diff --git a/02_activities/assignments/Assignment-two.md b/02_activities/assignments/Assignment-two.md
new file mode 100644
index 000000000..108560be2
--- /dev/null
+++ b/02_activities/assignments/Assignment-two.md
@@ -0,0 +1,295 @@
+# Assignment 2: Design a Logical Model and Advanced SQL
+
+🚨 **Please review our [Assignment Submission Guide](https://github.com/UofT-DSI/onboarding/blob/main/onboarding_documents/submissions.md)** 🚨 for detailed instructions on how to format, branch, and submit your work. Following these guidelines is crucial for your submissions to be evaluated correctly.
+
+#### Submission Parameters:
+* Submission Due Date: `August 17, 2025`
+* Weight: 70% of total grade
+* The branch name for your repo should be: `assignment-two`
+* What to submit for this assignment:
+    * This markdown (Assignment2.md) with written responses in Section 1
+    * Two Entity-Relationship Diagrams (preferably in a pdf, jpeg, png format).
+    * One .sql file 
+* What the pull request link should look like for this assignment: `https://github.com/<your_github_username>/sql/pulls/<pr_id>`
+    * Open a private window in your browser. Copy and paste the link to your pull request into the address bar. Make sure you can see your pull request properly. This helps the technical facilitator and learning support staff review your submission easily.
+
+Checklist:
+- [ ] Create a branch called `assignment-two`.
+- [ ] Ensure that the repository is public.
+- [ ] Review [the PR description guidelines](https://github.com/UofT-DSI/onboarding/blob/main/onboarding_documents/submissions.md#guidelines-for-pull-request-descriptions) and adhere to them.
+- [ ] Verify that the link is accessible in a private browser window.
+
+If you encounter any difficulties or have questions, please don't hesitate to reach out to our team via our Slack at `#cohort-6-help`. Our Technical Facilitators and Learning Support staff are here to help you navigate any challenges.
+
+***
+
+## Section 1:
+You can start this section following *session 1*, but you may want to wait until you feel comfortable wtih basic SQL query writing. 
+
+Steps to complete this part of the assignment:
+- Design a logical data model
+- Duplicate the logical data model and add another table to it following the instructions
+- Write, within this markdown file, an answer to Prompt 3
+
+
+###  Design a Logical Model
+
+#### Prompt 1
+Design a logical model for a small bookstore. 📚
+
+At the minimum it should have employee, order, sales, customer, and book entities (tables). Determine sensible column and table design based on what you know about these concepts. Keep it simple, but work out sensible relationships to keep tables reasonably sized. 
+
+Additionally, include a date table. 
+
+There are several tools online you can use, I'd recommend [Draw.io](https://www.drawio.com/) or [LucidChart](https://www.lucidchart.com/pages/).
+
+**HINT:** You do not need to create any data for this prompt. This is a logical model (ERD) only. 
+
+#### Prompt 2
+We want to create employee shifts, splitting up the day into morning and evening. Add this to the ERD.
+
+#### Prompt 3
+The store wants to keep customer addresses. Propose two architectures for the CUSTOMER_ADDRESS table, one that will retain changes, and another that will overwrite. Which is type 1, which is type 2? 
+
+**HINT:** search type 1 vs type 2 slowly changing dimensions. 
+
+```
+Between the two options, customer_address_A is a type 1, and customer_address_B is a type 2. The difference between the two is that option A will overwrite any previous address that was used for orders, so there will only ever be 1 address saved in the database. For option B, this type 2 setup will save previous addresses, but keep track of when the customer is no longer at this address using the start_date and end_date columns.
+```
+
+***
+
+## Section 2:
+You can start this section following *session 4*.
+
+Steps to complete this part of the assignment:
+- Open the assignment2.sql file in DB Browser for SQLite:
+	- from [Github](./02_activities/assignments/assignment2.sql)
+	- or, from your local forked repository  
+- Complete each question
+
+
+### Write SQL
+
+#### COALESCE
+1. Our favourite manager wants a detailed long list of products, but is afraid of tables! We tell them, no problem! We can produce a list with all of the appropriate details. 
+
+Using the following syntax you create our super cool and not at all needy manager a list:
+```
+SELECT *
+,coalesce(product_name, '') || ', ' || ,coalesce(ifnull(product_size, 'unit'),|| ' (' || product_qty_type || ')'
+FROM product
+```
+
+But wait! The product table has some bad data (a few NULL values). 
+Find the NULLs and then using COALESCE, replace the NULL with a blank for the first column with nulls, and 'unit' for the second column with nulls. 
+
+**HINT**: keep the syntax the same, but edited the correct components with the string. 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.
+
+<div align="center">-</div>
+
+#### Windowed Functions
+1. Write a query that selects from the customer_purchases table and numbers each customer’s visits to the farmer’s market (labeling each market date with a different number). Each customer’s first visit is labeled 1, second visit is labeled 2, etc. 
+
+You can either display all rows in the customer_purchases table, with the counter changing on each new market date for each customer, or select only the unique market dates per customer (without purchase details) and number those visits. 
+
+**HINT**: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK().
+
+select * 
+from (
+    select
+    market_date,
+    customer_id,
+    row_number()over(partition by customer_id order by market_date) as visit_number
+
+    from customer_purchases
+) x
+
+order by market_date
+
+
+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 * 
+from (
+    select
+    market_date,
+    customer_id,
+    row_number()over(partition by customer_id order by market_date desc) as visit_number
+
+    from customer_purchases
+) x
+
+where visit_number = 1
+order by market_date desc
+
+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
+customer_id,
+product_id,
+
+count(*)over(partition by customer_id, product_id) as purchase_count
+
+from customer_purchases
+
+order by customer_id
+
+<div align="center">-</div>
+
+#### String manipulations
+1. Some product names in the product table have descriptions like "Jar" or "Organic". These are separated from the product name with a hyphen. Create a column using SUBSTR (and a couple of other commands) that captures these, but is otherwise NULL. Remove any trailing or leading whitespaces. Don't just use a case statement for each product! 
+
+| product_name               | description |
+|----------------------------|-------------|
+| Habanero Peppers - Organic | Organic     |
+
+**HINT**: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR will help split the column. 
+
+select 
+
+product_name,
+IFNULL(TRIM(SUBSTR(product_name, INSTR(product_name, '-') + 1)), NULL)
+
+as product_desc
+
+from product
+
+
+<div align="center">-</div>
+
+#### UNION
+1. Using a UNION, write a query that displays the market dates with the highest and lowest total sales.
+
+**HINT**: There are a possibly a few ways to do this query, but if you're struggling, try the following: 1) Create a CTE/Temp Table to find sales values grouped dates; 2) Create another CTE/Temp table with a rank windowed function on the previous query to create "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. 
+
+(select
+    market_date,
+    sum(quantity*cost_to_customer_per_qty) as total_sales
+from customer_purchases
+group by market_date
+order by total_sales desc limit 1)
+
+union all
+
+(select
+    market_date,
+    sum(quantity*cost_to_customer_per_qty) as total_sales
+from customer_purchases
+group by market_date
+order by total_sales asc limit 1)
+
+
+***
+
+## Section 3:
+You can start this section following *session 5*.
+
+Steps to complete this part of the assignment:
+- Open the assignment2.sql file in DB Browser for SQLite:
+	- from [Github](./02_activities/assignments/assignment2.sql)
+	- or, from your local forked repository  
+- Complete each question
+
+### Write SQL
+
+#### Cross Join
+1. Suppose every vendor in the `vendor_inventory` table had 5 of each of their products to sell to **every** customer on record. How much money would each vendor make per product? Show this by vendor_name and product name, rather than using the IDs.
+
+**HINT**: Be sure you select only relevant columns and rows. Remember, CROSS JOIN will explode your table rows, so CROSS JOIN should likely be a subquery. 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). 
+
+SELECT
+    v.vendor_name,
+    p.product_name,
+    SUM(vi.original_price * 5) AS rev_per_vendor
+FROM vendor_inventory vi
+JOIN vendor v ON vi.vendor_id = v.vendor_id
+JOIN product p ON vi.product_id = p.product_id
+CROSS JOIN (SELECT DISTINCT customer_id FROM customer) c
+GROUP BY v.vendor_name, p.product_name;
+
+
+
+<div align="center">-</div>
+
+#### INSERT
+1. Create a new table "product_units". 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`.
+
+create temp table product_units as
+select 
+    p.*,
+    CURRENT_TIMESTAMP as snapshot_timestamp
+from product p
+where product_qty_type = 'unit'
+
+2. Using `INSERT`, add a new row to the product_unit table (with an updated timestamp). This can be any product you desire (e.g. add another record for Apple Pie). 
+
+create temp table product_units as
+select 
+    p.*,
+    CURRENT_TIMESTAMP as snapshot_timestamp
+from product p
+where product_qty_type = 'unit';
+
+insert into product_units (
+    product_id,
+    product_name,
+    product_size,
+    product_category_id,   
+    product_qty_type,      
+    snapshot_timestamp
+)
+values (
+    24,
+    'Pickles',
+    'unit',
+    2,
+    'unit',
+    CURRENT_TIMESTAMP
+)
+
+
+<div align="center">-</div>
+
+#### DELETE 
+1. Delete the older record for the whatever product you added.
+
+delete from temp.product_units
+select * from temp.product_units
+where product_id = 24
+
+**HINT**: If you don't specify a WHERE clause, [you are going to have a bad time](https://imgflip.com/i/8iq872).
+
+<div align="center">-</div>
+
+#### UPDATE
+1. We want to add the current_quantity to the product_units table. First, add a new column, `current_quantity` to the table using the following syntax.
+```
+ALTER TABLE product_units
+ADD current_quantity INT;
+```
+Then, using `UPDATE`, change the current_quantity equal to the **last** `quantity` value from the vendor_inventory details. 
+
+ALTER TABLE temp.product_units
+ADD current_quantity INT;
+
+update product_units pu
+set current_quantity = (
+select coalesce(v.quantity, 0)
+from (
+    select
+    product_id,
+    quantity,
+    row_number() over (partition by product_id order by market_date desc) as rn
+    from vendor_inventory
+) v
+
+where v.product_id = pu.product_id and v.rn = 1)
+
+
+
+
+
+
+
+**HINT**: This one is pretty hard. First, determine how to get the "last" quantity per product. Second, coalesce null values to 0 (if you don't have null values, figure out how to rearrange your query so you do.) Third, `SET current_quantity = (...your select statement...)`, remembering that WHERE can only accommodate one column. 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.
diff --git a/02_activities/assignments/assignment2.sql b/02_activities/assignments/assignment2.sql
index 5ad40748a..c778493a8 100644
--- a/02_activities/assignments/assignment2.sql
+++ b/02_activities/assignments/assignment2.sql
@@ -1,133 +1,120 @@
-/* ASSIGNMENT 2 */
-/* SECTION 2 */
-
--- COALESCE
-/* 1. Our favourite manager wants a detailed long list of products, but is afraid of tables! 
-We tell them, no problem! We can produce a list with all of the appropriate details. 
-
-Using the following syntax you create our super cool and not at all needy manager a list:
-
-SELECT 
-product_name || ', ' || product_size|| ' (' || product_qty_type || ')'
-FROM product
-
-But wait! The product table has some bad data (a few NULL values). 
-Find the NULLs and then using COALESCE, replace the NULL with a 
-blank for the first problem, and 'unit' for the second problem. 
-
-HINT: keep the syntax the same, but edited the correct components with the string. 
-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.) */
-
-
-
---Windowed Functions
-/* 1. Write a query that selects from the customer_purchases table and numbers each customer’s  
-visits to the farmer’s market (labeling each market date with a different number). 
-Each customer’s first visit is labeled 1, second visit is labeled 2, etc. 
-
-You can either display all rows in the customer_purchases table, with the counter changing on
-each new market date for each customer, or select only the unique market dates per customer 
-(without purchase details) and number those visits. 
-HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK(). */
-
-
-
-/* 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. */
-
-
-
-/* 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. */
-
-
-
--- String manipulations
-/* 1. Some product names in the product table have descriptions like "Jar" or "Organic". 
-These are separated from the product name with a hyphen. 
-Create a column using SUBSTR (and a couple of other commands) that captures these, but is otherwise NULL. 
-Remove any trailing or leading whitespaces. Don't just use a case statement for each product! 
-
-| product_name               | description |
-|----------------------------|-------------|
-| Habanero Peppers - Organic | Organic     |
-
-Hint: you might need to use INSTR(product_name,'-') to find the hyphens. INSTR will help split the column. */
-
-
-
-/* 2. Filter the query to show any product_size value that contain a number with REGEXP. */
-
-
-
--- UNION
-/* 1. Using a UNION, write a query that displays the market dates with the highest and lowest total sales.
-
-HINT: There are a possibly a few ways to do this query, but if you're struggling, try the following: 
-1) Create a CTE/Temp Table to find sales values grouped dates; 
-2) Create another CTE/Temp table with a rank windowed function on the previous query to create 
-"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. */
-
-
-
-
-/* SECTION 3 */
-
--- Cross Join
-/*1. Suppose every vendor in the `vendor_inventory` table had 5 of each of their products to sell to **every** 
-customer on record. How much money would each vendor make per product? 
-Show this by vendor_name and product name, rather than using the IDs.
-
-HINT: Be sure you select only relevant columns and rows. 
-Remember, CROSS JOIN will explode your table rows, so CROSS JOIN should likely be a subquery. 
-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).  */
-
-
-
--- INSERT
-/*1.  Create a new table "product_units". 
-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`. */
-
-
-
-/*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). */
-
-
-
--- 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.*/
-
-
-
--- UPDATE
-/* 1.We want to add the current_quantity to the product_units table. 
-First, add a new column, current_quantity to the table using the following syntax.
-
-ALTER TABLE product_units
-ADD current_quantity INT;
-
-Then, using UPDATE, change the current_quantity equal to the last quantity value from the vendor_inventory details.
-
-HINT: This one is pretty hard. 
-First, determine how to get the "last" quantity per product. 
-Second, coalesce null values to 0 (if you don't have null values, figure out how to rearrange your query so you do.) 
-Third, SET current_quantity = (...your select statement...), remembering that WHERE can only accommodate one column. 
-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. */
-
-
-
-
+--#### SELECT
+--1. Write a query that returns everything in the customer table.
+
+SELECT * from customer
+
+--2. Write a query that displays all of the columns and 10 rows from the customer table, sorted by customer_last_name, then customer_first_ name.
+
+SELECT * from customer
+order by
+customer_last_name,
+customer_first_name
+limit 10
+
+
+--#### WHERE
+--1. Write a query that returns all customer purchases of product IDs 4 and 9.
+
+SELECT * from customer_purchases
+WHERE product_id = 4 or 9
+
+--2. Write a query that returns all customer purchases and a new calculated column 'price' (quantity * cost_to_customer_per_qty), filtered by vendor IDs between 8 and 10 (inclusive) using either:
+	--1.  two conditions using AND
+	--2.  one condition using BETWEEN
+
+SELECT *,
+	quantity * cost_to_customer_per_qty as price
+
+from customer_purchases
+where vendor_id between 8 and 10
+
+
+--#### CASE
+--1. Products can be sold by the individual unit or by bulk measures like lbs. or oz. Using the product table, write a query that outputs the `product_id` and `product_name` columns and add a column called `prod_qty_type_condensed` that displays the word “unit” if the `product_qty_type` is “unit,” and otherwise displays the word “bulk.”
+
+select 
+    product_id, 
+    product_name,
+    case
+        when product_qty_type = 'unit' then 'unit'
+        else 'bulk'
+    end as prod_qty_type_condensed
+from product
+
+--2. We want to flag all of the different types of pepper products that are sold at the market. Add a column to the previous query called `pepper_flag` that outputs a 1 if the product_name contains the word “pepper” (regardless of capitalization), and otherwise outputs 0.
+
+select 
+    product_id, 
+    product_name,
+    case
+        when product_qty_type = 'unit' then 'unit'
+        else 'bulk'
+    end as prod_qty_type_condensed,
+	case
+		when product_name like '%pepper%' then 1
+		else 0
+	end as pepper_flag
+from product;
+
+
+--#### JOIN
+--1. Write a query that `INNER JOIN`s the `vendor` table to the `vendor_booth_assignments` table on the `vendor_id` field they both have in common, and sorts the result by `vendor_name`, then `market_date`.
+
+select 
+    v.vendor_id,
+    v.vendor_name,
+    vba.market_date,
+    vba.booth_number
+from vendor v
+inner join vendor_booth_assignments vba
+    on v.vendor_id = vba.vendor_id
+order by v.vendor_name, vba.market_date;
+
+
+--#### AGGREGATE
+--1. Write a query that determines how many times each vendor has rented a booth at the farmer’s market by counting the vendor booth assignments per `vendor_id`.
+
+select vendor_id,
+	count(*) as booths_rented
+from vendor_booth_assignments
+group by vendor_id
+
+--2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper sticker to everyone who has ever spent more than $2000 at the market. Write a query that generates a list of customers for them to give stickers to, sorted by last name, then first name.
+
+select
+    c.customer_id,
+    c.customer_first_name,
+    c.customer_last_name,
+    sum(cp.quantity * cp.cost_to_customer_per_qty) as total_cost
+from customer_purchases cp
+inner join customer c
+    on cp.customer_id = c.customer_id
+group by
+    c.customer_id,
+    c.customer_first_name,
+    c.customer_last_name
+having
+    sum(cp.quantity * cp.cost_to_customer_per_qty) > 2000
+order by
+    c.customer_last_name,
+    c.customer_first_name
+
+
+--#### Temp Table
+--1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor: Thomass Superfood Store, a Fresh Focused store, owned by Thomas Rosenthal
+   
+create table temp.new_vendor as
+
+select
+vendor_id,
+vendor_name,
+vendor_type,
+vendor_owner_first_name,
+vendor_owner_last_name
+
+from vendor;
+
+insert into temp.new_vendor
+values(10,'Thomass Superfood Store','a Fresh Focused store','Thomas','Rosenthal')
+
+select * from temp.new_vendor
\ No newline at end of file
diff --git a/02_activities/assignments/assignment2final.sql b/02_activities/assignments/assignment2final.sql
new file mode 100644
index 000000000..84cec4f4d
--- /dev/null
+++ b/02_activities/assignments/assignment2final.sql
@@ -0,0 +1,6715 @@
+BEGIN TRANSACTION;
+CREATE TABLE IF NOT EXISTS "assignment1" (
+	"field1"	TEXT,
+	"field2"	TEXT
+);
+CREATE TABLE IF NOT EXISTS "assignment2" (
+	"/* ASSIGNMENT 2 */"	TEXT,
+	"field2"	TEXT
+);
+CREATE TABLE IF NOT EXISTS "booth" (
+	"booth_number"	int(11) NOT NULL,
+	"booth_price_level"	varchar(45) NOT NULL,
+	"booth_description"	varchar(255) NOT NULL,
+	"booth_type"	varchar(45) NOT NULL,
+	PRIMARY KEY("booth_number"),
+	UNIQUE("booth_number")
+);
+CREATE TABLE IF NOT EXISTS "customer" (
+	"customer_id"	int(11) NOT NULL,
+	"customer_first_name"	nvarchar(45) DEFAULT NULL,
+	"customer_last_name"	nvarchar(45) DEFAULT NULL,
+	"customer_postal_code"	char(3) DEFAULT NULL,
+	PRIMARY KEY("customer_id"),
+	CONSTRAINT "fk_postal_code" FOREIGN KEY("customer_postal_code") REFERENCES "postal_data"("postal_code_3")
+);
+CREATE TABLE IF NOT EXISTS "customer_purchases" (
+	"product_id"	int(11) NOT NULL,
+	"vendor_id"	int(11) NOT NULL,
+	"market_date"	date NOT NULL,
+	"customer_id"	int(11) NOT NULL,
+	"quantity"	decimal(16, 2) DEFAULT NULL,
+	"cost_to_customer_per_qty"	decimal(16, 2) DEFAULT NULL,
+	"transaction_time"	time NOT NULL,
+	PRIMARY KEY("product_id","vendor_id","market_date","customer_id","transaction_time"),
+	CONSTRAINT "fk_customer_purchases_customer1" FOREIGN KEY("customer_id") REFERENCES "customer"("customer_id"),
+	CONSTRAINT "fk_customer_purchases_vendor_inventory1" FOREIGN KEY("product_id","vendor_id","market_date") REFERENCES "vendor_inventory"("product_id","vendor_id","market_date")
+);
+CREATE TABLE IF NOT EXISTS "market_date_info" (
+	"market_date"	date NOT NULL,
+	"market_day"	varchar(45) DEFAULT NULL,
+	"market_week"	varchar(45) DEFAULT NULL,
+	"market_year"	varchar(45) DEFAULT NULL,
+	"market_start_time"	varchar(45) DEFAULT NULL,
+	"market_end_time"	varchar(45) DEFAULT NULL,
+	"special_notes"	blob,
+	"market_season"	varchar(45) DEFAULT NULL,
+	"market_min_temp"	varchar(200) DEFAULT NULL,
+	"market_max_temp"	varchar(45) DEFAULT NULL,
+	"market_rain_flag"	int(11) DEFAULT NULL,
+	"market_snow_flag"	int(11) DEFAULT NULL,
+	UNIQUE("market_date"),
+	PRIMARY KEY("market_date")
+);
+CREATE TABLE IF NOT EXISTS "new_customer_purchases" (
+	"product_id"	INTEGER,
+	"vendor_id"	INTEGER,
+	"market_date"	TEXT,
+	"customer_id"	INTEGER,
+	"quantity"	INTEGER,
+	"cost_to_customer_per_qty"	REAL,
+	"transaction_time"	TEXT
+);
+CREATE TABLE IF NOT EXISTS "postal_data" (
+	"postal_code_3"	char(3) NOT NULL,
+	"city"	nvarchar(45) DEFAULT NULL,
+	"district"	nvarchar(45) DEFAULT NULL,
+	"population"	int DEFAULT NULL,
+	"median_household_income"	int DEFAULT NULL,
+	"percent_under_14"	float DEFAULT NULL,
+	"percent_over_65"	float DEFAULT NULL,
+	"labour_force"	int DEFAULT NULL,
+	"11_agriculture_forestry_fishing_hunting"	int DEFAULT NULL,
+	"21_mining_quarrying_oil_gas_extraction"	int DEFAULT NULL,
+	"22_utilities"	int DEFAULT NULL,
+	"23_construction"	int DEFAULT NULL,
+	"31_33_manufacturing"	int DEFAULT NULL,
+	"41_wholesale_trade"	int DEFAULT NULL,
+	"44_45_retail_trade"	int DEFAULT NULL,
+	"48_49_transportation_warehousing"	int DEFAULT NULL,
+	"51_information_cultural_industries"	int DEFAULT NULL,
+	"52_finance_insurance"	int DEFAULT NULL,
+	"53_real_estate_rental_leasing"	int DEFAULT NULL,
+	"54_professional_scientific_technical_services"	int DEFAULT NULL,
+	"55_management_of_companies_enterprises"	int DEFAULT NULL,
+	"56_administrative_support_waste_management_remediation_services"	int DEFAULT NULL,
+	"61_educational_services"	int DEFAULT NULL,
+	"62_health_care_social_assistance"	int DEFAULT NULL,
+	"71_arts_entertainment_recreation"	int DEFAULT NULL,
+	"72_accommodation_food_services"	int DEFAULT NULL,
+	"81_other_services"	int DEFAULT NULL,
+	"91_public_administration"	int DEFAULT NULL,
+	"latitude"	float DEFAULT NULL,
+	"longitude"	float DEFAULT NULL,
+	PRIMARY KEY("postal_code_3")
+);
+CREATE TABLE IF NOT EXISTS "product" (
+	"product_id"	int(11) NOT NULL,
+	"product_name"	varchar(45) DEFAULT NULL,
+	"product_size"	varchar(45) DEFAULT NULL,
+	"product_category_id"	int(11) NOT NULL,
+	"product_qty_type"	varchar(45) DEFAULT NULL,
+	PRIMARY KEY("product_id","product_category_id"),
+	CONSTRAINT "fk_product_product_category1" FOREIGN KEY("product_category_id") REFERENCES "product_category"("product_category_id")
+);
+CREATE TABLE IF NOT EXISTS "product_category" (
+	"product_category_id"	int(11) NOT NULL,
+	"product_category_name"	varchar(45) DEFAULT NULL,
+	PRIMARY KEY("product_category_id")
+);
+CREATE TABLE IF NOT EXISTS "vendor" (
+	"vendor_id"	int(11) NOT NULL,
+	"vendor_name"	varchar(45) NOT NULL,
+	"vendor_type"	varchar(45) NOT NULL,
+	"vendor_owner_first_name"	varchar(45) NOT NULL,
+	"vendor_owner_last_name"	varchar(45) NOT NULL,
+	PRIMARY KEY("vendor_id"),
+	UNIQUE("vendor_id"),
+	UNIQUE("vendor_name")
+);
+CREATE TABLE IF NOT EXISTS "vendor_booth_assignments" (
+	"vendor_id"	int(11) NOT NULL,
+	"booth_number"	int(11) NOT NULL,
+	"market_date"	date NOT NULL,
+	PRIMARY KEY("vendor_id","booth_number","market_date"),
+	CONSTRAINT "booth_number_fk" FOREIGN KEY("booth_number") REFERENCES "booth"("booth_number") ON DELETE RESTRICT ON UPDATE RESTRICT,
+	CONSTRAINT "market_date_fk" FOREIGN KEY("market_date") REFERENCES "market_date_info"("market_date") ON DELETE RESTRICT ON UPDATE RESTRICT,
+	CONSTRAINT "vendor_id_fk" FOREIGN KEY("vendor_id") REFERENCES "vendor"("vendor_id") ON DELETE RESTRICT ON UPDATE RESTRICT
+);
+CREATE TABLE IF NOT EXISTS "vendor_inventory" (
+	"market_date"	date NOT NULL,
+	"quantity"	decimal(16, 2) DEFAULT NULL,
+	"vendor_id"	int(11) NOT NULL,
+	"product_id"	int(11) NOT NULL,
+	"original_price"	decimal(16, 2) DEFAULT NULL,
+	PRIMARY KEY("market_date","vendor_id","product_id"),
+	FOREIGN KEY("product_id") REFERENCES "product"("product_id"),
+	CONSTRAINT "fk_vendor_inventory_vendor1" FOREIGN KEY("vendor_id") REFERENCES "vendor"("vendor_id")
+);
+INSERT INTO "assignment1" VALUES ('/* ASSIGNMENT 1 */',NULL);
+INSERT INTO "assignment1" VALUES ('/* SECTION 2 */',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('--SELECT',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Write a query that returns everything in the customer table. */',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/* 2. Write a query that displays all of the columns and 10 rows from the cus- tomer table',NULL);
+INSERT INTO "assignment1" VALUES ('sorted by customer_last_name','then customer_first_ name. */');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('--WHERE',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Write a query that returns all customer purchases of product IDs 4 and 9. */',NULL);
+INSERT INTO "assignment1" VALUES ('-- option 1',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('-- option 2',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/*2. Write a query that returns all customer purchases and a new calculated column ''price'' (quantity * cost_to_customer_per_qty)',NULL);
+INSERT INTO "assignment1" VALUES ('filtered by vendor IDs between 8 and 10 (inclusive) using either:',NULL);
+INSERT INTO "assignment1" VALUES ('1.  two conditions using AND',NULL);
+INSERT INTO "assignment1" VALUES ('2.  one condition using BETWEEN',NULL);
+INSERT INTO "assignment1" VALUES ('*/',NULL);
+INSERT INTO "assignment1" VALUES ('-- option 1',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('-- option 2',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('--CASE',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Products can be sold by the individual unit or by bulk measures like lbs. or oz.',NULL);
+INSERT INTO "assignment1" VALUES ('Using the product table','write a query that outputs the product_id and product_name');
+INSERT INTO "assignment1" VALUES ('columns and add a column called prod_qty_type_condensed that displays the word “unit”',NULL);
+INSERT INTO "assignment1" VALUES ('if the product_qty_type is “unit','” and otherwise displays the word “bulk.” */');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/* 2. We want to flag all of the different types of pepper products that are sold at the market.',NULL);
+INSERT INTO "assignment1" VALUES ('add a column to the previous query called pepper_flag that outputs a 1 if the product_name',NULL);
+INSERT INTO "assignment1" VALUES ('contains the word “pepper” (regardless of capitalization)','and otherwise outputs 0. */');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('--JOIN',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Write a query that INNER JOINs the vendor table to the vendor_booth_assignments table on the',NULL);
+INSERT INTO "assignment1" VALUES ('vendor_id field they both have in common','and sorts the result by vendor_name');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/* SECTION 3 */',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('-- AGGREGATE',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Write a query that determines how many times each vendor has rented a booth',NULL);
+INSERT INTO "assignment1" VALUES ('at the farmer’s market by counting the vendor booth assignments per vendor_id. */',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/* 2. The Farmer’s Market Customer Appreciation Committee wants to give a bumper',NULL);
+INSERT INTO "assignment1" VALUES ('sticker to everyone who has ever spent more than $2000 at the market. Write a query that generates a list',NULL);
+INSERT INTO "assignment1" VALUES ('of customers for them to give stickers to','sorted by last name');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('HINT: This query requires you to join two tables','use an aggregate function');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('--Temp Table',NULL);
+INSERT INTO "assignment1" VALUES ('/* 1. Insert the original vendor table into a temp.new_vendor and then add a 10th vendor:',NULL);
+INSERT INTO "assignment1" VALUES ('Thomass Superfood Store','a Fresh Focused store');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('HINT: This is two total queries -- first create the table from the original','then insert the new 10th vendor.');
+INSERT INTO "assignment1" VALUES ('When inserting the new vendor','you need to appropriately align the columns to be inserted');
+INSERT INTO "assignment1" VALUES ('(there are five columns to be inserted','I''ve given you the details');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('-> To insert the new row use VALUES','specifying the value you want for each column:');
+INSERT INTO "assignment1" VALUES ('VALUES(col1','col2');
+INSERT INTO "assignment1" VALUES ('*/',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('-- Date',NULL);
+INSERT INTO "assignment1" VALUES ('/*1. Get the customer_id','month');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('HINT: you might need to search for strfrtime modifers sqlite on the web to know what the modifers for month',NULL);
+INSERT INTO "assignment1" VALUES ('and year are! */',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('/* 2. Using the previous query as a base','determine how much money each customer spent in April 2022.');
+INSERT INTO "assignment1" VALUES ('Remember that money spent is quantity*cost_to_customer_per_qty.',NULL);
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment1" VALUES ('HINTS: you will need to AGGREGATE','GROUP BY');
+INSERT INTO "assignment1" VALUES ('but remember','STRFTIME returns a STRING for your WHERE statement!! */');
+INSERT INTO "assignment1" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/* SECTION 2 */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- COALESCE',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1. Our favourite manager wants a detailed long list of products','but is afraid of tables!');
+INSERT INTO "assignment2" VALUES ('We tell them','no problem! We can produce a list with all of the appropriate details.');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('Using the following syntax you create our super cool and not at all needy manager a list:',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('SELECT',NULL);
+INSERT INTO "assignment2" VALUES ('product_name || ''',''' || product_size|| '' ('' || product_qty_type || '')''');
+INSERT INTO "assignment2" VALUES ('FROM product',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('But wait! The product table has some bad data (a few NULL values).',NULL);
+INSERT INTO "assignment2" VALUES ('Find the NULLs and then using COALESCE','replace the NULL with a');
+INSERT INTO "assignment2" VALUES ('blank for the first problem','and ''unit'' for the second problem.');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('HINT: keep the syntax the same','but edited the correct components with the string.');
+INSERT INTO "assignment2" VALUES ('The `||` values concatenate the columns into strings.',NULL);
+INSERT INTO "assignment2" VALUES ('Edit the appropriate columns -- you''re making two edits -- and the NULL rows will be fixed.',NULL);
+INSERT INTO "assignment2" VALUES ('All the other rows will remain the same.) */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('--Windowed Functions',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1. Write a query that selects from the customer_purchases table and numbers each customer’s',NULL);
+INSERT INTO "assignment2" VALUES ('visits to the farmer’s market (labeling each market date with a different number).',NULL);
+INSERT INTO "assignment2" VALUES ('Each customer’s first visit is labeled 1','second visit is labeled 2');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('You can either display all rows in the customer_purchases table','with the counter changing on');
+INSERT INTO "assignment2" VALUES ('each new market date for each customer','or select only the unique market dates per customer');
+INSERT INTO "assignment2" VALUES ('(without purchase details) and number those visits.',NULL);
+INSERT INTO "assignment2" VALUES ('HINT: One of these approaches uses ROW_NUMBER() and one uses DENSE_RANK(). */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/* 2. Reverse the numbering of the query from a part so each customer’s most recent visit is labeled 1',NULL);
+INSERT INTO "assignment2" VALUES ('then write another query that uses this one as a subquery (or temp table) and filters the results to',NULL);
+INSERT INTO "assignment2" VALUES ('only the customer’s most recent visit. */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/* 3. Using a COUNT() window function','include a value along with each row of the');
+INSERT INTO "assignment2" VALUES ('customer_purchases table that indicates how many different times that customer has purchased that product_id. */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- String manipulations',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1. Some product names in the product table have descriptions like Jar or Organic.',NULL);
+INSERT INTO "assignment2" VALUES ('These are separated from the product name with a hyphen.',NULL);
+INSERT INTO "assignment2" VALUES ('Create a column using SUBSTR (and a couple of other commands) that captures these','but is otherwise NULL.');
+INSERT INTO "assignment2" VALUES ('Remove any trailing or leading whitespaces. Don''t just use a case statement for each product!',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('| product_name               | description |',NULL);
+INSERT INTO "assignment2" VALUES ('|----------------------------|-------------|',NULL);
+INSERT INTO "assignment2" VALUES ('| Habanero Peppers - Organic | Organic     |',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('Hint: you might need to use INSTR(product_name','''-'') to find the hyphens. INSTR will help split the column. */');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/* 2. Filter the query to show any product_size value that contain a number with REGEXP. */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- UNION',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1. Using a UNION','write a query that displays the market dates with the highest and lowest total sales.');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('HINT: There are a possibly a few ways to do this query','but if you''re struggling');
+INSERT INTO "assignment2" VALUES ('1) Create a CTE/Temp Table to find sales values grouped dates;',NULL);
+INSERT INTO "assignment2" VALUES ('2) Create another CTE/Temp table with a rank windowed function on the previous query to create',NULL);
+INSERT INTO "assignment2" VALUES ('best day and worst day;',NULL);
+INSERT INTO "assignment2" VALUES ('3) Query the second temp table twice','once for the best day');
+INSERT INTO "assignment2" VALUES ('with a UNION binding them. */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/* SECTION 3 */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- Cross Join',NULL);
+INSERT INTO "assignment2" VALUES ('/*1. Suppose every vendor in the `vendor_inventory` table had 5 of each of their products to sell to **every**',NULL);
+INSERT INTO "assignment2" VALUES ('customer on record. How much money would each vendor make per product?',NULL);
+INSERT INTO "assignment2" VALUES ('Show this by vendor_name and product name','rather than using the IDs.');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('HINT: Be sure you select only relevant columns and rows.',NULL);
+INSERT INTO "assignment2" VALUES ('Remember','CROSS JOIN will explode your table rows');
+INSERT INTO "assignment2" VALUES ('Think a bit about the row counts: how many distinct vendors','product names are there (x)?');
+INSERT INTO "assignment2" VALUES ('How many customers are there (y).',NULL);
+INSERT INTO "assignment2" VALUES ('Before your final group by you should have the product of those two queries (x*y).  */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- INSERT',NULL);
+INSERT INTO "assignment2" VALUES ('/*1.  Create a new table product_units.',NULL);
+INSERT INTO "assignment2" VALUES ('This table will contain only products where the `product_qty_type = ''unit''`.',NULL);
+INSERT INTO "assignment2" VALUES ('It should use all of the columns from the product table','as well as a new column for the `CURRENT_TIMESTAMP`.');
+INSERT INTO "assignment2" VALUES ('Name the timestamp column `snapshot_timestamp`. */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('/*2. Using `INSERT`','add a new row to the product_units table (with an updated timestamp).');
+INSERT INTO "assignment2" VALUES ('This can be any product you desire (e.g. add another record for Apple Pie). */',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- DELETE',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1. Delete the older record for the whatever product you added.',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('HINT: If you don''t specify a WHERE clause','you are going to have a bad time.*/');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('-- UPDATE',NULL);
+INSERT INTO "assignment2" VALUES ('/* 1.We want to add the current_quantity to the product_units table.',NULL);
+INSERT INTO "assignment2" VALUES ('First','add a new column');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('ALTER TABLE product_units',NULL);
+INSERT INTO "assignment2" VALUES ('ADD current_quantity INT;',NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('Then','using UPDATE');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES ('HINT: This one is pretty hard.',NULL);
+INSERT INTO "assignment2" VALUES ('First','determine how to get the last quantity per product.');
+INSERT INTO "assignment2" VALUES ('Second','coalesce null values to 0 (if you don''t have null values');
+INSERT INTO "assignment2" VALUES ('Third','SET current_quantity = (...your select statement...)');
+INSERT INTO "assignment2" VALUES ('Finally','make sure you have a WHERE statement to update the right row');
+INSERT INTO "assignment2" VALUES ('you''ll need to use product_units.product_id to refer to the correct row within the product_units table.',NULL);
+INSERT INTO "assignment2" VALUES ('When you have all of these components','you can run the update statement. */');
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "assignment2" VALUES (NULL,NULL);
+INSERT INTO "booth" VALUES (1,'A','First booth to the left as you enter the center door','Standard');
+INSERT INTO "booth" VALUES (2,'A','Second booth to the left as you enter the center door','Standard');
+INSERT INTO "booth" VALUES (3,'B','Third booth to the left as you enter the center door - Small square table size','Small');
+INSERT INTO "booth" VALUES (4,'C','First booth on left end of building - Small square table size','Small');
+INSERT INTO "booth" VALUES (5,'C','Second booth on left end of building  - Small square table size','Small');
+INSERT INTO "booth" VALUES (6,'C','Third booth on left end of building  - Small square table size','Small');
+INSERT INTO "booth" VALUES (7,'A','First booth to the right as you enter the center door','Standard');
+INSERT INTO "booth" VALUES (8,'C','First booth on right end of building  - Small square table size','Small');
+INSERT INTO "booth" VALUES (9,'C','First booth on right end of building  - Small square table size','Small');
+INSERT INTO "booth" VALUES (10,'B','Back right booth  - Large rectangular table size','Large');
+INSERT INTO "booth" VALUES (11,'B','Back center booth  - Large rectangular table size','Large');
+INSERT INTO "booth" VALUES (12,'B','Back left booth  - Large rectangular table size','Large');
+INSERT INTO "customer" VALUES (1,'Alejandro','Costa','M8Y');
+INSERT INTO "customer" VALUES (2,'Mei','Chen','M1L');
+INSERT INTO "customer" VALUES (3,'Amir','Khan','M4H');
+INSERT INTO "customer" VALUES (4,'Leyla','Abadi','M1L');
+INSERT INTO "customer" VALUES (5,'Hiro','Yamamoto','M1L');
+INSERT INTO "customer" VALUES (6,'Sofia','Rodríguez','M4H');
+INSERT INTO "customer" VALUES (7,'Anwar','Ali','M6C');
+INSERT INTO "customer" VALUES (8,'Khaled','Naser','M6C');
+INSERT INTO "customer" VALUES (9,'Zuri','Okoro','M1L');
+INSERT INTO "customer" VALUES (10,'Taylor','Park','M8Y');
+INSERT INTO "customer" VALUES (11,'Sofia','Petrov','M4H');
+INSERT INTO "customer" VALUES (12,'Jalen','Carter','M1L');
+INSERT INTO "customer" VALUES (13,'Abigail','Harris','M3H');
+INSERT INTO "customer" VALUES (14,'Jack','Wise','M8Y');
+INSERT INTO "customer" VALUES (15,'Carlos','Diaz','M6C');
+INSERT INTO "customer" VALUES (16,'Iva','Kienzler','M1L');
+INSERT INTO "customer" VALUES (17,'Jeri','Mitchell','M8Y');
+INSERT INTO "customer" VALUES (18,'Anjali','Kumar','M1L');
+INSERT INTO "customer" VALUES (19,'Salil','Hassan','M6C');
+INSERT INTO "customer" VALUES (20,'Johannes','Paulson','M4H');
+INSERT INTO "customer" VALUES (21,'Yoojung','Kim','M4H');
+INSERT INTO "customer" VALUES (22,'Julio','da Silva','M1L');
+INSERT INTO "customer" VALUES (23,'Jessica','Connor','M4H');
+INSERT INTO "customer" VALUES (24,'Dylan','O''Connor','M4H');
+INSERT INTO "customer" VALUES (25,'Lea','Fischer','M1L');
+INSERT INTO "customer" VALUES (26,'Richard','Côté','M6C');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-05',14,0.99,6.99,'17:32:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-05',14,2.18,6.99,'18:23:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-05',15,1.53,6.99,'18:41:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-05',16,2.02,6.99,'18:18:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-05',22,0.66,6.99,'17:34:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-08',4,0.27,6.99,'12:20:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-08',12,3.6,6.99,'9:33:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-08',14,3.04,6.99,'13:05:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-08',23,1.49,6.99,'12:26:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-08',23,2.56,6.99,'12:46:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-12',3,2.48,6.99,'18:40:00');
+INSERT INTO "customer_purchases" VALUES (1,7,'2022-07-12',4,2.13,6.99,'18:06:00');
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+INSERT INTO "market_date_info" VALUES ('2022-05-06','Saturday','19','2022','8:00 AM','2:00 PM',NULL,'Spring','54','64',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-10','Wednesday','20','2022','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-13','Saturday','20','2022','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-17','Wednesday','21','2022','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-20','Saturday','21','2022','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-24','Wednesday','22','2022','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-27','Saturday','22','2022','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-05-31','Wednesday','23','2022','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-03','Saturday','23','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','49','69',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-07','Wednesday','24','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','71','82',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-10','Saturday','24','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','57','76',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-14','Wednesday','25','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','73','82',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-17','Saturday','25','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','56','64',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-21','Wednesday','26','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','68','76',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-24','Saturday','26','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','65','80',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-06-28','Wednesday','27','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','74','85',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-01','Saturday','27','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','72','79',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-05','Wednesday','28','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','70','89',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-08','Saturday','28','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','67','78',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-12','Wednesday','29','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall','77','90',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-15','Saturday','29','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall','65','81',0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-19','Wednesday','30','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-22','Saturday','30','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-26','Wednesday','31','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-07-29','Saturday','31','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-02','Wednesday','32','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-05','Saturday','32','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-09','Wednesday','33','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-12','Saturday','33','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-16','Wednesday','34','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-19','Saturday','34','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-23','Wednesday','35','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-26','Saturday','35','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-08-30','Wednesday','36','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-02','Saturday','36','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-06','Wednesday','37','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-09','Saturday','37','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-13','Wednesday','38','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-16','Saturday','38','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-20','Wednesday','39','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-23','Saturday','39','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-27','Wednesday','40','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-09-30','Saturday','40','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-04','Wednesday','41','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-07','Saturday','41','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-11','Wednesday','42','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-14','Saturday','42','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-18','Wednesday','43','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-21','Saturday','43','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-25','Wednesday','44','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-10-28','Saturday','44','2022','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-01','Wednesday','45','2022','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-04','Saturday','45','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-08','Wednesday','46','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-11','Saturday','46','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-15','Wednesday','47','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-18','Saturday','47','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-22','Wednesday','48','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-25','Saturday','48','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-11-29','Wednesday','49','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-02','Saturday','49','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-06','Wednesday','50','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-09','Saturday','50','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-13','Wednesday','51','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-16','Saturday','51','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-20','Wednesday','52','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-23','Saturday','52','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-27','Wednesday','53','2022','4:00 PM','7:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2022-12-30','Saturday','53','2022','8:00 AM','2:00 PM',NULL,'Late Fall/Holiday',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-07','Wednesday','10','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-10','Saturday','10','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-14','Wednesday','11','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-17','Saturday','11','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-21','Wednesday','12','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-24','Saturday','12','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-28','Wednesday','13','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-03-31','Saturday','13','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-04','Wednesday','14','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-07','Saturday','14','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-11','Wednesday','15','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-14','Saturday','15','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-18','Wednesday','16','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-21','Saturday','16','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-25','Wednesday','17','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-04-28','Saturday','17','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-02','Wednesday','18','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-05','Saturday','18','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-09','Wednesday','19','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-12','Saturday','19','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-16','Wednesday','20','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-19','Saturday','20','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-23','Wednesday','21','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-26','Saturday','21','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-05-30','Wednesday','22','2023','4:00 PM','7:00 PM',NULL,'Spring',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-02','Saturday','22','2023','8:00 AM','2:00 PM',NULL,'Spring',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-06','Wednesday','23','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-09','Saturday','23','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-13','Wednesday','24','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-16','Saturday','24','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-20','Wednesday','25','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-23','Saturday','25','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-27','Wednesday','26','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-06-30','Saturday','26','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-04','Wednesday','27','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-07','Saturday','27','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-11','Wednesday','28','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-14','Saturday','28','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-18','Wednesday','29','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-21','Saturday','29','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-25','Wednesday','30','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-07-28','Saturday','30','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-01','Wednesday','31','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-04','Saturday','31','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-08','Wednesday','32','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-11','Saturday','32','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-15','Wednesday','33','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-18','Saturday','33','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-22','Wednesday','34','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-25','Saturday','34','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-08-29','Wednesday','35','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-01','Saturday','35','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-05','Wednesday','36','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-08','Saturday','36','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-12','Wednesday','37','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-15','Saturday','37','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-19','Wednesday','38','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-22','Saturday','38','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-26','Wednesday','39','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-09-29','Saturday','39','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-10-03','Wednesday','40','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,1,0);
+INSERT INTO "market_date_info" VALUES ('2023-10-06','Saturday','40','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-10-10','Wednesday','41','2023','4:00 PM','7:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2023-10-13','Saturday','41','2023','8:00 AM','2:00 PM',NULL,'Summer/Early Fall',NULL,NULL,0,0);
+INSERT INTO "market_date_info" VALUES ('2025-08-13','Wednesday','33','2025','8:00 AM','2:00 PM','nothing interesting','Summer','25','28',0,0);
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',11,1,4.99,'17:32:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',25,2,4.99,'18:23:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',24,2,4.99,'18:41:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',6,2,4.99,'18:18:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',8,1,4.99,'17:34:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',2,1,4.99,'12:20:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',18,1,4.99,'9:33:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',24,3,4.99,'13:05:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',18,3,4.99,'12:26:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',4,2,4.99,'12:46:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',17,3,4.99,'18:40:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',13,2,4.99,'18:06:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',23,3,4.99,'18:35:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',3,3,4.99,'18:56:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',8,3,4.99,'12:03:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',1,2,4.99,'11:43:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',23,3,4.99,'17:43:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',13,3,4.99,'18:22:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',23,2,4.99,'18:52:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',11,2,4.99,'17:07:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',1,1,4.99,'12:56:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',3,1,4.99,'11:02:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',2,2,4.99,'11:38:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',23,1,4.99,'18:56:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',24,1,4.99,'18:59:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',2,1,4.99,'10:42:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',15,3,4.99,'17:30:00');
+INSERT INTO "new_customer_purchases" VALUES (21,3,'2025-08-13',5,2,4.99,'9:08:00');
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+INSERT INTO "product" VALUES (6,'Cut Zinnias Bouquet','medium',5,'unit');
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+INSERT INTO "product" VALUES (10,'Eggs','1 dozen',6,'unit');
+INSERT INTO "product" VALUES (11,'Pork Chops','1 lb',6,'lbs');
+INSERT INTO "product" VALUES (12,'Baby Salad Lettuce Mix - Bag','1/2 lb',1,'unit');
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+INSERT INTO "product" VALUES (14,'Red Potatoes',NULL,1,NULL);
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+INSERT INTO "product" VALUES (19,'Farmer''s Market Resuable Shopping Bag','medium',7,'unit');
+INSERT INTO "product" VALUES (20,'Homemade Beeswax Candles','6"',7,'unit');
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+INSERT INTO "product_category" VALUES (5,'Plants & Flowers');
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+INSERT INTO "vendor_inventory" VALUES ('2022-04-15',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-04-19',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-04-22',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-04-26',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-04-29',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-03',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-06',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-10',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-13',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-17',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-20',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-24',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-27',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-05-31',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-03',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-07',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-10',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-14',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-17',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-21',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-24',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-28',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-01',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-05',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-08',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-12',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-15',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-19',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-22',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-26',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-29',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-02',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-05',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-09',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-12',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-16',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-19',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-23',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-26',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-30',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-02',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-06',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-09',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-13',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-16',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-20',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-23',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-27',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-30',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-04',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-07',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-11',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-14',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-18',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-21',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-25',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-10-28',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-01',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-04',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-08',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-11',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-15',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-18',23,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-22',23,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-25',26,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-11-29',15,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-02',20,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-06',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-09',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-13',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-16',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-20',27,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-23',20,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-27',19,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-12-30',26,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-07',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-10',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-14',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-17',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-21',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-24',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-28',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-03-31',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-04',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-07',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-11',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-14',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-18',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-21',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-25',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-04-28',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-02',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-05',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-09',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-12',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-16',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-19',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-23',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-26',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-05-30',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-02',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-06',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-09',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-13',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-16',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-20',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-23',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-27',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-30',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-04',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-07',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-11',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-14',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-18',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-21',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-25',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-28',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-01',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-04',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-08',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-11',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-15',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-18',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-22',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-25',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-29',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-01',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-05',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-08',8,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-12',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-15',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-19',6,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-22',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-26',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-29',5,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-10-03',7,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-10-06',9,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-10-10',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2023-10-13',10,8,8,18);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-03',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-07',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-10',100,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-14',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-17',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-21',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-24',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-06-28',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-01',100,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-05',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-08',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-12',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-15',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-19',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-22',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-26',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-07-29',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-02',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-05',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-09',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-12',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-16',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-19',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-23',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-26',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-08-30',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-02',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-06',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-09',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-13',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-16',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-20',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-23',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-27',100,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2022-09-30',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-06',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-09',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-13',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-16',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-20',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-23',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-27',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-06-30',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-04',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-07',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-11',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-14',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-18',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-21',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-25',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-07-28',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-01',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-04',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-08',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-11',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-15',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-18',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-22',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-25',250,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-08-29',300,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-01',200,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-05',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-08',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-12',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-15',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-19',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-22',140,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-26',100,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-09-29',120,4,16,0.5);
+INSERT INTO "vendor_inventory" VALUES ('2023-10-03',140,4,16,0.5);
+CREATE VIEW todays_vendor_daily_sales AS
+
+	SELECT 
+	md.market_date
+	,market_day
+	,market_week
+	,market_year
+	,vendor_name -- from vendor
+	,SUM(quantity*cost_to_customer_per_qty) as sales
+	
+	
+	FROM market_date_info md
+-- add the new customer_purchases info
+	INNER JOIN (
+			SELECT * FROM customer_purchases 
+			UNION 
+			SELECT * FROM new_customer_purchases )cp
+		ON md.market_date = cp.market_date
+	INNER JOIN vendor v
+		ON cp.vendor_id = v.vendor_id
+		
+	WHERE md.market_date = DATE('now')
+	--WHERE md.market_date= DATE('now','localtime') -- if the timezone not set
+	
+	GROUP BY cp.market_date, v.vendor_id;
+COMMIT;