I need to transpose this table to below one. But since my rows in 1 table is dynamic and it will increment each week and month I couldn't get a correct result from unpivot.
I need to transpose the following table columns to rows and rows to columns...Im not quite sure how to acheive this...I have the following table with fixed number of columns and dynamic number of rows based on date filter in query
MONTH_YEAR RMS RMS_OCC TTL_RMS --------------------------------------- SEPTEMBER 200917790017790 OCTOBER 2009183831278818347 NOVEMBER 2009177901460517762
and I need to display this as
COL1 SEPTEMBER 2009 OCTOBER 2009 NOVEMBER 2009 -------------------------------------------------------------- RMS 17790 18383 17790 RMS_OCC 0 12788 14605 TTL_RMS 17790 18347 17762
Depending on the no. of distinct dates in table 1 i have to make those many columns in table 2. I m trying to write a Query in SQL. If its not possible in SQL give me PL/SQL procedure.
I have a requirement to transpose the column to rows like the one below, i am not getting the logic on how to do it, If any of you have come across this logic,
I am using Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - 64bit Production versionI have following table - drop table t2;
create table t2(BATot,Ly_BATot,LLy_BATot,BScTot,Ly_BScTot,LLy_BScTot,BAMSTot,Ly_BAMSTot,LLy_BAMSTot) as select 5000,2000,12600,20000,45600,35000,45000,56000,65000 from dual ;
select null class, batot,ly_batot,lly_batot,bsctot,ly_bsctot,lly_bsctot,bamstot,ly_bamstot,lly_bamstot from t2; Simple DML I am using - SELECT * FROM T2;
i am practicing to get Dynamic columns as i have learnt from Orafaq SQL/PLSQL forum .i am using Default EMP table...first one is running smoothly as below:
In col4 , we have to update the values of col3 (column) ... it is very easy to update the values by executing the query for each column but my requirement is ... I want to execute the query once for a table ( example select col1_abc,col2_abc from table_abc ... this will return always a single value after adding other conditions in where clause) and why I want to do this? .. because there can be multiple (might be 30 variables values) from a single table.
I have converted the columns into rows by using listagg function now I have lets a dynamic query ( for the above example).
for i in 1.2 loop
l_query := ' select col1_abc, col2_abc from table_abc'; open c1 for l_query;
end loop;
my problem is : how to hold these values and update the above table?
I need to write a dynamic SQL in PL SQL to query an unknown number of columns. Let me take a simple example query here:
SELECT FIRST_NAME, LAST_NAME FROM VENDOR_CONTACTS
If I have known the number of columns, e.g. querying two columns: "FIRST_NAME" and "LAST_NAME", I can write a DYNAMIC SQL based on the template in table 8-2 of URL....
DECLARE stmt_str varchar2(200); cur_hdl int; rows_processed int; FIRST_NAME varchar2(200); LAST_NAME varchar2(200); BEGIN cur_hdl := dbms_sql.open_cursor; -- open cursor stmt_str := 'SELECT FIRST_NAME, LAST_NAME FROM VENDOR_CONTACTS'; [code]....
However, if I wish to write a dynamical sql to query these two columns for a more general purpose (which should meet the requirement to query different number of columns, e.g. three columns, FIRST_NAME, LAST_NAME, BIRTHDAY instead of two columns FIRST_NAME and LAST_NAME). To do this I first try to query the same two columns but using a different method, following URL.....My code for the same query has error, and I cannot solve it.
Employee Number Name Value Rate Type Type Assignment Id ----------------------------------------------------------------- 4 Employee 1 800 N 5 Yr Bonus 64 4 Employee 1 1063 N 6 Months Bouns 64 4 Employee 1 24.04 H Reg Hourly Sal 64 5 Employee 2 6923.08 S Reg Sal 65 6 Employee 3 5961.54 S Reg Sal 66 6 Employee 3 15000 N 6 Months Bouns 66
I want to convert above out to look like following
Emp Num Name Value Rate Type Type Val 1 Rate Type 1 Type 1 Value 2 Rate Type 2 Type 2 Assignt Id ------------------------------------------------------------------------------------------------------------------- 4 Employee 1 24.04 H Reg Hourly Sal 800 N 5 Yr Bon 1063 N 6 Mon Bon 64 5 Employee 2 6923.08 S Reg Sal 65 6 Employee 3 5961.54 S Reg Sal 15000 N 6 MontBon 66
Example of Query Output 2.
Employee Number Name Value Rate Type Type Assignment Id -------------------------------------------------------------------------------- 4 Employee 1 800 N 5 Yr Bonus 64 4 Employee 1 1063 N 6 Months Bouns 64 4 Employee 1 1345 N Patent Bonus 64 4 Employee 1 24.04 H Reg Hourly Sal 64 5 Employee 2 6923.08 S Reg Sal 65 6 Employee 3 5961.54 S Reg Sal 66 6 Employee 3 15000 N 6 Months Bouns 66
Desired Output from Above Query. As you can see column have increased as one more row for same employee has increased
ENu Nm Val RTy Ty Val1 RTy1 Ty1 Val2 RTy2 Ty2 Val3 RTy3 Ty3 AsgId ------------------------------------------------------------------------------------------------------------------- 4 E1 24.04 H Reg Hour Sal 1063 N 6 Mon Bns 1345 N Pat Bon 800 N 5YB 64 5 E2 6923.08 S Reg Sal 65 6 E3 5961.54 S Reg Sal 15000 N 6 Mos Bns 66
T1 is having 2 columns t1_c1, t1_c2 T2 is having 3 columns t2_c1,t2_c2,t2_c3
I need to design a form which should be like
there must be a pop item (Dropdown menu) in a separate block.
If I select 1 from the pop item, T1 with 2 columns should display in a tabular form. If I select 2 from the pop item, T2 with 3 columns should display and T1 with 2 columns should hide.
So the form should be dynamic based on the selected pop item. Is there any chance to do this?
create table src(id number,val number,data varchar2(100)) insert into src values (1,1,'SUN'); insert into src values (2,2,'WED'); insert into src values (3,3,'MON'); create table trg(id number,val number,data varchar2(100)) required rows to be inserted in the target table.
insert into trg values (1,1,'SUNDAY'); insert into trg values (2,0,NULL); insert into trg values (2,0,NULL); insert into trg values (3,0,NULL); insert into trg values (3,0,NULL);insert into trg values (3,0,NULL);
{code} based on the column value of the source table src's column val , i need to populate my target table trg . If the value of val is 1 then only one target row is created in the target .If the value of val in the source table src is 2 then the target is populated with 2 rows .The values of the target columns are mapped as follow:
1)id -as it is
2)val - if the val of src is 1 then map the val as it is .If the value of val is more than one then create as many rows as the value of val ,id will be as it is and the value of val and data will be null
3)data - if the val of src is 1 then expand the abbreviation else null .
col1 col2 col3 1 A someval1 2 A someval2 3 A someval3 2 B someval4 3 B someval5
In col1 there will be always 1 or 2 or 3 value not more than 3 I am using oracle 10g.Want the following output in a single query with using user defined function or stored proc
SELECT CASE WHEN "PIVOT_ROW_GENERATOR"."ID" = 0 THEN "PIVOT_SOURCE"."ID_NUMBER" WHEN "PIVOT_ROW_GENERATOR"."ID" = 1 THEN "PIVOT_SOURCE"."ID_NUMBER" [code].........
Note: This is not a homework assignment, but rather, a technical bottleneck at work.
My dilemma is such: let's say that I have 1 teacher in an entity, and this teacher has 3 students in an associative entity. So if you did a select T.teacher, S.student from TEACHER T, STUDENT S, where T.teacher_id = S.teacher_id, you would get 3 rows:
I tried creating the required view using 'CASE' statement and group by but its returning multiple rows.
select case when PropertyID=1 then VALUE end as Attrib1, case when PropertyID=2 then ValueID end as Attrib2, case when PropertyID=3 then ValueID end as Attrib3 case when PropertyID=4 then ValueID end as Attrib4 from ( select Phone, PropertyID, ValueID,Value from PropertyValue group by Phone, PropertyID, ValueID,Value )
COLUMN_1 HEADING_1 VALUE_1 First 10 99 Second 50 50 Third 10 80 First 50 77 Third 50 70 First 100 55 Third 100 60
And i need the output like below. (i.e. distinct heading_1 (10, 50, 100) will become our new column headings and corresponding values for these headings will be filled in all the rows)
10 50 100 First 99 Second 50 Third 80 First 77 Third 70 First 55 Third 60
