Mike,

fist of all thank you a lot for your answers - it works for me now,
but I found issue case (it was necessary to test more thoroughly and 
describe the libraries, I use latest sqlalchemy and alembic)

so problem was when I had UniqueConstraint instead of PrimaryKeyConstraint.

*# UniqueConstraint case NOK*

outputs = Table(
    "outputs",
    de_db.metadata,
    Column("id", sa.BIGINT, autoincrement=True, nullable=False),
    Column("run_id", sa.Integer, nullable=False),
    Column("hotel", Integer, nullable=False),
    # sa.PrimaryKeyConstraint("id", "hotel", "run_id"),
    *UniqueConstraint*('id', 'hotel', 'run_id'),
)

*NOK* ->

CREATE TABLE outputs (
    id *BIGINT* NOT NULL, 
    run_id INTEGER NOT NULL, 
    hotel INTEGER NOT NULL, 
    UNIQUE (id, hotel, run_id)
)


*# PrimaryKeyConstraint OK*

outputs = Table(
    "outputs",
    de_db.metadata,
    Column("id", sa.BIGINT, autoincrement=True, nullable=False),
    Column("run_id", sa.Integer, nullable=False),
    Column("hotel", Integer, nullable=False),
    sa.*PrimaryKeyConstraint*("id", "hotel", "run_id"),
    # UniqueConstraint('id', 'hotel', 'run_id'),
)

*OK* ->

CREATE TABLE outputs (
    id *BIGSERIAL* NOT NULL, 
    run_id INTEGER NOT NULL, 
    hotel INTEGER NOT NULL, 
    PRIMARY KEY (id, hotel, run_id)
)

But anyway, your example with custom type works independently from 
anything, as expected:

class BIGSERIAL(sa.types.UserDefinedType):
    def get_col_spec(self, *args, **kwargs):
        return "BIGSERIAL"


outputs = Table(
    "outputs",
    de_db.metadata,
    Column("id", BIGSERIAL, nullable=False),
)

OK ->

CREATE TABLE outputs (
    id BIGSERIAL NOT NULL
)

thanks again for the solution,
Pavel

среда, 30 сентября 2020 г. в 16:56:50 UTC+4, Mike Bayer: 

> I just ran your test case, it generates BIGSERIAL, no warning is emitted 
> because I don't include primary_key=True on the column.  Can you ensure 
> SQLAlchemy is on latest 1.3 version and try the below MCVE?  if you can 
> modify it to show your problem that would help.
>
>
> import sqlalchemy as sa
> from sqlalchemy import BIGINT
> from sqlalchemy import Column
> from sqlalchemy import create_engine
> from sqlalchemy import ForeignKey
> from sqlalchemy import Integer
> from sqlalchemy import MetaData
> from sqlalchemy import Table
>
>
> m = MetaData()
>
>
> Table("runs", m, Column("id", Integer, primary_key=True))
>
> t = Table(
>     "outputs",
>     m,
>     Column("id", BIGINT, autoincrement=True, nullable=False),
>     # Partitioning columns
>     Column(
>         "run_id",
>         ForeignKey("runs.id", onupdate="CASCADE", ondelete="CASCADE"),
>         nullable=False,
>         index=True,
>     ),
>     Column("hotel", Integer, nullable=False),
>     sa.PrimaryKeyConstraint("id", "hotel", "run_id"),
>     postgresql_partition_by="range(hotel, run_id)",
> )
>
>
> e = create_engine("postgresql://scott:tiger@localhost/test", echo=True)
>
> m.drop_all(e)
> m.create_all(e)
>
> output:
>
> CREATE TABLE runs (
> id SERIAL NOT NULL,
> PRIMARY KEY (id)
> )
>
> CREATE TABLE outputs (
> id BIGSERIAL NOT NULL,
> run_id INTEGER NOT NULL,
> hotel INTEGER NOT NULL,
> PRIMARY KEY (id, hotel, run_id),
> FOREIGN KEY(run_id) REFERENCES runs (id) ON DELETE CASCADE ON UPDATE 
> CASCADE
> )
> PARTITION BY range(hotel, run_id)
>
>
>
>
>
> On Wed, Sep 30, 2020, at 4:21 AM, Павел Фролов wrote:
>
> Thank you for the answer, but how it can help...
> I tried, but I NEED autoincrement (SERIAL in postgres), NO NEED primary 
> key on this, particular column.
>
> Also I tried with Sequence and without autoincrement:
> Column('id', BIGINT, sa.Sequence('test_seq'), autoincrement=False, 
> nullable=False)
> no result too.
> I *need* to get:
> [sql] id BIGSERIAL
> but *got*:
> [sql] id BIGINT
> I found some *workaround*, but *with warning*:
> t = Table(
>     'outputs', metadata,
>     Column('id', BIGINT, primary_key=True, autoincrement=True, 
> nullable=False)
>     *# Partitioning columns*
>     Column('run_id', None, ForeignKey('runs.id', onupdate='CASCADE', 
> ondelete='CASCADE'), nullable=False, index=True),
>     Column('hotel', Integer, nullable=False),
>     sa.PrimaryKeyConstraint('id', 'hotel', 'run_id'),
>     postgresql_partition_by='range(hotel, run_id)'
> )
> in this case I got exactly what I want:
> CREATE TABLE me_hotels_bc_fb_prediction_steps_outputs (
> id BIGSERIAL NOT NULL, 
> run_id INTEGER NOT NULL, 
> hotel INTEGER NOT NULL, 
> PRIMARY KEY (id, hotel, run_id), 
> FOREIGN KEY(run_id) REFERENCES runs (id) ON DELETE CASCADE ON UPDATE 
> CASCADE
> )
>  PARTITION BY range(hotel, run_id)
>
> *warning*:
> sqlalchemy/sql/schema.py:3615: SAWarning:
>
> Table 'outputs' specifies columns 'id' as primary_key=True, not matching 
> locally specified columns 'id', 'hotel', 'run_id'; setting the current 
> primary key columns to 'id', 'hotel', 'run_id'. This warning may become an 
> exception in a future release
>
> вторник, 29 сентября 2020 г. в 21:05:47 UTC+4, Mike Bayer: 
>
>
> set autoincrement=False in the Column definition
>
> Column('id', BIGINT, autoincrement=False)
>
>
>
> On Tue, Sep 29, 2020, at 3:49 PM, Павел Фролов wrote:
>
> Hi all,
>
> I need just autoincrement without primary key, like:
>
> CREATE TABLE test (
>     id BIGSERIAL NOT NULL,
>     run_id INTEGER NOT NULL
> );
>
> How it's do with sqlalchemy core?
>
> I tried:
>
> sa.Column('id', sa.BIGINT(), sa.Sequence('test_seq')),
> or
> sa.Column('id', sa.BIGINT(), autoincrement=True),
> ->
> id BIGINT,
> (no serial)
>
> I see in docs that autoincrement can be only with primary key.
>
> I asked docs and google - can not find solution.
>
>
> --
> 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 
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> 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 
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The Python SQL Toolkit and Object Relational Mapper

http://www.sqlalchemy.org/

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