so with PG12 and python 3.7 you *do* or *do not* see the slowdown?


On Thu, Mar 25, 2021, at 10:45 AM, Michaël Van de Steene wrote:
> Thanks for the quick reply! It does appear to be an environment issue on my 
> end then.
> 
> I've already tried a few things:
>  * Postgres 12
>  * Python 3.7
> So far no dice. This was all within docker though, I'll try a few more things 
> outside of the docker environment and report back.
> 
> On Thursday, 25 March 2021 at 14:02:29 UTC+1 Mike Bayer wrote:
>> __
>> Hi there -
>> 
>> thanks for the clear example.  I just ran it against a several PG databases, 
>> including a PG 13 and PG 12 on the local network, and I am not observing any 
>> delay of that magnitude, SQL output with timestamps follow.    
>> 
>> what OS are you running on ?       I would say you might want to try 
>> replicating these commands to plain asyncpg, but that will not necessarily 
>> produce the same sequence as we use prepared statements explicitly in all 
>> cases, or try running the equivalent commands with psycopg2 to see if 
>> there's some database-specific issue going on.   but you're running against 
>> a vanilla docker container so that's a little strange, try running the 
>> script from your workstation instead perhaps.
>> 
>> 2021-03-25 08:56:24,722 INFO sqlalchemy.engine.Engine BEGIN (implicit) 
>> 2021-03-25 08:56:24,723 INFO sqlalchemy.engine.Engine INSERT INTO "TableA" 
>> (a) VALUES (%s) RETURNING "TableA".id
>> 2021-03-25 08:56:24,723 INFO sqlalchemy.engine.Engine [generated in 
>> 0.00023s] ('ONE',)
>> 2021-03-25 08:56:24,754 DEBUG sqlalchemy.engine.Engine Col ('id',)
>> 2021-03-25 08:56:24,754 DEBUG sqlalchemy.engine.Engine Row (1,)
>> 2021-03-25 08:56:24,754 INFO sqlalchemy.engine.Engine COMMIT
>> 2021-03-25 08:56:24,758 INFO sqlalchemy.engine.Engine BEGIN (implicit)
>> 2021-03-25 08:56:24,759 INFO sqlalchemy.engine.Engine INSERT INTO "TableB" 
>> (b, c) VALUES (%s, %s) RETURNING "TableB".id
>> 2021-03-25 08:56:24,759 INFO sqlalchemy.engine.Engine [generated in 
>> 0.00019s] ('THREE', 'FIVE')
>> 2021-03-25 08:56:24,767 DEBUG sqlalchemy.engine.Engine Col ('id',)
>> 2021-03-25 08:56:24,767 DEBUG sqlalchemy.engine.Engine Row (1,)
>> 2021-03-25 08:56:24,768 INFO sqlalchemy.engine.Engine COMMIT
>> 2021-03-25 08:56:24,770 INFO sqlalchemy.engine.Engine BEGIN (implicit)
>> 2021-03-25 08:56:24,771 INFO sqlalchemy.engine.Engine INSERT INTO "TableB" 
>> (b, c) VALUES (%s, %s) RETURNING "TableB".id
>> 2021-03-25 08:56:24,771 INFO sqlalchemy.engine.Engine [cached since 0.01149s 
>> ago] ('FOUR', 'SIX')
>> 2021-03-25 08:56:24,772 DEBUG sqlalchemy.engine.Engine Col ('id',)
>> 2021-03-25 08:56:24,772 DEBUG sqlalchemy.engine.Engine Row (2,)
>> 2021-03-25 08:56:24,772 INFO sqlalchemy.engine.Engine COMMIT
>> 
>> 
>> 
>> On Thu, Mar 25, 2021, at 8:31 AM, Michaël Van de Steene wrote:
>>> Hi everyone,
>>> 
>>> We recently started using sqlalchemy in combination with asyncpg and are 
>>> observing some behaviour we can't quite figure out. I hope this is the 
>>> right place to get help, if it would be better addressed elsewhere please 
>>> let me know.
>>> 
>>> To frame the issue, we have a table with several enum columns. The first 
>>> time we access this table, there is a roughly 600 ms delay before any 
>>> results are returned. This seems to apply both for insert and select 
>>> operations. After that first access, everything seems speedy returning in 
>>> just a few milliseconds.
>>> 
>>> I've created a short example application to show this problem:
>>> import asyncio
>>> import enum
>>> from sqlalchemy import Enum, Column, Integer
>>> from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
>>> from sqlalchemy.ext.declarative import declarative_base
>>> from sqlalchemy.orm import sessionmaker
>>> 
>>> Base = declarative_base()
>>> 
>>> 
>>> class A(enum.Enum):
>>>     ONE = 1
>>>     TWO = 2
>>> 
>>> 
>>> class B(enum.Enum):
>>>     THREE = 3
>>>     FOUR = 4
>>> 
>>> 
>>> class C(enum.Enum):
>>>     FIVE = 5
>>>     SIX = 6
>>> 
>>> 
>>> class RecordA(Base):
>>>     __tablename__ = "TableA"
>>> 
>>>     id = Column(Integer, primary_key=True, autoincrement=True)
>>>     a = Column(Enum(A))
>>> 
>>> 
>>> class RecordB(Base):
>>>     __tablename__ = "TableB"
>>> 
>>>     id = Column(Integer, primary_key=True, autoincrement=True)
>>>     b = Column(Enum(B))
>>>     c = Column(Enum(C))
>>> 
>>> 
>>> async def main(db_url):
>>>     engine = create_async_engine(db_url, echo="debug")
>>>     Session = sessionmaker(engine, expire_on_commit=False, 
>>> class_=AsyncSession)
>>> 
>>>     async with engine.begin() as conn:
>>>         await conn.run_sync(Base.metadata.drop_all)
>>>         await conn.run_sync(Base.metadata.create_all)
>>> 
>>>     async with Session() as session:
>>>         async with session.begin():
>>>             session.add(RecordA(a=A.ONE))
>>>         async with session.begin():
>>>             session.add(RecordB(b=B.THREE, c=C.FIVE))
>>>         async with session.begin():
>>>             session.add(RecordB(b=B.FOUR, c=C.SIX))
>>> 
>>> 
>>> asyncio.run(main(
>>>     "postgresql+asyncpg://postgres:exa...@host.docker.internal/postgres"))
>>> 
>>> The logging of the three insert operations shows:
>>> 2021-03-25 12:14:10,224 INFO sqlalchemy.engine.Engine BEGIN (implicit)
>>> 2021-03-25 12:14:10,225 INFO sqlalchemy.engine.Engine INSERT INTO "TableA" 
>>> (a) VALUES (%s) RETURNING "TableA".id
>>> 2021-03-25 12:14:10,225 INFO sqlalchemy.engine.Engine [generated in 
>>> 0.00011s] ('ONE',)
>>> 2021-03-25 12:14:10,296 DEBUG sqlalchemy.engine.Engine Col ('id',)
>>> 2021-03-25 12:14:10,296 DEBUG sqlalchemy.engine.Engine Row (1,)
>>> 2021-03-25 12:14:10,296 INFO sqlalchemy.engine.Engine COMMIT
>>> 2021-03-25 12:14:10,299 INFO sqlalchemy.engine.Engine BEGIN (implicit)
>>> 2021-03-25 12:14:10,299 INFO sqlalchemy.engine.Engine INSERT INTO "TableB" 
>>> (b, c) VALUES (%s, %s) RETURNING "TableB".id
>>> 2021-03-25 12:14:10,299 INFO sqlalchemy.engine.Engine [generated in 
>>> 0.00012s] ('THREE', 'FIVE')
>>> 2021-03-25 12:14:10,906 DEBUG sqlalchemy.engine.Engine Col ('id',)
>>> 2021-03-25 12:14:10,906 DEBUG sqlalchemy.engine.Engine Row (1,)
>>> 2021-03-25 12:14:10,906 INFO sqlalchemy.engine.Engine COMMIT
>>> 2021-03-25 12:14:10,924 INFO sqlalchemy.engine.Engine BEGIN (implicit)
>>> 2021-03-25 12:14:10,924 INFO sqlalchemy.engine.Engine INSERT INTO "TableB" 
>>> (b, c) VALUES (%s, %s) RETURNING "TableB".id
>>> 2021-03-25 12:14:10,924 INFO sqlalchemy.engine.Engine [cached since 0.625s 
>>> ago] ('FOUR', 'SIX')
>>> 2021-03-25 12:14:10,926 DEBUG sqlalchemy.engine.Engine Col ('id',)
>>> 2021-03-25 12:14:10,926 DEBUG sqlalchemy.engine.Engine Row (2,)
>>> 2021-03-25 12:14:10,926 INFO sqlalchemy.engine.Engine COMMIT
>>> 
>>> I've highlighted the timestamps showing the 600 ms delay in red.
>>> It seems as if:
>>>  * An insert with just 1 enum does not incur delay
>>>  * An insert with 2 enums incurs delays
>>>  * A subsequent insert using those same enums doesn't incur delay
>>> I'm at a loss to explain this behaviour. As I mentioned we're quite new to 
>>> SQLAlchemy. Is there anything we're doing wrong?
>>> 
>>> The output is generated using:
>>>  * PostgreSQL 13.2
>>>  * Python 3.9.2
>>>  * SQLAlchemy 1.4.2
>>>  * Asyncpg 0.22.0
>>> 
>>> Finally, run instructions using docker just in case it can help to quickly 
>>> reproduce:
>>>  1. Save the example as `asyncpg_enum.py` in the current directory
>>>  2. Run docker run -d --name=postgres -e POSTGRES_PASSWORD="example" -p 
>>> 5432:5432 postgres
>>>  3. Run docker run -it -v ${PWD}/asyncpg_enum.py:/asyncpg_enum.py python 
>>> bash -c 'pip install sqlalchemy asyncpg && python /asyncpg_enum.py'
>>> Any insight or things to check would be appreciated.
>>> 
>>> Thanks,
>>> Michael
>>> 

>>> -- 
>>> SQLAlchemy - 
>>> The Python SQL Toolkit and Object Relational Mapper
>>>  
>>> http://www.sqlalchemy.org/
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>>> To post example code, please provide an MCVE: Minimal, Complete, and 
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>> 
> 

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>  
> http://www.sqlalchemy.org/
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> Verifiable Example. See http://stackoverflow.com/help/mcve for a full 
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http://www.sqlalchemy.org/

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