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Joining Multiple Tables in SQLAlchemy
In SQLAlchemy, joining tables enables the combination of data from multiple related entities. To illustrate this, consider the following example:
Suppose you have the following mapped classes representing users, documents, and document permissions:
class User(Base): __tablename__ = 'users' email = Column(String, primary_key=True) name = Column(String) class Document(Base): __tablename__ = "documents" name = Column(String, primary_key=True) author = Column(String, ForeignKey("users.email")) class DocumentsPermissions(Base): __tablename__ = "documents_permissions" readAllowed = Column(Boolean) writeAllowed = Column(Boolean) document = Column(String, ForeignKey("documents.name"))
To retrieve a table that includes information about users, documents, and document permissions for a specific user, you can use the following query:
q = Session.query( User, Document, DocumentPermissions, ).filter( User.email == Document.author, ).filter( Document.name == DocumentPermissions.document, ).filter( User.email == 'someemail', ).all()
This query:
By executing this query, you can efficiently retrieve all relevant information from the three related tables in a single request, providing a comprehensive view of data pertaining to the specified user.
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