From a query I want to replace the null values of the "cod_account" field, the condition to fill this field is that it must take the previous value only if it satisfies that the previous records of other fields (cod_agen, cod_sub, no_prod) are equal.
Currently it is like this:
enter image description here
what is desired is
enter image description here
thanks for your advice. i solve it
use with to separate queries.
select
case when cod_account is null and class ='Primary'
then null
when cod_account is null and class='Secundary'
then (select cod_account from principals P--principals is table create in a "with"
where fa.cod_agen=P.cod_agen
and fa.cod_sub=P.cod_sub
and fa.no_prod=P.no_prod
and p.class='secundary'
)
...
from signs fa
Related
I have Oracle database table with three columns i.e Id,RTOName,VehicleCode. my table looks like below
RTOName is the varchar2 type and VehicleCode is NUMBER(2,0) and is nullable field.
So I have the data like below and I want to fetch the records with Some VehicleCode and with null value. The table design like this already done so changing that will impact a lot in my application. I have a JPA Native Query that I used like this and I want to fetch the records with null values.
Query query = createNativeQuery("select RTOName,VehicleCode from tbl_vehiclecodes WHERE VehicleCode=#vCode");
query.setParameter("vCode", vehicleCode);
From above Query I will get only Non null valued record. Eg. for vCode parameter 61 I will get
Marathalli,61. If my vCode is null I have a problem and I wont get any record.
How to achieve this in Native Query?
I know that we can use IS NULL in the Query in where clause. Since I have some numbers here In my case how to solve this? Any help
Thanks
We can use OR here,
Following query will give you records with matched records for parameter vCode along with rows having null and in case of vCode is null you get the records only with null values.
Query query = createNativeQuery("select RTOName,VehicleCode from tbl_vehiclecodes WHERE (VehicleCode is null or VehicleCode=#vCode)");
Edit: considering the doubts from #Ranagal
If you want like in case of null value passed to vCode you want all the records having value in vehiclecode and also with null then we need to change the query like,
Query query = createNativeQuery("select RTOName,VehicleCode from tbl_vehiclecodes WHERE (VehicleCode is null or VehicleCode=coalesce(#vCode,VehicleCode))");
I have a select list based on other select list. It works fine on the create screen but gives 'Invalid number' error in update screen.
SQL query:
select description, account_id
from t_account
where chart_id = :P15_chart_name
Please help me out!
You are trying to convert a string into a number, and that failed.
As Select List item has 2 values: 1st being display and the 2nd return value, it is the 2nd value that causes problems - account_id in your case.
For example, it contains value A while column that is supposed to accept this value is declared as NUMBER. Oracle can't convert A into a number and raises an error.
What to do?
make sure that Select List item LoV query returns only numbers, or
modify column's datatype to varchar2
If that's not it, then :P15_CHART_NAME item and chart_id table column differ in datatypes; a simple option is to fix page item's datatype.
I have a create statement like
CREATE TABLE temp_tbl (EmpId String,Salary int);
I would like to insert an employee id and a blank value into table.
So What I have done is
insert overwrite table temp_tbl select '013' as EmpId,'' as Salary from tbl;
hive> select * from temp_tbl;
OK
013 NULL
But expected result is
hive> select * from temp_tbl;
OK
013 NULL ---> Blank instead of NULL
Also tried with "". Still I get it as NULL instead of blank
3.Tried to create table with serialization property
CREATE TABLE temp_tbl (EmpId String,Salary int) TBLPROPERTIES ('serialization.null.format' = '');
That too didn't change NULL value to blank.
What can be the workaround for the same.
Use Case while selecting the data.
Select
(CASE
WHEN columnName is null THEN ''
ELSE columnName
END) as 'Result' from temp_tbl;
All types except strings/varchar/char and some complex types like array, in Hive cannot be blank, only NULL is possible. Empty string '' is quite normal value of type String. You can produce empty array() as well (Array with zero size).
As a workaround, you can use some predefined values which are not normally in your data to represent some special numeric values, like -99999. Alternatively you can store your numeric values in a String column, in such case you will be able to have empty values in it. But it's not possible to assign (cast) empty strings to numeric types, because such empty value is not allowed.
If you try to assign empty string to numeric column or cast to numeric type, the result will be the same as if you are converting non-numeric string to numeric - NULL (in Hive if not possible to cast, it returns NULL) or get java.lang.NumberFormatException in Java.
Knowing that datatype Int can be either NULL or integer , I'd think of how to work around the problem.
I have the impression that 0 can do the job. Why can it not?
If 1 is not ideal, why not create a new temp_employees_with_no_salary table?
If 2 is not ideal, can you afford to change the datatype of temp_tbl.Salary from Int to String, then use CAST(Salary AS INT) to work with it?
I am trying to use the "Create Table As Select" feature from Oracle to do a fast update. The problem I am seeing is that the "Null" field is not being preserved.
I defined the following table:
create table mytable(
accountname varchar2(40) not null,
username varchar2(40)
);
When I do a raw CTAS, the NOT NULL on account is preserved:
create table ctamytable as select * from mytable;
describe ctamytable;
Name Null Type
----------- -------- ------------
ACCOUNTNAME NOT NULL VARCHAR2(40)
USERNAME VARCHAR2(40)
However, when I do a replace on accountname, the NOT NULL is not preserved.
create table ctamytable as
select replace(accountname, 'foo', 'foo2') accountname,
username
from mytable;
describe ctamytable;
Name Null Type
----------- ---- -------------
ACCOUNTNAME VARCHAR2(160)
USERNAME VARCHAR2(40)
Notice that the accountname field no longer has a null, and the varchar2 field went from 40 to 160 characters. Has anyone seen this before?
This is because you are no longer selecting ACCOUNTNAME, which has a column definition and meta-data. Rather you are selecting a STRING, the result of the replace function, which doesn't have any meta-data. This is a different data type entirely.
A (potentially) better way that might work is to create the table using a query with the original columns, but with a WHERE clause that guarantees 0 rows.
Then you can insert in to the table normally with your actual SELECT.
By having query of 0 rows, you'll still get the column meta-data, so the table should be created, but no rows will be inserted. Make sure you make your WHERE clause something fast, like WHERE primary_key = -999999, some number you know would never exist.
Another option here is to define the columns when you call the CREATE TABLE AS SELECT. It is possible to list the column names and include constraints while excluding the data types.
An example is shown below:
create table ctamytable (
accountname not null,
username
)
as
select
replace(accountname, 'foo', 'foo2') accountname,
username
from mytable;
Be aware that although this syntax is valid, you cannot include the data type. Also, explicitly declaring all the columns somewhat defeats the purpose of using CREATE TABLE AS SELECT.
For example, if the front end can give a Date, then add Date='someDate' with necessary AND keyword, and also show up the Date column by SELECT. Otherwise that Date column do not show either in the condition string nor in the SELECT
It is like
if the Date is not null
then
Select .... Date as Date01 from TableName where ....AND Date01='someDate';
if the Date is null
then
Select .... from TableName where ..;
How to achieve such goal? Thank you.
If you want to return two separate select lists then you would need two queries to perform this.
You cannot hide a column in a SELECT list based on whether or not a date has been provided.
If you want to include the column and the condition, then you can use a case expression to provide a different value to the records that don't have the condition. Similar to this:
select
case when Date01='someDate'
then Date
else null end as Date01
from TableName
where yourFilters
or Date01='someDate'