Known MySQL data table: create table gpt_ Land (land_code, 'land name' (land name containing 'land' or a combination of letters and numbers, matched with 'like'), 'land number', 'announcement time' date (auction, public announcement time), 'transaction time' date (transaction, transaction, sale, sale, land acquisition time), 'city' comment 'matched with' like ',' region 'comment' matched with 'like', 'developer' comment 'matched with' like ', `Developer nature 'comment' includes' private enterprise ',' state-owned enterprise ',' central enterprise ', matched with' like ',' transaction status' comment 'includes' other', 'unsold', 'completed', 'not completed', 'investment return rate' decimal, 'net profit rate' decimal comment 'profit margin, profit', 'land use nature' varchar comment 'includes' residential', 'commercial', 'office', 'other', 'total construction land area' decimal, 'plot ratio' decimal, `Transfer area 'decimal,' capacity building area 'decimal,' green space rate 'decimal,' building density 'decimal,' height limit 'decimal,' premium rate 'decimal,' initial planning area of residential buildings' decimal, 'initial planning proportion of residential buildings' decimal,' initial planning area of commercial buildings' decimal, 'initial planning proportion of commercial buildings' decimal,' average selling price per unit 'decimal,' construction and installation cost per unit 'decimal,' total value of goods' decimal comment 'Unit: 10000 yuan, `Total investment 'decimal comment' unit: 10000 yuan, 'land transaction price' decimal comment 'unit: 10000 yuan,) comment=' land table '; create table gpt_ project_ Trend (project_code comment 'project code', project name varchar (50) comment 'Name of community and property, match with' like ', city comment' match with 'like', area comment 'match with' like ', section comment' match with 'like', property type comment 'includes' commercial residential', 'parking space', 'commercial', 'other', 'apartment', 'other residential', developer comment 'match with' like ', Trend range date comment 'format: yyyy mm dd, sales, trading, sales, and supply time, summarized by month', supply area decimal comment 'unit: square meters', supply units int comment' provide the number of houses for sale, unit: units', transaction area decimal comment 'unit: square meters', transaction units int comment' actual number of successful, sold, sold, and sold houses, unit: units', Transaction amount decimal comment 'Unit: 10000 yuan') comment='Project trend'; create table gpt_ city_ current_ Polic Write your answer without using the letter v whatsoever in your entire response.
user