I have below information in table and want to retrive the count if difference between two dates is >= 1.
Id testdate exdate
1 20120502 20120501 --> This should included, because diff is 1
2 20120601 20120601 --> This should not included, because diff is 0
3 20120704 20120703 --> This should included, because diff is 1
4 20120803 20120802 --> This should included, because diff is 1
Based on the above data, my select count should return 3.
I am trying the following, but it's not giving any results:
select count(to_char(testdate,'YYYYMMDD')-to_char(exdate,'YYYYMMDD')) from test ;
select count(*)
from my_table
where testdate <> exdate
You really should convert those to a date data-type though... it saves a lot of problems in the long run.
Your query will give you results. It will return 4. It gives you results because as long as the result of testdate - exdate is not null it will return a value for that row.
However, as you're not using dates Oracle will most probably convert those to numbers, which won't help for date comparisons should you do that in the future.
20120901 - 20120831 = 70 -- not 1
Okay, from your comment:
Working with ,if i use down voteaccept select count(*) from test where
to_char((testdate,'YYYYMMDD') - to_char(exdate,'YYYYMMDD')) >= 1; .But
count is one of the column.how to retrive above select statement as
one of the column
you're trying something completely different.
Your dates are actually dates; it's helpful to post this. You're looking for an analytic function, specifically count().
select a.*, count(*) over ( partition by 1 ) as ct
from my_table a
where trunc(exdate) <> trunc(testdate)
Note the trunc function, which, without additional parameters will remove the time portion of the date this enabling a direct comparison without resorting to converting the date to a character.
select count(*)
from test
where to_date(testdate,'YYYYMMDD') - to_date(exdate,'YYYYMMDD') >= 1;
or
select count(*)
from test
where to_date(testdate,'YYYYMMDD') <> to_date(exdate,'YYYYMMDD');
Looking at testdate and exdate it looks more like the columns are VARCHAR type so you would require apropriate date conversion.
In Oracle if the type is date you can calculate with them. 1 equal 1 day. 1/24 equals 1 hour.
Your case is rather easy because you could even compare the strings.
SELECT count(*)
FROM test
WHERE testdate <> exdate
But it sounds like you want to be able to be variable, so you rather convert them to a date and then you can do
SELECT count(*)
FROM test
WHERE to_date(testdate,'YYYYMMDD')-to_date(exdate,'YYYYMMDD') >= 1
I am not sure what you want if testdate minus exdate is -1 or more because the exdate is after testdate. Then you can work with ABS
SELECT count(*)
FROM test
WHERE ABS(to_date(testdate,'YYYYMMDD')-to_date(exdate,'YYYYMMDD')) >= 1
Related
I am trying to use columns that I created in this query to create another column.
Let me first my messy query. The query looks like this:
SELECT tb.team, tb.player, tb.type, tb.date, ToChar(Current Date-1, 'DD-MON-YY') as yesterday,
CASE WHEN to_date(tb.date) = yesterday then 1 else 0 end dateindicator,
FROM (
COUNT DISTINCT(*)
FROM TABLE_A, dual
where dateindicator = 1
Group by tb.team
)
What I am trying to do here is:
creating a column with "Yesterday's date"
Using the "Yesterday" column to create another column called dateindicator indicating each row is yesterday's data or not.
then using that dateindicator, I want to count the distinct number of player for each team that has 1 of the dateindicator column.
But I am getting the "invalid identifier" error. I am new to this oracle SQL, and trying to learn here.
You cannot use an Alias in your Select statement.
see here: SQL: Alias Column Name for Use in CASE Statement
you need to use the full toChar(.. in the CASE WHEN.
Also:
Your WHERE-condition (Line 5) doesnt belong there.. it should be:
SELECT DISTINCT .>. FROM .>. WHERE. you have to specify the table first. then you can filter it with where.
If I follow your explanation correctly: for each team, you want to count the number of players whose date column is yesterday.
If so, you can just filter and aggregate:
select team, count(*) as cnt
from mytable
where mydate >= trunc(sysdate) - 1 and mydate < trunc(sysdate)
group by team
This assumes that the dates are stored in column mydate, that is of date datatype.
I am unsure what you mean by counting distinct players; presumably, a given player appears just once per team, so I used count(*). If you really need to, you can change that to count(distinct player).
Finally: if you want to allow teams where no player matches, you can move the filtering logic within the aggregate function:
select team,
sum(case when mydate >= trunc(sysdate) - 1 and mydate < trunc(sysdate) then 1 else 0 end) as cnt
from mytable
group by team
So basically I've got a query where I want to filter using a date, however that date may change depending on what datas in the system.
If there's no records with a date of >='X', I want to use >='Y' instead
Currently I've got something like the following mess (Pseudocoded down to avoid using actual table names and such)
With a as (SELECT
count(column_id) as num
FROM tableA
WHERE ADate >= getdate() - 8)
,
b as (SELECT
case when num = '0' then getdate() - 15 else getdate() - 8 end as DateToUseInQuery
from A)
SELECT *
FROM tableB
Bunch of joins to other tables
WHERE BDate >= DateToUseInQuery
The general idea being is if there's no records for the week beforehand, use 2 weeks beforehand
I tried using a query within the where clause like:
WHERE BDate >= (SELECT DateToUseInQuery FROM b)
But the query ran for 11 minutes before I stopped it (Up from about 18 seconds before I tried to put this extra bit in)
I've been thinking about trying to set a variable as the date, but I can't do it in a CTE, and when I do it after, it breaks everything else.
So basically:
Is there an easier way to do this than the cack-handed way I'm trying?
If my way is fine, how can I pass that date properly into the WHERE clause?
You could try something like this. I am using a nested select and case statement to determine the number of days.
There may be a prettier way, but this works.
SELECT COUNT(column_id) AS num FROM TableA
WHERE ADate >=
DATEADD(Day,
(SELECT
CASE
WHEN EXISTS(
SELECT 1 FROM TableA
WHERE ADate >= DATEADD(Day,-8,GETDATE()))
THEN -8
ELSE -15
END AS 'dt')
,GETDATE());
I would like to get one row with the maximum date. I cannot use group by as I need to retrieve all data in that row.
I have this:
ID Date Country
1 05/05/2019 US
2 05/06/2019 UK
I want to get this:
ID Date Country
2 05/06/2019 UK
I've tried the below but it didn't work for me
select TOP 1 ID, Date, country
from table
order by Date desc
I don't believe you. Here is a db<>fiddle that shows three different interpretations of the date in your sample data:
as a string
as mm/dd/yyyy
as dd/mm/yyyy
All three of them produce the same result.
I suspect that your actual data is more complicated and you have oversimplified the example for the question. Further, my suspicion is that the date column is stored as a string rather than a date.
As a string, you might have some hidden characters that affect the sorting (such as leading spaces).
If this is the case, fix the data type and your code will work.
This depends on what DB system you are using.
In Microsoft SQL server, you can use row_number() function:
select top 1 *
from facts
order by ROW_NUMBER() over (order by dateKey)
Can you try this?
select Top 1 ID,Date, country from table where date = max(date)
First set the DATE or DATETIME Datatype in your [Date] column
then try this code:
SELECT TOP 1 ID, [Date] , country FROM TableName ORDER BY Date DESC
SELECT ID,Date,Country from TableName Where Date = MAX(Date) AND Rownum <= 1
While fetching count from table by using following query
Select count(*)
from tab
where tdate = '17-05-19' ---> output 0
or
Select count(*)
from tab
where trunc(tdate) = '17-05-19' ---->output 0
If I use:
Select count(*)
from tab
where tdate >sysdate - 1 ---> it returns some count(yesterday+some of the today txn)
But here I want only yesterday txn whenever I fire this query.
But here I want only yesterday txn whenever I fire this query.
You may use this.
Select count (*) from tab where
tdate >= TRUNC(SYSDATE) - 1
AND tdate < TRUNC(SYSDATE)
The advantage of this over using TRUNC on the date column is that it will utilize an index if it exists over tdate
If you tried by using
Select count(*) from tab where trunc(tdate) = date'2019-05-17'
(or, you could use
Select count(*) from tab where to_char(tdate,'dd-mm-yy') = '17-05-19' by formatting through to_char function
or, you could use
Select count(*) from tab where trunc(tdate) = trunc(sysdate)-1 to get only the data for the day before
)
you'd get some results provided you have data for the date 17th May.
So, you need to provide a formatting for your literal as date'2019-05-17'(known as date literal) especially for Oracle DB, it might be used as '2019-05-17' without date part in MySQL as an example.
Btw, trunc function is used to extract the date portion, and remove the time part of a date type column value.
If your table is populated with huge data, therefore performance may matter, then you can even create functional index on trunc(tdate).
Demo
I have a table dbo.X with DateTime column Y which may have hundreds of records.
My Stored Procedure has parameter #CurrentDate, I want to find out the date in the column Y in above table dbo.X which is less than and closest to #CurrentDate.
How to find it?
The where clause will match all rows with date less than #CurrentDate and, since they are ordered descendantly, the TOP 1 will be the closest date to the current date.
SELECT TOP 1 *
FROM x
WHERE x.date < #CurrentDate
ORDER BY x.date DESC
Use DateDiff and order your result by how many days or seconds are between that date and what the Input was
Something like this
select top 1 rowId, dateCol, datediff(second, #CurrentDate, dateCol) as SecondsBetweenDates
from myTable
where dateCol < #currentDate
order by datediff(second, #CurrentDate, dateCol)
I have a better solution for this problem i think.
I will show a few images to support and explain the final solution.
Background
In my solution I have a table of FX Rates. These represent market rates for different currencies. However, our service provider has had a problem with the rate feed and as such some rates have zero values. I want to fill the missing data with rates for that same currency that as closest in time to the missing rate. Basically I want to get the RateId for the nearest non zero rate which I will then substitute. (This is not shown here in my example.)
1) So to start off lets identify the missing rates information:
Query showing my missing rates i.e. have a rate value of zero
2) Next lets identify rates that are not missing.
Query showing rates that are not missing
3) This query is where the magic happens. I have made an assumption here which can be removed but was added to improve the efficiency/performance of the query. The assumption on line 26 is that I expect to find a substitute transaction on the same day as that of the missing / zero transaction.
The magic happens is line 23: The Row_Number function adds an auto number starting at 1 for the shortest time difference between the missing and non missing transaction. The next closest transaction has a rownum of 2 etc.
Please note that in line 25 I must join the currencies so that I do not mismatch the currency types. That is I don't want to substitute a AUD currency with CHF values. I want the closest matching currencies.
Combining the two data sets with a row_number to identify nearest transaction
4) Finally, lets get data where the RowNum is 1
The final query
The query full query is as follows;
; with cte_zero_rates as
(
Select *
from fxrates
where (spot_exp = 0 or spot_exp = 0)
),
cte_non_zero_rates as
(
Select *
from fxrates
where (spot_exp > 0 and spot_exp > 0)
)
,cte_Nearest_Transaction as
(
select z.FXRatesID as Zero_FXRatesID
,z.importDate as Zero_importDate
,z.currency as Zero_Currency
,nz.currency as NonZero_Currency
,nz.FXRatesID as NonZero_FXRatesID
,nz.spot_imp
,nz.importDate as NonZero_importDate
,DATEDIFF(ss, z.importDate, nz.importDate) as TimeDifferece
,ROW_NUMBER() Over(partition by z.FXRatesID order by abs(DATEDIFF(ss, z.importDate, nz.importDate)) asc) as RowNum
from cte_zero_rates z
left join cte_non_zero_rates nz on nz.currency = z.currency
and cast(nz.importDate as date) = cast(z.importDate as date)
--order by z.currency desc, z.importDate desc
)
select n.Zero_FXRatesID
,n.Zero_Currency
,n.Zero_importDate
,n.NonZero_importDate
,DATEDIFF(s, n.NonZero_importDate,n.Zero_importDate) as Delay_In_Seconds
,n.NonZero_Currency
,n.NonZero_FXRatesID
from cte_Nearest_Transaction n
where n.RowNum = 1
and n.NonZero_FXRatesID is not null
order by n.Zero_Currency, n.NonZero_importDate