SQL Server: multiple select statements from the same table in one query - sql-server

I'm working on two queries that pull data from one table. I can get them to run how I want individually, but I'd like to combine them into one if possible. I've tried the solution in [Multiple COUNT SELECTS from the same table in one query but wasn't able to get it figured out. Below is what I'm working on:
--goback 30 days start at midnight
declare #daysgoingback as int
set #daysgoingback = 90
declare #olderdate as datetime
set #olderdate = DATEADD(Day, -#daysgoingback, DATEDIFF(Day, 0, GetDate()))
--today at 11:59pm
declare #today as datetime
set #today = dateadd(ms, -3, (dateadd(day, +1, convert(varchar, GETDATE(), 101))))
print #today
--these are the two queries I'd like to combine:
select
avg(x.LogAlerts*1.0 / #daysgoingback) as 'Avg number of log alerts'
from
(select count(*) as LogAlerts
from message_log_table
where msg_timestamp between #olderdate and #today) X
select
avg(x.MessagesDeleted*1.0 / #daysgoingback) as 'Avg number of messages deleted'
from
(select count(*) as MessagesDeleted
from message_log_table
where msg_details like '%message deleted%'
and msg_timestamp between #olderdate and #today) X

"AVG" is an aggregate function, which averages multiple rows. Your "select count(*)" subquery always returns exactly one row, so you are not really using the AVG function as it's intended.
You can combine the two like this:
select count(*) * 1.0 / #daysgoingback as 'Avg number of log alerts'
, count(case when msg_details like '%message deleted%' then 1 end) * 1.0 / #daysgoingback as 'Avg number of messages deleted'
from message_log_table
where msg_timestamp between #olderdate and #today;

Make each query into a CTE, and then CROSS JOIN them.
Both queries only return a single-cell result, so there's no need to get fancy here.

Related

CTE slow performance on Left join

I need to provide a report that shows all users on a table and their scores. Not all users on said table will have a score, so in my solution I calculate the score first using a few CTE's then in a final CTE i pull a full roster and assign a default score to users with no actual score.
While the CTE's are not overly complex, they are also not simple. Separately when I run the calculation part of the CTE's for users with an actual score, it runs in less than a second. When I join to a final CTE that grabs the full roster and assigns default scores where the nulls appear (no actual score) the wheels completely fall off and it never completes.
I've experimented with switching up the indexes and refreshing them to no avail. I have noticed the join at agent_effectiveness when switched to INNER runs in one second, but I need it to be a LEFT join so it will pull in the whole roster even when no score is present.
EDIT*
Execution Plan Inner Join
Execution Plan Left Join
WITH agent_split_stats AS (
Select
racf,
agent_stats.SkillGroupSkillTargetID,
aht_target.EnterpriseName,
aht_target.target,
Sum(agent_stats.CallsHandled) as n_calls_handled,
CASE WHEN (Sum(agent_stats.TalkInTime) + Sum(agent_stats.IncomingCallsOnHoldTime) + Sum(agent_stats.WorkReadyTime)) = 0 THEN 1 ELSE
(Sum(agent_stats.TalkInTime) + Sum(agent_stats.IncomingCallsOnHoldTime) + Sum(agent_stats.WorkReadyTime)) END
AS total_handle_time
from tblAceyusAgntSklGrp as agent_stats
-- GET TARGETS
INNER JOIN tblCrosswalkWghtPhnEffTarget as aht_target
ON aht_target.SgId = agent_stats.SkillGroupSkillTargetID
AND agent_stats.DateTime BETWEEN aht_target.StartDt and aht_target.EndDt
-- GET RACF
INNER JOIN tblAgentMetricCrosswalk as xwalk
ON xwalk.SkillTargetID = agent_stats.SkillTargetID
--GET TAU DATA LIKE START DATE AND GRADUATED FLAG
INNER JOIN tblTauClassList AS T
ON T.SaRacf = racf
WHERE
--FILTERS BY A ROLLING 15 BUSINESS DAYS UNLESS THE DAYS BETWEEN CURRENT DATE AND TAU START DATE ARE <15
agent_stats.DateTime >=
CASE WHEN dbo.fn_WorkDaysAge(TauStart, GETDATE()) <15 THEN TauStart ELSE
dbo.fn_WorkDate15(TauStart)
END
And Graduated = 'No'
--WPE FILTERS TO ENSURE ACCURATE DATA
AND CallsHandled <> 0
AND Target is not null
Group By
racf, agent_stats.SkillGroupSkillTargetID, aht_target.EnterpriseName, aht_target.target
),
agent_split_stats_with_weight AS (
-- calculate weights
-- one row = one advocate + split
SELECT
agent_split_stats.*,
agent_split_stats.n_calls_handled/SUM(agent_split_stats.n_calls_handled) OVER(PARTITION BY agent_split_stats.racf) AS [weight]
FROM agent_split_stats
),
agent_split_effectiveness AS (
-- calculate the raw Effectiveness score for each eligible advocate/split
-- one row = one agent + split, with their raw Effectiveness score and the components of that
SELECT
agent_split_stats_with_weight.*,
-- these are the components of the Effectiveness score
(((agent_split_stats_with_weight.target * agent_split_stats_with_weight.n_calls_handled) / agent_split_stats_with_weight.total_handle_time)*100)*agent_split_stats_with_weight.weight AS effectiveness_sum
FROM agent_split_stats_with_weight
), -- this is where we show effectiveness per split select * from agent_split_effectiveness
agent_effectiveness AS (
-- sum all of the individual effectiveness raw scores for each agent to get each agent's raw score
SELECT
racf AS SaRacf,
ROUND(SUM(effectiveness_sum),2) AS WpeScore
FROM agent_split_effectiveness
GROUP BY racf
),
--GET FULL CLASS LIST, TAU DATES, GOALS FOR WHOLE CLASS
tau AS (
Select L.SaRacf, TauStart, Goal as WpeGoal
,CASE WHEN agent_effectiveness.WpeScore IS NULL THEN 1 ELSE WpeScore END as WpeScore
FROM tblTauClassList AS L
LEFT JOIN agent_effectiveness
ON agent_effectiveness.SaRacf = L.SaRacf
LEFT JOIN tblCrosswalkTauGoal AS G
ON G.Year = TauYear
AND G.Bucket = 'Wpe'
WHERE TermDate IS NULL
AND Graduated = 'No'
)
SELECT tau.*,
CASE WHEN dbo.fn_WorkDaysAge(TauStart, GETDATE()) > 14 --MUST BE AT LEAST 15 DAYS TO PASS
AND WpeScore >= WpeGoal THEN 'Pass'
ELSE 'Fail' END
from tau
This style of query runs fine in 3 other different calculation types (different score types). So i am unsure why its failing so badly here. Actual results should be a list of individuals, a date, a score, a goal and a score. When no score exists, a default score is provided. Additionally there is a pass/fail metric using the score/goal.
As #Habo mentioned, we need the actual execution plan (e.g. run the query with "include actual execution plan" turned on.) I looked over what you posted and there is nothing there that will explain the problem. The difference with the actual plan vs the estimated plan is that the actual number of rows retrieved are recorded; this is vital for troubleshooting poorly performing queries.
That said, I do see a HUGE problem with both queries. It's a problem that, once fixed will, improve both queries to less than a second. Your query is leveraging two scalar user Defined Functions (UDFs): dbo.fn_WorkDaysAge & dbo.fn_WorkDate15. Scalar UDFs ruin
everything. Not only are they slow, they force a serial execution plan which makes any query they are used in much slower.
I don't have the code for dbo.fn_WorkDaysAge or dbo.fn_WorkDate15 I have my own "WorkDays" function which is inline (code below). The syntax is a little different but the performance benefits are worth the effort. Here's the syntax difference:
-- Scalar
SELECT d.*, workDays = dbo.countWorkDays_scalar(d.StartDate,d.EndDate)
FROM <sometable> AS d;
-- Inline version
SELECT d.*, f.workDays
FROM <sometable> AS d
CROSS APPLY dbo.countWorkDays(d.StartDate,d.EndDate) AS f;
Here's a performance test I put together to show the difference between an inline version vs the scalar version:
-- SAMPLE DATA
IF OBJECT_ID('tempdb..#dates') IS NOT NULL DROP TABLE #dates;
WITH E1(x) AS (SELECT 1 FROM (VALUES(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) AS x(x)),
E3(x) AS (SELECT 1 FROM E1 a, E1 b, E1 c),
iTally AS (SELECT N=ROW_NUMBER() OVER (ORDER BY (SELECT 1)) FROM E3 a, E3 b)
SELECT TOP (100000)
StartDate = CAST(DATEADD(DAY,-ABS(CHECKSUM(NEWID())%1000),GETDATE()) AS DATE),
EndDate = CAST(DATEADD(DAY,+ABS(CHECKSUM(NEWID())%1000),GETDATE()) AS DATE)
INTO #dates
FROM iTally;
-- PERFORMANCE TESTS
PRINT CHAR(10)+'Scalar Version (always serial):'+CHAR(10)+REPLICATE('-',60);
GO
DECLARE #st DATETIME = GETDATE(), #workdays INT;
SELECT #workdays = dbo.countWorkDays_scalar(d.StartDate,d.EndDate)
FROM #dates AS d;
PRINT DATEDIFF(MS,#st,GETDATE());
GO 3
PRINT CHAR(10)+'Inline Version:'+CHAR(10)+REPLICATE('-',60);
GO
DECLARE #st DATETIME = GETDATE(), #workdays INT;
SELECT #workdays = f.workDays
FROM #dates AS d
CROSS APPLY dbo.countWorkDays(d.StartDate,d.EndDate) AS f
PRINT DATEDIFF(MS,#st,GETDATE());
GO 3
Results:
Scalar Version (always serial):
------------------------------------------------------------
Beginning execution loop
380
363
350
Batch execution completed 3 times.
Inline Version:
------------------------------------------------------------
Beginning execution loop
47
47
46
Batch execution completed 3 times.
As you can see - the inline version about 8 times faster than the scalar version. Replacing those scalar UDFs with an inline version will almost certainly speed this query up regardless of join type.
Other problems I see include:
I see a lot of Index scans, this is a sign you need more filtering and/or better indexes.
dbo.tblCrosswalkWghtPhnEffTarget does not have any indexes which means it will always get scanned.
Functions used for performance test:
-- INLINE VERSION
----------------------------------------------------------------------------------------------
IF OBJECT_ID('dbo.countWorkDays') IS NOT NULL DROP FUNCTION dbo.countWorkDays;
GO
CREATE FUNCTION dbo.countWorkDays (#startDate DATETIME, #endDate DATETIME)
/*****************************************************************************************
[Purpose]:
Calculates the number of business days between two dates (Mon-Fri) and excluded weekends.
dates.countWorkDays does not take holidays into considerations; for this you would need a
seperate "holiday table" to perform an antijoin against.
The idea is based on the solution in this article:
https://www.sqlservercentral.com/Forums/Topic153606.aspx?PageIndex=16
[Author]:
Alan Burstein
[Compatibility]:
SQL Server 2005+
[Syntax]:
--===== Autonomous
SELECT f.workDays
FROM dates.countWorkDays(#startdate, #enddate) AS f;
--===== Against a table using APPLY
SELECT t.col1, t.col2, f.workDays
FROM dbo.someTable t
CROSS APPLY dates.countWorkDays(t.col1, t.col2) AS f;
[Parameters]:
#startDate = datetime; first date to compare
#endDate = datetime; date to compare #startDate to
[Returns]:
Inline Table Valued Function returns:
workDays = int; number of work days between #startdate and #enddate
[Dependencies]:
N/A
[Developer Notes]:
1. NULL when either input parameter is NULL,
2. This function is what is referred to as an "inline" scalar UDF." Technically it's an
inline table valued function (iTVF) but performs the same task as a scalar valued user
defined function (UDF); the difference is that it requires the APPLY table operator
to accept column values as a parameter. For more about "inline" scalar UDFs see this
article by SQL MVP Jeff Moden: http://www.sqlservercentral.com/articles/T-SQL/91724/
and for more about how to use APPLY see the this article by SQL MVP Paul White:
http://www.sqlservercentral.com/articles/APPLY/69953/.
Note the above syntax example and usage examples below to better understand how to
use the function. Although the function is slightly more complicated to use than a
scalar UDF it will yield notably better performance for many reasons. For example,
unlike a scalar UDFs or multi-line table valued functions, the inline scalar UDF does
not restrict the query optimizer's ability generate a parallel query execution plan.
3. dates.countWorkDays requires that #enddate be equal to or later than #startDate. Otherwise
a NULL is returned.
4. dates.countWorkDays is NOT deterministic. For more deterministic functions see:
https://msdn.microsoft.com/en-us/library/ms178091.aspx
[Examples]:
--===== 1. Basic Use
SELECT f.workDays
FROM dates.countWorkDays('20180608', '20180611') AS f;
---------------------------------------------------------------------------------------
[Revision History]:
Rev 00 - 20180625 - Initial Creation - Alan Burstein
*****************************************************************************************/
RETURNS TABLE WITH SCHEMABINDING AS RETURN
SELECT workDays =
-- If #startDate or #endDate are NULL then rerturn a NULL
CASE WHEN SIGN(DATEDIFF(dd, #startDate, #endDate)) > -1 THEN
(DATEDIFF(dd, #startDate, #endDate) + 1) --total days including weekends
-(DATEDIFF(wk, #startDate, #endDate) * 2) --Subtact 2 days for each full weekend
-- Subtract 1 when startDate is Sunday and Substract 1 when endDate is Sunday:
-(CASE WHEN DATENAME(dw, #startDate) = 'Sunday' THEN 1 ELSE 0 END)
-(CASE WHEN DATENAME(dw, #endDate) = 'Saturday' THEN 1 ELSE 0 END)
END;
GO
-- SCALAR VERSION
----------------------------------------------------------------------------------------------
IF OBJECT_ID('dbo.countWorkDays_scalar') IS NOT NULL DROP FUNCTION dbo.countWorkDays_scalar;
GO
CREATE FUNCTION dbo.countWorkDays_scalar (#startDate DATETIME, #endDate DATETIME)
RETURNS INT WITH SCHEMABINDING AS
BEGIN
RETURN
(
SELECT workDays =
-- If #startDate or #endDate are NULL then rerturn a NULL
CASE WHEN SIGN(DATEDIFF(dd, #startDate, #endDate)) > -1 THEN
(DATEDIFF(dd, #startDate, #endDate) + 1) --total days including weekends
-(DATEDIFF(wk, #startDate, #endDate) * 2) --Subtact 2 days for each full weekend
-- Subtract 1 when startDate is Sunday and Substract 1 when endDate is Sunday:
-(CASE WHEN DATENAME(dw, #startDate) = 'Sunday' THEN 1 ELSE 0 END)
-(CASE WHEN DATENAME(dw, #endDate) = 'Saturday' THEN 1 ELSE 0 END)
END
);
END
GO
UPDATE BASED ON OP'S QUESTION IN THE COMMENTS:
First for the inline table valued function version of each function. Note that I'm using my own tables and don't have time to make the names match your environment but I did my best to include comments in the code. Also note that if, in your function, workingday = '1' is simply pulling weekdays then you'll find my function above to be a much faster alternative to your dbo.fn_WorkDaysAge function. If workingday = '1' also filters out holidays then it won't work.
CREATE FUNCTION dbo.fn_WorkDaysAge_itvf
(
#first_date DATETIME,
#second_date DATETIME
)
RETURNS TABLE AS RETURN
SELECT WorkDays = COUNT(*)
FROM dbo.dimdate -- DateDimension
WHERE DateValue -- [date]
BETWEEN #first_date AND #second_date
AND IsWeekend = 0 --workingday = '1'
GO
CREATE FUNCTION dbo.fn_WorkDate15_itvf
(
#TauStartDate DATETIME
)
RETURNS TABLE AS RETURN
WITH DATES AS
(
SELECT
ROW_NUMBER() OVER(Order By DateValue Desc) as RowNum, DateValue
FROM dbo.dimdate -- DateDimension
WHERE DateValue BETWEEN #TauStartDate AND --GETDATE() testing below
CASE WHEN GETDATE() < #TauStartDate + 200 THEN GETDATE() ELSE #TauStartDate + 200 END
AND IsWeekend = 0 --workingday = '1'
)
--Get the 15th businessday from the current date
SELECT DateValue
FROM DATES
WHERE RowNum = 16;
GO
Now, to replace your scalar UDFs with the inline table valued functions, you would do this (note my comments):
WITH agent_split_stats AS (
Select
racf,
agent_stats.SkillGroupSkillTargetID,
aht_target.EnterpriseName,
aht_target.target,
Sum(agent_stats.CallsHandled) as n_calls_handled,
CASE WHEN (Sum(agent_stats.TalkInTime) + Sum(agent_stats.IncomingCallsOnHoldTime) + Sum(agent_stats.WorkReadyTime)) = 0 THEN 1 ELSE
(Sum(agent_stats.TalkInTime) + Sum(agent_stats.IncomingCallsOnHoldTime) + Sum(agent_stats.WorkReadyTime)) END
AS total_handle_time
from tblAceyusAgntSklGrp as agent_stats
INNER JOIN tblCrosswalkWghtPhnEffTarget as aht_target
ON aht_target.SgId = agent_stats.SkillGroupSkillTargetID
AND agent_stats.DateTime BETWEEN aht_target.StartDt and aht_target.EndDt
INNER JOIN tblAgentMetricCrosswalk as xwalk
ON xwalk.SkillTargetID = agent_stats.SkillTargetID
INNER JOIN tblTauClassList AS T
ON T.SaRacf = racf
-- INLINE FUNCTIONS HERE:
CROSS APPLY dbo.fn_WorkDaysAge_itvf(TauStart, GETDATE()) AS wd
CROSS APPLY dbo.fn_WorkDate15_itvf(TauStart) AS w15
-- NEW WHERE CLAUSE:
WHERE agent_stats.DateTime >=
CASE WHEN wd.workdays < 15 THEN TauStart ELSE w15.workdays END
And Graduated = 'No'
AND CallsHandled <> 0
AND Target is not null
Group By
racf, agent_stats.SkillGroupSkillTargetID, aht_target.EnterpriseName, aht_target.target
),
agent_split_stats_with_weight AS (
SELECT
agent_split_stats.*,
agent_split_stats.n_calls_handled/SUM(agent_split_stats.n_calls_handled) OVER(PARTITION BY agent_split_stats.racf) AS [weight]
FROM agent_split_stats
),
agent_split_effectiveness AS
(
SELECT
agent_split_stats_with_weight.*,
(((agent_split_stats_with_weight.target * agent_split_stats_with_weight.n_calls_handled) /
agent_split_stats_with_weight.total_handle_time)*100)*
agent_split_stats_with_weight.weight AS effectiveness_sum
FROM agent_split_stats_with_weight
),
agent_effectiveness AS
(
SELECT
racf AS SaRacf,
ROUND(SUM(effectiveness_sum),2) AS WpeScore
FROM agent_split_effectiveness
GROUP BY racf
),
tau AS
(
SELECT L.SaRacf, TauStart, Goal as WpeGoal
,CASE WHEN agent_effectiveness.WpeScore IS NULL THEN 1 ELSE WpeScore END as WpeScore
FROM tblTauClassList AS L
LEFT JOIN agent_effectiveness
ON agent_effectiveness.SaRacf = L.SaRacf
LEFT JOIN tblCrosswalkTauGoal AS G
ON G.Year = TauYear
AND G.Bucket = 'Wpe'
WHERE TermDate IS NULL
AND Graduated = 'No'
)
SELECT tau.*,
-- NEW CASE STATEMENT HERE:
CASE WHEN wd.workdays > 14 AND WpeScore >= WpeGoal THEN 'Pass' ELSE 'Fail' END
from tau
-- INLINE FUNCTIONS HERE:
CROSS APPLY dbo.fn_WorkDaysAge_itvf(TauStart, GETDATE()) AS wd
CROSS APPLY dbo.fn_WorkDate15_itvf(TauStart) AS w15;
Note that I can't test this right now but it should be correct (or close)
UPDATE
I accepted Alan's answer, i ended up doing the following. Posting examples hoping the formatting helps someone, it slowed me down a bit...or maybe I am just slow heh heh.
1. Changed my Scalar UDF to InlineTVF
SCALAR Function 1-
ALTER FUNCTION [dbo].[fn_WorkDaysAge]
(
-- Add the parameters for the function here
#first_date DATETIME,
#second_date DATETIME
)
RETURNS int
AS
BEGIN
-- Declare the return variable here
DECLARE #WorkDays int
-- Add the T-SQL statements to compute the return value here
SELECT #WorkDays = COUNT(*)
FROM DateDimension
WHERE Date BETWEEN #first_date AND #second_date
AND workingday = '1'
-- Return the result of the function
RETURN #WorkDays
END
iTVF function 1-
ALTER FUNCTION [dbo].[fn_iTVF_WorkDaysAge]
(
-- Add the parameters for the function here
#FirstDate as Date,
#SecondDate as Date
)
RETURNS TABLE AS RETURN
SELECT WorkDays = COUNT(*)
FROM DateDimension
WHERE Date BETWEEN #FirstDate AND #SecondDate
AND workingday = '1'
I then updated my next function the same way. I added the CROSS APPLY (something ive personally not used, im still a newbie) as indicated below and replaced the UDFs with the field names in my case statement.
Old Code
INNER JOIN tblTauClassList AS T
ON T.SaRacf = racf
WHERE
--FILTERS BY A ROLLING 15 BUSINESS DAYS UNLESS THE DAYS BETWEEN CURRENT DATE AND TAU START DATE ARE <15
agent_stats.DateTime >=
CASE WHEN dbo.fn_WorkDaysAge(TauStart, GETDATE()) <15 THEN TauStart ELSE
dbo.fn_WorkDate15(TauStart)
END
New Code
INNER JOIN tblTauClassList AS T
ON T.SaRacf = racf
--iTVFs
CROSS APPLY dbo.fn_iTVF_WorkDaysAge(TauStart, GETDATE()) as age
CROSS APPLY dbo.fn_iTVF_WorkDate_15(TauStart) as roll
WHERE
--FILTERS BY A ROLLING 15 BUSINESS DAYS UNLESS THE DAYS BETWEEN CURRENT DATE AND TAU START DATE ARE <15
agent_stats.DateTime >=
CASE WHEN age.WorkDays <15 THEN TauStart ELSE
roll.Date
END
New code runs in 3-4 seconds. I will go back and index the appropriate tables per your recommendation and probably gain more efficiency there.
Cannot thank you enough!

Alternative to cursor when applying a list of values to a where clause?

What's an alternative to getting a distinct number of dates, say all the dates for September:
9/1/2016
9/2/2016
9/3/2016
and apply each value to a query. Say something like:
Select GuitarId,GuitarBrand
From GuitarSales
Where GuitarDate = #date
I don't want to use a cursor, is there an alternative to doing this?
I tried a CTE but even then I'd have to apply the cursor for each date.
If you want all the dates for a month you can use
Select GuitarId,GuitarBrand
From GuitarSales
Where month(GuitarDate) = 9
and year(GuitarDate) = 2016;
If I understand you correctly, you need a list of all dates in September. This is a quick solution to get a gapless list of all days in September: In your query you can use this as source and LEFT JOIN your actual data.
WITH RunningNumbers AS
(
SELECT TOP(30) ROW_NUMBER() OVER(ORDER BY (SELECT NULL))-1 AS Nr
FROM sys.objects
)
SELECT {d'2016-09-01'}+Nr AS RunningDate
FROM RunningNumbers
There are many examples, how you can create a tally table on the fly. Small numbers (like 30 in this example) can be taken easily from any table with sufficient rows.
If you need this more often you might think about a Numbers-Table
a related question: https://stackoverflow.com/a/39387790/5089204
create a persitant numbers table with a lot of usefull side data: https://stackoverflow.com/a/32474751/5089204
Assuming you have an index on GuitarDate here is a way you can create a SARGable where predicate so you can still leverage the speed of using an index seek.
declare #date datetime = '2016-09-10' --just to demonstrate starting with September 10, 2016
select gs.GuitarId
, gs.GuitarBrand
From GuitarSales gs
where gs.GuitarDate >= dateadd(month, datediff(month, 0, #date), 0) --beginning of the month for #date
and gs.GuitarDate < dateadd(month, datediff(month, 0, #date) + 1, 0) --beginning of next month

SQL - Combine another SELECT query with a JOIN

I found this post on stackoverflow, Add a summary row with totals
What I'm trying to accomplish is just that, but with the converted DURATION field I have listed in this WITH statement below. I'm trying to TOTAL up the Durations column for that day(24 hr period). I don't know if it's possible. Let me know. Thank you!
;WITH dupes AS
(
SELECT
CALLER_PHONE, DIALED_PHONE
FROM
dbo.PBXDATA
GROUP BY
CALLER_PHONE, DIALED_PHONE
)
SELECT
c.CALL_TIME, c.SALES_REP, c.CALL_TYPE, c.FLAG1,
COALESCE(NULLIF(c.FLAG3, 'NULL'),'') AS FLAG3,
ISNULL(dupes.CALLER_PHONE, '') + ISNULL(dupes.DIALED_PHONE,'') AS PHONE,
CONVERT(VARCHAR(8), c.DURATION, 108) AS DURATION
FROM
dupes
JOIN
dbo.PBXDATA c ON dupes.CALLER_PHONE = c.CALLER_PHONE
OR dupes.DIALED_PHONE = c.DIALED_PHONE
WHERE
(c.SALES_REP LIKE 'Doug%' OR
c.SALES_REP LIKE 'Nick%' OR
c.SALES_REP LIKE 'Bob%' OR
c.SALES_REP LIKE 'Joe%' OR
c.SALES_REP LIKE 'John%')
AND (c.CALL_TIME >= DATEADD(DAY, 0, DATEDIFF(DAY, 0, CURRENT_TIMESTAMP)))
AND (c.CALL_TIME < DATEADD(DAY, 1, DATEDIFF(DAY, 0, CURRENT_TIMESTAMP)))
AND DURATION = (SELECT CAST(DATEADD(S, SUM(DATEDIFF(S, '00:00:00', DURATION)), '00:00:00') AS TIME)
FROM dbo.PBXDATA)
ORDER BY
c.CALL_TIME;
If you just want an overall total for the Duration in your dupes table, you can just sum your Duration there.
;WITH dupes AS
(
SELECT CALLER_PHONE, DIALED_PHONE, convert(varchar(8), SUM(c.DURATION), 108) AS Total_Time
FROM dbo.PBXDATA
GROUP BY CALLER_PHONE, DIALED_PHONE
)
And add , Total_Time to your SELECT statement.
If you have multiple days in your query, you would need to add the date field in the dupes and add it as part of the JOIN's ON clause.

How to query DATETIME field using only date in Microsoft SQL Server?

I have a table TEST with a DATETIME field, like this:
ID NAME DATE
1 TESTING 2014-03-19 20:05:20.000
What I need a query returning this row and every row with date 03/19/2014, no matter what the time is. I tried using
select * from test where date = '03/19/2014';
But it returns no rows. The only way to make it work that I found is to also provide the time portion of the date:
select * from test where date = '03/19/2014 20:03:02.000';
use range, or DateDiff function
select * from test
where date between '03/19/2014' and '03/19/2014 23:59:59'
or
select * from test
where datediff(day, date, '03/19/2014') = 0
Other options are:
If you have control over the database schema, and you don't need the
time data, take it out.
or, if you must keep it, add a computed column attribute that has the time portion of the date value stripped off...
Alter table Test
Add DateOnly As
DateAdd(day, datediff(day, 0, date), 0)
or, in more recent versions of SQL Server...
Alter table Test
Add DateOnly As
Cast(DateAdd(day, datediff(day, 0, date), 0) as Date)
then, you can write your query as simply:
select * from test
where DateOnly = '03/19/2014'
Simple answer;
select * from test where cast ([date] as date) = '03/19/2014';
I am using MySQL 5.6 and there is a DATE function to extract only the date part from date time. So the simple solution to the question is -
select * from test where DATE(date) = '2014-03-19';
http://dev.mysql.com/doc/refman/5.6/en/date-and-time-functions.html
This works for me for MS SQL server:
select * from test
where
year(date) = 2015
and month(date) = 10
and day(date)= 28 ;
select * from test
where date between '03/19/2014' and '03/19/2014 23:59:59'
This is a realy bad answer. For two reasons.
1.
What happens with times like 23.59.59.700 etc.
There are times larger than 23:59:59 and the next day.
2.
The behaviour depends on the datatype.
The query behaves differently for datetime/date/datetime2 types.
Testing with 23:59:59.999 makes it even worse because depending on the datetype you get different roundings.
select convert (varchar(40),convert(date , '2014-03-19 23:59:59.999'))
select convert (varchar(40),convert(datetime , '2014-03-19 23:59:59.999'))
select convert (varchar(40),convert(datetime2 , '2014-03-19 23:59:59.999'))
-- For date the value is 'chopped'.
-- For datetime the value is rounded up to the next date. (Nearest value).
-- For datetime2 the value is precise.
use this
select * from TableName where DateTimeField > date() and DateTimeField < date() + 1
Try this
select * from test where Convert(varchar, date,111)= '03/19/2014'
you can try this
select * from test where DATEADD(dd, 0, DATEDIFF(dd, 0, date)) = '03/19/2014';
There is a problem with dates and languages and the way to avoid it is asking for dates with this format YYYYMMDD.
This way below should be the fastest according to the link below. I checked in SQL Server 2012 and I agree with the link.
select * from test where date >= '20141903' AND date < DATEADD(DAY, 1, '20141903');
Bad habits to kick : mis-handling date / range queries
You can use this approach which truncates the time part:
select * from test
where convert(datetime,'03/19/2014',102) = DATEADD(dd, DATEDIFF(dd, 0, date), 0)
-- Reverse the date format
-- this false:
select * from test where date = '28/10/2015'
-- this true:
select * from test where date = '2015/10/28'
Simply use this in your WHERE clause.
The "SubmitDate" portion below is the column name, so insert your own.
This will return only the "Year" portion of the results, omitting the mins etc.
Where datepart(year, SubmitDate) = '2017'
select *, cast ([col1] as date) <name of the column> from test where date = 'mm/dd/yyyy'
"col1" is name of the column with date and time
<name of the column> here you can change name as desired
select *
from invoice
where TRUNC(created_date) <=TRUNC(to_date('04-MAR-18 15:00:00','dd-mon-yy hh24:mi:ss'));
Test this query.
SELECT *,DATE(chat_reg_date) AS is_date,TIME(chat_reg_time) AS is_time FROM chat WHERE chat_inbox_key='$chat_key'
ORDER BY is_date DESC, is_time DESC
select * from invoice where TRANS_DATE_D>= to_date ('20170831115959','YYYYMMDDHH24MISS')
and TRANS_DATE_D<= to_date ('20171031115959','YYYYMMDDHH24MISS');
SELECT * FROM test where DATEPART(year,[TIMESTAMP]) = '2018' and DATEPART(day,[TIMESTAMP]) = '16' and DATEPART(month,[TIMESTAMP]) = '11'
use trunc(column).
select * from test t where trunc(t.date) = TO_DATE('2018/06/08', 'YYYY/MM/DD')

Select Range of Dates, Including Ones With No Results [duplicate]

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.

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