![]() bind # access a column's name, type, nullable, primary key, foreign key employees. metadata # access the table's bound Engine or Connection, if its MetaData is bound: employees. foreign_keys : print ( fkey ) # access the table's MetaData: employees. primary_key : print ( primary_key ) # get the table's foreign key objects: for fkey in employees. c : print ( c ) # get the table's primary key columns for primary_key in employees. c # iterate through all columns for c in employees. # access the column "employee_id": employees. List of each Table object in order of foreign keyĭependency (that is, each table is preceded by all tables which it These table objects, such as the sorted_tables accessor which returns a The MetaData object contains all of the schemaĬonstructs we’ve associated with it. Varying levels of specificity as well as the ability to create custom types.ĭocumentation on the type system can be found at SQL Datatype Objects. To genericized types, such as Integer and Note also that each column describes its datatype using objects corresponding Primary key, known as a composite primary key. May be assigned the primary_key=True flag which denotes a multi-column ![]() Primary key of the table consists of the user_id column. Setting a Default Schema for New Connectionsįrom sqlalchemy import Table, Column, Integer, String user = Table ( "user", metadata_obj, Column ( "user_id", Integer, primary_key = True ), Column ( "user_name", String ( 16 ), nullable = False ), Column ( "email_address", String ( 60 )), Column ( "nickname", String ( 50 ), nullable = False ), )Ībove, a table called user is described, which contains four columns. ![]() Applying Dynamic Schema Naming Conventions.Specifying a Default Schema Name with MetaData.Altering Database Objects through Migrations.SQL Expression Language Tutorial (1.x API). ![]()
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