I Have two dates. One is cur_phy_date and next one is Last_Phy_Date. But problem here is flat file has only one date i.e.,cur_phy_date but to calculate Last_Phy_Date I need to substract 6 months from cur_phy_date in SQL LOADER control file.
My sample date formats for cur_phy_date: 2018MAY01.
Is it possible to substract 4 or 5 months from cur_phy_date and get Last_Phy_Date in the same format as cur_phy_date
Hopefully you have the power to make your columns a proper DATE datatype. If not, well, we all have to work with a bad design at one point or another. Either way, you need to convert the current date to a proper date by referencing it with a preceding colon character, subtract 6 months, then convert to the format you need. Here's how your control file entry should look:
To a proper date:
Last_Phy_Date date "MM/DD/YYYY" "TO_CHAR(ADD_MONTHS(TO_DATE(:cur_phy_date , 'YYYYMONDD'),-6), 'MM/DD/YYYY')",
To a VARCHAR2:
Last_Phy_Date CHAR "TO_CHAR(ADD_MONTHS(TO_DATE(:cur_phy_date , 'YYYYMONDD'),-6), 'YYYYMONDD')",
Related
Good Day,
i have an MS Access DB that has 1 column that contains dates and strings (in different cells). my question is if it is possible to filter by date as date while keeping the strings? the column looks like this:
Date_Col
01/05/15
05/04/18
Not Released
01/01/18
Not Released
this is data from hardware EOL so we need to keep the dates and the strings but we need to have the ability to filter or sort the dates as we wish.
any help would be appreciated as right now when i am trying to filter the column is treating everything as text but if the column was in excel it will filter by date and ignore the strings cells.
You can use a query where you convert that text field to a true date value:
Select *, CDate([Date_Col]) As TrueDate
From YourTable
Where IsDate([Date_Col])
Now, filter on field TrueDate as you like.
I want to transform the value of fields name and Date using pentaho(kattle) and store it in standard format in any table.
For example
id,name,f_n,Date
1,j_vick,03-05-2015
2,jo_vick,04,08,2016
3,Arn_jonnn_vick,05,07,2017
Now I want to transform it using pentaho(kattle) IDE and store it in data base like below:
id,name,Date
1,john_vick,03/05/2015
2,john_vick,04/08/2016
3,Arn_john_vick,05/07/2017
I don't want the transformation steps concern with extraction database storage.
The date format is just some clothing of a value. Just read it with Kettle and store it as is. The database will store it in its proper internal binary format anyway.
Unless, you have to store them explicitly as varchar. In that case, use the Metadata tab of the Select Value step. Define your column as Date and specify the format as dd/MM/yyyy or MM/dd/yyyy. It will be kept internally as a Date, and converted into a String with the selected format at the last moment.
You also seam to have an other problem: the day, month and year are in three columns. The easiest way is to use a Modified Java Script Value step, in which you define a new column date = new Date(year, month, year), with type Date, and let Kettle handle with the format.
Maybe you have mixed input, in which case you can use a Filter or a Swtich step, based on weather you have something in the day and month column.
When that is done, you can make a job that runs the transformation on all the tables. You have an example in the sample/jobs/process all tables furnished with the Pentaho Data Integrator (aka Kettle).
I am trying to get a total number of days hired using the DateDiff function is access.
I currently use:
=DateDiff("d",[hired_from],[hired_to])
To get the difference between two dates, however if the two dates selected are the same it will produce an output of 0, I would like it to produce an output of 1 when the two dates selected are the same, thanks.
It doesn't make much sense as the difference between two identical values always will be zero.
So you probably mean:
=DateDiff("d",DateAdd("d",-1,[hired_from]),[hired_to])
or just add one to the count:
=DateDiff("d",[hired_from],[hired_to])+1
I ended up making this work by using an if statement as shown:
==IIf(DateDiff("d",[hired_from],[hired_to])=0,1,DateDiff("d",[hired_from],[hired_to]))
to get the difference of two dates (which is only a format for an integer value), you have only to subtract the two dates and make sure that the result format is an integer.
Variable = [hired_to]-[hired_from]
What is the correct function to use when i want to convert a date to a number. Like when you enter a date in excel for example (now()) and then it will show the date but when you click on the number format it will show you a number.
I tried to use Unix timestamp but its not exactly the output i was looking for.
The date i entered is today's date
=now()
and the output i was hoping to get is
42146
what's the correct function to get this result in mysql?
Thank you
Microsoft Excel bases date serial numbers from Jan 1, 1904 or from Jan 1, 1900 (depends on the setting in the workbook.)
To generate a date "serial number" similar to what Excel uses, just calculate the number of days between NOW() (or whatever date you want to convert), and the base date. For example:
SELECT DATEDIFF(NOW(),'1900-01-01') AS excel_serial_date_1900
(You might need to add 1 or subtract 1 to get the exact same value that Excel uses, I've not tested that.) If your Excel workbook is using the 1904 based serial date, use '1904-01-01' as the base date in the expression.
Note: the DATEDIFF function returns integer number of days, operates only on the "date" portion, and doesn't include any fraction of a day.
Reference: https://dev.mysql.com/doc/refman/5.5/en/date-and-time-functions.html#function_datediff
I'm using Access 2003. Have a table with some date values in a text data column like this;
May-97
Jun-99
Jun-00
Sep-02
Jan-04
I need to convert them to proper date format and into another Date/time column, So create a new Date/Time columns and just updated the values from the Text column into this new column. At first it looked fine, except for years after the year 2000. The new columns converted the dates as follows;
May-97 > 01/05/1997
Jun-99 > 01/06/1999
Jun-00 > 01/06/2000
Sep-02 > 01/09/2010
Jan-04 > 01/01/2010
As you can see any data with year after 2000 get converted to 2010. The same thing happens if I query the data using FORMAT(dateString, "dd/mm/yyyy").
Any ideas why this is so? Do I have to split the month and year and combine them again?
Thanks
Access/Jet/ACE (and many other Windows components) use a window for interpreting 2-digit years. For 00 to 29, it's assumed to be 2000-2029, and for 30-99, 1930-1999. This was put in place to address Y2K compatibility issues sometime in the 1997-98 time frame.
I do not allow 2-digit year input anywhere in any of my apps. Because of that, I don't have to have any code to interpret what is intended by the user (which could conceivably make mistakes).
This also points up the issue of the independence of display format and data storage with Jet/ACE date values. The storage is as a double, with the integer part indicating the day since 12/30/1899 and the decimal part the time portion within the day. Any date you enter is going to be stored as only one number.
If you input an incomplete date (i.e., with no century explicitly indicated for the year), your application has to make an assumption as to what the user intends. The 2029 window is one solution to the 2-digit year problem, but in my opinion, it's entirely inappropriate to depend on it because the user can change it in their Control Panel Regional Settings. I don't write any complicated code to verify dates, I just require 4-digit year entry and avoid the problem entirely. I have been doing this since c. 1998 as a matter of course, and everybody is completely accustomed to it. A few users squawked back then, and I had the "it's because of Y2K" as the excuse that shut them down. Once they got used it, it became a non-issue.
The date is ambiguous, so it is seeing 02 as the day number. Depending on your locale, something like this may suit:
cdate("01-" & Field)
However, it may be best to convert to four digit year, month, day format, which is always unambiguous.
Access seems to be get conduced between MM-YYYY format and MM-DD format. Don't know why it is doing it for dates after the year 2000, but solved it by converting the original string date to full date (01-May-01). Now Access converts the year into 2001 instead of 2010.
If you don't supply a year and the two sets of digits entered into a date field could be a day and month then Access assumes the current year. So your first three dates definitely have a year in them. But the last two don't.
Note that this isn't Access but actually the operating system doing the work. You get the same results in Excel. I had an interesting conversattion with some Microsoft employees on this issue and it's actually OLEAUT32.DLL.