使用Python将CSV文件写入Redshift

Question

When i was trying to execute the below script i am receiving an error "too many arguments", my csv file had around 28 columns and 30 rows. All connections are working fine its reading correctly and no other issues, as per the log i understand that i cant write more than 2 or 3 columns to the table in redshift

import psycopg2
import csv
import time
import datetime
import pandas as pd
import sys
reload (sys)
sys.setdefaultencoding('utf8')
psycopg2.extensions.register_type(psycopg2.extensions.UNICODE)
psycopg2.extensions.register_type(psycopg2.extensions.UNICODEARRAY)
print('script sterts')
connect=psycopg2.connect(dbname='db',host='***********',port=5439,user='****',password='********')
cur=connect.cursor()
print('begin execute')
up_pgm_list = pd.read_csv ('/prod/user/home/dqe933/FNI.csv')
with open('/prod/user/home/dqe933/FNI.csv', 'Ur') as csvfile:
         spamreader=csv.reader(csvfile,delimiter=',') 
         for row in spamreader:
                 cur.execute("""INSERT INTO UD_INTERIM.dqe933_fni_new(col1,col2,col3,col4,col5,col6,col7,col8,col9,col10,col11,
          col12,col13,col14,col15,col16,col17,col18,col19,col20,col21,col22,col23,col24,col25,col26,col27,col28)values(?,?,?,
          ?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""",*row)

print('complete')`enter code here`

Answer 1

row shouldn't be unpacked. Make sure it's an iterable consisting of 28 items.

cur.execute("""INSERT INTO UD_INTERIM.dqe933_fni_new(col1,col2,col3,col4,col5,col6,col7,col8,col9,col10,col11,col12,col13,col14,col15,col16,col17,col18,col19,col20,col21,col22,col23,col24,col25,col26,col27,col28) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""", row)