To get last date of all the month in between year 2000 to 2100

Hi all
how we can make view that list last date of all the month in between year 2000 and 2100
Thanks & regards
vivek

You would use the LAST_DAY() function:
WITH months AS
     SELECT      TO_DATE('01/01/2000','MM/DD/YYYY') AS dt1
     ,     TO_DATE('12/31/2100','MM/DD/YYYY') AS dt2
     FROM     DUAL
SELECT LAST_DAY(ADD_MONTHS(dt1,level-1)) LST_DAY_MONTHS
FROM     months
CONNECT BY LEVEL <= MONTHS_BETWEEN(dt2,dt1)+1Sample of results (too many to post):
LST_DAY_MONTHS
01/31/2000 00:00:00
02/29/2000 00:00:00
03/31/2000 00:00:00
04/30/2000 00:00:00
05/31/2000 00:00:00
06/30/2000 00:00:00
07/31/2000 00:00:00
08/31/2000 00:00:00
09/30/2000 00:00:00
10/31/2000 00:00:00
11/30/2000 00:00:00
12/31/2000 00:00:00
01/31/2001 00:00:00
02/28/2001 00:00:00
03/31/2001 00:00:00
04/30/2001 00:00:00
05/31/2001 00:00:00
06/30/2001 00:00:00
07/31/2001 00:00:00
08/31/2001 00:00:00
09/30/2001 00:00:00
10/31/2001 00:00:00
11/30/2001 00:00:00
12/31/2001 00:00:00
01/31/2002 00:00:00
02/28/2002 00:00:00
03/31/2002 00:00:00

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Getting data in a query on last date of all previous months

Dear Experts,
I need your help with a query.
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I could create the query for fetching the required data on last day of the previous month, say today is 25th June 2014, so my query only fetches data for May 31st 2014 but I need data for all previous month, May 31st 2014, April 30th 2014, March 31st 2014 & so on.
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Thanks & regards,
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Hi,
Try this:
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FROM ORDR T0
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pivot
(count(#) for c in([cvt01],[cvt02],[cvt03],[cvt04],[cvt05],[cvt06],[cvt07],[cvt08],[cvt12])) P
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Hi
I need to develop a report based on the query where i need to obtain the details for all the month in a year.My problem is, if a particular month is not present then it should show the details with value as null and all the month should be displayed in order.
for instance if Jan,March details are present in the table then in the report it should display as
Jan 123 124 124
Feb 0 0 0
Mar 123 124 124
Apr 0 0 0
May 0 0 0
so on.
Please help me in finding the solution
thanks,
Rahul

Kuljeets query will not return rows if in a particular month there is no hiredate. You can combine the 2 solutions above in one query:
select nummon, charmon, nvl(sum(sal),0)
from   emp,
(select '01' nummon ,'JAN' charmon from dual
union
select '02','FEB' from dual
union
select '03','MAR' from dual
union
select '04','APR' from dual
union
select '05','MAY' from dual
union
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union
select '07','JUL' from dual
union
select '08','AUG' from dual
union
select '09','SEP' from dual
union
select '10','OCT' from dual
union
select '11','NOV' from dual
union
select '12','DEC' from dual )
where nummon =   to_char(hiredate (+),'MM')
group by nummon, charmon
order by 1;
NU CHA NVL(SUM(SAL),0)
01 JAN            1300
02 FEB            2850
03 MAR               0
04 APR            5975
05 MAY            3950
06 JUN            2450
07 JUL               0
08 AUG               0
09 SEP            2750
10 OCT               0
11 NOV            5000
12 DEC            4850
12 rows selected.The first column is only used for sorting.

How to get last date of month ?

Dear all
hi!!!
How can I get the last date of a particular month?
I mean if the month is Feb, last date of the month should be 28.
Is it required to write in loop or there is any method to get it.
Please write me urgently,
thanx,
Samir

Hello ,
You can get the last date of a particular month of a particular year like this :
int year= 2000;
int month=1; // February (month is zero based )
int date = 20;
java.util.GregorianCalendar gc = new java.util.GregorianCalendar(year,month,date);
int last_day = gc.getActualMaximum(Calendar.DAY_OF_MONTH));
Sandip

Query to get the data of all the columns in a table except any one column

Can anyone please tell how to write a query to get the data of all the columns in a table except one particular column..
For Example:
Let us consider the EMP table.,
From this table except the column comm all the remaining columns of the table should be listed
For this we can write a query like this..
Select empno, ename, job, mgr, sal, hiredate, deptno from emp;
Just to avoid only one column, I mentioned all the remaining ( 7 ) columns of the table in the query..
As the EMP table consists only 8 columns, it doesn't seem much difficult to mention all the columns in the query,
but if a table have 100 columns in the table, then do we have to mention all the columns in the query..?
Is there any other way of writing the query to get the required result..?
Thanks..

Your best best it to just list all the columns. Any other method will just cause more headaches and complicated code.
If you really need to list all the columns for a table because you don't want to type them, just use something like...
SQL> ed
Wrote file afiedt.buf
1 select trim(',' from sys_connect_by_path(column_name,',')) as columns
2 from (select column_name, row_number() over (order by column_id) as column_id
3        from user_tab_cols
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6       )
7 where connect_by_isleaf = 1
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SQL> /
COLUMNS
EMPNO,ENAME,JOB,MGR,HIREDATE,SAL,DEPTNO
SQL>

Function to get all the months name of a year from dual

HI GURUS
Is there any function to get all the months name of a year from dual
thanks in advance

What about this --
satyaki>
satyaki>select months_name
2 from (
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4         from dual
5         connect by rownum<=12
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FEBRUARY
MARCH
APRIL
MAY
JUNE
JULY
AUGUST
SEPTEMBER
OCTOBER
NOVEMBER
MONTHS_NAME
DECEMBER
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satyaki>Regards.
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http://sharepointfordeveloper.blogspot.in/2013/09/sharepoint-2013-result-source.html
http://sharepointfordeveloper.blogspot.in/2013/09/sharepoint-2013-result-types.html
http://sharepointfordeveloper.blogspot.in/2013/06/sharepoint-2013-design-manager.html

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hi,
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data : p_week type KWEEK,
p_Date type SYDATUM.
p_week = <incoming value in week of year>
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EXPORTING
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Hello
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I can run it every day and put a code in the infopackage/DTP so that empty load (0 records) will be done on other days.
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How to generate test data for all the tables in oracle

I am planning to use plsql to generate the test data in all the tables in schema, schema name is given as input parameters, min records in master table, min records in child table. data should be consistent in the columns which are used for constraints i.e. using same column value..
planning to implement something like
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schemaname = owner,
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There are two approaches you can take with this. I'll mention both and then ask which
one you think you would find most useful for your requirements.
One approach I would call the generic bottom-up approach which is the one I think you
are referring to.
This system is a generic test data generator. It isn't designed to generate data for any
particular existing table or application but is the general case solution.
Building on damorgan's advice define the basic hierarchy: table collection, tables, data; so start at the data level.
1. Identify/document the data types that you need to support. Start small (NUMBER, VARCHAR2, DATE) and add as you go along
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a. min length - the minimum length to generate
b. max length - the maximum length
c. prefix - a prefix for the generated data; e.g. for an address field you might want a 'add1' prefix
d. suffix - a suffix for the generated data; see prefix
e. whether to generate NULLs
3. For NUMBER you will probably want at least precision and scale but might want minimum and maximum values or even min/max precision,
min/max scale.
4. store the attribute combinations in Oracle tables
5. build functionality for each data type that can create the range and type of data that you need. These functions should take parameters that can be used to control the attributes and the amount of data generated.
6. At the table level you will need business rules that control how the different columns of the table relate to each other. For example, for ADDRESS information your business rule might be that ADDRESS1, CITY, STATE, ZIP are required and ADDRESS2 is optional.
7. Add table-level processes, driven by the saved metadata, that can generate data at the record level by leveraging the data type functionality you have built previously.
8. Then add the metadata, business rules and functionality to control the TABLE-TO-TABLE relationships; that is, the data model. You need the same DETPNO values in the SCOTT.EMP table that exist in the SCOTT.DEPT table.
The second approach I have used more often. I would it call the top-down approach and I use
it when test data is needed for an existing system. The main use case here is to avoid
having to copy production data to QA, TEST or DEV environments.
QA people want to test with data that they are familiar with: names, companies, code values.
I've found they aren't often fond of random character strings for names of things.
The second approach I use for mature systems where there is already plenty of data to choose from.
It involves selecting subsets of data from each of the existing tables and saving that data in a
set of test tables. This data can then be used for regression testing and for automated unit testing of
existing functionality and functionality that is being developed.
QA can use data they are already familiar with and can test the application (GUI?) interface on that
data to see if they get the expected changes.
For each table to be tested (e.g. DEPT) I create two test system tables. A BEFORE table and an EXPECTED table.
1. DEPT_TEST_BEFORE
     This table has all EMP table columns and a TEST_CASE column.
     It holds EMP-image rows for each test case that show the row as it should look BEFORE the
     test for that test case is performed.
     CREATE TABLE DEPT_TEST_BEFORE
     TESTCASE NUMBER,
     DEPTNO NUMBER(2),
     DNAME VARCHAR2(14 BYTE),
     LOC VARCHAR2(13 BYTE)
2. DEPT_TEST_EXPECTED
     This table also has all EMP table columns and a TEST_CASE column.
     It holds EMP-image rows for each test case that show the row as it should look AFTER the
     test for that test case is performed.
Each of these tables are a mirror image of the actual application table with one new column
added that contains a value representing the TESTCASE_NUMBER.
To create test case #3 identify or create the DEPT records you want to use for test case #3.
Insert these records into DEPT_TEST_BEFORE:
     INSERT INTO DEPT_TEST_BEFORE
     SELECT 3, D.* FROM DEPT D where DEPNO = 20
Insert records for test case #3 into DEPT_TEST_EXPECTED that show the rows as they should
look after test #3 is run. For example, if test #3 creates one new record add all the
records fro the BEFORE data set and add a new one for the new record.
When you want to run TESTCASE_ONE the process is basically (ignore for this illustration that
there is a foreign key betwee DEPT and EMP):
1. delete the records from SCOTT.DEPT that correspond to test case #3 DEPT records.
          DELETE FROM DEPT
          WHERE DEPTNO IN (SELECT DEPTNO FROM DEPT_TEST_BEFORE WHERE TESTCASE = 3);
2. insert the test data set records for SCOTT.DEPT for test case #3.
          INSERT INTO DEPT
          SELECT DEPTNO, DNAME, LOC FROM DEPT_TEST_BEFORE WHERE TESTCASE = 3;
3 perform the test.
4. compare the actual results with the expected results.
     This is done by a function that compares the records in DEPT with the records
     in DEPT_TEST_EXPECTED for test #3.
     I usually store these results in yet another table or just report them out.
5. Report out the differences.
This second approach uses data the users (QA) are already familiar with, is scaleable and
is easy to add new data that meets business requirements.
It is also easy to automatically generate the necessary tables and test setup/breakdown
using a table-driven metadata approach. Adding a new test table is as easy as calling
a stored procedure; the procedure can generate the DDL or create the actual tables needed
for the BEFORE and AFTER snapshots.
The main disadvantage is that existing data will almost never cover the corner cases.
But you can add data for these. By corner cases I mean data that defines the limits
for a data type: a VARCHAR2(30) name field should have at least one test record that
has a name that is 30 characters long.
Which of these approaches makes the most sense for you?

To get last date of all the month in between year 2000 to 2100

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