Analytic Functions - Filtering¶
Let us go through the solution for getting top 5 daily products based up on the revenue. In that process we will understand how to apply filtering on top of the derived values using analytic functions.
%load_ext sql
The sql extension is already loaded. To reload it, use:
%reload_ext sql
%env DATABASE_URL=postgresql://itversity_retail_user:retail_password@localhost:5432/itversity_retail_db
env: DATABASE_URL=postgresql://itversity_retail_user:retail_password@localhost:5432/itversity_retail_db
Order of execution of SQL¶
Let us review the order of execution of SQL. First let us review the order of writing the query.
SELECT
FROM
JOIN or OUTER JOIN with ON
WHERE
GROUP BY and optionally HAVING
ORDER BY
Let us come up with a query which will compute daily revenue using COMPLETE or CLOSED orders and also sorted by order_date.
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
GROUP BY o.order_date
ORDER BY o.order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | revenue |
---|---|
2013-07-25 00:00:00 | 31547.23 |
2013-07-26 00:00:00 | 54713.23 |
2013-07-27 00:00:00 | 48411.48 |
2013-07-28 00:00:00 | 35672.03 |
2013-07-29 00:00:00 | 54579.70 |
2013-07-30 00:00:00 | 49329.29 |
2013-07-31 00:00:00 | 59212.49 |
2013-08-01 00:00:00 | 49160.08 |
2013-08-02 00:00:00 | 50688.58 |
2013-08-03 00:00:00 | 43416.74 |
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
GROUP BY o.order_date
HAVING round(sum(oi.order_item_subtotal)::numeric, 2) >= 50000
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | revenue |
---|---|
2013-07-26 00:00:00 | 54713.23 |
2013-07-29 00:00:00 | 54579.70 |
2013-07-31 00:00:00 | 59212.49 |
2013-08-02 00:00:00 | 50688.58 |
2013-08-06 00:00:00 | 57843.89 |
2013-08-12 00:00:00 | 59014.74 |
2013-08-17 00:00:00 | 63226.83 |
2013-08-24 00:00:00 | 52650.15 |
2013-09-05 00:00:00 | 59942.43 |
2013-09-06 00:00:00 | 61976.10 |
However order of execution is typically as follows.
FROM
JOIN or OUTER JOIN with ON
WHERE
GROUP BY and optionally HAVING
SELECT
ORDER BY
As SELECT is executed before ORDER BY clause, we will not be able to refer the aliases defined in SELECT caluse in other clauses except for ORDER BY in most of the traditional databases including Postgresql.
Error
This will fail as revenue which is an alias defined in SELECT cannot be used in WHERE.
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
AND revenue >= 50000
GROUP BY o.order_date
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
(psycopg2.errors.UndefinedColumn) column "revenue" does not exist
LINE 5: AND revenue >= 50000
^
[SQL: SELECT o.order_date, round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
AND revenue >= 50000
GROUP BY o.order_date
ORDER BY order_date
LIMIT 10]
(Background on this error at: http://sqlalche.me/e/13/f405)
Note
This will also fail as we cannot use aggregate functions in WHERE
clause.
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
AND round(sum(oi.order_item_subtotal)::numeric, 2) >= 50000
GROUP BY o.order_date
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
(psycopg2.errors.GroupingError) aggregate functions are not allowed in WHERE
LINE 5: AND round(sum(oi.order_item_subtotal)::numeric, 2) >= 50...
^
[SQL: SELECT o.order_date, round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
AND round(sum(oi.order_item_subtotal)::numeric, 2) >= 50000
GROUP BY o.order_date
ORDER BY order_date
LIMIT 10]
(Background on this error at: http://sqlalche.me/e/13/f405)
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
GROUP BY o.order_date
ORDER BY order_date,
revenue DESC
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | revenue |
---|---|
2013-07-25 00:00:00 | 31547.23 |
2013-07-26 00:00:00 | 54713.23 |
2013-07-27 00:00:00 | 48411.48 |
2013-07-28 00:00:00 | 35672.03 |
2013-07-29 00:00:00 | 54579.70 |
2013-07-30 00:00:00 | 49329.29 |
2013-07-31 00:00:00 | 59212.49 |
2013-08-01 00:00:00 | 49160.08 |
2013-08-02 00:00:00 | 50688.58 |
2013-08-03 00:00:00 | 43416.74 |
%%sql
SELECT o.order_date,
round(sum(oi.order_item_subtotal)::numeric, 2) AS revenue
FROM orders o JOIN order_items oi
ON o.order_id = oi.order_item_order_id
WHERE o.order_status IN ('COMPLETE', 'CLOSED')
GROUP BY o.order_date
HAVING round(sum(oi.order_item_subtotal)::numeric, 2) >= 50000
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | revenue |
---|---|
2013-07-26 00:00:00 | 54713.23 |
2013-07-29 00:00:00 | 54579.70 |
2013-07-31 00:00:00 | 59212.49 |
2013-08-02 00:00:00 | 50688.58 |
2013-08-06 00:00:00 | 57843.89 |
2013-08-12 00:00:00 | 59014.74 |
2013-08-17 00:00:00 | 63226.83 |
2013-08-24 00:00:00 | 52650.15 |
2013-09-05 00:00:00 | 59942.43 |
2013-09-06 00:00:00 | 61976.10 |
Error
This one will also fail as we are trying to use alias drnk
from SELECT
clause in WHERE
clause.
%%sql
SELECT t.*,
dense_rank() OVER (
PARTITION BY order_date
ORDER BY revenue DESC
) AS drnk
FROM daily_product_revenue t
WHERE drnk <= 5
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
(psycopg2.errors.UndefinedColumn) column "drnk" does not exist
LINE 6: WHERE drnk <= 5
^
[SQL: SELECT t.*, dense_rank() OVER (
PARTITION BY order_date
ORDER BY revenue DESC
) AS drnk
FROM daily_product_revenue t
WHERE drnk <= 5]
(Background on this error at: http://sqlalche.me/e/13/f405)
Overview of Sub Queries¶
Let us recap about Sub Queries.
We typically have Sub Queries in FROM Clause.
We need to provide alias to the Sub Queries in FROM Clause in Postgresql.
We use sub queries quite often over queries using Analytics/Windowing Functions
%%sql
SELECT * FROM (SELECT current_date) AS q
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
1 rows affected.
current_date |
---|
2020-12-01 |
Let us see few more examples with respect to Sub Queries.
%%sql
SELECT * FROM (
SELECT order_date, count(1) AS order_count
FROM orders
GROUP BY order_date
) AS q
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | order_count |
---|---|
2013-07-25 00:00:00 | 143 |
2013-07-26 00:00:00 | 269 |
2013-07-27 00:00:00 | 202 |
2013-07-28 00:00:00 | 187 |
2013-07-29 00:00:00 | 253 |
2013-07-30 00:00:00 | 227 |
2013-07-31 00:00:00 | 252 |
2013-08-01 00:00:00 | 246 |
2013-08-02 00:00:00 | 224 |
2013-08-03 00:00:00 | 183 |
%%sql
SELECT * FROM (
SELECT order_date, count(1) AS order_count
FROM orders
GROUP BY order_date
) q
WHERE q.order_count > 150
ORDER BY order_date
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | order_count |
---|---|
2013-07-26 00:00:00 | 269 |
2013-07-27 00:00:00 | 202 |
2013-07-28 00:00:00 | 187 |
2013-07-29 00:00:00 | 253 |
2013-07-30 00:00:00 | 227 |
2013-07-31 00:00:00 | 252 |
2013-08-01 00:00:00 | 246 |
2013-08-02 00:00:00 | 224 |
2013-08-03 00:00:00 | 183 |
2013-08-04 00:00:00 | 187 |
Note
Above query is an example for sub queries. We can achieve using HAVING clause (no need to have sub query to filter)
Filtering - Analytic Function Results¶
Let us understand how to filter on top of results of Analytic Functions.
We can use Analytic Functions only in SELECT Clause.
If we have to filter based on Analytic Function results, then we need to use Sub Queries.
Once the query is added as subquery, we can apply filter using aliases of the Analytic Functions.
Here is the example where we can filter data based on Analytic Functions.
%%sql
SELECT t.*,
dense_rank() OVER (
PARTITION BY order_date
ORDER BY revenue DESC
) AS drnk
FROM daily_product_revenue t
WHERE drnk <= 5
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
(psycopg2.errors.UndefinedColumn) column "drnk" does not exist
LINE 6: WHERE drnk <= 5
^
[SQL: SELECT t.*, dense_rank() OVER (
PARTITION BY order_date
ORDER BY revenue DESC
) AS drnk
FROM daily_product_revenue t
WHERE drnk <= 5]
(Background on this error at: http://sqlalche.me/e/13/f405)
%%sql
SELECT * FROM (
SELECT t.*,
dense_rank() OVER (
PARTITION BY order_date
ORDER BY revenue DESC
) AS drnk
FROM daily_product_revenue t
) q
WHERE q.drnk <= 5
ORDER BY q.order_date, q.revenue DESC
LIMIT 10
* postgresql://itversity_retail_user:***@localhost:5432/itversity_retail_db
10 rows affected.
order_date | order_item_product_id | revenue | drnk |
---|---|---|---|
2013-07-25 00:00:00 | 1004 | 5599.72 | 1 |
2013-07-25 00:00:00 | 191 | 5099.49 | 2 |
2013-07-25 00:00:00 | 957 | 4499.70 | 3 |
2013-07-25 00:00:00 | 365 | 3359.44 | 4 |
2013-07-25 00:00:00 | 1073 | 2999.85 | 5 |
2013-07-26 00:00:00 | 1004 | 10799.46 | 1 |
2013-07-26 00:00:00 | 365 | 7978.67 | 2 |
2013-07-26 00:00:00 | 957 | 6899.54 | 3 |
2013-07-26 00:00:00 | 191 | 6799.32 | 4 |
2013-07-26 00:00:00 | 1014 | 4798.08 | 5 |