I need help with an SQL query that will get me a count of hourly deposits to an account for a specific date. The database consists of deposits and time of deposit to various accounts. I need a query that will return the number deposits made to a certain account on an hourly basis. Ideally the result would look something like this:
MM/DD/YYYY Account XYZ :
12:00PM : 3
1:00PM : 5
2:00PM: 7
3:00PM; 11
*Formatting doesnt really matter, just as long as I can get this info.
Try:
DECLARE #CheckDate DATE
SET #CheckDate='2014/5/13'
SELECT DATEPART(hh, DespositDate), COUNT(1)
FROM table t
WHERE account = 'XYZ' AND CAST(DepositDate AS DATE)=#CheckDate
GROUP BY DATEPART(hh, DespositDate)
You can use the date/time functions for aggregation. In your case, this would look like:
select cast(DepositDate as date), datepart(hour, DespositDate), count(*)
from table t
where account = 'XYZ'
group by cast(DepositDate as date), datepart(hour, DespositDate);
Related
I have a sqlite3 database maintained on an AWS exchange that is regularly updated by a Python script. One of the things it tracks is when any team generates a new post for a given topic. The entries look something like this:
id
client
team
date
industry
city
895
acme industries
blueteam
2022-06-30
construction
springfield
I'm trying to create a table that shows me how many entries for construction occur each day. Right now, the entries with data populate, but they exclude dates with no entries. For example, if I search for just
SELECT date, count(id) as num_records
from mytable
WHERE industry = "construction"
group by date
order by date asc
I'll get results that looks like this:
date
num_records
2022-04-01
3
2022-04-04
1
How can I make sqlite output like this:
date
num_records
2022-04-02
3
2022-04-02
0
2022-04-03
0
2022-04-04
1
I'm trying to generate some graphs from this data and need to be able to include all dates for the target timeframe.
EDIT/UPDATE:
The table does not already include every date; it only includes dates relevant to an entry. If no team posts work on a day, the date column will jump from day 1 (e.g. 2022-04-01) to day 3 (2022-04-03).
Given that your "mytable" table contains all dates you need as an assumption, you can first select all of your dates, then apply a LEFT JOIN to your own query, and map all resulting NULL values for the "num_records" field to "0" using the COALESCE function.
WITH cte AS (
SELECT date,
COUNT(id) AS num_records
FROM mytable
WHERE industry = "construction"
GROUP BY date
ORDER BY date
)
SELECT dates.date,
COALESCE(cte.num_records, 0) AS num_records
FROM (SELECT date FROM mytable) dates
LEFT JOIN cte
ON dates.date = cte.date
I want to find out how many times a SQL Server database was hit on a given date range. Is there any query which I can use to get hourly transactions (db hits - Select/Insert/update/Delete) for a given date range?
E.g I want to find hourly transaction count on my db on the first of the month from 8 am to 6 pm
The output is expected to be something like
Range
TXN Count
8-9
xxxxxx
9-10
yyyyyy
.
.
17-18
ZZZZZ
You can use the master tables to have the number of connections and sessions
Then, you just need to do a group by the column connect_time or login_time / user
Here you have all master dm exec types
https://learn.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-exec-query-stats-transact-sql?view=sql-server-ver15
SELECT * from master.sys.dm_exec_sessions
SELECT * from master.sys.dm_exec_connections
---Sample
SELECT
count(*) as numberConnections,
CAST(login_Time as date) as mydate,
login_name
from
master.sys.dm_exec_sessions
Group by
CAST(login_Time as date),
login_name
I have a table with SentDate and RefundAmounts. I would like to sum up the amounts on each row from the date until a year into the future for every line.
In the example below I would like to add a column that says sum for the year.
This sum should be for the first line the sum of refunds from '2006-12-14' until '2007-12-14' which would be 3696,22 as there were no refunds during that period.
The second row would be from '2007-12-24' until '2008-12-24' which would be 463,05
SentDate YearAhead RefundAmount
2006-12-14 2007-12-14 3696,22
2007-12-24 2008-12-24 394,35
2008-12-18 2009-12-18 44,33
2008-12-19 2009-12-19 24,37
2009-12-16 2010-12-16 21,88
I have tried something along the lines of
select SentDate, dateadd(year,1,sentdate) YearAhead, SumRefund
from table
but I have no idea how to get the annual future sum for each row
Thanks for the suggestion. The final result should look as follows:
SentDate YearAhead RefundAmount SumForYear
2006/12/14 2007/12/14 3696,22 3696,22
2007/12/24 2008/12/24 394,35 463,05
2008/12/18 2009/12/18 44,33 90,58
2008/12/19 2009/12/19 24,37 46,25
2009/12/16 2010/12/16 21,88 21,88
You need to join with a BETWEEN to gather all rows that compose that period, then use GROUP BY with SUM to the result.
select
T.SentDate,
dateadd(year, 1, T.SentDate) YearAhead,
SUM(P.SumRefund) AS TotalOverYear
from
YourTable AS T
INNER JOIN YourTable AS P ON P.SentDate BETWEEN T.SendDate AND DATEADD(YEAR, 1, T.SendDate)
GROUP BY
T.SentDate
Something like this should suite your needs if you always need a complete year:
select sum(refund) as refundAmounts,year(min(SentDate)) as year from yourTable group by year(SentDate)
the year function gets only the year part from a datetime row and with group by you can split the aggregation of sum and min function to different groups.
This question might have been solved many times or even asked many times. But as I am not a savvy in SQL, I am not able to figure out things found on the internet. Like I am not able to tweak Queries from the Internet to my needs.
And here comes my need
I have a Table named Orders Containing Fields like OrderId, OrderDate etc.
I need to generate an Excel Sheet. The sheet will have the count of orders grouped by week.
(Like how many orders placed within that week)
The user can choose the year in which he/she needs the report for.
So if the user chooses the current year then I need to generate an excel report containing data from Jan 1 to today grouped by week.
If the user chooses any other year(maybe previous years) then I need to generate a report containing all the data for that year grouped by week.
Currently, I am looking for an SQL query that returns data like this(expected output)
Week Date Range Total No of Orders
-----+--------------------------+-------------------
week#1 2018-01-01 - 2018-01-07 10
week#2 2018-01-08 - 2018-01-14 0
week#3 2018-01-15 - 2018-01-21 1
How can I write a query to achieve the same?
Looking for expert advice...
You need to use CTE recursive write calendar by week number,then Orders LEFT JOIN on CTE calendar table get COUNT.
Note:
variable #Dt mock which year you want to start.
Query look like this.
DECLARE #Dt date = '2018-01-01'
;WITH CTE(Dt,maxD) AS (
SELECT DATEPART(ww,#Dt) Dt, DATEPART(ww,MAX(OrderDate)) maxD
FROM Orders
UNION ALL
SELECT (Dt +1) Dt,maxD
FROM CTE
WHERE (Dt +1) <= maxD
)
SELECT CONCAT('week#',c.Dt) 'week',
CONCAT(
CONVERT(char(10),dateadd(week,c.Dt-1, DATEADD(wk, DATEDIFF(wk,-1,DATEADD(yy, DATEDIFF(yy,0,getdate()), 0)), 0)),126)
,'-'
, CONVERT(char(10),dateadd(week,c.Dt, DATEADD(wk, DATEDIFF(wk,-1,DATEADD(yy, DATEDIFF(yy,0,getdate()), 0)), 0)),126)) 'Date Range',
COUNT(o.OrderDate) 'Total No of Orders'
FROM CTE c
LEFT JOIN Orders o on c.Dt = DATEPART(ww,o.OrderDate)
GROUP BY c.Dt
sqlfiddle:http://sqlfiddle.com/#!18/8f089/40
I'm querying imported data that has a date/time field that I can't format as date in the table.
Sample:
Ticket Name Date
INC000101 User1 9/5/2016 10:00:34AM
INC000102 User2 9/5/2016 12:02:00PM
INC000103 User1 9/7/2016 3:34:00PM
INC000104 User2 10/1/2016 9:30:23AM
INC000105 User1 10/5/2016 10:20:00AM
INC000106 USer2 10/6/2016 4:56:00PM
I'm trying to get a count of how many tickets each user has per month. Because the Date field comes from the database as a text field, I can't seem to make that format as date/time so I use "left" to filter by month. This is what I've used to get a return on a single User item for the month of October.
SELECT COUNT(*)
FROM 2016YTD
WHERE [Name]='User1' AND left(Date,3) = '10/';
I would like to add counts for User2 through UserX per month so that I can get a count row or column for each the quantity of tickets for each user each month in one report. Everything I've tried won't save the query due to syntax errors in one form or another. I've tried variations of the following query help post as well without success.
SELECT a.distributor_id,
(SELECT COUNT(*) FROM myTable WHERE level='personal' and distributor_id = a.distributor_id) as PersonalCount,
(SELECT COUNT(*) FROM myTable WHERE level='exec' and distributor_id = a.distributor_id) as ExecCount,
(SELECT COUNT(*) FROM myTable WHERE distributor_id = a.distributor_id) as TotalCount
FROM myTable a ;
I'm sure the answer is staring at me, just not sure what at the moment.
Thanks for reading
John
This is only an answer to your first question about how to deal with dates that are stored in text fields.
To get the count for all users for every month you can do:
SELECT [Name], Format([Date],'mmmm') AS Month, COUNT(*) as Count
FROM 2016YTD
GROUP BY [Name], Format([Date],'mmmm')
A text field containing a date that is always in the same format can be treated as a date with Format() so Format([Date],'mmmm') returns the full month name for each date.
you should just need conditional aggregation. I haven't looked at access in a while but probably just something like this:
SELECT
a.distributor_id
,Format([Date],'mmmm') as Month
,SUM(IIF(level='personal',1,0)) as PersonalCount
,SUM(IIF(level='exec',1,0)) as ExecCount
,COUNT(*) as TotalCount
FROM
myTable a
GROUP BY
a.distributor_id
,Format([Date],'mmmm')