Oracle SQL Pivot query not grouping correctly
For each employee in a database, I'm trying to produce a list of the total number of items they have sold which have generated a set amount of profit (if they have sold any), i.e.
+--------------+----------+----------+----------+
| EmployeeName | Product1 | Product2 | Product3 |
+--------------+----------+----------+----------+
| John Smith | 4 | 7 | 1 |
+--------------+----------+----------+----------+
where Product1, Product2 and Product3 represent products with IDs 1, 2 and 3, which happen to have made >x profit.
The solution I have so far is a dynamic pivot where I find the product IDs that have made >x profit, and construct the SELECT and PIVOT clauses using LISTAGG. However, when I run the query on a test dataset, the vast majority of the output consists of empty fields under the Productn columns, and each employee has many entries that aren't grouped together.
I think this is because the input to the pivot is not being filtered to remove products which haven't made >x, but I don't know how I can filter it whilst still using the pivot, since I can't use GROUP BY/HAVING or WHERE.
The query I have so far is:
SELECT FName || '' '' || LName AS EmployeeName, ' || selectClause || ' FROM STAFF_ORDERS
INNER JOIN STAFF ON STAFF_ORDERS.StaffID = STAFF.StaffID
INNER JOIN STAFF_EXP_TOTALS ON STAFF_EXP_TOTALS.StaffID = STAFF_ORDERS.StaffID
INNER JOIN ORDER_PRODUCTS ON STAFF_ORDERS.OrderID = ORDER_PRODUCTS.OrderID
PIVOT (SUM(ProductQuantity) FOR ProductID IN ('|| pivotClause || ')) ORDER BY TotalValueSold DESC
A section of the current output looks like this:
If anyone knows how I can fix the query, or a better way to approach this, that would be a great help. If you need more information, let me know and I'll provide it.
Thanks,
James
sql oracle pivot oracle12c
add a comment |
For each employee in a database, I'm trying to produce a list of the total number of items they have sold which have generated a set amount of profit (if they have sold any), i.e.
+--------------+----------+----------+----------+
| EmployeeName | Product1 | Product2 | Product3 |
+--------------+----------+----------+----------+
| John Smith | 4 | 7 | 1 |
+--------------+----------+----------+----------+
where Product1, Product2 and Product3 represent products with IDs 1, 2 and 3, which happen to have made >x profit.
The solution I have so far is a dynamic pivot where I find the product IDs that have made >x profit, and construct the SELECT and PIVOT clauses using LISTAGG. However, when I run the query on a test dataset, the vast majority of the output consists of empty fields under the Productn columns, and each employee has many entries that aren't grouped together.
I think this is because the input to the pivot is not being filtered to remove products which haven't made >x, but I don't know how I can filter it whilst still using the pivot, since I can't use GROUP BY/HAVING or WHERE.
The query I have so far is:
SELECT FName || '' '' || LName AS EmployeeName, ' || selectClause || ' FROM STAFF_ORDERS
INNER JOIN STAFF ON STAFF_ORDERS.StaffID = STAFF.StaffID
INNER JOIN STAFF_EXP_TOTALS ON STAFF_EXP_TOTALS.StaffID = STAFF_ORDERS.StaffID
INNER JOIN ORDER_PRODUCTS ON STAFF_ORDERS.OrderID = ORDER_PRODUCTS.OrderID
PIVOT (SUM(ProductQuantity) FOR ProductID IN ('|| pivotClause || ')) ORDER BY TotalValueSold DESC
A section of the current output looks like this:
If anyone knows how I can fix the query, or a better way to approach this, that would be a great help. If you need more information, let me know and I'll provide it.
Thanks,
James
sql oracle pivot oracle12c
add a comment |
For each employee in a database, I'm trying to produce a list of the total number of items they have sold which have generated a set amount of profit (if they have sold any), i.e.
+--------------+----------+----------+----------+
| EmployeeName | Product1 | Product2 | Product3 |
+--------------+----------+----------+----------+
| John Smith | 4 | 7 | 1 |
+--------------+----------+----------+----------+
where Product1, Product2 and Product3 represent products with IDs 1, 2 and 3, which happen to have made >x profit.
The solution I have so far is a dynamic pivot where I find the product IDs that have made >x profit, and construct the SELECT and PIVOT clauses using LISTAGG. However, when I run the query on a test dataset, the vast majority of the output consists of empty fields under the Productn columns, and each employee has many entries that aren't grouped together.
I think this is because the input to the pivot is not being filtered to remove products which haven't made >x, but I don't know how I can filter it whilst still using the pivot, since I can't use GROUP BY/HAVING or WHERE.
The query I have so far is:
SELECT FName || '' '' || LName AS EmployeeName, ' || selectClause || ' FROM STAFF_ORDERS
INNER JOIN STAFF ON STAFF_ORDERS.StaffID = STAFF.StaffID
INNER JOIN STAFF_EXP_TOTALS ON STAFF_EXP_TOTALS.StaffID = STAFF_ORDERS.StaffID
INNER JOIN ORDER_PRODUCTS ON STAFF_ORDERS.OrderID = ORDER_PRODUCTS.OrderID
PIVOT (SUM(ProductQuantity) FOR ProductID IN ('|| pivotClause || ')) ORDER BY TotalValueSold DESC
A section of the current output looks like this:
If anyone knows how I can fix the query, or a better way to approach this, that would be a great help. If you need more information, let me know and I'll provide it.
Thanks,
James
sql oracle pivot oracle12c
For each employee in a database, I'm trying to produce a list of the total number of items they have sold which have generated a set amount of profit (if they have sold any), i.e.
+--------------+----------+----------+----------+
| EmployeeName | Product1 | Product2 | Product3 |
+--------------+----------+----------+----------+
| John Smith | 4 | 7 | 1 |
+--------------+----------+----------+----------+
where Product1, Product2 and Product3 represent products with IDs 1, 2 and 3, which happen to have made >x profit.
The solution I have so far is a dynamic pivot where I find the product IDs that have made >x profit, and construct the SELECT and PIVOT clauses using LISTAGG. However, when I run the query on a test dataset, the vast majority of the output consists of empty fields under the Productn columns, and each employee has many entries that aren't grouped together.
I think this is because the input to the pivot is not being filtered to remove products which haven't made >x, but I don't know how I can filter it whilst still using the pivot, since I can't use GROUP BY/HAVING or WHERE.
The query I have so far is:
SELECT FName || '' '' || LName AS EmployeeName, ' || selectClause || ' FROM STAFF_ORDERS
INNER JOIN STAFF ON STAFF_ORDERS.StaffID = STAFF.StaffID
INNER JOIN STAFF_EXP_TOTALS ON STAFF_EXP_TOTALS.StaffID = STAFF_ORDERS.StaffID
INNER JOIN ORDER_PRODUCTS ON STAFF_ORDERS.OrderID = ORDER_PRODUCTS.OrderID
PIVOT (SUM(ProductQuantity) FOR ProductID IN ('|| pivotClause || ')) ORDER BY TotalValueSold DESC
A section of the current output looks like this:
If anyone knows how I can fix the query, or a better way to approach this, that would be a great help. If you need more information, let me know and I'll provide it.
Thanks,
James
sql oracle pivot oracle12c
sql oracle pivot oracle12c
asked Nov 23 '18 at 21:14
jamerstjamerst
182
182
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
For the following queries, a simplified STAFF_ORDERS table and the (sample) HR.EMPLOYEES table have been used (Oracle 12c). Principle: join all required tables, pivot, and filter. Maybe this example will help you -
Test tables and data
create table staff_orders (
id number primary key
, employee_id number
, product_code varchar2( 5 )
, quantity number
);
insert into staff_orders values ( 1, 101, 'A', 10);
insert into staff_orders values ( 2, 101, 'B', 20);
insert into staff_orders values ( 3, 101, 'C', 30);
insert into staff_orders values ( 4, 102, 'A', 40);
insert into staff_orders values ( 5, 102, 'C', 50);
insert into staff_orders values ( 6, 103, 'A', 60);
insert into staff_orders values ( 7, 103, 'B', 70);
insert into staff_orders values ( 8, 103, 'C', 80);
insert into staff_orders values ( 9, 103, 'D', 90);
insert into staff_orders values (10, 104, 'A', 100);
insert into staff_orders values (11, 101, 'A', 10);
insert into staff_orders values (12, 101, 'B', 20);
insert into staff_orders values (13, 101, 'C', 30);
insert into staff_orders values (14, 102, 'A', 40);
insert into staff_orders values (15, 102, 'C', 50);
insert into staff_orders values (16, 103, 'A', 60);
insert into staff_orders values (17, 103, 'B', 70);
insert into staff_orders values (18, 103, 'C', 80);
insert into staff_orders values (19, 103, 'D', 90);
insert into staff_orders values (20, 104, 'A', 100);
commit;
Table STAFF_ORDERS
select * from staff_orders;
ID EMPLOYEE_ID PRODU QUANTITY
---------- ----------- ----- ----------
1 101 A 10
2 101 B 20
3 101 C 30
4 102 A 40
5 102 C 50
6 103 A 60
7 103 B 70
8 103 C 80
9 103 D 90
10 104 A 100
-- etc...
Table HR.EMPLOYEES
select employee_id, first_name, last_name
from hr.employees
where employee_id in ( 101, 102, 103, 104 ) ;
EMPLOYEE_ID FIRST_NAME LAST_NAME
102 Lex De Haan
104 Bruce Ernst
103 Alexander Hunold
101 Neena Kochhar
Join the tables and adjust the column(s) as required.
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id ;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_CODE QUANTITY
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
102 Lex De Haan C 50
-- ...
103 Alexander Hunold C 80
103 Alexander Hunold B 70
103 Alexander Hunold A 60
104 Bruce Ernst A 100
104 Bruce Ernst A 100
Pivot -> sum of quantities.
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
102 Lex De Haan 80 NULL 100
103 Alexander Hunold 120 140 160
101 Neena Kochhar 20 40 60
Filter: product total > 100 (add a WHERE clause to the previous query).
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
where product_a_total > 100
or product_b_total > 100 -- use AND here if need be
or product_c_total > 100 -- use AND here if need be
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
103 Alexander Hunold 120 140 160
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
add a comment |
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1 Answer
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oldest
votes
For the following queries, a simplified STAFF_ORDERS table and the (sample) HR.EMPLOYEES table have been used (Oracle 12c). Principle: join all required tables, pivot, and filter. Maybe this example will help you -
Test tables and data
create table staff_orders (
id number primary key
, employee_id number
, product_code varchar2( 5 )
, quantity number
);
insert into staff_orders values ( 1, 101, 'A', 10);
insert into staff_orders values ( 2, 101, 'B', 20);
insert into staff_orders values ( 3, 101, 'C', 30);
insert into staff_orders values ( 4, 102, 'A', 40);
insert into staff_orders values ( 5, 102, 'C', 50);
insert into staff_orders values ( 6, 103, 'A', 60);
insert into staff_orders values ( 7, 103, 'B', 70);
insert into staff_orders values ( 8, 103, 'C', 80);
insert into staff_orders values ( 9, 103, 'D', 90);
insert into staff_orders values (10, 104, 'A', 100);
insert into staff_orders values (11, 101, 'A', 10);
insert into staff_orders values (12, 101, 'B', 20);
insert into staff_orders values (13, 101, 'C', 30);
insert into staff_orders values (14, 102, 'A', 40);
insert into staff_orders values (15, 102, 'C', 50);
insert into staff_orders values (16, 103, 'A', 60);
insert into staff_orders values (17, 103, 'B', 70);
insert into staff_orders values (18, 103, 'C', 80);
insert into staff_orders values (19, 103, 'D', 90);
insert into staff_orders values (20, 104, 'A', 100);
commit;
Table STAFF_ORDERS
select * from staff_orders;
ID EMPLOYEE_ID PRODU QUANTITY
---------- ----------- ----- ----------
1 101 A 10
2 101 B 20
3 101 C 30
4 102 A 40
5 102 C 50
6 103 A 60
7 103 B 70
8 103 C 80
9 103 D 90
10 104 A 100
-- etc...
Table HR.EMPLOYEES
select employee_id, first_name, last_name
from hr.employees
where employee_id in ( 101, 102, 103, 104 ) ;
EMPLOYEE_ID FIRST_NAME LAST_NAME
102 Lex De Haan
104 Bruce Ernst
103 Alexander Hunold
101 Neena Kochhar
Join the tables and adjust the column(s) as required.
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id ;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_CODE QUANTITY
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
102 Lex De Haan C 50
-- ...
103 Alexander Hunold C 80
103 Alexander Hunold B 70
103 Alexander Hunold A 60
104 Bruce Ernst A 100
104 Bruce Ernst A 100
Pivot -> sum of quantities.
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
102 Lex De Haan 80 NULL 100
103 Alexander Hunold 120 140 160
101 Neena Kochhar 20 40 60
Filter: product total > 100 (add a WHERE clause to the previous query).
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
where product_a_total > 100
or product_b_total > 100 -- use AND here if need be
or product_c_total > 100 -- use AND here if need be
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
103 Alexander Hunold 120 140 160
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
add a comment |
For the following queries, a simplified STAFF_ORDERS table and the (sample) HR.EMPLOYEES table have been used (Oracle 12c). Principle: join all required tables, pivot, and filter. Maybe this example will help you -
Test tables and data
create table staff_orders (
id number primary key
, employee_id number
, product_code varchar2( 5 )
, quantity number
);
insert into staff_orders values ( 1, 101, 'A', 10);
insert into staff_orders values ( 2, 101, 'B', 20);
insert into staff_orders values ( 3, 101, 'C', 30);
insert into staff_orders values ( 4, 102, 'A', 40);
insert into staff_orders values ( 5, 102, 'C', 50);
insert into staff_orders values ( 6, 103, 'A', 60);
insert into staff_orders values ( 7, 103, 'B', 70);
insert into staff_orders values ( 8, 103, 'C', 80);
insert into staff_orders values ( 9, 103, 'D', 90);
insert into staff_orders values (10, 104, 'A', 100);
insert into staff_orders values (11, 101, 'A', 10);
insert into staff_orders values (12, 101, 'B', 20);
insert into staff_orders values (13, 101, 'C', 30);
insert into staff_orders values (14, 102, 'A', 40);
insert into staff_orders values (15, 102, 'C', 50);
insert into staff_orders values (16, 103, 'A', 60);
insert into staff_orders values (17, 103, 'B', 70);
insert into staff_orders values (18, 103, 'C', 80);
insert into staff_orders values (19, 103, 'D', 90);
insert into staff_orders values (20, 104, 'A', 100);
commit;
Table STAFF_ORDERS
select * from staff_orders;
ID EMPLOYEE_ID PRODU QUANTITY
---------- ----------- ----- ----------
1 101 A 10
2 101 B 20
3 101 C 30
4 102 A 40
5 102 C 50
6 103 A 60
7 103 B 70
8 103 C 80
9 103 D 90
10 104 A 100
-- etc...
Table HR.EMPLOYEES
select employee_id, first_name, last_name
from hr.employees
where employee_id in ( 101, 102, 103, 104 ) ;
EMPLOYEE_ID FIRST_NAME LAST_NAME
102 Lex De Haan
104 Bruce Ernst
103 Alexander Hunold
101 Neena Kochhar
Join the tables and adjust the column(s) as required.
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id ;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_CODE QUANTITY
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
102 Lex De Haan C 50
-- ...
103 Alexander Hunold C 80
103 Alexander Hunold B 70
103 Alexander Hunold A 60
104 Bruce Ernst A 100
104 Bruce Ernst A 100
Pivot -> sum of quantities.
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
102 Lex De Haan 80 NULL 100
103 Alexander Hunold 120 140 160
101 Neena Kochhar 20 40 60
Filter: product total > 100 (add a WHERE clause to the previous query).
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
where product_a_total > 100
or product_b_total > 100 -- use AND here if need be
or product_c_total > 100 -- use AND here if need be
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
103 Alexander Hunold 120 140 160
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
add a comment |
For the following queries, a simplified STAFF_ORDERS table and the (sample) HR.EMPLOYEES table have been used (Oracle 12c). Principle: join all required tables, pivot, and filter. Maybe this example will help you -
Test tables and data
create table staff_orders (
id number primary key
, employee_id number
, product_code varchar2( 5 )
, quantity number
);
insert into staff_orders values ( 1, 101, 'A', 10);
insert into staff_orders values ( 2, 101, 'B', 20);
insert into staff_orders values ( 3, 101, 'C', 30);
insert into staff_orders values ( 4, 102, 'A', 40);
insert into staff_orders values ( 5, 102, 'C', 50);
insert into staff_orders values ( 6, 103, 'A', 60);
insert into staff_orders values ( 7, 103, 'B', 70);
insert into staff_orders values ( 8, 103, 'C', 80);
insert into staff_orders values ( 9, 103, 'D', 90);
insert into staff_orders values (10, 104, 'A', 100);
insert into staff_orders values (11, 101, 'A', 10);
insert into staff_orders values (12, 101, 'B', 20);
insert into staff_orders values (13, 101, 'C', 30);
insert into staff_orders values (14, 102, 'A', 40);
insert into staff_orders values (15, 102, 'C', 50);
insert into staff_orders values (16, 103, 'A', 60);
insert into staff_orders values (17, 103, 'B', 70);
insert into staff_orders values (18, 103, 'C', 80);
insert into staff_orders values (19, 103, 'D', 90);
insert into staff_orders values (20, 104, 'A', 100);
commit;
Table STAFF_ORDERS
select * from staff_orders;
ID EMPLOYEE_ID PRODU QUANTITY
---------- ----------- ----- ----------
1 101 A 10
2 101 B 20
3 101 C 30
4 102 A 40
5 102 C 50
6 103 A 60
7 103 B 70
8 103 C 80
9 103 D 90
10 104 A 100
-- etc...
Table HR.EMPLOYEES
select employee_id, first_name, last_name
from hr.employees
where employee_id in ( 101, 102, 103, 104 ) ;
EMPLOYEE_ID FIRST_NAME LAST_NAME
102 Lex De Haan
104 Bruce Ernst
103 Alexander Hunold
101 Neena Kochhar
Join the tables and adjust the column(s) as required.
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id ;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_CODE QUANTITY
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
102 Lex De Haan C 50
-- ...
103 Alexander Hunold C 80
103 Alexander Hunold B 70
103 Alexander Hunold A 60
104 Bruce Ernst A 100
104 Bruce Ernst A 100
Pivot -> sum of quantities.
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
102 Lex De Haan 80 NULL 100
103 Alexander Hunold 120 140 160
101 Neena Kochhar 20 40 60
Filter: product total > 100 (add a WHERE clause to the previous query).
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
where product_a_total > 100
or product_b_total > 100 -- use AND here if need be
or product_c_total > 100 -- use AND here if need be
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
103 Alexander Hunold 120 140 160
For the following queries, a simplified STAFF_ORDERS table and the (sample) HR.EMPLOYEES table have been used (Oracle 12c). Principle: join all required tables, pivot, and filter. Maybe this example will help you -
Test tables and data
create table staff_orders (
id number primary key
, employee_id number
, product_code varchar2( 5 )
, quantity number
);
insert into staff_orders values ( 1, 101, 'A', 10);
insert into staff_orders values ( 2, 101, 'B', 20);
insert into staff_orders values ( 3, 101, 'C', 30);
insert into staff_orders values ( 4, 102, 'A', 40);
insert into staff_orders values ( 5, 102, 'C', 50);
insert into staff_orders values ( 6, 103, 'A', 60);
insert into staff_orders values ( 7, 103, 'B', 70);
insert into staff_orders values ( 8, 103, 'C', 80);
insert into staff_orders values ( 9, 103, 'D', 90);
insert into staff_orders values (10, 104, 'A', 100);
insert into staff_orders values (11, 101, 'A', 10);
insert into staff_orders values (12, 101, 'B', 20);
insert into staff_orders values (13, 101, 'C', 30);
insert into staff_orders values (14, 102, 'A', 40);
insert into staff_orders values (15, 102, 'C', 50);
insert into staff_orders values (16, 103, 'A', 60);
insert into staff_orders values (17, 103, 'B', 70);
insert into staff_orders values (18, 103, 'C', 80);
insert into staff_orders values (19, 103, 'D', 90);
insert into staff_orders values (20, 104, 'A', 100);
commit;
Table STAFF_ORDERS
select * from staff_orders;
ID EMPLOYEE_ID PRODU QUANTITY
---------- ----------- ----- ----------
1 101 A 10
2 101 B 20
3 101 C 30
4 102 A 40
5 102 C 50
6 103 A 60
7 103 B 70
8 103 C 80
9 103 D 90
10 104 A 100
-- etc...
Table HR.EMPLOYEES
select employee_id, first_name, last_name
from hr.employees
where employee_id in ( 101, 102, 103, 104 ) ;
EMPLOYEE_ID FIRST_NAME LAST_NAME
102 Lex De Haan
104 Bruce Ernst
103 Alexander Hunold
101 Neena Kochhar
Join the tables and adjust the column(s) as required.
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id ;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_CODE QUANTITY
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
101 Neena Kochhar C 30
101 Neena Kochhar B 20
101 Neena Kochhar A 10
102 Lex De Haan C 50
-- ...
103 Alexander Hunold C 80
103 Alexander Hunold B 70
103 Alexander Hunold A 60
104 Bruce Ernst A 100
104 Bruce Ernst A 100
Pivot -> sum of quantities.
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
102 Lex De Haan 80 NULL 100
103 Alexander Hunold 120 140 160
101 Neena Kochhar 20 40 60
Filter: product total > 100 (add a WHERE clause to the previous query).
select *
from (
select
E.employee_id
, E.first_name || ' ' || E.last_name as employee_name
, O.product_code
, O.quantity
from hr.employees E
join staff_orders O on E.employee_id = O.employee_id
)
pivot (
sum( quantity ) as total for ( product_code ) in (
'A' AS product_a
, 'B' AS product_b
, 'C' AS product_c
)
)
where product_a_total > 100
or product_b_total > 100 -- use AND here if need be
or product_c_total > 100 -- use AND here if need be
;
EMPLOYEE_ID EMPLOYEE_NAME PRODUCT_A_TOTAL PRODUCT_B_TOTAL PRODUCT_C_TOTAL
104 Bruce Ernst 200 NULL NULL
103 Alexander Hunold 120 140 160
edited Nov 24 '18 at 12:26
answered Nov 24 '18 at 11:00
stefanstefan
87646
87646
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
add a comment |
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
Thanks for the reply, but I already managed to fix it by filtering out the unnecessary columns, and it's now grouping correctly.
– jamerst
Nov 24 '18 at 15:18
add a comment |
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