Showing posts with label PL/SQL. Show all posts
Showing posts with label PL/SQL. Show all posts

06 March 2010

💎⌛SQL Reloaded: Oracle vs. SQL Server (Running Totals)

One of the SQL Server 2005+ functionalities I kind of ignored in the past years is the CROSS APPLY operator that allows returning rows from a table-valued function of a correlated query, allowing for example to calculate running totals, cumulated amounts from the previous records and the current record in a data set. Before the introduction of CROSS APPLY operator such a query could be written as follows:
 
-- SQL Server/Oracle: Running Totals (simple join)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, SUM(POT.SubTotal) RunningSubTotal
, SUM(POT.TaxAmt) RunningTaxAmt
, SUM(POT.Freight) RunningFreight
FROM Purchasing.PurchaseOrderHeader POH
    LEFT JOIN Purchasing.PurchaseOrderHeader POT
        ON POH.PurchaseOrderID >= POT.PurchaseOrderID
GROUP BY POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
ORDER BY POH.PurchaseOrderID

Each of the attributes not aggregated needs to be added in the GROUP BY clause, fact that could be quite a hit from a performance standpoint. If only one aggregated value is needed then the query could be rewritten, the cumulated value being calculated in a correlated query:
 
-- SQL Server/Oracle: Running Totals (correlated query)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, ( -- calculating aggregated running total
    SELECT SUM(POT.SubTotal)
    FROM Purchasing.PurchaseOrderHeader POT
    WHERE POH.PurchaseOrderID >= POT.PurchaseOrderID
) RunningSubTotal
FROM Purchasing.PurchaseOrderHeader POH


   In theory could be added a correlated query for each aggregated value, though this means an additional table scan for each attribute, not the best approach for sure. The CROSS APPLY operator simplifies such queries allowing to do multiple calculations within the same correlated query:


-- SQL Server 2005: Running Totals (CROSS APPLY)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, DAT.RunningSubTotal
, DAT.RunningTaxAmt
, DAT.RunningFreight
FROM Purchasing.PurchaseOrderHeader POH
    CROSS APPLY (-- calculating aggregated running total
        SELECT SUM(POT.SubTotal) RunningSubTotal
        , SUM(POT.TaxAmt) RunningTaxAmt
        , SUM(POT.Freight) RunningFreight
        FROM Purchasing.PurchaseOrderHeader POT
        WHERE POH.PurchaseOrderID >= POT.PurchaseOrderID) DAT
ORDER BY POH.PurchaseOrderID

The advantage of  the first two approaches is that they work also in Oracle, though also Oracle comes with an alternative using analytic aggregate functions:
 
-- Oracle: Running Totals (analytic aggregate function)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, SUM(POH.SubTotal) OVER (ORDER BY POH.PurchaseOrderID ) RunningSubTotal
, SUM(POH.TaxAmt) OVER (ORDER BY POH.PurchaseOrderID) RunningTaxAmt
, SUM(POH.Freight) OVER (ORDER BY POH.PurchaseOrderID) RunningFreight
FROM PurchaseOrderHeader POH
ORDER BY POH.PurchaseOrderID


Notes:
1.  The calculation of running totals requires the existence of a unique identifier for each record that can be sorted, in this case being used the PurchaseOrderID attribute, though typically could be used the creation date (timestamp) when the record was modified, alone or in combination with other attributes; when used in combination then maybe it makes sense to add a running number in order to apply the above techniques.  In Oracle the use of analytic aggregate functions offers less headaches from this perspective, being enough to specify the unique combination of attributes in the ORDER BY clause in the body of the function.
2.  SQL Server 2005’s window aggregate functions, even if similar with Oracle’s analytic aggregate functions, unlike the window ranking functions they don’t allow the ORDER BY clause in the functions, therefore running totals can’t be modeled in SQL Server with the help of window aggregate functions.
3. In case the running totals are based on other table, then might be needed to use the OUTER APPLY operator, returning thus also the records for which not match is retrieved in the outer dataset.

   Sometimes might be requested to create running totals within a given partition, for example by Vendor, in this case all is needed to do is to add the VendorID in the WHERE or JOIN constraint, while in Oracle’s analytic functions case in the PARTITION BY clause. Here are the three queries modified:
 
-- SQL Server/Oracle: Running Totals per Vendor (simple join)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, SUM(POT.SubTotal) RunningSubTotal
, SUM(POT.TaxAmt) RunningTaxAmt
, SUM(POT.Freight) RunningFreight
FROM Purchasing.PurchaseOrderHeader POH
    LEFT JOIN Purchasing.PurchaseOrderHeader POT
        ON POH.VendorID = POT.VendorID
     AND POH.PurchaseOrderID >= POT.PurchaseOrderID
GROUP BY POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
ORDER BY POH.VendorID
, POH.PurchaseOrderID

-- SQL Server 2005: Running Totals per Vendor (CROSS APPLY)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, DAT.RunningSubTotal
, DAT.RunningTaxAmt
, DAT.RunningFreight
FROM Purchasing.PurchaseOrderHeader POH
     CROSS APPLY ( -- calculating aggregated running total
        SELECT SUM(POT.SubTotal) RunningSubTotal
        , SUM(POT.TaxAmt) RunningTaxAmt
        , SUM(POT.Freight) RunningFreight
        FROM Purchasing.PurchaseOrderHeader POT
        WHERE POH.VendorID = POT.VendorID
          AND POH.PurchaseOrderID >= POT.PurchaseOrderID) DAT
ORDER BY POH.VendorID
, POH.PurchaseOrderID

-- Oracle: Running Totals per Vendor (analytic aggregate function)
SELECT POH.PurchaseOrderID
, POH.VendorID
, POH.OrderDate
, POH.SubTotal
, POH.TaxAmt
, POH.Freight
, SUM(POH.SubTotal) OVER (PARTITION BY POH.VendorID ORDER BY POH.PurchaseOrderID ) RunningSubTotal
, SUM(POH.TaxAmt) OVER (PARTITION BY POH.VendorID ORDER BY POH.PurchaseOrderID) RunningTaxAmt
, SUM(POH.Freight) OVER (PARTITION BY POH.VendorID ORDER BY POH.PurchaseOrderID) RunningFreight
FROM PurchaseOrderHeader POH
ORDER BY POH.VendorID
, POH.PurchaseOrderID

Happy coding!

15 February 2010

💎⌛SQL Reloaded: Oracle vs. SQL Server (Handling Missing Dates)

    What do we do with missing values? How do they influence the data analysis? Two questions each developer should ask users when creating/modifying a report. In general for numbers things are pretty simple, just replace the NULL values with a 0, this impacting the report minimally. With Dates is a little more complicated because maybe is needed to remove records having a certain date null, replace it with another date representing a certain event or maybe with the current date.

    As NULLIF, COALESCE and CASE functions are available in both systems, they could be used in particular to handle missing dates or other type of data types, especially when intended to make code portable between the two platforms. In addition SQL Server provides the IsNull function, the equivalent in Oracle being the NVL, extended by NVL2. Oracle provides also an equivalent for simple CASE function, namely the DECODE function. Here are some examples based on Product table from AdventureWorks database: 
  
-- SQL Server NULL handling 
SELECT ProductID, SellStartDate, SellEndDate, DiscontinuedDate, GetDate() CurrentDate 
, IsNull(SellEndDate, GetDate()) Example1 
, COALESCE(SellEndDate, GetDate()) Example3 
, COALESCE(DiscontinuedDate, SellEndDate, GetDate()) Example4 
, CASE 
     WHEN SellEndDate IS NULL THEN GetDate() 
     ELSE SellEndDate 
END Example6 
, NullIf(SellEndDate, SellStartDate) Example7 
FROM Production.Product 

-- Oracle NULL handling 
SELECT PRODUCTID, SELLSTARTDATE, SELLENDDATE, DISCONTINUEDDATE, SYSDATE 
, NVL(SELLENDDATE, SYSDATE) EXAMPLE1 
, NVL2(DISCONTINUEDDATE, SELLENDDATE, SYSDATE) EXAMPLE2 
, COALESCE(SELLENDDATE, SYSDATE) EXAMPLE3 
, COALESCE(DISCONTINUEDDATE, SELLENDDATE, SYSDATE) EXAMPLE4 
, DECODE(SELLENDDATE, NULL, SYSDATE, SELLENDDATE) EXAMPLE5 
, CASE 
    WHEN SELLENDDATE IS NULL THEN SYSDATE 
    ELSE SELLENDDATE 
END EXAMPLE6 
, NULLIF(SELLENDDATE, SELLSTARTDATE) EXAMPLE7 
FROM PRODUCT 

      The simple CASE function can’t be use to check for NULL values unless the NULL value is implied within the ELSE branch, and this because the IS NULL clause needs to be used for checking whether a value is missing. An exception from this rule seems to be the DECODE function, as can be seen from 5th example from the Oracle-based query.

     Aggregated functions ignore NULL values in both systems, therefore any of the above techniques could be used to handle the missing values if other behavior is expected. The selection of the date used in case the target date is missing depends on the requirements, usually is used the current date when the reports focus on today’s status, while for the calculation of lead/cycle times is preferred to use the closest date to the target date. 

-- SQL Server: handling nulls in aggregations 
SELECT AVG(DateDiff(d, SELLSTARTDATE, IsNull(SELLENDDATE, GETDATE()))) -- handling null values 
, AVG(DateDiff(d,SELLSTARTDATE, SELLENDDATE)) -- ignoring null values 
FROM Production.Product 

-- Oracle: handling nulls in aggregations 
SELECT AVG(TRUNC(NVL(SELLENDDATE, SYSDATE)) - TRUNC(SELLSTARTDATE)) -- handling null values 
, AVG(TRUNC(SELLENDDATE) - TRUNC(SELLSTARTDATE)) -- ignoring null values 
FROM PRODUCT 

    Another scenario when missing date values need to be handled is in joins, often for such cases a missing value denoting that the record is still active, like in the below example: 

-- SQL Server: getting the Start Date for current List Price 
SELECT ITM.ProductID 
, ITM.ProductNumber 
, ITM.ListPrice 
, PPH.StartDate 
FROM Production.Product ITM 
JOIN Production.ProductListPriceHistory PPH 
ON ITM.ProductID = PPH.ProductID 
AND PPH.EndDate IS NULL 
   
   The above query could be rewritten also in the following form that can be useful to get the record in use during a certain event:

-- SQL Server: getting the List Price when the product was last time modified 
SELECT ITM.ProductID 
, ITM.ProductNumber 
, PPH.ListPrice 
, PPH.StartDate 
, PPH.EndDate 
, ITM.ModifiedDate 
FROM Production.Product ITM 
JOIN Production.ProductListPriceHistory PPH 
ON ITM.ProductID = PPH.ProductID 
AND DateDiff(d, ITM.ModifiedDate, IsNull(PPH.EndDate, GETDATE()))>=0 
AND DateDiff(d, PPH.StartDate, ITM.ModifiedDate)>=0 

    In Oracle special attention must be given to LEAST and GREATEST functions that consider the smallest/greatest values from a list of attributes because if one of the vales is NULL then function’s value is NULL too, therefore if one of the attributes could take NULL values then it should be replaced with the values from a NOT NULL attribute used in the functions, like in 3rd and 4th example from the below example, this change having no impact on functions’ output.

-- Oracle Greatest/Least example 
SELECT PRODUCTID, SELLSTARTDATE, SELLENDDATE, SYSDATE 
, GREATEST(SELLSTARTDATE, SELLENDDATE, SYSDATE) EXAMPLE1 
, LEAST(SELLSTARTDATE, SELLENDDATE, SYSDATE) EXAMPLE2 
, GREATEST(SELLSTARTDATE, NVL(SELLENDDATE, SYSDATE), SYSDATE) EXAMPLE3 
, LEAST(SELLSTARTDATE, NVL(SELLENDDATE, SYSDATE), SYSDATE) EXAMPLE4 
FROM PRODUCT

💎SQL Reloaded: Oracle vs. SQL Server (Date Conversion)

    During data conversions, data migrations or also during simple processing of data is requested to format dates to a given format, extract a given time unit or convert a string to a date data type. Even if Oracle and SQL Server provides several functions for this purpose, there are small techniques that could help make things easier.

    In SQL Server the DatePart and DateName functions can be used to extract the various type of time units, the first function returning always an integer, while the second returns a character string, allowing thus to get the name of the current month or of the current day of the week, otherwise the output being quite similar. 
 
-- SQL Server DatePart 
SELECT GETDATE() CurrentDate 
, DatePart(ss, GETDATE()) SecondPart 
, DatePart(mi, GETDATE()) MinutePart 
, DatePart(hh, GETDATE()) MinutePart 
, DatePart(d, GETDATE()) DayPart 
, DatePart(wk, GETDATE()) WeekPart 
, DatePart(mm, GETDATE()) MonthPart 
, DatePart(q, GETDATE()) QuaterPart 
, DatePart(yyyy, GETDATE()) YearPart  
-- SQL Server DateName 
SELECT GETDATE() CurrentDate 
, DateName(ss, GETDATE()) SecondPart 
, DateName(mi, GETDATE()) MinutePart 
, DateName(hh, GETDATE()) MinutePart 
, DateName(d, GETDATE()) DayPart 
, DateName(wk, GETDATE()) WeekPart 
, DateName(mm, GETDATE()) MonthPart 
, DateName(q, GETDATE()) QuaterPart 
, DateName(yyyy, GETDATE()) YearPart , DateName(mm, GETDATE()) MonthName 
, DateName(dd, GETDATE()) DayName 

    SQL Server provides three quite useful functions for getting the Day, Month or Year of a given date: 
 
-- SQL Server alternative functions 
SELECT DAY(GetDate()) DayPart 
, MONTH(GetDate()) MonthPart , YEAR(GetDate()) YearPar 

    Oracle provides a more flexible alternative of DateName function, respectively the TO_CHAR function, that allow not only the extraction of the different time units, but also the conversion of a date to a specified format. 
  
-- Oracle Date parts 
SELECT to_char(SYSDATE, 'dd-mon-yyyy hh24:mi:ss') CurrentDate 
, to_char(SYSDATE, 'SS') SecondPart 
, to_char(SYSDATE, 'MI') MinutePart 
, to_char(SYSDATE, 'HH') HourPart 
, to_char(SYSDATE, 'DD') DayPart 
, to_char(SYSDATE, 'IW') WeekPart 
, to_char(SYSDATE, 'MM') MonthPart 
, to_char(SYSDATE, 'QQ') QuarterPart 
, to_char(SYSDATE, 'YYYY') YearPart 
, to_char(SYSDATE, 'MONTH') MonthName 
, to_char(SYSDATE, 'DAY') DayName 
FROM DUAL 
-- Oracle Date formatting 
SELECT to_char(SYSDATE, 'yyyy-mm-dd hh24:mi:ss') CurrentDate 
, to_char(SYSDATE, 'Mon dd yyyy hh24:mi') USDateFormat 
, to_char(SYSDATE, 'mm/dd/yyyy') ANSIDateFormat 
, to_char(SYSDATE, 'yyyy.mm.dd') BritishDateFormat 
, to_char(SYSDATE, 'dd/mm/yyyy') GermanDateFormat 
, to_char(SYSDATE, 'dd-mm-yyyy') ItalianDateFormat 
, to_char(SYSDATE, 'yyyy/mm/dd') JapanDateFormat 
, to_char(SYSDATE, 'yyyymmdd') ISODateFormat 
, to_char(SYSDATE, 'dd Mon yyyy hh24:mi:ss') EuropeDateFormat 
, to_char(SYSDATE, 'yyyy-mm-dd hh24:mi:ss') ODBCDateFormat 
, Replace(to_char(SYSDATE, 'yyyy-mm-dd hh24:mi:ss'), ' ', 'T') ISO8601DateFormat 
FROM DUAL 7


Date Oracle fomatting
    Even if there are more plausible combinations, the above examples could be used as a starting point, they being chosen to match the similar functionality provided by SQL Server using the CONVERT function and styles. 
-- SQL Server date formatting 
SELECT GETDATE() CurrentDate 
, CONVERT(varchar(20), GETDATE(), 100) USDateFormat 
, CONVERT(varchar(20), GETDATE(), 101) ANSIDateFormat 
, CONVERT(varchar(20), GETDATE(), 102) BritishDateFormat 
, CONVERT(varchar(20), GETDATE(), 103) GermanDateFormat 
, CONVERT(varchar(20), GETDATE(), 105) ItalianDateFormat 
, CONVERT(varchar(20), GETDATE(), 111) JapanDateFormat 
, CONVERT(varchar(20), GETDATE(), 112) ISODateFormat 
, CONVERT(varchar(20), GETDATE(), 113) EuropeDateFormat 
, CONVERT(varchar(20), GETDATE(), 120) ODBCDateFormat 
, CONVERT(varchar(20), GETDATE(), 126) ISO8601DateFormat 
 
Date SQL Server formatting
    The use of CONVERT function with styles is not the best approach though it saves the day. When the same formatting is used in multiple objects it makes sense to encapsulate the used date conversions in a function, making thus easier their use and their maintenance in case of changes of formatting. 
 
CREATE FUNCTION dbo.GetDateAsString( @date datetime) 
RETURNS varchar(10) 
AS 
BEGIN 
    RETURN CONVERT(varchar(10), @date, 103) 
END 
 
   The inverse problem is the conversion of a string to a date, Oracle providing the TO_DATE, CAST, TO_TIMESTAMP and  TO_TIMESTAMP_TZ functions for this purpose, the first two functions being the most used. 
--Oracle String to Date Conversion 
SELECT TO_DATE('25-03-2009', 'DD-MM-YYYY') 
, TO_DATE('25-03-2009 18:30:23', 'DD-MM-YYYY HH24:MI:SS') 
, Cast('25-MAR-2009' as Date) 
FROM DUAL    

Excepting the CONVERT function mentioned above, SQL Server provides a CAST function too, both allowing the conversion of strings to date. 
 
SELECT CAST('2009-03-25' as date) 
, CONVERT(date, '2009-03-25') 


  When saving dates into text attributes in SQL Server it should be targeted to use the ISO format which is independent of the format set by DATEFORMAT, otherwise, in case the format of the date stored is known, the string could be translated to the ISO format like in the below function: 
 
--SQL Server: DD/MM/YYYY  String to Date function 
CREATE 
FUNCTION dbo.GetStringDate( 
@date varchar(10)) 
RETURNS datetime 
AS 
BEGIN 
     RETURN Cast(Right(@date, 4) + '/' + Substring(@date, 4,2) + '/' + Left(@date, 2) as datetime) 
END 
SELECT 
dbo.GetStringDate('25/09/2009') 


    Other approach I found quite useful in several cases is based on the VBScript DateSerial function that allows the creation of a date from its constituents:

-- SQL Server: DateSerial 
CREATE FUNCTION dbo.DateSerial( 
@year int 
, @month smallint , 
@day smallint) 
RETURNS 
date 
AS 
BEGIN 
RETURN (Cast(@year as varchar(4)) + '-' + Cast(@month as varchar(2)) + '-' + Cast(@day as varchar(2))) 
END 
SELECT 
dbo.DateSerial(2009,10,24) 
-- SQL Server: DateTimeSerial 
CREATE FUNCTION dbo.DateTimeSerial( 
@year int 
, @month smallint 
, @day smallint 
, @hour smallint 
, @minute smallint 
, @second smallint) 
RETURNS 
datetime AS 
BEGIN 
RETURN (Cast(@year as varchar(4)) + '-' + Cast(@month as varchar(2)) + '-' + Cast(@day as varchar(2)) 
+ ' ' + Cast(@hour as varchar(2)) + ':' + Cast(@minute as varchar(2)) + ':' + Cast(@second as varchar(2))) 
END 

    Given TO_DATE function’s flexibility none of the three above functions - GetStringDate, DateSerial and DateTimeSerial, are really needed in Oracle.

14 February 2010

💎⌛SQL Reloaded: Oracle vs. SQL Server (Date Validation)

When loading data into a table or even when performing date operations with text attributes that store date values, it’s mandatory to check whether the values represent a valid date, otherwise an error will be thrown, fact that could have negative impact on your logic. SQL Server provides the IsDate function for this purpose, the function returning a 1 if the value is a date, and 0 otherwise, though, as always, there is a catch or two. First of all the valid date refers only to the date format expected/supported by the database, for example SQL Server supports the ISO 8601 formats (YYYYMMDD, YYYY-MM-DD, YYYY-MM or YYYY) together with (independent of) the date format set using the DATEFORMAT or SET LANGUAGE, thus based on the existing settings ‘25-10-2009’ could be a valid date while ‘10-25-2009’ is not even if the interpretation of the respective value raises no doubt. In addition to shorter formats like YYYY-MM or YYYY, the date formats could include leading spaces (e.g. ‘ 2009-10- 25’) fact that could create problems when using the data outside SQL Server, therefore it’s a good idea to check whether the date is strictly in the requested format and eventually convert the various date types to a single supported format. 
 
Here are several examples with the IsDate function: 
 
-- SQL Server: IsDate function examples 
SELECT IsDate('20091025') Example1 --(ISO 8601) 
, IsDate('2009-10-25') Example2 --(ISO 8601) 
, IsDate('2009-10') Example3 --(ISO 8601) 
, IsDate('2009') Example4 -- (ISO 8601) 
, IsDate('25-10-2009') Example5 
, IsDate('10.25-2009') Example6 
, IsDate('10-25-2009') Example7 
, IsDate(' 10-25- 2009') Example8 
, IsDate('25-OCT-2009') Example9 
, IsDate(NULL) Example10 

Date IsDate SQL Server
  
There are two interesting points: the IsDate doesn’t recognize the ‘2009-10’ value as date even if it’s a ISO format, and it recognizes ‘10.25-2009’ as date. A NULL value is not recognized as a valid date, therefore if other behavior is expected the NULL case needs to be handled. 
 
Oracle doesn’t provide a similar functionality like the IsDate function existing in Oracle, though something could be done in this direction – create a function that attempts the conversion to a date and return a 0 in case an error is caught, a 1 otherwise. Because Oracle doesn’t support a boolean or bit data type a number was preferred in order to simulate the same behavior as the SQL Server built-in function. Unfortunately if it’s attempted to create a function like the below one, function’s behavior might not be the expected one. 
  
--Oracle: IsDate implementation (limited use) 
CREATE OR REPLACE FUNCTION IsDate ( 
sDate varchar2 ) RETURN 
number IS result_value date; 
BEGIN 
result_value:= Cast(sDate as date);
       RETURN CASE WHEN sDate IS NULL THEN 0 ELSE 1 END; 
       EXCEPTION 
       WHEN OTHERS THEN       

RETURN 0; 
END ; 

 Here are the above examples but this time in Oracle: 

-- Oracle: IsDate function examples 
SELECT IsDate('20091025') Example1 --(ISO 8601) 
, IsDate('2009-10-25') Example2 --(ISO 8601) 
, IsDate('2009-10') Example3 --(ISO 8601) 
, IsDate('2009') Example4 -- (ISO 8601) 
, IsDate('25-10-2009') Example5 
, IsDate('10.25-2009') Example6 
, IsDate('10-25-2009') Example7 
, IsDate(' 10-25- 2009') Example8 
, IsDate('25-OCT-2009') Example9 
, IsDate(NULL) Example10 
FROM DUAL 

Date IsDate Oracle


The above function could be modified to use the TO_DATE function in order to convert explicitly the string value to a date by hard-coding the expected format. On the other side the expected format could be provided as parameter like in the below implementation, gaining thus flexibility.

--Oracle: IsDateFormat implementation 
CREATE OR REPLACE FUNCTION IsDateFormat ( 
   sDate varchar2 
, sFormat varchar2) RETURN 
number IS result_value date; 
BEGIN 
result_value:= to_date(sDate, sFormat);
      RETURN CASE WHEN sDate IS NULL THEN 0 ELSE 1 END; 
      EXCEPTION 
      WHEN OTHERS THEN 
      RETURN 0; 
END ; 

 Here are the same examples as above, this time with the expected format provided explicitly: 
 
-- Oracle: IsDateFormat function examples 
SELECT IsDateFormat('20091025', 'YYYYMMDD') Example1 --(ISO 8601) 
, IsDateFormat('2009-10-25', 'YYYY-MM-DD') Example2 --(ISO 8601) 
, IsDateFormat('2009-10', 'YYYY-MM') Example3 --(ISO 8601) 
, IsDateFormat('2009', 'YYYY') Example4 -- (ISO 8601) 
, IsDateFormat('25-10-2009', 'DD-MM-YYYY') Example5 
, IsDateFormat('10.25-2009', 'MM-DD-YYYY') Example6 
, IsDateFormat('10-25-2009', 'MM-DD-YYYY') Example7 
, IsDateFormat(' 10-25- 2009', 'MM-DD-YYYY') Example8 
, IsDateFormat('25-OCT-2009', 'DD-MON-YYYY') Example9 
, IsDateFormat(NULL, 'YYYY-MM-DD') Example10 
FROM DUAL
 

Date IsDateFormat Oracle  

💎⌛SQL Reloaded: Oracle vs. SQL Server (Date Operations)

Difference between two dates 
 
    Often is needed to calculate the difference in days (or in any other time unit) between two dates, for example in order to determine the cycle/lead time, further analysis being done based on such data. In SQL Server the difference between two dates can be obtained using the DateDiff function which allows specifying the time unit used. Here’s the use for most important time units: 

-- SQL Server Date Difference 
SELECT ProductID, SellStartDate, SellEndDate, GetDate() CurrentDate , 
DATEDIFF(ss, SellStartDate, IsNull(SellEndDate, GetDate())) NumberSeconds , 
DATEDIFF(mi, SellStartDate, IsNull(SellEndDate, GetDate())) NumberMinutes , 
DATEDIFF(hh, SellStartDate, IsNull(SellEndDate, GetDate())) NumberHours , 
DATEDIFF(d, SellStartDate, IsNull(SellEndDate, GetDate())) NumberDays , 
DATEDIFF(wk, SellStartDate, IsNull(SellEndDate, GetDate())) NumberWeeks , 
DATEDIFF(mm, SellStartDate, IsNull(SellEndDate, GetDate())) NumberMonths , 
DATEDIFF(qq, SellStartDate, IsNull(SellEndDate, GetDate())) NumberQuarters , 
DATEDIFF(yyyy, SellStartDate, IsNull(SellEndDate, GetDate())) NumberYears  
FROM Production.Product   

    In Oracle the difference in days could be obtained using the subtraction operator “-”, therefore in order to get the difference in smaller time units the result should be multiplied 24 for hours, 24*60 for minutes, respectively 24*60*60 for seconds, and divided by 7, 30, 3*30 or 365 in order to approximate the difference in weeks, months, quarters, respectively years. 

-- Oracle Date Difference 
SELECT ProductID, SellStartDate, SellEndDate, SYSDATE , 
(NVL(SellEndDate, SYSDATE)- SellStartDate) * 24 * 60 * 60 NumberSeconds , 
(NVL(SellEndDate, SYSDATE)- SellStartDate) * 24 * 60 NumberMinutes , 
(NVL(SellEndDate, SYSDATE)- SellStartDate) * 24 NumberHours , 
NVL(SellEndDate, SYSDATE)- SellStartDate NumberDays , 
(NVL(SellEndDate, SYSDATE)- SellStartDate)/7 NumberWeeks , 
(NVL(SellEndDate, SYSDATE)- SellStartDate)/30 NumberMonths , 
(NVL(SellEndDate, SYSDATE)- SellStartDate)/(30*3) NumberQuarters , 
(NVL(SellEndDate, SYSDATE)- SellStartDate)/365 NumberYears  
FROM SQLServer.PRODUCT     

    Unfortunately the above approach won’t work if you want to use the result with numeric-based functions like Floor, because the difference is an interval and not a numeric value. If you attempt to use directly the Floor function you’ll get the “ORA-00932: inconsistent datatypes: expected NUMBER got INTERVAL DAY TO SECOND”. In order to overcome this issue the dates need to be truncated, the lowest time unit for this being the minutes. Here’s the modified query: 
-- Oracle Date Difference using truncated values 
SELECT ProductID, SellStartDate, SellEndDate, SYSDATE , 
(TRUNC(NVL(SellEndDate, SYSDATE), 'MI')- TRUNC(SellStartDate, 'MI')) * 24 * 60 * 60 NumberSeconds , 
(TRUNC(NVL(SellEndDate, SYSDATE), 'MI')- TRUNC(SellStartDate, 'MI')) * 24 * 60 NumberMinutes , 
TRUNC((TRUNC(NVL(SellEndDate, SYSDATE), 'HH')- TRUNC(SellStartDate, 'HH')) * 24) NumberHours , 
TRUNC(NVL(SellEndDate, SYSDATE))- TRUNC(SellStartDate) NumberDays , 
FLOOR((TRUNC(NVL(SellEndDate, SYSDATE), 'IW')- TRUNC(SellStartDate, 'IW'))/7) NumberWeeks , 
FLOOR((TRUNC(NVL(SellEndDate, SYSDATE), 'MM')- TRUNC(SellStartDate, 'MM'))/30) NumberMonths , 
FLOOR((TRUNC(NVL(SellEndDate, SYSDATE), 'Q')- TRUNC(SellStartDate, 'Q'))/(30*3)) NumberQuarters , 
FLOOR((TRUNC(NVL(SellEndDate, SYSDATE), 'YYYY')- TRUNC(SellStartDate, 'YYYY'))/365) NumberYears FROM  SQLServer.PRODUCT   

    Up until weeks the differences between the two queries are minimal, the important differences resulting for months, quarters and years. The logic used in the Oracle query could be encapsulated in a date function like the below one:
CREATE OR REPLACE FUNCTION DateDiff ( datepart varchar2 , 
startdate date , 
enddate date) RETURN 
NUMBER IS datepart1 varchar2 (4); 
BEGIN 
      datepart1:= CASE WHEN datepart = 'SS' THEN 'MI' ELSE datepart END;
RETURN FLOOR((TRUNC(enddate, datepart1)- TRUNC(startdate, datepart1)) 

* CASE datepart

    WHEN 'SS' THEN 24 * 60 * 60 
   WHEN 'MI' THEN 24 * 60 
   WHEN 'HH' THEN 24 
   WHEN 'DD' THEN 1 
   WHEN 'IW' THEN 1/7 
   WHEN 'MM' THEN 1/30 
   WHEN 'Q' THEN 1/(30*3)

   WHEN 'YYYY' THEN 1/365 
   ELSE 1 
END); END;  
  
    Here’s the above Oracle query rewritten using the Oracle DateDiff function: 
-- Oracle Date Difference 
SELECT  ProductID, SellStartDate, SellEndDate, SYSDATE , 
DateDiff('SS', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberSeconds , 
DateDiff('MI', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberMinutes , 
DateDiff('HH', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberHours , 
DateDiff('DD', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberDays , 
DateDiff('IW', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberWeeks , 
DateDiff('MM', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberMonths , 
DateDiff('Q', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberQuarters , 
DateDiff('YYYY', SellStartDate, NVL(SellEndDate, SYSDATE)) NumberYears 
FROM SQLServer.PRODUCT 

Adding Time Units
  
  Oracle is using the add/subtract operators also in order to add/subtract time units from a Date, while SQL Server provides the DateAdd built-in function for the same type of operation. 

-- SQL Server adding time unit 
SELECT GetDate() CurrentDate , 
DateAdd(ss, 1, GetDate()) AddingSecond , 
DateAdd(mi, 1, GetDate()) AddingMinute , 
DateAdd(hh, 1, GetDate()) AddingHour , 
DateAdd(dd, 1, GetDate()) AddingDay , 
DateAdd(wk, 1, GetDate()) AddingWeek , 
DateAdd(mm, 1, GetDate()) AddingMonth , 
DateAdd(q, 1, GetDate()) AddingQuarter , 
DateAdd(yyyy, 1, GetDate()) AddingYear 

-- Oracle adding time unit 
SELECT to_char(SYSDATE, 'dd-mon-yyyy hh24:mi:ss') CurrentDate , 
to_char(SYSDATE + 1/(24*60*60), 'dd-mon-yyyy hh24:mi:ss') AddingSecond , 
to_char(SYSDATE + 1/(24*60), 'dd-mon-yyyy hh24:mi:ss') AddingMinute , 
to_char(SYSDATE + 1/24, 'dd-mon-yyyy hh24:mi:ss') AddingHour , 
to_char(SYSDATE + 1, 'dd-mon-yyyy hh24:mi:ss') AddingDay , 
to_char(SYSDATE + 7, 'dd-mon-yyyy hh24:mi:ss') AddingWeek , 
to_char(add_months(SYSDATE, 1), 'dd-mon-yyyy hh24:mi:ss') AddingMonth , 
to_char(add_months(SYSDATE, 3), 'dd-mon-yyyy hh24:mi:ss') AddingQuarter , 
to_char(add_months(SYSDATE, 12), 'dd-mon-yyyy hh24:mi:ss') AddingYear 
FROM DUAL    

    In order to provide similar functionality with SQL Server, could be created a DateAdd function also in Oracle: 
--Oracle DateAdd implementation 
CREATE OR REPLACE FUNCTION DateAdd ( 
 datepart varchar2 , 
unit number , 
targetdate date) RETURN 
date IS     resultdate  date; 
BEGIN 
     IF datepart IN ('MM', 'Q', 'YYYY') THEN resultdate  := CASE datepart  
           WHEN 'MM' THEN add_months(targetdate, unit)
         WHEN 'Q' THEN add_months(targetdate, unit*3) 

         ELSE add_months(targetdate, unit*12) 
   END; 
  ELSE resultdate  := targetdate + unit * CASE datepart 

     WHEN 'SS' THEN 1/ (24 * 60 * 60) 
     WHEN 'MI' THEN 1/ (24 * 60) 
     WHEN 'HH' THEN 1 / 24 
     WHEN 'DD' THEN 1 
     WHEN 'IW' THEN 7 
      ELSE 1 
END; 
END IF; 
RETURN resultdate; 
END; 

     Here’s the above Oracle query rewritten using the Oracle DateAdd function: 
-- Oracle using DateAdd function 
SELECT to_char(SYSDATE, 'dd-mon-yyyy hh24:mi:ss') CurrentDate , 
to_char(DateAdd('SS', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingSecond , 
to_char(DateAdd('MI', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingMinute , 
to_char(DateAdd('HH', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingHour , 
to_char(DateAdd('DD', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingDay , 
to_char(DateAdd('IW', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingWeek , 
to_char(DateAdd('MM', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingMonth , 
to_char(DateAdd('Q', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingQuarter , 
to_char(DateAdd('YYYY', 1, SYSDATE), 'dd-mon-yyyy hh24:mi:ss') AddingYear 
FROM DUAL      

    Of course, in order to subtract a time unit then a negative value needs to be provided for the second parameter.
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