I have one csv which have data in below format
Mobile,Address
1234567890,My address
1234567891,My address
1234567892,My address
+911234567893,My address
+911234567894,My address
When I import data into mongodb using below command then + is getting removed from mobile column because mongoimport is inserting mobile as NumberLong.
mongoimport --db test -c testcoll --type csv --file test.csv --headerline
But I want to insert the data as it is. SO I tried to store it as string using below command
mongoimport --db test -c testcoll --type csv --columnsHaveTypes --fields \"Mobile.string()"\ --file test.csv --headerline
But above command is not working.
Note: I only want to change data type for mobile column . Other column will be inserted as per mongoimport default behaviour
I think you should decide between using the --fields or the --headerline parameter
You would have either the type specification through --headerline in the csv-file with command:
mongoimport --db test -c testcoll --type csv --columnsHaveTypes --headerline --file test.csv
Mobile.string(),Address.auto()
1234567890,My address
1234567891,My address
1234567892,My address
+911234567893,My address
+911234567894,My address
Or you can specify --fields in your command :
mongoimport --db test -c testcoll --type csv --columnsHaveTypes --fields 'Mobile.string(),Address.auto()' --file test.csv
And remove the header from the csv:
1234567890,My address
1234567891,My address
1234567892,My address
+911234567893,My address
+911234567894,My address
I am exporting collection to CSV format in MongoDB. while exporting into CSV I have put all the fieldname into a text file. but, it is not exporting the data in the collection, only header are exported.
WHERE IS THE PROBLEM?
mongoexport --db users --collection contacts --type=csv --fieldFile c:/data.txt --out /opt/backups/contacts.csv
I have saved fieldname in data.txt as
email XOXA
name XOXA
You don't need to export field names to a separate file if you are not using really old mongo version.
Try this
mongoexport --db users --collection contacts --type=csv -f email,name --out /opt/backups/contacts.csv
Make sure that you don't have spaces between field names
-f email, name // this is wrong
If this command works, then you have problem with your fieldFile.
Here is query I am using:
mongoimport -c analyst -d usersight --type csv --columnsHaveTypes --headerline "_id.string(),Dimension.string(),Media.string(),Sentiment.string(),Popularity.string(),Date.date(2006-01-02T15:04:05.000Z\),Keywords.string()" --file test.csv
If I Specify without --headerline ,using --fields and removing first row from CSV it works fine.
Here is the sample data:
_id,Dimension,Media,Sentiment,Popularity,Date,Keywords
ObjectId(5a1be7b491be4fc23b516649),Twitter,Neutral,,,2015-12-31T18:30:00.000Z,,
ObjectId(5a1be7b491be4fc23b51664d),Twitter,Neutral,,,2015-12-31T18:30:00.000Z,,
Please tell where I am wrong.
The command below will import the csv
mongoimport -c analyst -d usersight --columnsHaveTypes --type csv --headerline --file test.csv
the data has to be changed to such:
Dimension.string(),Media.string(),Sentiment.string(),Popularity.string(),Date.date(2006-01-02T15:04:05.000Z\),Keywords.string()
Twitter,Neutral,,,2015-12-31T18:30:00.000Z,,
Unfortunately, I dont think --columnsHaveTypes can be use to import ObjectId
I'm trying to import a csv into mongodb using the following command:
mongoimport --db users --collection contacts --file data.csv
--headerline
The database exists but not the collection, I want to create it and use the first row of the csv as the field names. Why am I getting error:
error validating settings: must specify --fields, --fieldFile or
--headerline to import this file type
I also would like to know:
how to copy/import data from one collection into another (basically
the syntax)
how datatypes from csv are handled in mongodb when
imported; do I need to specify datatypes for headers or will mongodb
read it from csv types?
To solve this:
Either make sure the first line of your data.csv file has field names of the data to be parsed and then execute:
mongoimport --db users --collection contacts --type csv --headerline --file data.csv
Or
Define the list of field names that the values of csv would be parsed in using --fields
mongoimport --db users --collection contacts --type csv --file data.csv --fields["name","surname","etc"]
You should write command like this:
mongoimport --db users --collection contacts --type csv --file data.csv --fields "name","surname","etc"
CSV file with contact information:
Name,Address,City,State,ZIP
Jane Doe,123 Main St,Whereverville,CA,90210
John Doe,555 Broadway Ave,New York,NY,10010
Running this doesn't add documents to the database:
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
Trace says imported 1 objects, but in the MongoDB shell running db.things.find() doesn't show any new documents.
What am I missing?
Your example worked for me with MongoDB 1.6.3 and 1.7.3. Example below was for 1.7.3. Are you using an older version of MongoDB?
$ 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 }
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.
We need to execute the following command:
mongoimport --host=127.0.0.1 -d database_name -c collection_name --type csv --file csv_location --headerline
-d is database name
-c is collection name
--headerline If using --type csv or --type tsv, uses the first line as field names. Otherwise, mongoimport will import the first line as a distinct document.
For more information: mongoimport
you will most likely need to authenticate if you're working in production sort of environments. You can use something like this to authenticate against the correct database with appropriate credentials.
mongoimport -d db_name -c collection_name --type csv --file filename.csv --headerline --host hostname:portnumber --authenticationDatabase admin --username 'iamauser' --password 'pwd123'
I use this on mongoimport shell
mongoimport --db db_name --collection collection_name --type csv --file C:\\Your_file_path\target_file.csv --headerline
type can choose csv/tsv/json
But only csv/tsv can use --headerline
You can read more on the offical doc.
Check that you have a blank line at the end of the file, otherwise the last line will be ignored on some versions of mongoimport
When I was trying to import the CSV file, I was getting an error. What I have done.
First I changed the header line's column names in Capital letter and removed "-" and added "_" if needed. Then Typed below command for importing CSV into mongo
$ mongoimport --db=database_name --collection=collection_name --type=csv --file=file_name.csv --headerline
Robert Stewart have already answered for how to import with mongoimport.
I am suggesting easy way to import CSV elegantly with 3T MongoChef Tool (3.2+ version). Might help someone in future.
You just need to select collection
Select file to import
You can also unselect data which is going to import. Also many options are there.
Collection imported
See how to import video
First you should come out of the mongo shell and then execute the mongoimport command like this:
Manojs-MacBook-Air:bin Aditya$ mongoimport -d marketdata -c minibars
--type csv
--headerline
--file '/Users/Aditya/Downloads/mstf.csv'
2017-05-13T20:00:41.989+0800 connected to: localhost
2017-05-13T20:00:44.123+0800 imported 97609 documents
Manojs-MacBook-Air:bin Aditya$
Robert Stewart's answers is great.
I'd like to add that you also can type your fields with --columHaveTypes and --fields like this :
mongoimport -d myDb -c myCollection --type csv --file myCsv.csv
--columnsHaveTypes --fields "label.string(),code.string(),aBoolean.boolean()"
(Careful to not have any space after the comma between your fields)
For other types, see doc here : https://docs.mongodb.com/manual/reference/program/mongoimport/#cmdoption-mongoimport-columnshavetypes
For the 3.4 version, please use the following syntax:
mongoimport -u "username" -p "password" -d "test" -c "collections" --type csv --file myCsv.csv --headerline
After 3 days, I finally made it on my own. Thanks to all the users who supported me.
My requirement was to import the .csv (with no headline) to remote MongoDB instance. For mongoimport v3.0.7below command worked for me:
mongoimport -h <host>:<port> -u <db-user> -p <db-password> -d <database-name> -c <collection-name> --file <csv file location> --fields <name of the columns(comma seperated) in csv> --type csv
For example:
mongoimport -h 1234.mlab.com:61486 -u arpitaggarwal -p password -d my-database -c employees --file employees.csv --fields name,email --type csv
Below is the screenshot of how it looks like after import:
where name and email are the columns in the .csv file.
Given .csv file I have which has only one column with no Header, below command worked for me:
mongoimport -h <mongodb-host>:<mongodb-port> -u <username> -p <password> -d <mongodb-database-name> -c <collection-name> --file file.csv --fields <field-name> --type csv
where field-name refers to the Header name of the column in .csv file.
C:\wamp\mongodb\bin>mongoexport --db proj_mmm --collection offerings --csv --fieldFile offerings_fields.txt --out offerings.csv
Just use this after executing mongoimport
It will return number of objects imported
use db
db.collectionname.find().count()
will return the number of objects.
use :
mongoimport -d 'database_name' -c 'collection_name' --type csv --headerline --file filepath/file_name.csv
mongoimport -d test -c test --type csv --file SampleCSVFile_119kb.csv --headerline
check collection data:-
var collections = db.getCollectionNames();
for(var i = 0; i< collections.length; i++)
{
print('Collection: ' + collections[i]);
// print the name of each collection
db.getCollection(collections[i]).find().forEach(printjson);
//and then print the json of each of its elements
}
1]We can save xsl as .csv file
2] Got to MongoDB bin pathon cmd - > cd D:\Arkay\soft\MongoDB\bin
3] Run below command
> mongoimport.exe -d dbname -c collectionname --type csv --file "D:\Arkay\test.csv" --headerline
4] Verify on Mongo side using below coomand.
>db.collectioname.find().pretty().limit(1)
Strangely no one mentioned --uri flag:
mongoimport --uri connectionString -c questions --type csv --file questions.csv --headerline
Sharing for future readers:
In our case, we needed to add the host parameter to make it work
mongoimport -h mongodb://someMongoDBhostUrl:somePORTrunningMongoDB/someDB -d someDB -c someCollection -u someUserName -p somePassword --file someCSVFile.csv --type csv --headerline --host=127.0.0.1
Make sure to copy the .csv file to /usr/local/bin or whatever folder your mondodb is in
All these answers above are great. And the way to go on a full featured application.
But if you want to prototype fast, want flexibility as the collection still changes as well as to minimize your early code base, there is a much simpler way that is not much discussed.
You can basically forego mongoimport by now. I could have saved 3 hours if it was mentioned here on this question. So let me share for others:
Mongodb has a GUI called Mongo Compass has both csv and json import features out of the box in a matter of clicks. It is an official part of the Mongo ecosytem. At the time of writing it is free and it works very well for my use case.
https://www.mongodb.com/products/compass
You simply get MongoDB compass running on your machine by following the simple installation. A couple of fields for DB connection and authentication directly in the GUI.
Import the csv/json file. It took less than a second on a 30KB file to be parsed before user (me) validates.
Validate the "type" of each property. Great feature, I could directly mention the property types such as booleans, integers, etc. In my experience, they seem all default to string. You can update before importing. Dates were more finicky and needed special attention on the coding side.
One click further the csv is a collection in your mongo db local or on the cloud. Voila!
If you have multiple files and you want to import all of them using python, you can do the following.
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)