Oracle Precision - oracle

I want a number to take values between -7.2E-75 to +7.2E+75. How should I specify precision and scale for the NUMBER. (The scale range is 1 to 38 and precision is -84 to 127).
If there is any other way to accomplish this please suggest.

The numeric values you propose are well within the limits of the Oracle NUMBER datatype.
Do you need to specify a precision? Defining a column as just NUMBER is allowed:
SQL> desc t1
Name Null? Type
----------------------------------------- -------- ----------------------------
COL1 NUMBER
COL2 NUMBER
COL3 NUMBER
COL4 NUMBER
SQL> insert into t1 (col1, col2) values ( -7.2E-75, +7.2E+75);
1 row created.
SQL>
If it's the range bounds which are bothering you, you need to define a CHECK constraint to enforce the rule.
"Suppose i want COL1 to take 123456766675544.344546567676, with NUMBER as datatype its failing"
Failing? How? That value works fine for me (same table as before):
SQL> insert into t1 (col1) values ( 123456766675544.344546567676);
1 row created.
SQL>
So, please provide more details, such as the error message.
"When i fire the above query it is showing just 123456766675544,"
That sounds like a display issue. The right values are being inserted. Check this out:
SQL> set numwidth 50
SQL> select col1 from t1
/
2
COL1
--------------------------------------------------
7.20000000000000000000000000000000000000000000E+75
123456766675544.344546567676
SQL>
In this case, setting the NUMWIDTH to its maximum allowed value ( in SQL*plus) allows us to display one value but the other is still too big, and so we have to use scientific notation.

Related

Oracle Buildin Datatypes : Number

What is the evaluation of a of value 123.89 in decemial storage in Oracle Databa for NUMBER(3) when there is no scale is defined step by step?
I don't know what Oracle does step-by-step, but - in the end, it rounds the value:
SQL> create table test (col number(3));
Table created.
SQL> insert into test values (123.89);
1 row created.
SQL> insert into test values (200.13);
1 row created.
SQL> select * from test;
COL
----------
124
200
SQL>
Why? Because numbers can have precision and scale. number(3) means that there's no scale (i.e. is equal to number(3, 0)) so - if there's no scale and value you enter exceeds it, then Oracle rounds it.
Read more about NUMBER datatype in documentation.

How does Number data type work in Oracle 21c?

I created a table like this:
CREATE TABLE table(
id INTEGER GENERATED ALWAYS AS IDENTITY,
nome VARCHAR2(100 CHAR)
)
ALTER TABLE table ADD CONSTRAINT table_pk PRIMARY KEY (ID);
CREATE UNIQUE INDEX TABLE_UNIQ_IDX ON TABLE(NOME ASC);
ALTER TABLE table ADD (PERC NUMBER(1, 2) NOT NULL);
Then I tried to write 2 records on it:
INSERT INTO TABLE(NOME,PERC)VALUES('a',0.8);
INSERT INTO TABLE(NOME,PERC)VALUES('b',0.2);
Then I received this error:
ORA-01438: valor maior que a precisão especificada usado para esta coluna
Translated:
ORA-01438: value larger than specified precision allows for this column
I tried select cast (0.8 as number(1,1)) from dual; and it worked but when I tried select cast (0.8 as number(1,2)) from dual; I received the same error.
I then tried select cast (0.81 as number(1,2)) from dual; and received the same ORA-01438.
I changed my field to number(1,1), no big deal, but how does this "Number" data type work?
Shouldn't select cast (0.81 as number(1,2)) from dual; have worked?
Why does select cast (0.81 as number(2,2)) from dual; work and
select cast (0.81 as number(2,3)) from dual; does not?
Thanks for any help
If you have NUMBER(precision, scale) then precision is the number of digits and scale is the number of decimal places.
So, NUMBER(1, 2) has a single digit and 2 decimal places. The minimum value it can store is -0.09 and the maximum it can store is +0.09.
NUMBER(2,2) works as it stores 2 digits in 2 decimal places (from -0.99 to +0.99).
NUMBER(2,3) does not work as it stores 2 digits in 3 decimal places (from -0.099 to +0.099).
What you said, is that perc column should accept numeric values whose length is 1, and out of that 1, you want to keep 2 decimal places. That won't work.
SQL> create table test (perc number(1, 2));
Table created.
SQL> insert into test values (0.8);
insert into test values (0.8)
*
ERROR at line 1:
ORA-01438: value larger than specified precision allowed for this column
Perhaps you meant to put it vice versa?
SQL> alter table test modify perc number(2, 1);
Table altered.
SQL> insert into test values (0.8);
1 row created.
SQL>

when we declared number datatype in oracle what it will take default data type?

I was declared one column in oracle datatype is number ex:cust_acc_no NUMBER (9) DEFAULT (0),.
After creating table that column take double datatype why?
but that column is account number so when i select that particular field it shows account numbers with decimal.
If you didn't put any decimal numbers into it, then they aren't decimal numbers. If you think they are, please, post an example - copy/paste your SQL*Plus session which shows what you're saying. I suspect that it is matter of formatting, not data storage.
By the way, you could have used the INT datatype, e.g.
SQL> create table test (cust_acc_no int default 0);
Table created.
SQL> insert into test
2 select 100 from dual union
3 select 0.5 from dual union
4 select 20.6 from dual;
3 rows created.
SQL> select * from test;
CUST_ACC_NO
-----------
1
21
100
SQL>

Oracle vs HANA char data type handling

We have Oracle as source and HANA 1.0 sps12 as target. We are mirroring Oracle to HANA with Informatica CDC through real-time replication. In Oracle, for many columns we have datatype as CHAR i.e. fixed length datatype. As HANA officially doesn't support CHAR datatype so we are using NVARCHAR data type instead of same. Problem we are facing is -as in Oracle CHAR datatype is of fixed length and append spaces whenever actual string is of lesser length than datatype, we have lot of extra spaces in target HANA db for such columns.
For eg. If column col1 has data type
CHAR(5)
and value as 'A', it is replicated in HANA as 'A ' i.e. 'A' appended by four extra spaces, causing lot of problems in queries and data interpretation
Is it possible to implement CHAR like datatype in HANA?
You can use RPAD function in Informatica while transferring data to Hana. Just make sure if Hana doesn't trim automatically.
So, for the CHAR(5) source column you should use:
out_Column = RPAD(input_Column, 5)
Pretty much exactly, as the documentation says:
I don't know HANA and this is more a comment than an answer, but I chose to put it here as there's some code I'd like you to see.
Here's a table whose column is of a CHAR datatype:
SQL> create table test (col char(10));
Table created.
SQL> insert into test values ('abc');
1 row created.
Column's length is 10 (which you already know):
SQL> select length(col) from test;
LENGTH(COL)
-----------
10
But, if you TRIM it, you get a better result, the one you're looking for:
SQL> select length( TRIM (col)) from test;
LENGTH(TRIM(COL))
-----------------
3
SQL>
So: if you can persuade the mirroring process to apply TRIM function to those columns, you might get what you want.
[EDIT, after seeing Lars' comment and re-reading the question]
Right; the problem seems to be just the opposite of what I initially understood. If that's the point, maybe RPAD would help. Here's an example:
SQL> create table test (col varchar2(10));
Table created.
SQL> insert into test values ('abc');
1 row created.
SQL> select length(col) from test;
LENGTH(COL)
-----------
3
SQL> insert into test values (rpad('def', 10, ' '));
1 row created.
SQL> select col, length(col) len from test;
COL LEN
---------- ----------
abc 3
def 10
SQL>

Oracle Number data type and its strictness

I'm very new to oracle but I've been learning about it in class and I've recently come across the number data type. I've read the documentation regarding scale and precision (s,p) but I still am not positive regarding the type's proper usage.
Let's say I want to store percent values as a decimal. The decimal can be anywhere from 0 to 1 and may have up to 3 numbers following the decimal place.
Some possible decimals to be stored may include:
.66
.553
1.00
If I were to make the column NUMBER(4,3) would that work EVEN IF there were only two numbers? See below
.22
.10
.35
etc...
In short, does the number type require that the EXACT sizes are met? Eg. Would NUMBER(4,3) ABSOLUTELY REQUIRE that the data inserted is 4 numbers, 3 of them falling after the decimal place?
Thanks for the help!
Data types for columns limit the range of values that can be stored. But they don't do anything to force a particular length or precision.
Just like you can store a single character or a NULL in a VARCHAR2(100) column, you can store numbers with less than 3 digits of precision and less than 4 digits of scale. For example, the values 0 and 6.1 are both perfectly valid for a NUMBER(4,3) column. If you insert a value that has too many digits of precision, the value will be silently rounded to the precision specified in the column definition.
SQL> create table foo (
2 col1 number(4,3)
3 );
Table created.
SQL> insert into foo values( 9.999 );
1 row created.
SQL> insert into foo values (0);
1 row created.
SQL> insert into foo values( 6.1 );
1 row created.
SQL> insert into foo values( 1.2345 );
1 row created.
SQL> select * from foo;
COL1
----------
9.999
0
6.1
1.235

Resources