difference between $date_start and the first matching measurement cannot be greater than 4. We then take one entry every 600 seconds (allowing for some discrepancy from clock to clock...)
SELECT sensor_1
FROM sensor_table
WHERE timestamp >= UNIX_TIMESTAMP($date_start)
AND
timestamp < UNIX_TIMESTAMP($date_stop)
AND
((timestamp - UNIX_TIMESTAMP($date_start)) % 600) BETWEEN 0 AND 4
ORDER BY timestamp;
It is not elegant, but you can do:
SELECT s.sensor_1
FROM sensor_table s
WHERE s.timestamp >= UNIX_TIMESTAMP($date_start) AND
s.timestamp < UNIX_TIMESTAMP($date_stop) AND
s.timestamp = (SELECT MIN(s2.timestamp)
FROM sensor_table s2
WHERE s2.timestamp >= 60 * 10 * FLOOR(UNIX_TIMESTAMP(s.timestamp) / (60 * 10)) AND
s2.timestamp < s2.timestamp >= 60 * 10 * (1 + FLOOR(UNIX_TIMESTAMP(s.timestamp) / (60 * 10)))
)
ORDER BY timestamp;
This selects the first in each 10 minute period.
I think that you could use a simple cursor in plSQL
CREATE TABLE StoreValuesId
(
valueId int primary key;
)
CREATE OR REPLACE procedure_store[date_start date,date_stop date]
DECLARE date_startUpdated date , date_stopUpdated date , date_diff TIME(7) = '00:10:00'
IS
BEGIN
SELECT date_start INTO date_startUpdated;
SELECT date_stop INTO date_stopUpdated;
IF timestamp BETWEEN date_start and date_stop then
INSERT INTO StoreValuesId values(timestamp)
date_startUpdated=DATEADD(SECOND, DATEDIFF(SECOND, 0, date_diff), date_startUpdated);
date_stopUpdated=DATEADD(SECOND, DATEDIFF(SECOND, 0, date_diff), date_stopUpdated);
END IF
COMMIT;
END
Then again the syntax might be wrong but I hope you'll get the idea (haven't played with sql in a while)
select * from table where 1 and DATE_FORMAT(dateColumn,"%d-%m") BETWEEN "01-09" and "30-09"
This query is returning all the data. I just want the data between these dates, without taking into account the year.
In the table dateColumn is yyyy-mm-dd.
You need to do the comparison as MM-DD, not DD-MM:
select *
from table
where DATE_FORMAT(dateColumn, '%m-%d') BETWEEN '09-01' and '09-30'
Or, for this case, you could just do:
where month(dateColumn) = 9
Try this:
SELECT *
FROM table
WHERE MONTH(dateColumn) = 9
You can check if the month is September
select * from table where DATE_FORMAT(dateColumn,"%m")
= '09
If you want rows from your table where the month of your date is 9 and the day of month is between 1 and 30, you can actually do this quite easy and more explicit:
SELECT
*
FROM
table t
WHERE
MONTH(t.date) = 9 and
DAY(t.date) BETWEEN 1 and 30
It's also easier to understand.
Assume this table:
id date
----------------
1 2010-12-12
2 2010-12-13
3 2010-12-18
4 2010-12-22
5 2010-12-23
How do I find the average intervals between these dates, using MySQL queries only?
For instance, the calculation on this table will be
(
( 2010-12-13 - 2010-12-12 )
+ ( 2010-12-18 - 2010-12-13 )
+ ( 2010-12-22 - 2010-12-18 )
+ ( 2010-12-23 - 2010-12-22 )
) / 4
----------------------------------
= ( 1 DAY + 5 DAY + 4 DAY + 1 DAY ) / 4
= 2.75 DAY
Intuitively, what you are asking should be equivalent to the interval between the first and last dates, divided by the number of dates minus 1.
Let me explain more thoroughly. Imagine the dates are points on a line (+ are dates present, - are dates missing, the first date is the 12th, and I changed the last date to Dec 24th for illustration purposes):
++----+---+-+
Now, what you really want to do, is evenly space your dates out between these lines, and find how long it is between each of them:
+--+--+--+--+
To do that, you simply take the number of days between the last and first days, in this case 24 - 12 = 12, and divide it by the number of intervals you have to space out, in this case 4: 12 / 4 = 3.
With a MySQL query
SELECT DATEDIFF(MAX(dt), MIN(dt)) / (COUNT(dt) - 1) FROM a;
This works on this table (with your values it returns 2.75):
CREATE TABLE IF NOT EXISTS `a` (
`dt` date NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
INSERT INTO `a` (`dt`) VALUES
('2010-12-12'),
('2010-12-13'),
('2010-12-18'),
('2010-12-22'),
('2010-12-24');
If the ids are uniformly incremented without gaps, join the table to itself on id+1:
SELECT d.id, d.date, n.date, datediff(d.date, n.date)
FROM dates d
JOIN dates n ON(n.id = d.id + 1)
Then GROUP BY and average as needed.
If the ids are not uniform, do an inner query to assign ordered ids first.
I guess you'll also need to add a subquery to get the total number of rows.
Alternatively
Create an aggregate function that keeps track of the previous date, and a running sum and count. You'll still need to select from a subquery to force the ordering by date (actually, I'm not sure if that's guaranteed in MySQL).
Come to think of it, this is a much better way of doing it.
And Even Simpler
Just noting that Vegard's solution is much better.
The following query returns correct result
SELECT AVG(
DATEDIFF(i.date, (SELECT MAX(date)
FROM intervals WHERE date < i.date)
)
)
FROM intervals i
but it runs a dependent subquery which might be really inefficient with no index and on a larger number of rows.
You need to do self join and get differences using DATEDIFF function and get average.