问题
I\'m currently using MySQL and Python to scrape data from the web. Specifically, I am scraping table data and inserting it into my database. My current solution works, but I feel it is extremely inefficient and will most likely lock up my database if I don\'t rewrite the code. Here is what I currently use (partial code):
itemBank = []
for row in rows:
itemBank.append((tempRow2,tempRow1,tempRow3,tempRow4)) #append data
#itemBank List of dictionaries representing data from each
row of the table. i.e.
(\'Item_Name\':\"Tomatoes\",\'Item_Price\':\"10\",\'Item_In_Stock\':\"10\",\'Item_Max\':\"30\")
for item in itemBank:
tempDict1 = item[0]
tempDict2 = item[1]
tempDict3 = item[2]
tempDict4 = item[3]
q = \"\"\" INSERT IGNORE INTO
TABLE1
(
Item_Name,
Item_Price,
Item_In_Stock,
Item_Max,
Observation_Date
) VALUES (
\"{0}\",
\"{1}\",
\"{2}\",
\"{3}\",
\"{4}\"
)
\"\"\".format(tempDict1[\'Item_Name\'],tempDict2[\'Item_Price\'],tempDict3[\'Item_In_Stock\'],
tempDict4[\'Item_Max\'],getTimeExtra)
try:
x.execute(q)
conn.commit()
except:
conn.rollback()
Executing each row of the table is cumbersome. I\'ve tried using executemany
, but I can\'t seem to figure out how to access the values of the dictionaries correctly.
So, how can I use executemany
here to insert into the database given the structure of my data?
回答1:
itemBank = []
for row in rows:
itemBank.append((
tempRow2['Item_Name'],
tempRow1['Item_Price'],
tempRow3['Item_In_Stock'],
tempRow4['Item_Max'],
getTimeExtra
)) #append data
q = """ insert ignore into TABLE1 (
Item_Name, Item_Price, Item_In_Stock, Item_Max, Observation_Date )
values (%s,%s,%s,%s,%s)
"""
try:
x.executemany(q, itemBank)
conn.commit()
except:
conn.rollback()
Hope it will help you
来源:https://stackoverflow.com/questions/18244565/how-can-i-use-executemany-to-insert-into-mysql-a-list-of-dictionaries-in-python