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[英]Error 'String or binary data would be truncated' in Microsoft SQL
[英]Python: DataError - String or Binary data would be truncated
我正在尝试将值插入到新创建的表中。 我收到以下错误:
row['Retailer'])
DataError: ('22001', '[22001] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]String or binary data would be truncated. (8152) (SQLExecDirectW); [22001] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]The statement has been terminated. (3621)')
我发现了具有类似问题的示例,似乎该问题涉及插入的字符串值包含的字符数超出了列的容纳范围。
但是,我尝试通过增加列的大小来解决此问题,但错误仍然出现。
from datetime import date
import pandas as pd
import pyodbc
import numpy as np
"""
for driver in pyodbc.drivers():
print(driver)
"""
#define the server name, database and login credentials
server = '#########'
database ='#########'
username='########'
password='#######'
#define connection string
cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server}; \
SERVER=' + server +';\
DATABASE='+ database +';\
UID='+ username +';\
PWD='+ password +';')
cnxn.autocommit = True
cursor = cnxn.cursor()
cursor.execute(" IF OBJECT_ID('dbo.vintage_data_2') IS NOT NULL\
DROP TABLE dbo.vintage_data_2; \
CREATE TABLE ABC.[dbo].vintage_data_2 \
([ConsumerID] float,[SubscriberID] numeric(11,0), \
[OpeningBalanceAmt] numeric(19,4),[AccountOpenedDate] varchar,\
[RetroDate] varchar,[Retailer] varchar(30))")
cnxn.commit()
for index,row in df.iterrows():
cursor.execute("INSERT INTO ABC.[dbo].vintage_data_2([ConsumerID],\
[SubscriberID],[OpeningBalanceAmt],[AccountOpenedDate],[RetroDate],\
,[Retailer]) \
values (?,?,?,?,?,?)",
row['CONSUMERID'],
row['SubscriberID'],
row['OpeningBalanceAmt'],
row['AccountOpenedDate'],
row['RetroDate'],
row['Retailer'])
cnxn.commit()
零售商列中的数据如下所示:
print(df['Retailer'])
0 Retailer 4
1 Retailer 6
2 Retailer 3
3 Retailer 6
4 Retailer 2
5 Retailer 6
6 Retailer 2
7 Retailer 5
8 Homechoice
使用不合格时要小心varchar
关键字CREATE TABLE,声明等。 varchar
通常是(总是?)解释为varchar(1)
在SQL Server中。
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