I have the following table in a SQL db (HeartbeatHistory)
Timestamp | Comment | Id
------------------------
The comment can contain OK or ERR
The Id is the Id of the thing that has that comment.
I want to be able to query the table and find the durations that any given id was in an Error state.
Timestamp | Comment | Id
------------------------
12:00:00 | OK | 1
11:59:00 | ERR | 2
11:58:00 | OK | 4
11:57:00 | OK | 3
11:45:00 | ERR | 4
11:20:00 | OK | 2
11:00:00 | ERR | 3
11:30:00 | OK | 5
11:20:00 | ERR | 1
11:10:00 | OK | 1
11:00:00 | ERR | 1
10:30:00 | ERR | 5
So in the above table If I queried for 11:00:00 to 13:00:00 I would want to see.
ErrorStart | ErrorEnd | Id
--------------------------
11:00:00 | 11:10:00 | 1
11:20:00 | 12:00:00 | 1
11:59:00 | 12:00:00 | 2
11:00:00 | 11:57:00 | 3
11:45:00 | 11:58:00 | 4
11:00:00 | 11:30:00 | 5
(notice 5 started error before query date!!)
Is this possible? Also an Id might change state multiple times during the queried period.
So far I have this, which works for a single Id, but I need to make it work for multiple Ids.
declare #startDate datetime = #from;
declare #endDate datetime = #to;
declare #kpiId = 1;
select Foo.RowCreatedTimestamp, Foo.Comment, Foo.NextTimeStamp, Foo.NextComment, Foo.HeartBeatId, Foo.NextHeartBeatId
from (
select RowCreatedTimestamp, Comment,
lag(RowCreatedTimestamp, 1, 0) over (order by RowCreatedTimestamp desc) as NextTimeStamp,
lag(Comment, 1, 0) over (order by RowCreatedTimestamp desc) as NextComment,
HeartBeatId
from dbo.tblHeartbeatHistory
where RowCreatedTimestamp >= #startDate and RowCreatedTimestamp <= #endDate
and HeartbeatId in
(
select HeartbeatId
from dbo.tblKpiHeartBeats
where KpiId = #kpiId
)
) as Foo
where Foo.Comment like '%set to ERR%'
order by Foo.RowCreatedTimestamp desc;
So if the select HeartbeatId from dbo.tblKpiHeartBeats returns a single Id, this works. As soon as their are multiple id's it does not :(
To avoid confusion:
The table with the Timestamp, Comment and Id is HeartbeatHistory.
The other table referenced in my SQL is dbo.tblKpiHeartBeats.
This table looks like:
Kpi | HeartbeatId
-----------------
1 | 1
1 | 2
1 | 3
1 | 4
1 | 5
So i want all the error intervals for Kpi = 1, it would return the error intervals for HeartbeatId 1,2,3,4 and 5.
Further note. The data may have multiple errors in a row before an OK comes in.
It may just be all ERR for the query period or all OK.
You can add second CTE Id you want full join ERR AND OK rows (Code below only for OK rows)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
), Errors AS(
SELECT Id, MIN(Timestamp) AS ErrorStart
FROM History
WHERE Comment = 'ERR'
GROUP BY Id
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
LEFT JOIN Errors E ON E.Id = O.Id
WHERE O.Comment = 'OK'
Edit: You can add prevOK timespan (or PK) column to the table (probably computed persistent) - link to last good row. It will be used as Id of row in your report.
Try this index:
CREATE INDEX IDX_EXAMPLE ON HeartbeatHistory (Timestamp, Id, prevOK, Comment)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
OUTER APPLY (
SELECT MIN(Timestamp) AS ErrorStart
FROM History E
WHERE E.Id = O.ID AND E.prevOK = O.prevOK
)
WHERE O.Comment = 'OK'
The simplest method is to use lead(). If I assume that ERR does not occur twice in a row (as in your sample data):
select (case when timestamp >= '11:00:00' then timestamp else '11:00:00' end) as errorStart,
(case when next_timestamp <= '13:00:00' then next_timestamp else '13:00:00') as errorEnd,
id
from (select t.*,
lead(timestamp) over (partition by id order by timestamp) as next_timestamp
from t
) t
where comment = 'ERR' and
(timestamp <= '13:00:00' and
(next_timestamp >= '11:00:00' or next_timestamp is null)
);
Try this:
DECLARE #table TABLE (Timestmp TIME(1), Comment NVARCHAR(5), Id INT) --your table
INSERT INTO #table VALUES
('12:00:00','OK ','1'),('11:59:00','ERR','2'),('11:58:00','OK ','4'),('11:57:00','OK ','3'),
('11:45:00','ERR','4'),('11:20:00','OK ','2'),('11:00:00','ERR','3'),('11:30:00','OK ','5'),
('11:20:00','ERR','1'),('11:10:00','OK ','1'),('11:00:00','ERR','1'),('10:30:00','ERR','5')
DECLARE #ROWER TABLE (id INT IDENTITY(1,1), Timestmp TIME(1))
INSERT INTO #ROWER SELECT Timestmp FROM #table WHERE Comment='OK' ORDER BY Timestmp
DECLARE #TIME TIME(1) = '11:00:00' --your condition
SELECT DISTINCT CASE WHEN A.Timestmp >=#TIME THEN A.Timestmp ELSE #TIME END ErrorStart,
CASE WHEN B.Timestmp > A.Timestmp THEN B.Timestmp ELSE '' END ErrorEnd,
A.Id FROM (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'ERR'
) A LEFT JOIN (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'OK'
) B ON A.rowid = B.rowid
LEFT JOIN ( SELECT A.id,A.Timestmp t1,B.Timestmp t2 FROM #ROWER A
LEFT JOIN (SELECT id-1 id, Timestmp FROM #ROWER) B ON A.id=B.id
) C ON A.Timestmp BETWEEN C.t1 AND C.t2 ORDER BY A.Id
Hope it helps. :)
Related
I need some help with SQL.
I have
Table1 with columns Id, Date1 and Date2
Table2 with columns Table1Id and Table2Id
Table3 with columns Id and Name
Here is my try:
with tmp_tab as (
select
v."Name" as name
, date_part('month', cv."OfferAcceptedDate") as MonthAcceptedName
, date_part('month', cv."OfferSentDate") as MonthSentName
, 1 as cntAcc
, 1 as cntSent
from hr_metrics."CvInfo" as cv
join hr_metrics."CvInfoVacancy" as civ
on civ."CvInfosId" = cv."Id"
join hr_metrics."Vacancy" as v
on civ."VacanciesId" = v."Id"
where cv."OfferSentDate" is not null
and date_part('year', cv."OfferSentDate") = date_part('year', CURRENT_DATE)
group by v."Name" , date_part('month', cv."OfferAcceptedDate"),
date_part('month', cv."OfferSentDate")
)
select distinct
tmp_tab."name" as name,
tmp_tab.MonthSentName as mSent,
tmp_tab.MonthAcceptedName as mAcc,
Sum(tmp_tab.cntSent) as sented,
Sum(tmp_tab.cntacc) as accepted
from tmp_tab as tmp_tab
group by tmp_tab.name, tmp_tab.MonthSentName, tmp_tab.MonthAcceptedName;
I need to take Count(date2)/Count(date1) grouped by monthes and name.
I have no idea how to do that, as there is no table with monthes.
DB - Postgres
sample data from comment:
t1
1 | 01/01/2021 | 31/03/2021
2 | 05/01/2021 | 18/01/2021
3 | 12/01/2021 | 31/01/2021
4 | 13/03/2021 | 22/03/2021
t2
1 | 1
2 | 1
3 | 2
4 | 1
t3
1 | SomeName1
2 | someName2
Desired result:
Name | month | value
SomeName1 | 1 | 1\2
SomeName1 | 3 | 2
SomeName2 | 1 | 1
Update: if count(date2) == 0, than count(date2) = -1
Source answer
Here code for my question thats work. And yeah, i've asked it on ru too.
select name, month, sum((SRC=1)::int) as AcceptedCount, sum((SRC=2)::int) as SentCount,
case when sum((SRC=1)::int) = 0 then -1
else sum((SRC=2)::int)::float / sum((SRC=1)::int) end as Result
from (
select v.name, SRC,
extract('month' from case SRC when 1 then OfferAcceptedDate else OfferSentDate end) as month
from (select (date_part('year', CURRENT_DATE)::char(4) || '-01-01')::timestamptz as from_date) x
cross join (select 1 as SRC union all select 2) s
join CvInfo as cv on (SRC=1 and cv.OfferAcceptedDate >= from_date and cv.OfferAcceptedDate < from_date + interval '1 year')
or (SRC=2 and cv.OfferSentDate >= from_date and cv.OfferSentDate < from_date + interval '1 year')
join CvInfoVacancy as civ on civ.CvInfosId = cv.Id
join Vacancy as v on civ.VacanciesId = v.Id
where case SRC when 1 then OfferAcceptedDate else OfferSentDate end is not null
) x
group by name, month
I have the following view in my SQL database, which selects data from a Transaction table and a Customer table:
+-------+-----------+---------------------+--------+
| RowNo | Name | Date | Amount |
+-------+-----------+---------------------+--------+
| 1 | Customer1 | 2018-11-10 01:00:00 | 55.49 |
| 2 | Customer2 | 2018-11-10 02:00:00 | 58.15 |
| 3 | Customer3 | 2018-11-10 03:00:00 | 79.15 |
| 4 | Customer1 | 2018-11-11 04:00:00 | 41.89 |
| 5 | Customer2 | 2018-11-11 05:00:00 | 5.15 |
| 6 | Customer3 | 2018-11-11 06:00:00 | 35.17 |
| 7 | Customer1 | 2018-11-12 07:00:00 | 43.78 |
| 8 | Customer1 | 2018-11-12 08:00:00 | 93.78 |
| 9 | Customer2 | 2018-11-12 09:00:00 | 80.74 |
+-------+-----------+---------------------+--------+
I need an SQL query that will return all a customer's transactions for a given day (easy enough), but then if a customer had no transactions on the given day, the query must return the customer's most recent transaction.
Edit:
The view is as follows:
Create view vwReport as
Select c.Name, t.Date, t.Amount
from Transaction t
inner join Customer c on c.Id = t.CustomerId
And then to get the data I just do a select from the view:
Select * from
vwReport r
where r.Date between '2018-11-10 00:00:00' and '2018-11-11 00:00:00'
So, to clarify, I need one query that returns all the customer transactions for a day, and included in that results set is the last transaction of any customers who don't have a transaction on that day. So, in the table above, running the query for 2018-11-12, should return row 7, 8 and 9, as well as row 6 for Customer3 that did not have a transaction on the 12th.
Take your existing query and UNION ALL it with a "most recent transaction query" for everyone who doesn't have a transaction in that range.
with found as
(
select c.Id, c.Name, t.Date, t.Amount
from Transaction t
inner join Customer c on c.Id = t.CustomerId
where Date between '2018-11-10 00:00:00' and '2018-11-11 00:00:00'
)
with unfound as
(
select c.Id, c.Name, t.Date, t.Amount, RANK() OVER (PARTITION BY Name ORDER BY CAST(Date AS DATE) DESC) AS row
from Transaction t
inner join Customer c on c.Id = t.CustomerId
WHERE Date < '2018-11-10 00:00:00'
)
select Name, Date, Amount
from found
union all
select Name, Date, Amount
from unfound
where Id not in ( select Id from found ) and row = 1
You're interested in selecting multiple rows with ties, you could use the RANK() function to find all rows ranked by date descending:
SELECT * FROM (
SELECT *, RANK() OVER (PARTITION BY Name ORDER BY CAST(Date AS DATE) DESC) AS rn
FROM txntbl
WHERE CAST(Date AS DATE) <= '2018-11-12'
) AS x
WHERE rn = 1
Demo on DB Fiddle
You can use a correlated subquery:
select t.*
from transactions t
where t.date = (select max(t2.date)
from transactions t2
where t2.name = t.name and
t2.date <= #date
);
Note: This only returns customers who had a transaction on or before the date in question.
With the limited information available from the question, the following presents a solution using a join as opposed to a correlated subquery:
select t1.*
from
vwReport t1 inner join
(
select t2.name, max(t2.date) as mdate
from vwReport t2
group by t2.name
) t3
on t1.name = t3.name and t1.date = t3.mdate
where
t1.date <= #date
Use UNION for the last date transactions only if there are no transactions for the given dates (BETWEEN '2018-11-10 00:00:00' AND '2018-11-11 00:00:00'):
SELECT * FROM vwReport r
WHERE (r.Date BETWEEN '2018-11-10 00:00:00' AND '2018-11-11 00:00:00')
AND (r.Name = #name)
UNION
SELECT * FROM vwReport r
WHERE (r.Date = (SELECT MAX(r.Date) FROM vwReport r WHERE r.Name = #name))
AND (r.Name = #name)
AND ((SELECT COUNT(*) FROM vwReport r
WHERE (r.Date BETWEEN '2018-11-10 00:00:00' AND '2018-11-11 00:00:00')
AND (r.Name = #name)) = 0)
I need to create a report and I am struggling with the SQL script.
The table I want to query is a company_status_history table which has entries like the following (the ones that I can't figure out)
Table company_status_history
Columns:
| id | company_id | status_id | effective_date |
Data:
| 1 | 10 | 1 | 2016-12-30 00:00:00.000 |
| 2 | 10 | 5 | 2017-02-04 00:00:00.000 |
| 3 | 11 | 5 | 2017-06-05 00:00:00.000 |
| 4 | 11 | 1 | 2018-04-30 00:00:00.000 |
I want to answer to the question "Get all companies that have been at least for some point in status 1 inside the time period 01/01/2017 - 31/12/2017"
Above are the cases that I don't know how to handle since I need to add some logic of type :
"If this row is status 1 and it's date is before the date range check the next row if it has a date inside the date range."
"If this row is status 1 and it's date is after the date range check the row before if it has a date inside the date range."
I think this can be handled as a gaps and islands problem. Consider the following input data: (same as sample data of OP plus two additional rows)
id company_id status_id effective_date
-------------------------------------------
1 10 1 2016-12-15
2 10 1 2016-12-30
3 10 5 2017-02-04
4 10 4 2017-02-08
5 11 5 2017-06-05
6 11 1 2018-04-30
You can use the following query:
SELECT t.id, t.company_id, t.status_id, t.effective_date, x.cnt
FROM company_status_history AS t
OUTER APPLY
(
SELECT COUNT(*) AS cnt
FROM company_status_history AS c
WHERE c.status_id = 1
AND c.company_id = t.company_id
AND c.effective_date < t.effective_date
) AS x
ORDER BY company_id, effective_date
to get:
id company_id status_id effective_date grp
-----------------------------------------------
1 10 1 2016-12-15 0
2 10 1 2016-12-30 1
3 10 5 2017-02-04 2
4 10 4 2017-02-08 2
5 11 5 2017-06-05 0
6 11 1 2018-04-30 0
Now you can identify status = 1 islands using:
;WITH CTE AS
(
SELECT t.id, t.company_id, t.status_id, t.effective_date, x.cnt
FROM company_status_history AS t
OUTER APPLY
(
SELECT COUNT(*) AS cnt
FROM company_status_history AS c
WHERE c.status_id = 1
AND c.company_id = t.company_id
AND c.effective_date < t.effective_date
) AS x
)
SELECT id, company_id, status_id, effective_date,
ROW_NUMBER() OVER (PARTITION BY company_id ORDER BY effective_date) -
cnt AS grp
FROM CTE
Output:
id company_id status_id effective_date grp
-----------------------------------------------
1 10 1 2016-12-15 1
2 10 1 2016-12-30 1
3 10 5 2017-02-04 1
4 10 4 2017-02-08 2
5 11 5 2017-06-05 1
6 11 1 2018-04-30 2
Calculated field grp will help us identify those islands:
;WITH CTE AS
(
SELECT t.id, t.company_id, t.status_id, t.effective_date, x.cnt
FROM company_status_history AS t
OUTER APPLY
(
SELECT COUNT(*) AS cnt
FROM company_status_history AS c
WHERE c.status_id = 1
AND c.company_id = t.company_id
AND c.effective_date < t.effective_date
) AS x
), CTE2 AS
(
SELECT id, company_id, status_id, effective_date,
ROW_NUMBER() OVER (PARTITION BY company_id ORDER BY effective_date) -
cnt AS grp
FROM CTE
)
SELECT company_id,
MIN(effective_date) AS start_date,
CASE
WHEN COUNT(*) > 1 THEN DATEADD(DAY, -1, MAX(effective_date))
ELSE MIN(effective_date)
END AS end_date
FROM CTE2
GROUP BY company_id, grp
HAVING COUNT(CASE WHEN status_id = 1 THEN 1 END) > 0
Output:
company_id start_date end_date
-----------------------------------
10 2016-12-15 2017-02-03
11 2018-04-30 2018-04-30
All you want know is those records from above that overlap with the specified interval.
Demo here with somewhat more complicated use case.
Maybe this is what you are looking for? For these kind of questions, you need to join two instance of your table, in this case I am just joining with next record by Id, which probably is not totally correct. To do it better, you can create a new Id using a windowed function like row_number, ordering the table by your requirement criteria
If this row is status 1 and it's date is before the date range check
the next row if it has a date inside the date range
declare #range_st date = '2017-01-01'
declare #range_en date = '2017-12-31'
select
case
when csh1.status_id=1 and csh1.effective_date<#range_st
then
case
when csh2.effective_date between #range_st and #range_en then true
else false
end
else NULL
end
from company_status_history csh1
left join company_status_history csh2
on csh1.id=csh2.id+1
Implementing second criteria:
"If this row is status 1 and it's date is after the date range check
the row before if it has a date inside the date range."
declare #range_st date = '2017-01-01'
declare #range_en date = '2017-12-31'
select
case
when csh1.status_id=1 and csh1.effective_date<#range_st
then
case
when csh2.effective_date between #range_st and #range_en then true
else false
end
when csh1.status_id=1 and csh1.effective_date>#range_en
then
case
when csh3.effective_date between #range_st and #range_en then true
else false
end
else null -- ¿?
end
from company_status_history csh1
left join company_status_history csh2
on csh1.id=csh2.id+1
left join company_status_history csh3
on csh1.id=csh3.id-1
I would suggest the use of a cte and the window functions ROW_NUMBER. With this you can find the desired records. An example:
DECLARE #t TABLE(
id INT
,company_id INT
,status_id INT
,effective_date DATETIME
)
INSERT INTO #t VALUES
(1, 10, 1, '2016-12-30 00:00:00.000')
,(2, 10, 5, '2017-02-04 00:00:00.000')
,(3, 11, 5, '2017-06-05 00:00:00.000')
,(4, 11, 1, '2018-04-30 00:00:00.000')
DECLARE #StartDate DATETIME = '2017-01-01';
DECLARE #EndDate DATETIME = '2017-12-31';
WITH cte AS(
SELECT *
,ROW_NUMBER() OVER (PARTITION BY company_id ORDER BY effective_date) AS rn
FROM #t
),
cteLeadLag AS(
SELECT c.*, ISNULL(c2.effective_date, c.effective_date) LagEffective, ISNULL(c3.effective_date, c.effective_date)LeadEffective
FROM cte c
LEFT JOIN cte c2 ON c2.company_id = c.company_id AND c2.rn = c.rn-1
LEFT JOIN cte c3 ON c3.company_id = c.company_id AND c3.rn = c.rn+1
)
SELECT 'Included' AS RangeStatus, *
FROM cteLeadLag
WHERE status_id = 1
AND effective_date BETWEEN #StartDate AND #EndDate
UNION ALL
SELECT 'Following' AS RangeStatus, *
FROM cteLeadLag
WHERE status_id = 1
AND effective_date > #EndDate
AND LagEffective BETWEEN #StartDate AND #EndDate
UNION ALL
SELECT 'Trailing' AS RangeStatus, *
FROM cteLeadLag
WHERE status_id = 1
AND effective_date < #EndDate
AND LeadEffective BETWEEN #StartDate AND #EndDate
I first select all records with their leading and lagging Dates and then I perform your checks on the inclusion in the desired timespan.
Try with this, self-explanatory. Responds to this part of your question:
I want to answer to the question "Get all companies that have been at
least for some point in status 1 inside the time period 01/01/2017 -
31/12/2017"
Case that you want to find those id's that have been in any moment in status 1 and have records in the period requested:
SELECT *
FROM company_status_history
WHERE id IN
( SELECT Id
FROM company_status_history
WHERE status_id=1 )
AND effective_date BETWEEN '2017-01-01' AND '2017-12-31'
Case that you want to find id's in status 1 and inside the period:
SELECT *
FROM company_status_history
WHERE status_id=1
AND effective_date BETWEEN '2017-01-01' AND '2017-12-31'
I am not sure if this scenario can be achieved using TSQL. I have a table called WorkingDays, which have this info
ID | EmployeeId | Monday | Tuesday | Wednesday | Thursday | Friday
----------------------------------------------------------------------
1 | 1 | 2 | 2 | 3 | 6 | 5
2 | 2 | 1 | 7 | 5 | 2 | 3
The days columns store Ids of WorkingSchedule table, which has this columns:
ID int Primary Key
StartTime time
EndTime time
So what I need id get the StartTime and EndTime of an employee depending on the current date.
What I need to get from query is the start and end time depending on the day. The day I want to filter is de current date (using getdate() function)
So need to select the correct day column name to make the join.
How can I achieve this scenario?
The dynamic sql version:
declare #sql nvarchar(max) ='
select
t.EmployeeId
, StarTime = max(case when t.rn=1 then '+quotename(datename(weekday,getdate()))+' end)
, EndTime = max(case when t.rn=2 then '+quotename(datename(weekday,getdate()))+' end)
from (
select *
, rn = row_number() over (partition by t.EmployeeId order by t.Id)
from t
) t
group by t.EmployeeId;'
exec sp_executesql #sql;
rextester demo: http://rextester.com/WNH34961
returns:
+------------+----------+---------+
| EmployeeId | StarTime | EndTime |
+------------+----------+---------+
| 1 | 5 | 3 |
+------------+----------+---------+
Depending on how you want the output, here are two other ways that do not use dynamic sql:
Both use cross apply() to unpivot the data, and WorkDay = datename(weekday,getdate()) to get the current WorkDay column.
For one row output we add some conditional aggregation:
/* one row per employeeId */
select
t.EmployeeId
, x.WorkDay
, StarTime = max(case when t.rn=1 then x.Time end)
, EndTime = max(case when t.rn=2 then x.Time end)
from (
select *
, rn = row_number() over (partition by t.EmployeeId order by t.Id)
from t
) t
cross apply (values
('Monday',Monday),('Tuesday',Tuesday),('Wednesday',Wednesday)
,('Thursday',Thursday),('Friday',Friday)
) x (WorkDay,Time)
where WorkDay = datename(weekday,getdate())
group by t.EmployeeId, x.WorkDay
returns:
+------------+---------+----------+---------+
| EmployeeId | WorkDay | StarTime | EndTime |
+------------+---------+----------+---------+
| 1 | Friday | 5 | 3 |
+------------+---------+----------+---------+
If you want the output on two rows, like your current output:
/* two rows per employeeId */
select
t.Id
, t.EmployeeId
, x.WorkDay
, t.StartEnd
, x.Time
from (
select *
, StartEnd = case
when row_number() over (partition by t.EmployeeId order by t.Id) = 1
then 'StartTime'
else 'EndTime'
end
from t
) t
cross apply (values
('Monday',Monday),('Tuesday',Tuesday),('Wednesday',Wednesday)
,('Thursday',Thursday),('Friday',Friday)
) x (WorkDay,Time)
where WorkDay = datename(weekday,getdate());
returns:
+----+------------+---------+-----------+------+
| Id | EmployeeId | WorkDay | StartEnd | Time |
+----+------------+---------+-----------+------+
| 1 | 1 | Friday | StartTime | 5 |
| 2 | 1 | Friday | EndTime | 3 |
+----+------------+---------+-----------+------+
select wd.Employee, ws.StartTime, ws.EndTime
from WorkingDays wd
join WorkingSchedule ws on ws.Id = case datename(weekday, getdate())
when 'Monday' then ws.Monday
when 'Tuesday' then ws.Tuesday
when 'Wednesday' then ws.Wednesday
when 'Thursday' then ws.Thursday
when 'Friday' then ws.Friday
else 0
end
Hint: datename(weekday, getdate()) returns you the weekday name in your current locale! This might be better:
select wd.Employee, ws.StartTime, ws.EndTime
from WorkingDays wd
join WorkingSchedule ws on ws.Id = case datepart(weekday, getdate())
when 1 then wd.Monday
when 2 then wd.Tuesday
when 3 then wd.Wednesday
when 4 then wd.Thursday
when 5 then wd.Friday
else 0
end
But then you have to check which day is the first of week (0, 1), depending on your settings.
I am wanting to display results where the date stored in the table is not between the dates specified in the query.
if last_Tran_date != from_date
and if last_Tran_date != to_date
therefore there are no transaction.
so i would like to display the result.
example
last transaction date
1-JAN-16
2-JAN-16
8-FEB-16
10-MAC-16
PERIOD TO QUERY : (FROM 2-JAN-16 TO 8-FEB-16)
IF last transaction date not between the period query,
then display the result.
SELECT L.TDR_CODE||' - '||T.TDR_NAME TDR_CODE,L.CLIENT_NO,L.CLIENT_TYPE
,L.AMLA_RISK,L.ACCT_TYPE,L.CLIENT_NAME,L.DATE_CREATED,L.ANNUAL_INCOME
,L.NET_WORTH,L.ACCT_GROUP,L.PAIDUP_CAPITAL,L.SHAREHOLDER_FUND,L.OCCUPATION
,L.LAST_TRAN_DATE,K.CHQ_BANK,K.CHQ_NO,K.CHQ_AMT,decode(K.category,'3'
, decode(nvl(K.cancel_flag,'N'),'N',1,-2) ,0) chqamt_cash
FROM BOS_M_CLIENT L
, BOS_M_TRADER T,BOS_M_LEDGER_REC K
WHERE ((K.CHQ_NO IS NOT NULL AND K.CHQ_AMT>50000)
OR (K.CATEGORY='3' AND K.CHQ_AMT>10000))
AND L.PROHIBIT_TRADE<>'C'
AND L.CLIENT_NO = K.CLIENT_NO(+)
AND L.amla_risk='High'
AND L.TDR_CODE=T.TDR_CODE
AND L.tdr_code>=:P_FROM_TDR_CODE
AND L.tdr_code<=:P_TO_TDR_CODE
AND K.TRAN_DATE>=:P_FROM_DATE
AND K.TRAN_DATE<=:P_TO_DATE
AND L.LAST_TRAN_DATE NOT BETWEEN :P_FROM_DATE AND :P_TO_DATE
If there are "gaps" in your data then SQL will NOT display the missing data UNLESS you do something extra. e.g.
trans_date
2016-01-01
-- there is a "gap" here, there are "missing dates"
2016-01-12
What you now need is a set of rows for each date from 1-Jan to 12-Jan. There are many way to get those rows, below I have used "connect by leve;" which is an Oracle specific technique and demonstrates how we can find "missing dates":
CREATE TABLE YOURTABLE
(TRANS_DATE date);
INSERT INTO YOURTABLE (TRANS_DATE) VALUES (to_date('2016-01-01','yyyy-mm-dd'));
INSERT INTO YOURTABLE (TRANS_DATE) VALUES (to_date('2016-01-12','yyyy-mm-dd'));
2 rows affected
SELECT
c.cal_date, t.*
FROM (
SELECT to_date('2016-01-01','yyyy-mm-dd') + ROWNUM - 1 as cal_date
FROM (
SELECT ROWNUM FROM (
SELECT 1 FROM DUAL
CONNECT BY LEVEL <= (to_date('2016-01-12','yyyy-mm-dd') - (to_date('2016-01-01','yyyy-mm-dd')-1))
)
)
) c
LEFT JOIN yourtable t ON c.cal_date = t.trans_date
WHERE t.trans_date IS NOT NULL
ORDER BY c.cal_date
;
CAL_DATE | TRANS_DATE
:-------- | :---------
01-JAN-16 | 01-JAN-16
12-JAN-16 | 12-JAN-16
SELECT
c.cal_date, t.*
FROM (
SELECT to_date('2016-01-01','yyyy-mm-dd') + ROWNUM - 1 as cal_date
FROM (
SELECT ROWNUM FROM (
SELECT 1 FROM DUAL
CONNECT BY LEVEL <= (to_date('2016-01-12','yyyy-mm-dd') - (to_date('2016-01-01','yyyy-mm-dd')-1))
)
)
) c
LEFT JOIN yourtable t ON c.cal_date = t.trans_date
WHERE t.trans_date IS NULL
ORDER BY c.cal_date
;
CAL_DATE | TRANS_DATE
:-------- | :---------
02-JAN-16 | null
03-JAN-16 | null
04-JAN-16 | null
05-JAN-16 | null
06-JAN-16 | null
07-JAN-16 | null
08-JAN-16 | null
09-JAN-16 | null
10-JAN-16 | null
11-JAN-16 | null
dbfiddle here