mirror of
https://github.com/sqlalchemy/sqlalchemy.git
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9b153ff18f
Change-Id: Iadaea7b798d8e99302e1acb430dc7b758ca61137
154 lines
4.2 KiB
Python
154 lines
4.2 KiB
Python
"""Illustrates the "materialized paths" pattern.
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Materialized paths is a way to represent a tree structure in SQL with fast
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descendant and ancestor queries at the expense of moving nodes (which require
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O(n) UPDATEs in the worst case, where n is the number of nodes in the tree). It
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is a good balance in terms of performance and simplicity between the nested
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sets model and the adjacency list model.
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It works by storing all nodes in a table with a path column, containing a
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string of delimited IDs. Think file system paths:
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1
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1.2
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1.3
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1.3.4
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1.3.5
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1.3.6
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1.7
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1.7.8
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1.7.9
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1.7.9.10
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1.7.11
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Descendant queries are simple left-anchored LIKE queries, and ancestors are
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already stored in the path itself. Updates require going through all
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descendants and changing the prefix.
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"""
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from sqlalchemy import Column
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from sqlalchemy import create_engine
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from sqlalchemy import func
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from sqlalchemy import Integer
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from sqlalchemy import select
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from sqlalchemy import String
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from sqlalchemy.dialects.postgresql import ARRAY
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import foreign
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from sqlalchemy.orm import relationship
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from sqlalchemy.orm import remote
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from sqlalchemy.orm import Session
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from sqlalchemy.sql.expression import cast
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Base = declarative_base()
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class Node(Base):
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__tablename__ = "node"
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id = Column(Integer, primary_key=True, autoincrement=False)
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path = Column(String(500), nullable=False, index=True)
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# To find the descendants of this node, we look for nodes whose path
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# starts with this node's path.
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descendants = relationship(
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"Node",
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viewonly=True,
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order_by=path,
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primaryjoin=remote(foreign(path)).like(path.concat(".%")),
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)
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# Finding the ancestors is a little bit trickier. We need to create a fake
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# secondary table since this behaves like a many-to-many join.
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secondary = select(
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id.label("id"),
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func.unnest(
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cast(
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func.string_to_array(
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func.regexp_replace(path, r"\.?\d+$", ""), "."
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),
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ARRAY(Integer),
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)
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).label("ancestor_id"),
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).alias()
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ancestors = relationship(
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"Node",
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viewonly=True,
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secondary=secondary,
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primaryjoin=id == secondary.c.id,
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secondaryjoin=secondary.c.ancestor_id == id,
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order_by=path,
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)
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@property
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def depth(self):
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return len(self.path.split(".")) - 1
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def __repr__(self):
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return f"Node(id={self.id})"
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def __str__(self):
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root_depth = self.depth
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s = [str(self.id)]
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s.extend(
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((n.depth - root_depth) * " " + str(n.id))
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for n in self.descendants
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)
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return "\n".join(s)
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def move_to(self, new_parent):
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new_path = new_parent.path + "." + str(self.id)
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for n in self.descendants:
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n.path = new_path + n.path[len(self.path) :]
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self.path = new_path
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if __name__ == "__main__":
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engine = create_engine(
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"postgresql+psycopg2://scott:tiger@localhost/test", echo=True
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)
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Base.metadata.create_all(engine)
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session = Session(engine)
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print("-" * 80)
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print("create a tree")
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session.add_all(
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[
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Node(id=1, path="1"),
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Node(id=2, path="1.2"),
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Node(id=3, path="1.3"),
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Node(id=4, path="1.3.4"),
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Node(id=5, path="1.3.5"),
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Node(id=6, path="1.3.6"),
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Node(id=7, path="1.7"),
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Node(id=8, path="1.7.8"),
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Node(id=9, path="1.7.9"),
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Node(id=10, path="1.7.9.10"),
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Node(id=11, path="1.7.11"),
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]
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)
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session.flush()
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print(str(session.query(Node).get(1)))
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print("-" * 80)
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print("move 7 under 3")
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session.query(Node).get(7).move_to(session.query(Node).get(3))
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session.flush()
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print(str(session.query(Node).get(1)))
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print("-" * 80)
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print("move 3 under 2")
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session.query(Node).get(3).move_to(session.query(Node).get(2))
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session.flush()
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print(str(session.query(Node).get(1)))
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print("-" * 80)
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print("find the ancestors of 10")
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print([n.id for n in session.query(Node).get(10).ancestors])
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session.close()
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Base.metadata.drop_all(engine)
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