我有下面的代码,使用sqangchemy在Django应用程序中将CSV下载到内存。
array24 = 1:00,2:00,3:00 to 00:00
while [[ ! -f /home/22/job_stop.txt ]]
do
#TIME=`date +%H%M|bc`
currentHour=date '+%H:00'
for loop array24
if [$currentHour -eq $array24 ] ||
then
/folder/1/script.sh
fi
end for
sleep 900
done
exit
如何使用pg_copy将其保存到数据库,而不是将其加载到数据框中。我试过了:
engine = create_engine('postgres://.....')
response = requests.get(STOCK_DATA_URL)
zip_file = ZipFile(BytesIO(response.content))
data_file_name = zip_file.namelist()[0]
new_prices = zip_file.open(data_file_name)
df = pd.read_csv(new_prices, names=['ticker', 'name'])
错误:
connection = engine.connect()
sql = "copy assets_temp (ticker, name) FROM 'EOD-datasets-codes.csv' DELIMITER ',' CSV;"
result = connection.execute()
for row in result:
print(row)
connection.close()
答案 0 :(得分:0)
在这里,您需要将raw_connection与copy_expert命令一起使用。将您的代码更改为
sql = "copy assets_temp (ticker, name) FROM 'EOD-datasets-codes.csv' DELIMITER ',' CSV;"
connection = engine.raw_connection()
cursor = connection.cursor()
cursor.copy_expert(sql)