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将表名作为Python / Pandas / PostgreSQL中的函数参数传递

[英]Passing table name as a function parameter in Python/Pandas/PostgreSQL

I am trying to call table_name in my SQL query using the 'new' secure way (it is good against SQL injection attacks) as in here: http://initd.org/psycopg/docs/sql.html#module-psycopg2.sql but I can't make it work with my code (table_name is a parameter of my function). 我试图在我的SQL查询中使用'new'安全方式调用table_name(它可以很好地防止SQL注入攻击),如下所示: http//initd.org/psycopg/docs/sql.html#module-psycopg2。 sql但我无法使用我的代码(table_name是我的函数的参数)。

import pandas as pd
import psycopg2 as pg
import pandas.io.sql as psql
from psycopg2 import sql

sql_query = sql.SQL("SELECT * FROM {} limit %d offset %d" % (table_name, chunk_size, offset)).format(sql.Identifier(table_name)) 
df = psql.read_sql_query(sql_query, connection)

Any suggestions? 有什么建议么?

UPDATE (after a suggested answer): 更新(在建议的答案之后):

I tried with 我试过了

def import_table(self, connection, table_name, chunk_size, offset):
    sql = "SELECT * FROM {} limit %d offset %d" 
    qry = sql.format(**dict(table=table_name)) %(chunk_size, offset)
    df_piece = psql.read_sql_query(qry, connection)

And then calling it with: 然后调用它:

df = pd.concat(import_table(pg.connect("dbname=my_db user=my_user"), 'table_name', 100000, 0))

But I am getting an error: 但我收到一个错误:

---> 30             qry = sql_ct.format(**dict(table=table_name)) %  (chunk_size, offset)
 31             df_piece = psql.read_sql_query(qry, connection)
 32 

IndexError: tuple index out of range

Table names/column names can't be parameterized this way. 表名/列名不能以这种方式参数化。

It can and should be applied to values. 它可以而且应该应用于价值观。

Please read about Prepared statement 请阅读准备好的声明

Consider the following technique: 考虑以下技术:

# param. for str format:      vvvvv
In [9]: qry = "SELECT * FROM {table} limit %d offset %d"

In [10]: qry.format(**dict(table='my_table')) %(10, 500)
Out[10]: 'SELECT * FROM my_table limit 10 offset 500'

UPDATE: 更新:

In [53]: my_table = 'table_name'

In [54]: qry
Out[54]: 'SELECT * FROM {table} limit %d offset %d'

In [55]: qry.format(**dict(table=my_table)) %(10, 500)
Out[55]: 'SELECT * FROM table_name limit 10 offset 500'

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