Here is my dilemma. I have a field in the SQL database, called booking_date. The date is in a format like this
2014-10-13 12:05:58.533
I would like to be able to compute a count of bookings for each date (not date time) as well as a running total.
So my report would look something like so
My SQL code is like so
SELECT
dbo.book.create_time,
replace(convert(nvarchar, dbo.book.create_time, 106),' ', '/') as bookingcreation,
count(*) as Book_Count
FROM
....tables here
However, my count calculation is counting the date based of this type of date format > 2014-10-13 12:05:58.533 which is not computing correctly.
So instead, I'm getting this:
Also, I am not sure how to compute the running total. But I first need to get the count correctly.
Any help is greatly appreciated.
You seem to be using SQL Server. To get the count by day:
SELECT cast(dbo.book.create_time as date) as create_date
count(*) as Book_Count
FROM ...tables here
GROUP BY cast(dbo.book.create_time as date)
ORDER BY create_date;
You can get the cumulative sum in SQL Server 2012+ using the cumulative sum function:
SELECT cast(dbo.book.create_time as date) as create_date
count(*) as Book_Count,
sum(count(*)) over (order by cast(dbo.book.create_time as date) ) as Running_Count
FROM ...tables here
GROUP BY cast(dbo.book.create_time as date)
ORDER BY create_date;
In earlier versions, you can do something similar with a correlated subquery or cross apply.
EDIT:
In SQL Server 2008, you can do:
WITH t as (
SELECT cast(dbo.book.create_time as date) as create_date
count(*) as Book_Count
FROM ...tables here
GROUP BY cast(dbo.book.create_time as date)
)
SELECT t.create_date, t.Book_Count,
(SELECT SUM(Book_Count)
FROM t t2
WHERE t2.create_date <= t.create_date
) as Running_Count
FROM t
ORDER BY create_date;
Try to use trunc(book.create_time) in your query instead of the conversion you're doing
Related
I have the following query that I am trying to run on Athena.
SELECT observation_date, COUNT(*) AS count
FROM db.table_name
WHERE observation_date > '2017-12-31'
GROUP BY observation_date
However it is producing this error:
SYNTAX_ERROR: line 3:24: '>' cannot be applied to date, varchar(10)
This seems odd to me. Is there an error in my query or is Athena not able to handle greater than operators on date columns?
Thanks!
You need to use a cast to format the date correctly before making this comparison. Try the following:
SELECT observation_date, COUNT(*) AS count
FROM db.table_name
WHERE observation_date > CAST('2017-12-31' AS DATE)
GROUP BY observation_date
Check it out in Fiddler: SQL Fidle
UPDATE 17/07/2019
In order to reflect comments
SELECT observation_date, COUNT(*) AS count
FROM db.table_name
WHERE observation_date > DATE('2017-12-31')
GROUP BY observation_date
You can also use the date function which is a convenient alias for CAST(x AS date):
SELECT *
FROM date_data
WHERE trading_date >= DATE('2018-07-06');
select * from my_schema.my_table_name where date_column = cast('2017-03-29' as DATE) limit 5
I just want to add my little words here, if you have date column with ISO-8601 format, for example: 2022-08-02T01:46:46.963120Z then you can use parse_datetime function.
In my case, the query looks like this:
SELECT * FROM internal_alb_logs
WHERE elb_status_code >= 500 AND parse_datetime(time,'yyyy-MM-dd''T''HH:mm:ss.SSSSSS''Z') > parse_datetime('2022-08-01-23:00:00','yyyy-MM-dd-HH:mm:ss')
ORDER BY time DESC
See more other examples here: https://docs.aws.amazon.com/athena/latest/ug/application-load-balancer-logs.html#query-alb-logs-examples
I have a table that sends out messages, I would like to get a total count of the messages that have been going out month by month over the last year . I am new to SQL so I am having trouble with it . I am using MSSQL 2012 this is my sql
SELECT sentDateTime, MessageID, status AS total, CONVERT(NVARCHAR(10), sentDateTime, 120) AS Month
FROM MessageTable
WHERE CAST(sentDateTime AS DATE) > '2017-04-01'
GROUP BY CONVERT(NVARCHAR(10), sentDateTime, 120), sentDateTime, MessageID, status
ORDER BY Month;
I think the month() and year() functions are more convenient than datepart() for this purpose.
I would go for:
select year(sentDateTime) as yr, month(sentDateTime) as mon, count(*)
from MessageTable
where sentDateTime > '2017-04-01'
group by year(sentDateTime), month(sentDateTime)
order by min(sentDateTime);
Additional notes:
Only include the columns in the select that you care about. This would be the ones that define the month and the count.
Only include the columns in the group by that you care about. Every combination of the expressions in the group by found in the data define a column.
There is no need to convert sentDateTime to a date explicitly for the comparison.
The order by orders the results by time. Using the min() is a nice convenience.
Including the year() makes sure you don't make a mistake -- say by including data from 2018-04 with 2017-04.
-- this selects the part of the date you are looking for, replace this with the date format you are using, this should give you what you are looking for
SELECT DATEPART(mm, GETDATE())
SELECT COUNT(DATEPART(mm, sentDateTime)), MessageID, status
From MessageTable where Cast(sentDateTime as date) > '2017-04-01'
group by DATEPART(mm, sentDateTime), MessageID, status
order by DATEPART(mm, sentDateTime)
You can group by the month number of the sentDateTime with the function DATEPART(MONTH, sentDateTime). The next select will also yield results if no message was sent for a particular month (total = 0).
;WITH PossibleMonths AS
(
SELECT
M.PossibleMonth
FROM
(VALUES
(1),(2),(3),(4),(5),(6),(7),(8),(9),(10),(11),(12)) M(PossibleMonth)
),
MonthTotals AS
(
select
COUNT(1) AS Total,
DATEPART(MONTH, sentDateTime) [Month]
From
MessageTable
where
Cast(sentDateTime as date) > '2017-04-01'
group by
DATEPART(MONTH, sentDateTime)
)
SELECT
P.PossibleMonth,
Total = ISNULL(T.Total, 0)
FROM
PossibleMonths AS P
LEFT JOIN MonthTotals AS T ON P.PossibleMonth = T.Month
Using the below example, I want to get a count of records grouped by Person and Product, for each day.
The example on the left is the data in the SQL Server 2008 database. The data on the right is my desired query result.
I could just substring off the time portion of the date values, then just do a Group By... but ideally the Max(date) would contain the full timestamp...
Is this what you want?
select t.person, t.product, count(*) as cnt, max(t.date) as date
from table t
group by t.person, t.product, cast(t.date as date);
I have a bunch of product orders and I'm trying to group by the date and sum the quantity for that date. How can I group by the month/day/year without taking the time part into consideration?
3/8/2010 7:42:00 should be grouped with 3/8/2010 4:15:00
Cast/Convert the values to a Date type for your group by.
GROUP BY CAST(myDateTime AS DATE)
GROUP BY DATEADD(day, DATEDIFF(day, 0, MyDateTimeColumn), 0)
Or in SQL Server 2008 onwards you could simply cast to Date as #Oded suggested:
GROUP BY CAST(orderDate AS DATE)
In pre Sql 2008 By taking out the date part:
GROUP BY CONVERT(CHAR(8),DateTimeColumn,10)
CAST datetime field to date
select CAST(datetime_field as DATE), count(*) as count from table group by CAST(datetime_field as DATE);
GROUP BY DATE(date_time_column)
Here's an example that I used when I needed to count the number of records for a particular date without the time portion:
select count(convert(CHAR(10), dtcreatedate, 103) ),convert(char(10), dtcreatedate, 103)
FROM dbo.tbltobecounted
GROUP BY CONVERT(CHAR(10),dtcreatedate,103)
ORDER BY CONVERT(CHAR(10),dtcreatedate,103)
Here is the example works fine in oracle
select to_char(columnname, 'DD/MON/yyyy'), count(*) from table_name group by to_char(createddate, 'DD/MON/yyyy');
Well, for me it was pretty much straight, I used cast with groupby:
Example:
Select cast(created_at as date), count(1) from dbname.tablename GROUP BY cast(created_at as date)
Note: I am using this on MSSQL 2016.
I believe you need to group by , in that day of the month of the year .
so why not using TRUNK_DATE functions .
The way it works is described below :
Group By DATE_TRUNC('day' , 'occurred_at_time')
How do I get a maximium daily value of a numerical field over a year in MS-SQL
This would query the daily maximum of value over 2008:
select
datepart(dayofyear,datecolumn)
, max(value)
from yourtable
where '2008-01-01' <= datecolumn and datecolumn < '2009-01-01'
group by datepart(dayofyear,datecolumn)
Or the daily maximum over each year:
select
datepart(year,datecolumn),
, datepart(dayofyear,datecolumn)
, max(value)
from yourtable
group by datepart(year,datecolumn), datepart(dayofyear,datecolumn)
Or the day(s) with the highest value in a year:
select
Year = datepart(year,datecolumn),
, DayOfYear = datepart(dayofyear,datecolumn)
, MaxValue = max(MaxValue)
from yourtable
inner join (
select
Year = datepart(year,datecolumn),
, MaxValue = max(value)
from yourtable
group by datepart(year,datecolumn)
) sub on
sub.Year = yourtable.datepart(year,datecolumn)
and sub.MaxValue = yourtable.value
group by
datepart(year,datecolumn),
datepart(dayofyear,datecolumn)
You didn't mention which RDBMS or SQL dialect you're using. The following will work with T-SQL (MS SQL Server). It may require some modifications for other dialects since date functions tend to change a lot between them.
SELECT
DATEPART(dy, my_date),
MAX(my_number)
FROM
My_Table
WHERE
my_date >= '2008-01-01' AND
my_date < '2009-01-01'
GROUP BY
DATEPART(dy, my_date)
The DAY function could be any function or combination of functions which gives you the days in the format that you're looking to get.
Also, if there are days with no rows at all then they will not be returned. If you need those days as well with a NULL or the highest value from the previous day then the query would need to be altered a bit.
Something like
SELECT dateadd(dd,0, datediff(dd,0,datetime)) as day, MAX(value)
FROM table GROUP BY dateadd(dd,0, datediff(dd,0,datetime)) WHERE
datetime < '2009-01-01' AND datetime > '2007-12-31'
Assuming datetime is your date column, dateadd(dd,0, datediff(dd,0,datetime)) will extract only the date part, and then you can group by that value to get a maximum daily value. There might be a prettier way to get only the date part though.
You can also use the between construct to avoid the less than and greater than.
Group on the date, use the max delegate to get the highest value for each date, sort on the value, and get the first record.
Example:
select top 1 theDate, max(theValue)
from TheTable
group by theDate
order by max(theValue) desc
(The date field needs to only contain a date for this grouping to work, i.e. the time component has to be zero.)
If you need to limit the query for a specific year, use a starting and ending date in a where claues:
select top 1 theDate, max(theValue)
from TheTable
where theDate between '2008-01-01' and '2008-12-13'
group by theDate
order by max(theValue) desc