I have a folder containing CSVfiles. I want to upload the data of all the CSVs to MongoDB. I have tried the following command:
for i in *.csv; do mongoimport -d mydatabase -c ${i%.*} --type csv --file $i --headerline ; done
I have modified it to suit my scenario. The modified command is as follows:
for i in "C:\Users\lenovo-pc\Desktop\Testing sample csv\*.csv"; do mongoimport -d Better -c TESTCSV --type csv --file $i --headerline ; done
But It is giving error: i was unexpected at this time.
I would like to know how I can upload all the CSVs from a folder at once. I do not want to upload them one by one. Kindly help.
Try this:
for %i in (*.csv) do mongoimport -d Better -c TESTCSV --type csv --file "%i" --headerline
Make sure you run this from the directory in which the *.csv files are present.
I've made this script for Windows that imports all CSVs in the same folder and names each collection with the name of the respective CSV.
You need to copy these lines in a .bat file, then edit the variables MONGO_HOME and db as you need:
TITLE MongoDB CSV Importer
SET "MONGO_HOME=C:\Program Files\MongoDB\Server\3.6"
SET db=datasets
for %%v in (*.csv) do "%MONGO_HOME%\bin\mongoimport.exe" -d %db% -c %%~nv --type CSV --file %%v --headerline
TITLE "Import completed!"
PAUSE
and this works the same for Linux shell scripts (.sh):
db="datasets"
for entry in *".csv"
do
coll=$(echo "$entry" | cut -f 1 -d '.')
echo $name
mongoimport -d $db -c $coll --type CSV --file $coll".csv" --headerline
done
echo "end of import."
Hope this helps
I have an Excel file that I converted to a csv and imported into my running MongoDB storage, but there was trouble with one column of the data from the csv file. One column, called Room, occasionally, but not always, contains values separated by a comma (ex. "101, 103").
Running:
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
gave no errors, but for documents that are supposed to have 2 values for Room, there was just one. For example "101, 102" became "101," in the db.
Is there an option for mongoimport that allows me to specify an array for a certain column?
First you need to Import the data from CSV as
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
After that , you just have to use
db.things.find().snapshot().forEach(function (el) { el.Room = el.Room.split(','); db.things.save(el); });
So, It will solve your problem.
I have a data collection, which is separated by | character. I am going to add the data collection to mongodb. So I need to separate data through | character. how my mongoimport command looks like?
Previously, I'm successfully import csv file through the following command.
$ mongoimport -d mydb -c things --type csv --file locations.csv --headerline
mongoimport supports either JSON, CSV (comma separated values) or TSV (tab separated values). The | character is not a valid delimiter for either CSV or TSV, so you will need to change your input files' | to , or a tab, and specify --type accordingly.
mongodb could actually treat a | seperated record in a .unl, .txt, .csv
Just make sure you do this in the format below. For the specified mentioned extensions use the --type csv:
mongoimport -c <table_name> -d <database_name> --mode upsert --file <filename> --type csv --headerline
I have a csv file containing following data and want to import it in mongodb
ID;"AdmissionID";"SeatNo";"RegistrationNo";"ResultDate";"ResultStatusId"
1;12;"2323";"23";07-05-2013;1
2;23;"35";"32";10-05-2013;5
this data is to be imported to mongodb 2.2. I'm using following command:
mongoimport -d test -c exam --type csv --headerline <f:\exam.csv
when used i get following error
SyntaxError: missing ; before statement (shell):1
please help me to find out the error
This should do the trick easily. More HERE.
mongoimport -d mydb -c collectionName --type csv --file myfile.csv --headerline
Your problem is the <f:\exam.csv bit, which is not properly escaped by the way it looks
> --headerline
> If using “--type csv” or “--type tsv,” use the first line as field names. Otherwise, mongoimport will import the first line as a distinct
> document.
Please try this line of code
C:\Program Files\MongoDB\Server\3.2\bin>mongoimport -d pravin -c FOC --type csv
--file D:\Script\ImportData\FOC.csv --headerline
2016-08-10T15:42:38.685+0530 connected to: localhost`enter code here`
2016-08-10T15:42:38.758+0530 imported 13 documents
I solved by opening the .csv file in Excel (File -> Options -> advanced) then unchecking the box "uses system separation" and then removing the comma from the box below and then saving again in .csv.
So there will not be any commas in the .csv file and the formatting of JSON in MongoDB will be right.
Run mongoimport from the system command line, not the mongo shell.
Ref - https://docs.mongodb.com/manual/reference/program/mongoimport/
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)