包含联系方式的CSV文件:
Name,Address,City,State,ZIP
Jane Doe,123 Main St,Whereverville,CA,90210
John Doe,555 Broadway Ave,New York,NY,10010
运行这个不会向数据库添加文档:
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
Trace说导入了1个对象，但是在MongoDB shell中运行db.things.find()不会显示任何新文档。
我错过了什么?
当前回答
C:\wamp\mongodb\bin>mongoexport——db proj_mmm——collection offerings——csv——fieldFile offerings_fields.txt——out offerings_csv
其他回答
只需在执行mongoimport后使用它
它将返回导入对象的数量
use db
db.collectionname.find().count()
将返回对象的数目。
如果您有多个文件，并且希望使用python导入所有文件，您可以执行以下操作。
import os
import subprocess
# directory of files
dir_files = 'C:\data'
# create list of all files
_, _, fns = next(os.walk(dir_files))
files = [os.path.join(dir_files, fn) for fn in fns]
# mongotool address
mongotool = r'C:\Program Files\MongoDB\Server\4.4\bin\mongoimport.exe'
# name of mongodb database
mydatabase = 'mydatabase'
# name of mongodb collection
mycollection = 'mycollection'
# import all files to mongodb
for fl in files:
commands =[mongotool, '--db', mydatabase,
'--collection', mycollection,
'--file', fl,
'--type', 'tsv',
'--headerline']
subprocess.Popen(commands, shell=True)
对于3.4版本，请使用以下语法:
mongoimport -u "username" -p "password" -d "test" -c "collections" --type csv --file myCsv.csv --headerline
3天后，我终于靠自己做到了。感谢所有支持我的用户。
I was perplexed with a similar problem where mongoimport did not give me an error but would report importing 0 records. I had saved my file that didn't work using the OSX Excel for Mac 2011 version using the default "Save as.." "xls as csv" without specifying "Windows Comma Separated(.csv)" format specifically. After researching this site and trying the "Save As again using "Windows Comma Separated (.csv)" format, mongoimport worked fine. I think mongoimport expects a newline character on each line and the default Mac Excel 2011 csv export didn't provide that character at the end of each line.
当我试图导入CSV文件时，我得到了一个错误。我所做的。 首先，我用大写字母更改了标题行的列名，并删除了“-”，并在需要时添加了“_”。然后输入下面的命令导入CSV到mongo
$ mongoimport --db=database_name --collection=collection_name --type=csv --file=file_name.csv --headerline
