I want to do the same query using a variable at the where condition from 0 to 24 and join the results at the same column.
DECLARE #x AS INT
SET #x = 0
WHILE #x < 24
BEGIN
SELECT #x, COUNT(trans_num)
FROM [RealTimeVending].[dbo].[rtv_transactions]
WHERE CONVERT(DATE, trans_date) >= '2018-03-28'
AND DATEPART(HH, trans_date) = #x
AND cliente_id = 13
GROUP BY cliente_id
SET #x = #x + 1
END
This is what I get :
The problem with my solution is that I have different querys and I want the results at the same column.
You don't need a while loop for the required output, following simple query should give you desired output.
SELECT COUNT(trans_num), DATEPART(HH,trans_date)
FROM [RealTimeVending].[dbo].[rtv_transactions]
where convert(date,trans_date) >= '2018-03-28'
and cliente_id=13
GROUP BY DATEPART(HH,trans_date)
ORDER BY DATEPART(HH,trans_date)
If you are fetching the data for a single client cliente_id=13, in that case you don't need to put group by client_id. It will only be required if you fetching the data for multiple clients.
PSK's answer is dead on. A minor variation to that to avoid duplicating the DATEPART function is to use a sub-query. Note that I also removed the conversion of trans_date to date portion as it is redundant. You can directly compare the time to the date which will yield a faster query also.
SELECT t.Hour, COUNT(*) AS Count
FROM (
SELECT
DATEPART(HH,trans_date) AS Hour
FROM [RealTimeVending].[dbo].[rtv_transactions]
WHERE
trans_date >= '2018-03-28'
AND cliente_id = 13
) AS t
GROUP BY Hour
ORDER BY Hour
Related
i'm trying to build a query in which I need to apply 2 different where clauses, depending on the value of Current Month. In this case, I need to show data from the last 2 years, only of the months before the current month:
Example 1:
Current Date is: 01-01-2017
Need to show data from:
01/2015; 02/2015; 03/2015; 04/2015; 05/2015; 06/2015;
07/2015; 08/2015; 09/2015; 10/2015; 11/2015; 12/2015;
01/2016; 02/2016; 03/2016; 04/2016; 05/2016; 06/2016;
07/2016; 08/2016; 09/2016; 10/2016; 11/2016; 12/2016.
Example 2:
Current Date is: 01-03-2017
Need to show data from: 01/2016; 02/2016; 01/2017; 02/2017.
So I built the following query:
SELECT *
FROM TABLE1
WHERE
CASE MONTH(GETDATE())
WHEN 1
THEN YEAR(Data)>=YEAR(GETDATE())-2 and YEAR(data)<YEAR(GETDATE())
ELSE YEAR(Data)>=YEAR(GETDATE())-1 and YEAR(data)<=YEAR(data) and MONTH(data)<MONTH(GETDATE())
END
I'm getting an error.
Can you please help me?
Thank you.
Your syntax is incorrect for sure. THEN is not a logical expression - it is supposed to return value. So you can't write logical expression in THEN/ELSE blocks as you have attempted to. Instead you might try something like:
WHERE
#date >= CASE WHEN a=b THEN '20150101' ELSE '20160202' END
Another thing is: conversions and functions in predicate are very bad for performance. When working with dates you might want to prepare filter predicate before the query when possible, e.g.:
declare
#date_begin date,
#date_end date
set #date_end = DATEADD(..., #arg_date)
set #date_begin = DATEADD(YEAR, -2, #date_end)
select ...
where date between #date_begin and #date_end
in your case it could be something like:
declare
#arg_date DATE = GETDATE(),
#date_begin DATE,
#date_end DATE,
#max_month INT
set #max_month = MONTH(#date)
if #max_month = 1
begin
set #date_end = DATEADD(dd, 1-DATEPART(dy, #arg_date), #arg_date) /* first day of year */
set #date_begin = dateadd(YY, -2, #date_end)
end
else
begin
set #date_end = #arg_date
set #date_begin = dateadd(YY, -1, DATEADD(dd, 1-DATEPART(dy, #date_end), #date_end)) /* first day of year_begin */
end
SELECT *
FROM TABLE1 t
WHERE t.date >= #date_begin and t.date < #date_end
AND (#max_month = 1 OR MONTH(t.date) < #max_month)
another (a better) way is to prepare #periods table variable, put each (date_begin, date_end) pair you need into it and join with TABLE1 - you'll get rid of all function calls from within WHERE clause.
You should realize: you know exactly which periods of each year you need in the result set. There is nothing to compute from stored TABLE1->date column. Just filter it with precomputed date intervals. Don't convert or modify date column - it is already ready to use. Merely apply appropriate filters. MONTH(date) <= 3 is date <= 20170331. Don't torture left part - prepare appropriate right part of such predicates.
The easiest way would be something like:
SELECT *
FROM TABLE1
WHERE
(YEAR(Data)>=YEAR(GETDATE())-2 and YEAR(data)<YEAR(GETDATE()) AND MONTH(GETDATE()) = 1)
OR (YEAR(Data)>=YEAR(GETDATE())-1 and MONTH(data)<MONTH(GETDATE()) and MONTH(GETDATE()) <> 1)
(Note I removed the superfluous and YEAR(data)<=YEAR(data).).
Personally I prefer (and I think it's generally advised) AND/OR logic to a CASE in a WHERE clause.
The error with your CASE statement is caused by the fact that CASE returns an atomic value. It cannot be used in the same way as if in procedural languages.
You can't swap in additional statements to your where clause using case statements. Instead, you need to resolve the case to an equality:
select *
from Table1
where case month(getdate()) -- You want to avoid using functions on fields in your WHERE claises, as this can reduce performance.
when 1 then case when Data >= dateadd(year,datediff(year,0,getdate())-2,0)
and Data < dateadd(year,datediff(year,0,getdate()),0)
then 1 -- Data rows the meet the criteria will return 1.
else 0 -- Data rows that do not will return 0.
end
else case when (Data >= dateadd(year,datediff(year,0,getdate())-1,0)
and Data < dateadd(m,datediff(m,0,getdate())-12,0)
)
or (Data >= dateadd(year,datediff(year,0,getdate()),0)
and Data < dateadd(m,datediff(m,0,getdate()),0)
)
then 1
else 0
end
end = 1 -- Then limit the results to only those rows that returned a 1.
In your specific instance however, this can be simplified to a standard or:
select *
from Table1
where (month(getdate()) = 1
and Data >= dateadd(year,datediff(year,0,getdate())-2,0)
and Data < dateadd(year,datediff(year,0,getdate()),0)
)
or (month(getdate()) <> 1
and (Data >= dateadd(year,datediff(year,0,getdate())-1,0)
and Data < dateadd(m,datediff(m,0,getdate())-12,0)
)
or (Data >= dateadd(year,datediff(year,0,getdate()),0)
and Data < dateadd(m,datediff(m,0,getdate()),0)
)
)
Note the use of brackets above to separate out the logical tests. Where a Data row meets either one of those criteria it will be returned in your query.
I am using MS SQL Server Management Studio. What I am trying to do is get a sum as one of my columns for each record but that sum would only sum up values based on the values from the first two columns.
The query looks like this so far:
SELECT DISTINCT
BeginPeriod,
EndPeriod,
(
SUM((select FO_NumPages from tbl_Folder where FO_StatisticDateTime > BeginPeriod AND FO_StatisticDateTime < EndPeriod))
) AS PageCount
FROM
(
SELECT
CONVERT(varchar(12),DATEADD(mm,DATEDIFF(mm,0,tbl_Folder.FO_StatisticDateTime),0),101) AS BeginPeriod,
tbl_Folder.FO_PK_ID AS COL1ID
FROM
tbl_Folder
)AS ProcMonth1
INNER JOIN
(
SELECT
CONVERT(varchar(12),DATEADD(mm,DATEDIFF(mm,0,tbl_Folder.FO_StatisticDateTime)+1,0),101) AS EndPeriod,
tbl_Folder.FO_PK_ID AS COL2ID
FROM
tbl_Folder
)AS ProcNextMonth1
ON ProcMonth1.COL1ID = ProcNextMonth1.COL2ID
ORDER BY BeginPeriod DESC;
The table I am getting the data from would look something like this:
FO_StatisticsDateTime | FO_PK_ID | FO_NumPages
-------------------------------------------------
03/21/2013 | 24 | 5
04/02/2013 | 22 | 6
I want the sum to count the number of pages for each record that is between the beginning period and the end period for each record.
I understand the sum with the select statement has an aggregate error in that function for the column values. But is there a way I can get that sum for each record?
I'm trusting that everything in the FROM clause works as you expect, and would suggest that this change to the top part of your query should get what you want:
SELECT DISTINCT
BeginPeriod,
EndPeriod,
(Select SUM(FO_NumPages)
from tbl_Folder f1
where f1.FO_StatisticDateTime >= ProcMonth1.BeginPeriod
AND f1.FO_StatisticDateTime <= ProcNextMonth1.EndPeriod
) AS PageCount
FROM
(
SELECT
CONVERT(varchar(12),DATEADD(mm,DATEDIFF(mm,0,tbl_Folder.FO_StatisticDateTime),0),101) AS BeginPeriod,
tbl_Folder.FO_PK_ID AS COL1ID
FROM
tbl_Folder
)AS ProcMonth1
INNER JOIN
(
SELECT
CONVERT(varchar(12),DATEADD(mm,DATEDIFF(mm,0,tbl_Folder.FO_StatisticDateTime)+1,0),101) AS EndPeriod,
tbl_Folder.FO_PK_ID AS COL2ID
FROM
tbl_Folder
)AS ProcNextMonth1
ON ProcMonth1.COL1ID = ProcNextMonth1.COL2ID
ORDER BY BeginPeriod DESC;
This should work:
select BeginDate,
EndDate,
SUM(tbl_Folder.FO_NumPages) AS PageCount
from (select distinct dateadd(month,datediff(month,0,FO_StatisticDateTime),0) BeginDate from tbl_Folder) begindates
join (select distinct dateadd(month,datediff(month,0,FO_StatisticDateTime)+1,0) EndDate from tbl_Folder) enddates
on BeginDate < EndDate
join tbl_Folder
on tbl_Folder.FO_StatisticDateTime >= BeginDate
and tbl_Folder.FO_StatisticDateTime < EndDate
group by BeginDate, EndDate
order by 1, 2
I changed your expressions that converted the dates, because the string comparisons won't work as expected.
It joins two sub-queries of distinct beginning and ending dates to get all the possible date combinations. Then it joins that with your data that falls between the dates so that you can come up with your sum.
What I'm looking for is a way in MSSQL to create a complex IN or LIKE clause that contains a SET of values, some of which will be ranges.
Sort of like this, there are some single numbers, but also some ranges of numbers.
EX: SELECT * FROM table WHERE field LIKE/IN '1-10, 13, 24, 51-60'
I need to find a way to do this WITHOUT having to specify every number in the ranges separately AND without having to say "field LIKE blah OR field BETWEEN blah AND blah OR field LIKE blah.
This is just a simple example but the real query will have many groups and large ranges in it so all the OR's will not work.
One fairly easy way to do this would be to load a temp table with your values/ranges:
CREATE TABLE #Ranges (ValA int, ValB int)
INSERT INTO #Ranges
VALUES
(1, 10)
,(13, NULL)
,(24, NULL)
,(51,60)
SELECT *
FROM Table t
JOIN #Ranges R
ON (t.Field = R.ValA AND R.ValB IS NULL)
OR (t.Field BETWEEN R.ValA and R.ValB AND R.ValB IS NOT NULL)
The BETWEEN won't scale that well, though, so you may want to consider expanding this to include all values and eliminating ranges.
You can do this with CTEs.
First, create a numbers/tally table if you don't already have one (it might be better to make it permanent instead of temporary if you are going to use it a lot):
;WITH Numbers AS
(
SELECT
1 as Value
UNION ALL
SELECT
Numbers.Value + 1
FROM
Numbers
)
SELECT TOP 1000
Value
INTO ##Numbers
FROM
Numbers
OPTION (MAXRECURSION 1000)
Then you can use a CTE to parse the comma delimited string and join the ranges with the numbers table to get the "NewValue" column which contains the whole list of numbers you are looking for:
DECLARE #TestData varchar(50) = '1-10,13,24,51-60'
;WITH CTE AS
(
SELECT
1 AS RowCounter,
1 AS StartPosition,
CHARINDEX(',',#TestData) AS EndPosition
UNION ALL
SELECT
CTE.RowCounter + 1,
EndPosition + 1,
CHARINDEX(',',#TestData, CTE.EndPosition+1)
FROM CTE
WHERE
CTE.EndPosition > 0
)
SELECT
u.Value,
u.StartValue,
u.EndValue,
n.Value as NewValue
FROM
(
SELECT
Value,
SUBSTRING(Value,1,CASE WHEN CHARINDEX('-',Value) > 0 THEN CHARINDEX('-',Value)-1 ELSE LEN(Value) END) AS StartValue,
SUBSTRING(Value,CASE WHEN CHARINDEX('-',Value) > 0 THEN CHARINDEX('-',Value)+1 ELSE 1 END,LEN(Value)- CHARINDEX('-',Value)) AS EndValue
FROM
(
SELECT
SUBSTRING(#TestData, StartPosition, CASE WHEN EndPosition > 0 THEN EndPosition-StartPosition ELSE LEN(#TestData)-StartPosition+1 END) AS Value
FROM
CTE
)t
)u INNER JOIN ##Numbers n ON n.Value BETWEEN u.StartValue AND u.EndValue
All you would need to do once you have that is query the results using an IN statement, so something like
SELECT * FROM MyTable WHERE Value IN (SELECT NewValue FROM (/*subquery from above*/)t)
This question already has answers here:
Closed 10 years ago.
Possible Duplicate:
SQL Server: How to select all days in a date range even if no data exists for some days
I wasn't really sure how to word this question, but I'll try to explain. I'm trying to build some basic reporting using queries like the following:
SELECT COUNT(*) AS count, h_date FROM (SELECT CONVERT(VARCHAR(10), h_time, 102) AS h_date FROM hits h GROUP BY h_date ORDER BY h_date
This returns results like this, which I use to build a graph:
8 2012.05.06
2 2012.05.07
9 2012.05.09
As you can see, it's missing the 8th as there were no hits on that day. Is there a way to get a value of 0 for dates that have no results, or will I have to parse the results after the fact and add them manually?
You can use existing catalog views to derive a sequential range of dates between your start date and your end date. Then you can just left join to your data, and any missing dates will be there with 0s.
DECLARE #min SMALLDATETIME, #max SMALLDATETIME;
SELECT #min = MIN(h_time), #max = MAX(h_time)
FROM dbo.hits
-- WHERE ?
-- or if you just want a fixed range:
-- SELECT #min = '20120101', #max = '20120131';
;WITH n(d) AS
(
SELECT TOP (DATEDIFF(DAY, #min, #max)+1)
DATEADD(DAY, ROW_NUMBER() OVER (ORDER BY [object_id]) - 1, DATEDIFF(DAY, 0, #min))
FROM sys.all_objects ORDER BY [object_id]
)
SELECT n.d, [count] = COUNT(h.h_time)
FROM n
LEFT OUTER JOIN dbo.hits AS h
ON h.h_time >= n.d
AND h.h_time < DATEADD(DAY, 1, n.d)
-- AND --WHERE clause against hits?
GROUP BY n.d;
I've never been a big fan of using system tables to create dummy records to join against, but it's a very common approach.
I took Aaron Bertrand's answer and changed the Common Table Expression (CTE) to use a recursive one instead. It's quicker as it doesn't have to hit a table to do the query. Not that the previous version is slow anyway.
You need to specify "OPTION (MAXRECURSION 0);" otherwise it will limit the number of rows returned to the default (100). The value of 0 will return unlimited rows.
DECLARE #min SMALLDATETIME, #max SMALLDATETIME;
--SELECT #min = MIN(h_time), #max = MAX(h_time)
-- FROM dbo.hits
SELECT #min = '20120101', #max = '20121231';
WITH recursedate(each_date, date_index) AS
(
SELECT #min, 0
UNION ALL
SELECT DATEADD(DAY,date_index+1,#min), date_index+1
FROM recursedate
WHERE DATEADD(DAY,date_index+1,#min) <= #max
)
SELECT recursedate.each_date, [count] = COUNT(h.h_time)
FROM recursedate
LEFT OUTER JOIN dbo.hits AS h
ON --CONVERT(SMALLDATETIME,h.h_time) = recursedate.dates
h.h_time >= recursedate.each_date
AND h.h_time < DATEADD(DAY, 1, recursedate.each_date)
-- AND --WHERE clause against hits?
GROUP BY recursedate.each_date
OPTION (MAXRECURSION 0); -- The default is 100 so you'll only get 100 dates, 0 is unlimited.
I want to select values from table in range.
Something like this:
SELECT
date_values.date_from,
date_values.date_to,
sum(values.value)
FROM values
inner join date_values on values.id_date = date_values.id
inner join date_units on date_values.id_unit = date_units.id
WHERE
date_values.date_from >= '14.1.2012' AND
date_values.date_to <= '30.1.2012' AND
date_units.id = 4
GROUP BY
date_values.date_from,
date_values.date_to
ORDER BY
date_values.date_from,
date_values.date_to;
But this query give me back only range of days, where is any value. Like this:
14.01.12 15.01.12 66
15.01.12 16.01.12 4
17.01.12 18.01.12 8
...etc
(Here missing 16.01.12 to 17.01.12)
But I want to select missing value too, like this:
14.01.12 15.01.12 66
15.01.12 16.01.12 4
16.01.12 17.01.12 0
17.01.12 18.01.12 8
...etc
I can't use PL/SQL and if can you advise more general solution which can I expand for use on Hours, Months, Years; will be great.
I'm going to assume you're providing date_from and date_to. If so, you can generate your list of dates first and then join to it to get the remainder of your result. Alternatively, you can union this query to your date_values table as union does a distinct this will remove any extra data.
If this is how the list of dates is generated:
select to_date('14.1.2012','dd.mm.yyyy') + level - 1 as date_from
, to_date('14.1.2012','dd.mm.yyyy') + level as date_to
from dual
connect by level <= to_date('30.1.2012','dd.mm.yyyy')
- to_date('14.1.2012','dd.mm.yyyy')
Your query might become
with the_dates as (
select to_date('14.1.2012','dd.mm.yyyy') + level - 1 as date_from
, to_date('14.1.2012','dd.mm.yyyy') + level as date_to
from dual
connect by level <= to_date('30.1.2012','dd.mm.yyyy')
- to_date('14.1.2012','dd.mm.yyyy')
)
SELECT
dv.date_from,
dv.date_to,
sum(values.value)
FROM values
inner join ( select the_dates.date_from, the_dates.date_to, date_values.id
from the_dates
left outer join date_values
on the_dates.date_from = date_values.date_from ) dv
on values.id_date = dv.id
inner join date_units on date_values.id_unit = date_units.id
WHERE
date_units.id = 4
GROUP BY
dv.date_from,
dv.date_to
ORDER BY
dv.date_from,
dv.date_to;
The with syntax is known as sub-query factoring and isn't really needed in this case but it makes the code cleaner.
I've also assumed that the date columns in date_values are, well, dates. It isn't obvious as you're doing a string comparison. You should always explicitly convert to a date where applicable and you should always store a date as a date. It saves a lot of hassle in the long run as it's impossible for things to be input incorrectly or to be incorrectly compared.