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Binary file added 02_activities/assignments/Assignment-Two-ER2.png
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2 changes: 2 additions & 0 deletions 02_activities/assignments/Assignment2.md
Original file line number Diff line number Diff line change
Expand Up @@ -56,7 +56,9 @@ The store wants to keep customer addresses. Propose two architectures for the CU
```
Your answer...
```
The Customer Address table that will retain changes is type 2 SCD where apart from storing the Customer_ID,Customer_Name,Customer_Address_line_1 , Customer_Address_Line_2 ,City, State,Country and Pincode, the table would also have columns to track changes made to the record, such as Customer_Address_Active_Flag, Customer_Addr_Start_Date and Customer_Addr_End_date.

The Customer Address table that will overwrite changes is type 1 SCD where each record will be overwritten with columns such as the Customer_Name,Customer_Address_line_1 , Customer_Address_Line_2 ,City, State,Country and Pincode.The CustomerID column would be the primary key that cannot be overwritten.
***

## Section 2:
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77 changes: 64 additions & 13 deletions 02_activities/assignments/assignment2.sql
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
/* ASSIGNMENT 2 */
/* ASSIGNMENT 2 Sucharitha S*/
/* SECTION 2 */

-- COALESCE
Expand All @@ -20,6 +20,9 @@ The `||` values concatenate the columns into strings.
Edit the appropriate columns -- you're making two edits -- and the NULL rows will be fixed.
All the other rows will remain the same.) */

SELECT
product_name || ', ' ||coalesce (product_size, '')|| ' (' || coalesce(product_qty_type,'unit') || ')'
FROM product;


--Windowed Functions
Expand All @@ -32,18 +35,20 @@ each new market date for each customer, or select only the unique market dates p
(without purchase details) and number those visits.
HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK(). */


select market_date,customer_id, row_number() over (partition by customer_id order by market_Date asc) as market_visit from customer_purchases
order by customer_id;

/* 2. Reverse the numbering of the query from a part so each customer’s most recent visit is labeled 1,
then write another query that uses this one as a subquery (or temp table) and filters the results to
only the customer’s most recent visit. */


select x.customer_id, x.market_Date as recent_market_visit from
(select market_date,customer_id, row_number() over (partition by customer_id order by market_Date desc) as market_visit_count from customer_purchases) x
where x.market_visit_count = 1;

/* 3. Using a COUNT() window function, include a value along with each row of the
customer_purchases table that indicates how many different times that customer has purchased that product_id. */


select *,count() over (partition by customer_id,product_id) as purchased_count from customer_purchases;

-- String manipulations
/* 1. Some product names in the product table have descriptions like "Jar" or "Organic".
Expand All @@ -57,10 +62,13 @@ Remove any trailing or leading whitespaces. Don't just use a case statement for

Hint: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR will help split the column. */


select product_name,
iif(instr(product_name,'-')=0,null,rtrim(ltrim(substr(product_name,INSTR(product_name,'-')+1))))as description
from product;

/* 2. Filter the query to show any product_size value that contain a number with REGEXP. */

select * from product where product_size regexp ( '\d');


-- UNION
Expand All @@ -72,7 +80,15 @@ HINT: There are a possibly a few ways to do this query, but if you're struggling
"best day" and "worst day";
3) Query the second temp table twice, once for the best day, once for the worst day,
with a UNION binding them. */

with sales_rank as (
select x.market_date, x.total_sales,
dense_rank() over (order by x.total_sales asc) as sales_rank_low,
dense_rank() over (order by x.total_sales desc) as sales_rank_high from
(select sum(quantity * cost_to_customer_per_qty) as total_sales, market_date from customer_purchases group by market_date) x
)
select market_date, total_sales from sales_rank where sales_rank_low = 1
UNION
select market_date, total_sales from sales_rank where sales_rank_high = 1;



Expand All @@ -88,7 +104,17 @@ Remember, CROSS JOIN will explode your table rows, so CROSS JOIN should likely b
Think a bit about the row counts: how many distinct vendors, product names are there (x)?
How many customers are there (y).
Before your final group by you should have the product of those two queries (x*y). */

with cr_join_op as
(
select distinct vi.vendor_id, vi.product_id, v.vendor_name, p.product_name, vi.original_price, c.customer_id from
vendor_inventory vi inner join vendor v on
vi.vendor_id = v.vendor_id
inner join product p
on p.product_id = vi.product_id
cross join customer c
)
select vendor_name,product_name,sum(original_price * 5)total_sales from
cr_join_op group by vendor_name,product_name


-- INSERT
Expand All @@ -97,19 +123,26 @@ This table will contain only products where the `product_qty_type = 'unit'`.
It should use all of the columns from the product table, as well as a new column for the `CURRENT_TIMESTAMP`.
Name the timestamp column `snapshot_timestamp`. */

DROP TABLE IF EXISTS temp.product_units;
CREATE TEMP TABLE product_units AS
SELECT * FROM product where product_qty_type = 'unit';

ALTER TABLE temp.product_units
ADD snapshot_timestamp CURRENT_TIMESTAMP;

SELECT * FROM temp.product_units;

/*2. Using `INSERT`, add a new row to the product_units table (with an updated timestamp).
This can be any product you desire (e.g. add another record for Apple Pie). */


INSERT INTO product_units
VALUES(24, 'Sweet Corn', 'Ear',1, 'unit',current_timestamp);

-- DELETE
/* 1. Delete the older record for the whatever product you added.

HINT: If you don't specify a WHERE clause, you are going to have a bad time.*/


delete from product_units where product_id =24;

-- UPDATE
/* 1.We want to add the current_quantity to the product_units table.
Expand All @@ -128,6 +161,24 @@ Finally, make sure you have a WHERE statement to update the right row,
you'll need to use product_units.product_id to refer to the correct row within the product_units table.
When you have all of these components, you can run the update statement. */

ALTER TABLE temp.product_units
ADD current_quantity INT;



WITH product_last_quantity AS (
SELECT
product_id,
COALESCE(quantity, 0) AS quantity
FROM (
SELECT
product_id,
market_date,
quantity,
ROW_NUMBER() OVER (PARTITION BY product_id ORDER BY market_date DESC) AS rn
FROM vendor_inventory
) subquery
WHERE rn = 1
)
UPDATE product_units
SET current_quantity = plq.quantity
FROM product_last_quantity plq
WHERE product_units.product_id = plq.product_id;