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如何在postgresql上使用sqlalchemy进行正确的upsert?

如何解决《如何在postgresql上使用sqlalchemy进行正确的upsert?》经验,为你挑选了1个好方法。

我想使用sqlalchemy核心使用postgresql 9.5添加的"新"功能进行upsert.虽然它已经实现,但我对语法很困惑,我无法适应我的需求.以下是我希望能够做的示例代码:

from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class User(Base):
__tablename__ = 'test'
a_id = Column('id',Integer, primary_key=True)
a = Column("a",Integer)

engine = create_engine('postgres://name:password@localhost/test')
User().metadata.create_all(engine)
meta = MetaData(engine)
meta.reflect()
table = Table('test', meta, autoload=True)
conn = engine.connect()

from sqlalchemy.dialects.postgresql import insert as psql_insert
stmt = psql_insert(table).values({table.c['id']: bindparam('id'),
          table.c['a']: bindparam('a')})
stmt = stmt.on_conflict_do_update(
    index_elements=[table.c['id']],
    set_={'a': bindparam('a')})
list_of_dictionary = [{'id':1, 'a':1, }, {'id':2, 'a':2,}]
conn.execute(stmt, list_of_dictionary)

我基本上想要插入大量的行,如果已经有一个id,我想用我初始想要插入的值来更新它.但sqlalchemy给我这个错误:

CompileError: bindparam() name 'a' is reserved for automatic usage in the VALUES or SET clause of this insert/update statement.   Please use a name other than column name when using bindparam() with insert() or update() (for example, 'b_a').

虽然这是一个已知问题(请参阅https://groups.google.com/forum/#!topic/sqlalchemy/VwiUlF1cz_o),但我没有找到任何正确的答案,不需要修改list_of_dictionary的键或者列的名称.

我想知道是否有一种方法来构建stmt,以便具有一致的行为,而不依赖于变量list_of_dictionary的键是否是插入表的列的名称(我的代码在那些中没有错误地工作)例).



1> Ryan Tuck..:

这对我有用:

from sqlalchemy import create_engine
from sqlalchemy import MetaData, Table
from sqlalchemy.dialects import postgresql
from sqlalchemy.inspection import inspect

def upsert(engine, schema, table_name, records=[]):

    metadata = MetaData(schema=schema)
    metadata.bind = engine

    table = Table(table_name, metadata, schema=schema, autoload=True)

    # get list of fields making up primary key
    primary_keys = [key.name for key in inspect(table).primary_key]

    # assemble base statement
    stmt = postgresql.insert(table).values(records)

    # define dict of non-primary keys for updating
    update_dict = {
        c.name: c
        for c in stmt.excluded
        if not c.primary_key
    }

    # cover case when all columns in table comprise a primary key
    # in which case, upsert is identical to 'on conflict do nothing.
    if update_dict == {}:
        warnings.warn('no updateable columns found for table')
        # we still wanna insert without errors
        insert_ignore(table_name, records)
        return None


    # assemble new statement with 'on conflict do update' clause
    update_stmt = stmt.on_conflict_do_update(
        index_elements=primary_keys,
        set_=update_dict,
    )

    # execute
    with engine.connect() as conn:
        result = conn.execute(update_stmt)
        return result

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