We have a an existing PostgreSQL 9.6 database that we would like to upgrade to PostgreSQL 11 mostly for the purpose of partitioning a large (soon to be huge) table using PostgreSQL Declarative Partitioning. Our database has been implemented with declarative SA ORM with migrations managed by Alembic. The table (simplified for posting) looks like this:
class Ep(db.Model): __tablename__ = 'ep' id = Column(BigInteger, Sequence('id_ep_seq'), primary_key=True) ep_date = Column(DateTime, nullable=False) r = Column(Float, nullable=False) d = Column(Float, nullable=False) m = Column(Float) We intend to partition by ranges of ep_date (by day). As yet we have not found any examples or how-to's on how to proceed, i.e. modifying the model and ORM code to implement the PARTITION BY RANGE() postgresql dialect statements. We notice that there is a python package *architect *that apparently can (with decorator functions) help with this, but its documentation appears very limited at present. Guidance or examples from anybody with insight on this issue would be appreciated. -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To post to this group, send email to sqlalchemy@googlegroups.com. Visit this group at https://groups.google.com/group/sqlalchemy. For more options, visit https://groups.google.com/d/optout.