Mysql database practical operation

• Orders table order
  • One-time orders Order Amount Receipt area under order number Customer id
  • id time num price part u_id
  • Inserted data
    • （1,"2019-01-01",1000,10000,"北京",2)
    • （2,"2019-05-01",1000,70000,"北京",1)
    • （3,"2019-04-01",4000,80000,"北京",3)
    • （4,"2019-08-01",6000,10000,"北京",5)
    • （5,"2019-02-01",1000,7000,"上海",4)
• Customer user list
  • Customer id User Name
  • u_id name
  • Inserted data
  • (1, "Dandan")
  • (2, "as used with")
  • (3, "cool")
  • (4 "circle")
  • (5, "Lily")
• Commodity goods table
  • Product id Product Name Order Number
  • g_id name id
  • Inserted data
  • (1, "computer", 1)
  • (2, "mobile phone", 3)
  • (3, "desktop", 4)
  • (4, a "smart plate", 5)
  • (5 "remote control", 2)
• 1, details of the amount of the order of 10,000 or more =
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• 2, the next single commodity details before July 1, 2019 of =
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• 3, the first time under a single customer's name and Receiving area
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• 4, the largest number of orders Commodity Description and Order Time =
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• 5, average order value of more than 8,000 trade names.
  • 
• 6. Receiving area is Beijing's commodity details number in ascending order by display 2 =
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• 7, each receipt area average order value =
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• 8. order value of 5000 or more orders, in descending order by the amount =
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• 9. The statistical average number of orders in all regions =
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• 10. screened order number for the order amount and names of 3
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