I have a table from which I want to generate 18 digit code.
Below is the 18 digit code sample which I want.
R-AP-AP01-SMT-4567
Also for generating the above sample code, here is the data and its logic:
R - Fix value
AP – (2 digit state code from STATE column)
EAST- (From ZONE_NAME column from query below
SMT – (From FORMAT_CODE column from below query)
4567 – (From Store Code column from below query)
SELECT STATE, STORE_CODE, ZONE_NAME FROM TBL_RRSOC_STORE_INFO;
AND
select FORMAT_CODE from TBL_SITE_STORE_FORMAT;
How can it be achieved?
Update
Below is the table description
Table name:- TBL_RRSOC_STORE_INFO
Name Null Type
--------------------------- -------- --------------
RRSOC_ID NOT NULL NUMBER
STORE_CODE NOT NULL NVARCHAR2(55)
STATE NVARCHAR2(55)
SLP_STATE NVARCHAR2(100)
FORMAT_GROUP NVARCHAR2(100)
Table name:- TBL_SITE_STORE_FORMAT
Name Null Type
------------ ---- -------------
ID VARCHAR2(20)
STORE_FORMAT VARCHAR2(100)
ISACTIVE VARCHAR2(3)
FORMAT_GROUP VARCHAR2(100)
FORMAT_CODE VARCHAR2(50)
The way you put it, you'd join those tables somehow (cross join is as good as any other, as you didn't explain it better) and concatenate column values.
Something like this:
SQL> with
2 tbl_rrsoc_store_info (state, store_code, zone_name) as
3 (select 'AP', 'EAST', 'SMT' from dual union all
4 select 'NY', 'WEST', 'XYZ' from dual
5 ),
6 tbl_site_store_format (format_code) as
7 (select 4567 from dual)
8 --
9 select 'R' ||'-'|| r.state ||'-'|| r.store_code ||'-'|| r.zone_name ||'-'|| s.format_code result
10 from tbl_rrsoc_store_info r cross join tbl_site_store_format s;
RESULT
--------------------
R-AP-EAST-SMT-4567
R-NY-WEST-XYZ-4567
SQL>
Function returns a value; you didn't explain how it should look like (which parameters it accepts) so I chose to pass state, presuming it is unique within the table.
Sample data:
SQL> select * From tbl_rrsoc_store_info;
ST STOR ZON
-- ---- ---
AP EAST SMT
NY WEST XYZ
SQL> select * from tbl_site_store_format;
FORMAT_CODE
-----------
4567
Function:
SQL> create or replace function f_test (par_state in varchar2)
2 return varchar2
3 is
4 retval varchar2(18);
5 begin
6 select 'R' ||'-'|| r.state ||'-'|| r.store_code ||'-'|| r.zone_name ||'-'|| s.format_code
7 into retval
8 from tbl_rrsoc_store_info r cross join tbl_site_store_format s
9 where r.state = par_state;
10
11 return retval;
12 end;
13 /
Function created.
Testing:
SQL> select r.state, f_test(r.state) result
2 from tbl_rrsoc_store_info r;
ST RESULT
-- --------------------
AP R-AP-EAST-SMT-4567
NY R-NY-WEST-XYZ-4567
SQL>
Related
I want to QUERY to generate a table like below:
Tablename||noofrows||noofcolumns||PRIMARKEYCOL(IF ANY for the table)
xyz. 590. 11. xyz_id
bcd. 934 15 null
...
...
So far I was able to do this until now in 2 query:
Query 1:
select a.table_name,count_rows(a.table_name) total_rows,count(b.column_name) total_cols from user_tables a,
,user_tab_columns b
where a.table_name =b.table_name
and a.table_name not like('amp%')
group by a.table_name;
note:Count_rows() is function to calculate rows as stats are not up to date
query 2:
select b.table_name b.column_name PRIMKEY_COL FROM user_constraints a,user_cons_columns b
where
a.constraint_type = 'P'
and a.constraint_name=b.constraint_name
and a.table_name=b.table_name
and b.table_name not like ('amp%');
Problem
I need to merge this table to one query (as shown in example above) so that I can represent the data in one table. My issue in clubbing the table is, with joins and how to make sure table without any primary keys are represent because if I just directly give constraint type ='p' in the where clause of the join I see that it only shows table with Primarykeys I am not able to figure this out.
Primary key can have more than just a single column, so - if you'd want to return them all, you'd either have to "aggregate" them, somehow (listagg looks like a natural choice, but - in 12c - you can't fetch distinct list of columns which you might need because of joining those tables duplicates appear).
As you already use a function to return number of rows (you'd probably rather regularly collect statistics, though, but yes - if tables are frequently modified (inserts and deletes), counting on-the-fly is the way to go.
So, alternative approach with 2 functions and 1 simple query. Yes, I know - context switching and stuff, but - see if it does any good.
This is what you already have (see if your and my code look similar):
SQL> create or replace function count_rows (par_table_name in varchar2)
2 return number
3 is
4 -- return number of rows in PAR_TABLE_NAME
5 retval number;
6 begin
7 execute immediate 'select count(*) from ' ||
8 dbms_assert.sql_object_name(par_table_name) into retval;
9 return retval;
10 end;
11 /
Function created.
This is new (to simplify fetching distinct list of primary key columns):
SQL> create or replace function pk_cols (par_table_name in varchar2)
2 return varchar2
3 is
4 -- return list of primary key columns for PAR_TABLE_NAME, sorted by column's
5 -- position within the primary key constraint
6 retval varchar2(100);
7 begin
8 select listagg(b.column_name, ', ') within group (order by b.position)
9 into retval
10 from user_constraints a join user_cons_columns b on b.constraint_name = a.constraint_name
11 where upper(a.table_name) = dbms_assert.sql_object_name(upper(par_table_name))
12 and a.constraint_type = 'P';
13 return retval;
14 end;
15 /
Function created.
Finally, that simple query I mentioned:
SQL> select a.table_name,
2 count_rows(a.table_name) total_rows,
3 max(a.column_id) total_cols,
4 pk_cols(a.table_name) primkey_cols
5 from user_tab_columns a
6 group by a.table_name;
TABLE_NAME TOTAL_ROWS TOTAL_COLS PRIMKEY_COLS
--------------- ---------- ---------- -------------------------
DEPT 4 3 DEPTNO
SO_TEST 0 1
TEST 7 3 ORD, TERMREGIONAL
EMP 14 8 EMPNO
TRAINING 0 5 TRAINING_PLACE_ID
TEMP_SE 10 3
<snip>
Just join the two queries:
select tab_cols.*, tab_keys.* from
(select a.table_name,count_rows(a.table_name) total_rows,count(b.column_name) total_cols from user_tables a,
,user_tab_columns b
where a.table_name =b.table_name
and a.table_name not like('amp%')
group by a.table_name) tab_cols,
(select b.table_name b.column_name PRIMKEY_COL FROM user_constraints a,user_cons_columns b
where
a.constraint_type = 'P'
and a.constraint_name=b.constraint_name
and a.table_name=b.table_name
and b.table_name not like ('amp%')) tab_keys
where tab_cols.table_name = tab_keys.table_name(+);
I want to get the columns names and datatype and its datatype's length .as example
if there is a table
SQL> create table TestTable(
2 ID VARCHAR2(4) NOT NULL,
3 CODE Number(5),
4 MyDate DATE,
5 MyNumber Number(8,2))
I need something like in some_column to identify separately number(5) is for an integer and number(8,2) is for a desimal value...
I tried this
SELECT column_name, data_type, data_length FROM USER_TAB_COLUMNS WHERE table_name = 'some_table'
but this data_length gives me the length in byte so I can't figure out when there is a case like number(5) ,number(8,2)..what I need is like somthing below
TABLE_NAME COLUMN_NAME DATA_TYPE some_column
------------------------------ ------------------------------ --------------------------
TESTTABLE ID VARCHAR2 4
TESTTABLE MYNAME VARCHAR2 5
TESTTABLE MYDATE DATE -
TESTTABLE MYNUMBER NUMBER 8,2
help?
There are data_precision and data_scale columns there.
Please take a look at this example:
create table qwer(
x number,
y number(8,2),
z number(5,0),
a int,
b decimal(5,3)
);
SELECT column_name, data_type, data_precision, data_scale
FROM USER_TAB_COLUMNS
WHERE Table_name = 'QWER'
;
COLUMN_NAME DATA_TYPE DATA_PRECISION DATA_SCALE
------------- --------- -------------- ----------
B NUMBER 5 3
A NUMBER
X NUMBER
Y NUMBER 8 2
Z NUMBER 5 0
EDIT
To find primary key columns you need to join two dictionary views, please see the below example:
CREATE TABLE pk1(
id int primary key,
name varchar2(10)
);
CREATE TABLE pk2(
id int ,
pk1 number(10,0),
pk2 varchar2(5),
name varchar2(10),
constraint my_composite_pk primary key (id, pk1, pk2 )
);
SELECT c.table_name, cols.column_name, cols.position
FROM user_constraints c
JOIN USER_CONS_COLUMNS cols
USING ( CONSTRAINT_NAME )
WHERE c.table_name IN ('PK1', 'PK2' )
and c.constraint_type = 'P' /* P - means PRIMARY KEY */
ORDER BY 1,3
;
TABLE_NAME COLUMN_NAME POSITION
---------- ----------- ----------
PK1 ID 1
PK2 ID 1
PK2 PK1 2
PK2 PK2 3
If this is only for Geetting information then just Press ALT+F1 on the name of the table this will show you the names of the columns with length and data types.
Why don't you try SELECT * FROM information_schema.columns ?
It has columns "table_schema, table_name, column_name, ordinal_position, is_nullable, data_type, character_maximum_length, character_octet_length, numeric_precision, numeric_scale, datetime_precision", etc.
I have some fields in table1 to update with random values from some fields in table2.
I have to random into rows of table2 and update each rows of table1 with the same rows values of table2.
Here is my SQL code, but it doesn't work.
update owner.table1 t1
set (t1.adress1, t1.zip_code, t1.town) = (select t2.adress, t2.zip_code, t2.town
from table1 t2
where id = trunc(dbms_random.value(1,20000)))
Result: all rows are updated with the same values, like no random on table 2 rows
How about switching to analytic ROW_NUMBER function? It doesn't really create a random value, but might be good enough.
Here's an example: first, create test tables and insert some data:
SQL> create table t1 (id number,address varchar2(20), town varchar2(10));
Table created.
SQL> create table t2 (id number, address varchar2(20), town varchar2(10));
Table created.
SQL> insert into t1
2 select 1, 'Ilica 20', 'Zagreb' from dual union all
3 select 2, 'Petrinjska 30', 'Sisak' from dual union all
4 select 3, 'Stradun 12', 'Dubrovnik' from dual;
3 rows created.
SQL> insert into t2
2 select 1, 'Pavelinska 15', 'Koprivnica' from dual union all
3 select 2, 'Baščaršija 11', 'Sarajevo' from dual union all
4 select 3, 'Riva 22', 'Split' from dual;
3 rows created.
SQL> select * From t1 order by id;
ID ADDRESS TOWN
---------- -------------------- ----------
1 Ilica 20 Zagreb
2 Petrinjska 30 Sisak
3 Stradun 12 Dubrovnik
SQL> select * From t2 order by id;
ID ADDRESS TOWN
---------- -------------------- ----------
1 Pavelinska 15 Koprivnica
2 Baščaršija 11 Sarajevo
3 Riva 22 Split
Update t1 with rows from t2:
SQL> update t1 set
2 (t1.address, t1.town) =
3 (select x.address, x.town
4 from (select row_number() over (order by address) id, t2.address, t2.town
5 from t2
6 ) x
7 where x.id = t1.id);
3 rows updated.
SQL> select * From t1 order by id;
ID ADDRESS TOWN
---------- -------------------- ----------
1 Baščaršija 11 Sarajevo
2 Pavelinska 15 Koprivnica
3 Riva 22 Split
SQL>
I am very new to Oracle; I have written two stored procedures where they have both different parameters. I would like to combine the queries in that two stored procedures into single query in a single stored procedure, and make sure it supports any criteria.
These are the stored procedures:
procedure usp_testsp1(RC1 OUT RCT1,
in_dep_Id IN number,
in_Org_id IN number,
in_emp_no IN number)
is
begin
select emp.Name as name,select emp.phone as phone,select emp.Race as
race
from employee emp
JOIN
Project prj ON
emp.ProjectId=prj.ProjectId
JOIN Project_Org Prorg
ON prj.ProjectId=Prorg.ProjectId
JOIN Organization Org1
ON Prorg.OrgId=Org1.OrgId
JOIN Organization Org2
ON emp.OrgId=Org2.OrgId
AND Org2.OrgType=0
WHERE (upper(emp.emp_No) in (in_emp_No ))
AND Prorg.OrgId=in_Org_id
AND Org2.OrgId=in_dep_Id
end;
procedure usp_testsp2(RC1 OUT RCT1,
in_dep_Id IN number,
in_Org_id IN number,
in_vendor_id IN raw,
in_vendor_startdate IN date,
in_vendor_enddate IN date)
is
begin
OPEN RC1 FOR
select emp.Name as name,select emp.phone as phone,select emp.Race as
race
from
from employee emp
JOIN
Project prj ON
emp.ProjectId=prj.ProjectId
JOIN Project_Org Prorg
ON prj.ProjectId=Prorg.ProjectId
JOIN Organization Org1
ON Prorg.OrgId=Org1.OrgId
JOIN Organization Org2
ON emp.OrgId=Org2.OrgId
AND Org2.OrgType=0
INNER JOIN vendor_Emp
ON emp.employeeid=vendor_emp.employeeid
INNER JOIN Vendor
ON Vendor.VendorId=Vendor_emp.VendorId
WHERE Prorg.OrgId=in_Org_id
AND Org2.OrgId=in_dep_Id
AND Vendor.VendorId=in_vendor_id
AND vendor.StartDate=in_vendor_startdate AND Vendor.EndDate=in_vendor_enddate
end;
My objective is to combine the queries within these two separate procedures into a single query such that if I combine all the parameters, I have in_emp_no, in_vendor_id, in_vendor_startdate, in_vendor_enddate apart from the common parameters any of the parameters can be null and I want to make sure that those things won't affect the rest of the query even though its not null
For ex i have only in_emp_no ='xxxx' and common inputs rest of the params like
in_vendor_id etc is null.
I would like to make my query to work even with single paramter to filter the result set
NOTEWithout using Dynamic SQL
Thanks
BJ
You can make columns in the query behave as optional, as far as your join's go, you may need to play with various combinations to make sure everything works.
Sample Table
create table sqltest (
empid number,
name varchar2(10),
orgid number,
depid number,
vendorid number);
insert into sqltest values(1,'BoB',1,1,21);
insert into sqltest values(2,'Chuck',1,1,21);
insert into sqltest values(3,'Mary',1,2,21);
insert into sqltest values(4,'Jane',1,2,22);
insert into sqltest values(5,'Rick',2,1,22);
insert into sqltest values(6,'Samir',2,6,23);
insert into sqltest values(7,'Kirk',3,6,23);
insert into sqltest values(8,'Alex',3,9,23);
commit;
Sample Proc
create or replace procedure calltest (
rc1 out SYS_REFCURSOR,
pempid number,
porgid number,
pdepid number,
pvendorid number)
is
begin
open rc1 for
select * from sqltest
where
(pempid IS NULL OR empid = pempid) and
(porgid IS NULL OR orgid = porgid) and
(pdepid IS NULL OR depid = pdepid) and
(pvendorid IS NULL OR vendorid = pvendorid);
end;
Sample Call
set autoprint on;
var vcur refcursor;
declare
begin
calltest(rc1=>:vcur,pempid=>NULL,porgid=>1,pdepid=>NULL,pvendorid=>NULL);
--calltest(rc1=>:vcur,pempid=>NULL,porgid=>1,pdepid=>2,pvendorid=>NULL);
--calltest(rc1=>:vcur,pempid=>NULL,porgid=>1,pdepid=>2,pvendorid=>22);
--calltest(rc1=>:vcur,pempid=>NULL,porgid=>NULL,pdepid=>NULL,pvendorid=>23);
end;
Sample Output 1
VCUR
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
EMPID NAME ORGID DEPID VENDORID
--------------------------------------- ---------- --------------------------------------- --------------------------------------- ---------------------------------------
1 BoB 1 1 21
2 Chuck 1 1 21
3 Mary 1 2 21
4 Jane 1 2 22
Sample Output 2
VCUR
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
EMPID NAME ORGID DEPID VENDORID
--------------------------------------- ---------- --------------------------------------- --------------------------------------- ---------------------------------------
3 Mary 1 2 21
4 Jane 1 2 22
Sample Output 3
VCUR
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
EMPID NAME ORGID DEPID VENDORID
--------------------------------------- ---------- --------------------------------------- --------------------------------------- ---------------------------------------
4 Jane 1 2 22
Sample Output 4
VCUR
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
EMPID NAME ORGID DEPID VENDORID
--------------------------------------- ---------- --------------------------------------- --------------------------------------- ---------------------------------------
6 Samir 2 6 23
7 Kirk 3 6 23
8 Alex 3 9 23
With this, I mean Inserting millions of records in tables. I know how to insert data using loops but for inserting millions of data it won't be a good approach.
I have two tables
CREATE TABLE test1
(
col1 NUMBER,
valu VARCHAR2(30),
created_Date DATE,
CONSTRAINT pk_test1 PRIMARY KEY (col1)
)
/
CREATE TABLE test2
(
col2 NUMBER,
fk_col1 NUMBER,
valu VARCHAR2(30),
modified_Date DATE,
CONSTRAINT pk_test2 PRIMARY KEY (col2),
FOREIGN KEY (fk_col1) REFERENCES test1(col1)
)
/
Please suggest a way to insert some dummy records upto 1 million without loops.
As a fairly simplistic approach, which may be enough for you based on your comments, you can generate dummy data using a hierarchical query. Here I'm using bind variables to control how many are created, and to make some of the logic slightly clearer, but you could use literals instead.
First, parent rows:
var parent_rows number;
var avg_children_per_parent number;
exec :parent_rows := 5;
exec :avg_children_per_parent := 3;
-- create dummy parent rows
insert into test1 (col1, valu, created_date)
select level,
dbms_random.string('a', dbms_random.value(1, 30)),
trunc(sysdate) - dbms_random.value(1, 365)
from dual
connect by level <= :parent_rows;
which might generate rows like:
COL1 VALU CREATED_DA
---------- ------------------------------ ----------
1 rYzJBVI 2016-11-14
2 KmSWXfZJ 2017-01-20
3 dFSTvVsYrCqVm 2016-07-19
4 iaHNv 2016-11-08
5 AvAxDiWepPeONGNQYA 2017-01-20
Then child rows, which a random fk_col1 in the range generated for the parent:
-- create dummy child rows
insert into test2 (col2, fk_col1, valu, modified_date)
select level,
round(dbms_random.value(1, :parent_rows)),
dbms_random.string('a', dbms_random.value(1, 30)),
trunc(sysdate) - dbms_random.value(1, 365)
from dual
connect by level <= :parent_rows * :avg_children_per_parent;
which might generate:
select * from test2;
COL2 FK_COL1 VALU MODIFIED_D
---------- ---------- ------------------------------ ----------
1 2 AqRUtekaopFQdCWBSA 2016-06-30
2 4 QEczvejfTrwFw 2016-09-23
3 4 heWMjFshkPZNyNWVQG 2017-02-19
4 4 EYybXtlaFHkAYeknhCBTBMusGAkx 2016-03-18
5 4 ZNdJBQxKKARlnExluZWkHMgoKY 2016-06-21
6 3 meASktCpcuyi 2016-10-01
7 4 FKgmf 2016-09-13
8 3 JZhk 2016-06-01
9 2 VCcKdlLnchrjctJrMXNb 2016-05-01
10 5 ddL 2016-11-27
11 4 wbX 2016-04-20
12 1 bTfa 2016-06-11
13 4 QP 2016-08-25
14 3 RgmIahPL 2016-03-04
15 2 vhinLUmwLwZjczYdrPbQvJxU 2016-12-05
where the number of children varies for each parent:
select fk_col1, count(*) from test2 group by fk_col1 order by fk_col1;
FK_COL1 COUNT(*)
---------- ----------
1 1
2 3
3 3
4 7
5 1
To insert a million rows instead, just change the bind variables.
If you needed more of a relationship between the children and parents, e.g. so the modified date is always after the created date, you can modify the query; for example:
insert into test2 (col2, fk_col1, valu, modified_date)
select *
from (
select level,
round(dbms_random.value(1, :parent_rows)) as fk_col1,
dbms_random.string('a', dbms_random.value(1, 30)),
trunc(sysdate) - dbms_random.value(1, 365) as modified_date
from dual
connect by level <= :parent_rows * :avg_children_per_parent
) t2
where not exists (
select null from test1 t1
where t1.col1 = t2.fk_col1 and t1.created_date > t2.modified_date
);
You may also want non-midnight times (I set everything to midnight via the trunc() call, based on the column name being 'date' not 'datetime'), or some column values null; so this might just be a starting point for you.