我已经尝试用Python中的SQLAlchemy创建一个表MYTABLENAME
。我通过我的SQL客户机Dbeaver删除所有表,但是我得到一个表存在的错误,这样
Traceback (most recent call last):
File "/home/hhh/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 1182, in _execute_context
context)
File "/home/hhh/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/default.py", line 470, in do_execute
cursor.execute(statement, parameters)
psycopg2.ProgrammingError: relation "ix_MYTABLENAME_index" already exists
sqlalchemy.exc.ProgrammingError: (psycopg2.ProgrammingError) relation "ix_MYTABLENAME_index" already exists
[SQL: 'CREATE INDEX "ix_MYTABLENAME_index" ON "MYTABLENAME" (index)']
我用一个唯一的名称成功地创建了表及其插入,但是第二次尽管删除了Dbeaver中的表,我还是得到了错误。
小例子
from datetime import date
from sqlalchemy import create_engine
import numpy as np
import pandas as pd
def storePandasDF2PSQL(myDF_):
#Store results as Pandas Dataframe to PostgreSQL database.
#
#Example
#df=pd.DataFrame(np.random.randn(8, 4), columns=['A','B','C','D'])
#dbName= date.today().strftime("%Y%m%d")+"_TABLE"
#engine = create_engine('postgresql://hhh:yourPassword@localhost:1234/hhh')
#df.to_sql(dbName, engine)
df = myDF_
dbName = date.today().strftime("%Y%m%d")+"_TABLE"
engine = create_engine('postgresql://hhh:yourPassword@localhost:1234/hhh')
# ERROR: NameError: name 'table' is not defined
#table.declarative_base.metadata.drop_all(engine) #Drop all tables
#TODO: This step is causing errors because the SQLAlchemy thinks the
#TODO: table still exists even though deleted
df.to_sql(dbName, engine)
清理后端(例如一些挂起的索引)以便用新数据重新创建表的正确方法是什么?换句话说,如何解决这个错误?
最佳答案
问题可能来自sqlalchemy,它认为存在索引,因为删除表的消息没有通知sqlalchemy。有一种sqlalchemy方法可以删除表
table.declarative_base.metadata.drop_all(engine)
这应该让Sqlalchemy了解删除的情况。
关于python - Python SQLAlchemy:psycopg2.ProgrammingError关系已存在?,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/50107615/