使用:

mongoimport -d 'database_name' -c 'collection_name' --type csv --headerline --file filepath/file_name.csv

我们需要执行以下命令:

mongoimport --host=127.0.0.1 -d database_name -c collection_name --type csv --file csv_location --headerline

-d是数据库名称 -c是集合名 如果使用——type csv或——type tsv，则使用第一行作为字段名。否则，mongoimport将第一行作为一个单独的文档导入。

欲了解更多信息:mongoimport

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.

罗伯特·斯图尔特的回答很好。

我想补充的是，你也可以输入你的字段——columHaveTypes和——字段像这样:

mongoimport -d myDb -c myCollection --type csv --file myCsv.csv 
  --columnsHaveTypes --fields "label.string(),code.string(),aBoolean.boolean()"

(注意字段之间的逗号后不要有空格)

对于其他类型，请参阅doc: https://docs.mongodb.com/manual/reference/program/mongoimport/#cmdoption-mongoimport-columnshavetypes

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。

您的示例适用于MongoDB 1.6.3和1.7.3。下面的示例是针对1.7.3的。您使用的是旧版本的MongoDB吗?

$ cat > locations.csv
Name,Address,City,State,ZIP
Jane Doe,123 Main St,Whereverville,CA,90210
John Doe,555 Broadway Ave,New York,NY,10010
 ctrl-d
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
connected to: 127.0.0.1
imported 3 objects
$ mongo
MongoDB shell version: 1.7.3
connecting to: test
> use mydb
switched to db mydb
> db.things.find()
{ "_id" : ObjectId("4d32a36ed63d057130c08fca"), "Name" : "Jane Doe", "Address" : "123 Main St", "City" : "Whereverville", "State" : "CA", "ZIP" : 90210 }
{ "_id" : ObjectId("4d32a36ed63d057130c08fcb"), "Name" : "John Doe", "Address" : "555 Broadway Ave", "City" : "New York", "State" : "NY", "ZIP" : 10010 }