| SchemaSpy Analysis of sakila - Columns | Generated by SchemaSpy |
| Generated by SchemaSpy on Thu Aug 12 09:42 MDT 2010 |
| ||||||
|
| |||||||
sakila contains 131 columns - click on heading to sort:
| Table | Column | Type | Size | Nulls | Auto | Default | Comments |
|---|---|---|---|---|---|---|---|
| customer_list | notes | varchar | 6 | ||||
| actor_info | actor_id | smallint unsigned | 5 | 0 | |||
| film_list | FID | smallint unsigned | 5 | √ | 0 | ||
| nicer_but_slower_film_list | FID | smallint unsigned | 5 | √ | 0 | ||
| staff_list | ID | tinyint unsigned | 3 | 0 | |||
| customer_list | ID2 | smallint unsigned | 5 | 0 | |||
| customer | active | bit | 0 | 1 | |||
| staff | active | bit | 0 | 1 | |||
| film | replacement_cost | decimal | 5,2 | 19.99 | |||
| film | rental_duration | tinyint unsigned | 3 | 3 | |||
| film_list | price | decimal | 4,2 | √ | 4.99 | ||
| nicer_but_slower_film_list | price | decimal | 4,2 | √ | 4.99 | ||
| film | rental_rate | decimal | 4,2 | 4.99 | |||
| actor | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| address | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| category | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| city | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| country | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| customer | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| film | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| film_actor | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| film_category | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| inventory | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| language | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| payment | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| rental | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| staff | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| store | last_update | timestamp | 19 | CURRENT_TIMESTAMP | |||
| film | rating | enum | 5 | √ | G | ||
| film_list | rating | enum | 5 | √ | G | ||
| nicer_but_slower_film_list | rating | enum | 5 | √ | G | ||
| actor | actor_id | smallint unsigned | 5 | √ | |||
| film_actor | actor_id | smallint unsigned | 5 | ||||
| film_list | actors | varchar | 341 | √ | null | ||
| nicer_but_slower_film_list | actors | varchar | 341 | √ | null | ||
| address | address | varchar | 50 | ||||
| customer_list | address | varchar | 50 | ||||
| staff_list | address | varchar | 50 | ||||
| address | address2 | varchar | 50 | √ | null | ||
| address | address_id | smallint unsigned | 5 | √ | |||
| customer | address_id | smallint unsigned | 5 | ||||
| staff | address_id | smallint unsigned | 5 | ||||
| store | address_id | smallint unsigned | 5 | ||||
| payment | amount | decimal | 5,2 | ||||
| film_list | category | varchar | 25 | ||||
| nicer_but_slower_film_list | category | varchar | 25 | ||||
| sales_by_film_category | category | varchar | 25 | ||||
| category | category_id | tinyint unsigned | 3 | √ | |||
| film_category | category_id | tinyint unsigned | 3 | ||||
| city | city | varchar | 50 | ||||
| customer_list | city | varchar | 50 | ||||
| staff_list | city | varchar | 50 | ||||
| address | city_id | smallint unsigned | 5 | ||||
| city | city_id | smallint unsigned | 5 | √ | |||
| country | country | varchar | 50 | ||||
| customer_list | country | varchar | 50 | ||||
| staff_list | country | varchar | 50 | ||||
| city | country_id | smallint unsigned | 5 | ||||
| country | country_id | smallint unsigned | 5 | √ | |||
| customer | create_date | datetime | 19 | ||||
| customer | customer_id | smallint unsigned | 5 | √ | |||
| payment | customer_id | smallint unsigned | 5 | ||||
| rental | customer_id | smallint unsigned | 5 | ||||
| film | description | text | 65535 | √ | null | ||
| film_list | description | text | 65535 | √ | null | ||
| film_text | description | text | 65535 | √ | null | ||
| nicer_but_slower_film_list | description | text | 65535 | √ | null | ||
| address | district | varchar | 20 | ||||
| customer | varchar | 50 | √ | null | |||
| staff | varchar | 50 | √ | null | |||
| film | film_id | smallint unsigned | 5 | √ | |||
| film_actor | film_id | smallint unsigned | 5 | ||||
| film_category | film_id | smallint unsigned | 5 | ||||
| film_text | film_id | smallint | 5 | ||||
| inventory | film_id | smallint unsigned | 5 | ||||
| actor_info | film_info | varchar | 341 | √ | null | ||
| actor | first_name | varchar | 45 | ||||
| actor_info | first_name | varchar | 45 | ||||
| customer | first_name | varchar | 45 | ||||
| staff | first_name | varchar | 45 | ||||
| inventory | inventory_id | mediumint unsigned | 8 | √ | |||
| rental | inventory_id | mediumint unsigned | 8 | ||||
| film | language_id | tinyint unsigned | 3 | ||||
| language | language_id | tinyint unsigned | 3 | √ | |||
| actor | last_name | varchar | 45 | ||||
| actor_info | last_name | varchar | 45 | ||||
| customer | last_name | varchar | 45 | ||||
| staff | last_name | varchar | 45 | ||||
| film | length | smallint unsigned | 5 | √ | null | ||
| film_list | length | smallint unsigned | 5 | √ | null | ||
| nicer_but_slower_film_list | length | smallint unsigned | 5 | √ | null | ||
| sales_by_store | manager | varchar | 91 | √ | null | ||
| store | manager_staff_id | tinyint unsigned | 3 | ||||
| category | name | varchar | 25 | ||||
| customer_list | name | varchar | 91 | √ | null | ||
| language | name | char | 20 | ||||
| staff_list | name | varchar | 91 | √ | null | ||
| film | original_language_id | tinyint unsigned | 3 | √ | null | ||
| staff | password | varchar | 40 | √ | null | ||
| payment | payment_date | datetime | 19 | ||||
| payment | payment_id | smallint unsigned | 5 | √ | |||
| address | phone | varchar | 20 | ||||
| customer_list | phone | varchar | 20 | ||||
| staff_list | phone | varchar | 20 | ||||
| staff | picture | blob | 65535 | √ | null | ||
| address | postal_code | varchar | 10 | √ | null | ||
| film | release_year | year | 0 | √ | null | ||
| rental | rental_date | datetime | 19 | ||||
| payment | rental_id | int | 10 | √ | null | ||
| rental | rental_id | int | 10 | √ | |||
| rental | return_date | datetime | 19 | √ | null | ||
| customer_list | SID | tinyint unsigned | 3 | ||||
| staff_list | SID | tinyint unsigned | 3 | ||||
| film | special_features | set | 54 | √ | null | ||
| payment | staff_id | tinyint unsigned | 3 | ||||
| rental | staff_id | tinyint unsigned | 3 | ||||
| staff | staff_id | tinyint unsigned | 3 | √ | |||
| sales_by_store | store | varchar | 101 | √ | null | ||
| customer | store_id | tinyint unsigned | 3 | ||||
| inventory | store_id | tinyint unsigned | 3 | ||||
| staff | store_id | tinyint unsigned | 3 | ||||
| store | store_id | tinyint unsigned | 3 | √ | |||
| film | title | varchar | 255 | ||||
| film_list | title | varchar | 255 | √ | null | ||
| film_text | title | varchar | 255 | ||||
| nicer_but_slower_film_list | title | varchar | 255 | √ | null | ||
| sales_by_film_category | total_sales | decimal | 27,2 | √ | null | ||
| sales_by_store | total_sales | decimal | 27,2 | √ | null | ||
| staff | username | varchar | 16 | ||||
| customer_list | zip code | varchar | 10 | √ | null | ||
| staff_list | zip code | varchar | 10 | √ | null |