Solve the following sql problem:
Find the location of businesses that have business hours from 8 am to 9 pm every Friday.

Schema:
SCHEMA:
- Table: Attributes
  - Column: attribute_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: attribute_name
    - Samples: [Alcohol, Waiter Service, Delivery, Attire, Good for Kids]
- Table: Categories
  - Column: category_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: category_name
    - Samples: [Active Life, Arts & Entertainment, Stadiums & Arenas, Horse Racing, Tires]
- Table: Compliments
  - Column: compliment_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: compliment_type
    - Samples: [photos, cool, hot, note, more]
- Table: Days
  - Column: day_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: day_of_week
    - Samples: [Sunday, Monday, Tuesday, Wednesday, Thursday]
- Table: Years
  - Column: year_id
    - Samples: [2005, 2006, 2007, 2008, 2009]
  - Column: actual_year
    - Samples: [2005, 2006, 2007, 2008, 2009]
- Table: Business_Attributes
  - Column: attribute_id
    - Samples: [1, 1, 1, 1, 1]
  - Column: business_id
    - Samples: [2, 3, 13, 17, 22]
  - Column: attribute_value
    - Samples: [none, none, none, full_bar, full_bar]
- Table: Business_Categories
  - Column: business_id
    - Samples: [1, 1, 2, 2, 3]
  - Column: category_id
    - Samples: [8, 143, 18, 170, 18]
- Table: Business_Hours
  - Column: business_id
    - Samples: [2, 2, 2, 2, 2]
  - Column: day_id
    - Samples: [2, 3, 4, 5, 6]
  - Column: opening_time
    - Samples: [11AM, 11AM, 11AM, 11AM, 11AM]
  - Column: closing_time
    - Samples: [8PM, 8PM, 8PM, 8PM, 8PM]
- Table: Checkins
  - Column: business_id
    - Samples: [1, 1, 1, 1, 1]
  - Column: day_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: label_time_0
    - Samples: [None, None, None, None, None]
  - Column: label_time_1
    - Samples: [None, None, None, None, None]
  - Column: label_time_2
    - Samples: [None, None, None, None, None]
  - Column: label_time_3
    - Samples: [None, None, None, None, None]
  - Column: label_time_4
    - Samples: [None, None, None, None, None]
  - Column: label_time_5
    - Samples: [None, None, None, None, None]
  - Column: label_time_6
    - Samples: [None, None, None, None, None]
  - Column: label_time_7
    - Samples: [None, None, None, None, None]
  - Column: label_time_8
    - Samples: [None, None, None, None, None]
  - Column: label_time_9
    - Samples: [Low, None, None, None, None]
  - Column: label_time_10
    - Samples: [None, None, None, None, None]
  - Column: label_time_11
    - Samples: [Low, None, Low, None, None]
  - Column: label_time_12
    - Samples: [None, None, None, Low, None]
  - Column: label_time_13
    - Samples: [None, None, Low, None, None]
  - Column: label_time_14
    - Samples: [None, None, Low, None, None]
  - Column: label_time_15
    - Samples: [None, Low, Low, None, None]
  - Column: label_time_16
    - Samples: [None, None, None, None, None]
  - Column: label_time_17
    - Samples: [Low, None, Low, None, None]
  - Column: label_time_18
    - Samples: [None, None, None, None, None]
  - Column: label_time_19
    - Samples: [None, Low, None, None, None]
  - Column: label_time_20
    - Samples: [None, None, None, Low, None]
  - Column: label_time_21
    - Samples: [None, None, None, None, None]
  - Column: label_time_22
    - Samples: [None, None, None, None, None]
  - Column: label_time_23
    - Samples: [None, None, None, None, None]
- Table: Elite
  - Column: user_id
    - Samples: [3, 3, 3, 3, 3]
  - Column: year_id
    - Samples: [2010, 2011, 2012, 2013, 2014]
- Table: Reviews
  - Column: business_id
    - Samples: [1, 1, 1, 1, 1]
  - Column: user_id
    - Samples: [36129, 40299, 59125, 60776, 62013]
  - Column: review_stars
    - Samples: [2, 1, 5, 1, 5]
  - Column: review_votes_funny
    - Samples: [None, None, None, Low, None]
  - Column: review_votes_useful
    - Samples: [None, None, None, Low, None]
  - Column: review_votes_cool
    - Samples: [None, None, None, None, Low]
  - Column: review_length
    - Samples: [Medium, Short, Short, Long, Medium]
- Table: Tips
  - Column: business_id
    - Samples: [2, 2, 2, 2, 2]
  - Column: user_id
    - Samples: [12490, 16328, 19191, 25891, 34759]
  - Column: likes
    - Samples: [0, 0, 0, 0, 0]
  - Column: tip_length
    - Samples: [Medium, Medium, Short, Medium, Medium]
- Table: Users_Compliments
  - Column: compliment_id
    - Samples: [1, 1, 1, 1, 1]
  - Column: user_id
    - Samples: [3, 19, 45, 53, 102]
  - Column: number_of_compliments
    - Samples: [Medium, Low, Low, Low, Low]
- Table: Business
  - Column: business_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: active
    - Samples: [true, true, true, true, true]
  - Column: city
    - Samples: [Phoenix, Scottsdale, Scottsdale, Glendale, Scottsdale]
  - Column: state
    - Samples: [AZ, AZ, AZ, AZ, AZ]
  - Column: stars
    - Samples: [3.0, 4.5, 4.0, 4.0, 5.0]
  - Column: review_count
    - Samples: [Low, Medium, Medium, Low, Low]
- Table: Users
  - Column: user_id
    - Samples: [1, 2, 3, 4, 5]
  - Column: user_yelping_since_year
    - Samples: [2012, 2010, 2009, 2008, 2010]
  - Column: user_average_stars
    - Samples: [4.0, 2.5, 4.0, 4.5, 5.0]
  - Column: user_votes_funny
    - Samples: [Low, None, Uber, None, None]
  - Column: user_votes_useful
    - Samples: [Low, Medium, Uber, Medium, Low]
  - Column: user_votes_cool
    - Samples: [Low, Low, Uber, Low, Low]
  - Column: user_review_count
    - Samples: [Medium, Medium, High, Medium, Low]
  - Column: user_fans
    - Samples: [Low, None, Medium, None, None]

SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '8AM' AND T3.day_of_week LIKE 'Friday' GROUP BY T1.city