How can I display the query in such a way to show each day between date?
SELECT job.wo_id
FROM [MES].[MESDB].[dbo].[job] AS job
WHERE job.init_sched_ent_id = 227
AND job.sched_start_time_local >= #paramStartDate
AND job.sched_finish_time_local <= #paramEndDate
I can select each day separately by function from this post but I don't know how to combines these two tables.
https://stackoverflow.com/a/44671808/8853661
You can generate dates in mySql and cross join with your select.
The good description is here : generate days from date range
Related
Objective: Pull the last 30 days of data from a table that has a variable end date
Background: I have a table that contains purchase information but this table is only updated every two weeks therefore there's a lag in the data. Some day it can be 14 days behind and others 13 or 15 days behind.
My table contains a DATE_KEY column which joins to the DATE_DIM table on this key which is where I pull my date field from. I would use GETDATE or CURRENT_DATE but this is not appropriate in my case due to the lag.
I am using Sybase IQ and I believe I can't use a select statements in the where clause to compare dates, I got the following error:
Feature, scalar value subquery (at line 63) outside of a top level SELECT list, is not supported.
This is what I was trying to do
WHERE
TIME.[DAY] >= DATEADD(dd,-30,( SELECT
MAX([TIME1].[DAY])
FROM DB.DATE_DIM TIME1
JOIN DB.PURCHASES PURC
ON TIME1.KEY = PURC.KEY))
How can I pull the most recent 30 days of data given the constraints above?
According to the Sybase IQ documentation, you can use a comparison to a subquery, hence you could add a join to the DATE_DIM to the main FROM clause, and then compare that to a subquery similar to yours, just with the DATEADD moved into it. In the following code, I assume the alias for DATE_DIM in the main FROM clause is TIME0.
WHERE
TIME0.[DAY] >= (SELECT DATEADD(dd,-30, MAX([TIME1].[DAY]))
FROM DB.DATE_DIM TIME1
JOIN DB.PURCHASES PURC
ON TIME1.KEY = PURC.KEY
)
I have been trying to retrieve the rows registered between two dates (since every time a person goes through a door a row is inserted). This way we get the "amount of visitors" on a monthly basis.
When querying the following:
select MOV_DATAHORA from LOG_CREDENCIAL
WHERE MOV_DATAHORA>'2017-01-01'`
a total of 5851 rows are shown. This is an example of a row:
2017-01-05 21:33:30.000
However when trying the following:
select MOV_DATAHORA from LOG_CREDENCIAL
WHERE MOV_DATAHORA>'2017-01-01'
AND MOV_DATAHORA<'2017-01-02'
0 rows are shown. I even tried the count(MOV_DATAHORA) statement but it still isn't working. I also tried with the BETWEEN statement unsuccessfully. Any ideas why?
Well... the simplest explanation based on your query predicate:
WHERE MOV_DATAHORA > '2017-01-01'
AND MOV_DATAHORA < '2017-01-02'
is that on January 1st (right after the New years) there were no visitors.
You are comparing a DateTime and a Date data types. Your table has a DateTime as you can see the 21:33:30.000 after the date, to convert and compare like types do the following.
SELECT MOV_DATAHORA FROM LOG_CREDENCIAL WHERE DATE(MOV_DATAHORA)>'2017-01-01'
AND DATE(MOV_DATAHORA)<'2017-01-02'
or using between
SELECT MOV_DATAHORA FROM LOG_CREDENCIAL WHERE DATE(MOV_DATAHORA) BETWEEN '2017-01-01'
AND '2017-01-02'
I have a table (lets call it AAA) containing 3 colums ID,DateFrom,DateTo
I want to write a query to return all the records that contain (even 1 day) within the period DateFrom-DateTo of a specific year (eg 2016).
I am using SQL Server 2005
Thank you
Another way is this:
SELECT <columns list>
FROM AAA
WHERE DateFrom <= '2016-12-31' AND DateTo >= '2016-01-01'
If you have an index on DateFrom and DateTo, this query allows Sql-Server to use that index, unlike the query in Max xaM's answer.
On a small table you will probably see no difference but on a large one there can be a big performance hit using that query, since Sql-Server can't use an index if the column in the where clause is inside a function
Try this:
SELECT * FROM AAA
WHERE DATEPART(YEAR,DateFrom)=2016 OR DATEPART(YEAR,DateTo)=2016
Well you can use the following query
select * from Table1
WHERE DateDiff(day,DateFrom,DateTo)>0
AND YEAR(DateFrom) = YEAR(DateTo)
And here is the result:
Enjoy :D !
I have SQL like this (where $ytoday is 5 days ago):
$sql = 'SELECT Count(*), created_at FROM People WHERE created_at >= "'. $ytoday .'" AND GROUP BY DATE(created_at)';
I want this to return a value for every day, so it would return 5 results in this case (5 days ago until today).
But say Count(*) is 0 for yesterday, instead of returning a zero it doesn't return any data at all for that date.
How can I change that SQLite query so it also returns data that has a count of 0?
Without convoluted (in my opinion) queries, your output data-set won't include dates that don't exist in your input data-set. This means that you need a data-set with the 5 days to join on to.
The simple version would be to create a table with the 5 dates, and join on that. I typically create and keep (effectively caching) a calendar table with every date I could ever need. (Such as from 1900-01-01 to 2099-12-31.)
SELECT
calendar.calendar_date,
Count(People.created_at)
FROM
Calendar
LEFT JOIN
People
ON Calendar.calendar_date = People.created_at
WHERE
Calendar.calendar_date >= '2012-05-01'
GROUP BY
Calendar.calendar_date
You'll need to left join against a list of dates. You can either create a table with the dates you need in it, or you can take the dynamic approach I outlined here:
generate days from date range
I have 3 tables :
weather_data (hourly_date, rain)
weather_data_calculated (hourly_date, calc_value)
weather_data_daily (daily_date, daily_value)
I would like to get a list of DAILY value from these 3 tables using this select :
SELECT daily_date, daily_value, SUM(rain), MAX(calc_value)
The SUM and the MAX need to be done for all the hour of the day.
This is what I did :
SELECT
date_format(convert_tz(daily_date, 'GMT', 'America/Los_Angeles'), '%Y-%m-%d 00:00:00') as daily_date_gmt,
daily_value,
SUM(rain),
MAX(calc_value)
FROM weather_data_daily wdd, weather_data wd, weather_data_calculated wdc
WHERE daily_date_gmt=date_format(convert_tz(wd.hourly_date, 'GMT', 'America/Los_Angeles'), '%Y-%m-%d 00:00:00')
and daily_date_gmt=date_format(convert_tz(wdc.hourly_date, 'GMT', 'America/Los_Angeles'), '%Y-%m-%d 00:00:00')
group by daily_date_gmt
order by daily_date_gmt;
This didn't work because I don't know how to deal with the group by in this case.
I also try to use a temporary table but without success too.
Thanks for your help!
Either include daily_value in your group by, or use two queries. One will contain the date column and the two aggregates, the other will contain the date column and daily value. you can then use a single outer query to join these result sets on the date column.
EDIT: You say in your comment that including daily_value in the group by means the query doesn't complete. This is because (probably) you have no join criteria between all the tables your query includes. This will result in a potentially VERY large result set which would take a very long time. I don't mind helping with the actual SQL but you will need to update your question so that we can see which fields are coming from which tables.
Assuming you only have one entry for daily_date, daily_value in 'weather_data_daily' you should
GROUP BY daily_date, daily_value, then your aggregrations (SUM and MAX) will operate on the correct grouping.
try this:
select a.daily_date, a.daily_value, SUM(b.rain), MAX(c.calc_value)
from weather_data_daily a,weather_data b,weather_data_calculated c
where convert(varchar, a.daily_date, 101)=convert(varchar, b.hourly_date, 101)
and convert(varchar, a.daily_date, 101)=convert(varchar, c.hourly_date, 101)
group by a.daily_date, a.daily_value
You have to connect the tables together somehow (this uses an inner join). This requires getting the hourly dates and other dates in the same format. This gives them the format MM/DD/YYYY.