Mixing
Most efficient way to query for multiple rows and their specific sub-items (e.g. A `Sale` table and its...
I have the following tables:
Sales Table:
+----+------------+
| ID | Date |
+----+------------+
| 1 | 11/20/2018 |
| 2 | 11/21/2018 |
+----+------------+
Items Table:
+----+------------+----------+-------+----------+
| ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----------+-------+----------+
| 1 | 1 | 5 | 100 | 500 |
| 2 | 1 | 3 | 50 | 150 |
| 3 | 2 | 5 | 60 | 300 |
+----+------------+----------+-------+----------+
Currently, I query for the Sale rows and then run another query for each to retrieve all of its Items after which, I initialize them as objects in my C# Program. My problem is that I frequently run into scenarios where I'm dealing with hundreds of sales at the same time. Because of this, I have to run hundreds of queries as well.
My question is, is there a more efficient way to query for all Sales and their Items or is this it? I thought of trying a query like
SELECT *
FROM items_table
WHERE FK_Sale_ID = '1' OR FK_Sale_ID = '2'
And then manually sorting which Item belonged to which sale for initialization but this query quickly got messy after dealing with more than a few sales. Any ideas?
c# postgresql
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
add a comment |
I have the following tables:
Sales Table:
+----+------------+
| ID | Date |
+----+------------+
| 1 | 11/20/2018 |
| 2 | 11/21/2018 |
+----+------------+
Items Table:
+----+------------+----------+-------+----------+
| ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----------+-------+----------+
| 1 | 1 | 5 | 100 | 500 |
| 2 | 1 | 3 | 50 | 150 |
| 3 | 2 | 5 | 60 | 300 |
+----+------------+----------+-------+----------+
Currently, I query for the Sale rows and then run another query for each to retrieve all of its Items after which, I initialize them as objects in my C# Program. My problem is that I frequently run into scenarios where I'm dealing with hundreds of sales at the same time. Because of this, I have to run hundreds of queries as well.
My question is, is there a more efficient way to query for all Sales and their Items or is this it? I thought of trying a query like
SELECT *
FROM items_table
WHERE FK_Sale_ID = '1' OR FK_Sale_ID = '2'
And then manually sorting which Item belonged to which sale for initialization but this query quickly got messy after dealing with more than a few sales. Any ideas?
c# postgresql
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
2
Why notjointhe tables in query?
– Reniuz
Nov 20 '18 at 10:27
add a comment |
I have the following tables:
Sales Table:
+----+------------+
| ID | Date |
+----+------------+
| 1 | 11/20/2018 |
| 2 | 11/21/2018 |
+----+------------+
Items Table:
+----+------------+----------+-------+----------+
| ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----------+-------+----------+
| 1 | 1 | 5 | 100 | 500 |
| 2 | 1 | 3 | 50 | 150 |
| 3 | 2 | 5 | 60 | 300 |
+----+------------+----------+-------+----------+
Currently, I query for the Sale rows and then run another query for each to retrieve all of its Items after which, I initialize them as objects in my C# Program. My problem is that I frequently run into scenarios where I'm dealing with hundreds of sales at the same time. Because of this, I have to run hundreds of queries as well.
My question is, is there a more efficient way to query for all Sales and their Items or is this it? I thought of trying a query like
SELECT *
FROM items_table
WHERE FK_Sale_ID = '1' OR FK_Sale_ID = '2'
And then manually sorting which Item belonged to which sale for initialization but this query quickly got messy after dealing with more than a few sales. Any ideas?
c# postgresql
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
I have the following tables:
Sales Table:
+----+------------+
| ID | Date |
+----+------------+
| 1 | 11/20/2018 |
| 2 | 11/21/2018 |
+----+------------+
Items Table:
+----+------------+----------+-------+----------+
| ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----------+-------+----------+
| 1 | 1 | 5 | 100 | 500 |
| 2 | 1 | 3 | 50 | 150 |
| 3 | 2 | 5 | 60 | 300 |
+----+------------+----------+-------+----------+
Currently, I query for the Sale rows and then run another query for each to retrieve all of its Items after which, I initialize them as objects in my C# Program. My problem is that I frequently run into scenarios where I'm dealing with hundreds of sales at the same time. Because of this, I have to run hundreds of queries as well.
My question is, is there a more efficient way to query for all Sales and their Items or is this it? I thought of trying a query like
SELECT *
FROM items_table
WHERE FK_Sale_ID = '1' OR FK_Sale_ID = '2'
And then manually sorting which Item belonged to which sale for initialization but this query quickly got messy after dealing with more than a few sales. Any ideas?
c# postgresql
c# postgresql
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
asked Nov 20 '18 at 10:22
Lorenzo AngLorenzo Ang
2402316
2402316
2
Why notjointhe tables in query?
– Reniuz
Nov 20 '18 at 10:27
add a comment |
2
Why notjointhe tables in query?
– Reniuz
Nov 20 '18 at 10:27
2
2
Why not
join the tables in query?– Reniuz
Nov 20 '18 at 10:27
Why not
join the tables in query?– Reniuz
Nov 20 '18 at 10:27
add a comment |
1 Answer
1
active
oldest
votes
You can use join clause to combine multiple tables data in your query:
SELECT *
FROM items_table
JOIN sales_table ON items_table.FK_Sale_ID = sales_table.ID
WHERE sales_table.Date = @somedate
With this query when @somedate = 11/20/2018 you basically will get this data in one go:
+----+------------+----+------------+----------+-------+----------+
| ID | Date | ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----+------------+----------+-------+----------+
| 1 | 11/20/2018 | 1 | 1 | 5 | 100 | 500 |
| 1 | 11/20/2018 | 2 | 1 | 3 | 50 | 150 |
+----+------------+----+------------+----------+-------+----------+
Use SELECT items_table.* to get all fields of items table only
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use join clause to combine multiple tables data in your query:
SELECT *
FROM items_table
JOIN sales_table ON items_table.FK_Sale_ID = sales_table.ID
WHERE sales_table.Date = @somedate
With this query when @somedate = 11/20/2018 you basically will get this data in one go:
+----+------------+----+------------+----------+-------+----------+
| ID | Date | ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----+------------+----------+-------+----------+
| 1 | 11/20/2018 | 1 | 1 | 5 | 100 | 500 |
| 1 | 11/20/2018 | 2 | 1 | 3 | 50 | 150 |
+----+------------+----+------------+----------+-------+----------+
Use SELECT items_table.* to get all fields of items table only
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
add a comment |
You can use join clause to combine multiple tables data in your query:
SELECT *
FROM items_table
JOIN sales_table ON items_table.FK_Sale_ID = sales_table.ID
WHERE sales_table.Date = @somedate
With this query when @somedate = 11/20/2018 you basically will get this data in one go:
+----+------------+----+------------+----------+-------+----------+
| ID | Date | ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----+------------+----------+-------+----------+
| 1 | 11/20/2018 | 1 | 1 | 5 | 100 | 500 |
| 1 | 11/20/2018 | 2 | 1 | 3 | 50 | 150 |
+----+------------+----+------------+----------+-------+----------+
Use SELECT items_table.* to get all fields of items table only
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
add a comment |
You can use join clause to combine multiple tables data in your query:
SELECT *
FROM items_table
JOIN sales_table ON items_table.FK_Sale_ID = sales_table.ID
WHERE sales_table.Date = @somedate
With this query when @somedate = 11/20/2018 you basically will get this data in one go:
+----+------------+----+------------+----------+-------+----------+
| ID | Date | ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----+------------+----------+-------+----------+
| 1 | 11/20/2018 | 1 | 1 | 5 | 100 | 500 |
| 1 | 11/20/2018 | 2 | 1 | 3 | 50 | 150 |
+----+------------+----+------------+----------+-------+----------+
Use SELECT items_table.* to get all fields of items table only
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
You can use join clause to combine multiple tables data in your query:
SELECT *
FROM items_table
JOIN sales_table ON items_table.FK_Sale_ID = sales_table.ID
WHERE sales_table.Date = @somedate
With this query when @somedate = 11/20/2018 you basically will get this data in one go:
+----+------------+----+------------+----------+-------+----------+
| ID | Date | ID | FK_Sale_ID | Quantity | Price | Subtotal |
+----+------------+----+------------+----------+-------+----------+
| 1 | 11/20/2018 | 1 | 1 | 5 | 100 | 500 |
| 1 | 11/20/2018 | 2 | 1 | 3 | 50 | 150 |
+----+------------+----+------------+----------+-------+----------+
Use SELECT items_table.* to get all fields of items table only
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
answered Nov 20 '18 at 10:38
ReniuzReniuz
10.2k13555
10.2k13555
add a comment |
add a comment |
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2
Why not
jointhe tables in query?– Reniuz
Nov 20 '18 at 10:27