from sqlalchemy import Column, Integer, ARRAY from sqlalchemy.ext.declarative import declarative_base Base = declarative_base() class MyTable(Base): __tablename__ = 'my_table' id = Column(Integer, primary_key=True) my_array_col = Column(ARRAY(Integer))
from sqlalchemy import create_engine, select from sqlalchemy.dialects.postgresql import array from myapp.models import MyTable engine = create_engine('postgresql://user:password@localhost/mydatabase') with engine.connect() as conn: result = conn.execute(select(MyTable.my_array_col)) for row in result: my_array = row[0] print(my_array)In this example, we use the SQLAlchemy `select` statement to fetch the `my_array_col` column from the `MyTable`. We also import the `array` function from `sqlalchemy.dialects.postgresql` to properly output the array elements. Overall, the `sqlalchemy.dialects.postgresql` package library is used to support PostgreSQL-specific features in SQLAlchemy, including the `ARRAY` datatype, and provides a convenient way for Python developers to interact with PostgreSQL databases.