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mongoimport

mongoimport Example Guide

MongoDB provides the mongoimport tool to import JSON and CSV files into your main dataset. This guide explains how to effectively use mongoimport to move your data into your MongoDB database.

Before You Begin

  • Get Started with Atlas.

  • Follow the Database Tools Installation Guide to install mongoimport.

  • Create the example files.

    1

    Create and Move to the test-datasets Directory

    mkdir test-datasets
    cd test-datasets
    2

    Create .json Example Files

    @'
     {
        "tripduration": 602,
        "starttime": "2019-12-01 00:00:05.5640",
        "stoptime": "2019-12-01 00:10:07.8180",
        "start station id": 3382,
        "start station name": "Carroll St & Smith St",
        "start station latitude": 40.680611,
        "start station longitude": -73.99475825,
        "end station id": 3304,
        "end station name": "6 Ave & 9 St",
        "end station latitude": 40.668127,
        "end station longitude": -73.98377641,
        "bikeid": 41932,
        "usertype": "Subscriber",
        "birth year": 1970,
        "gender": "male"
     }
    '@ | Set-Content -Path ride_01.json
    @'
     {
        "tripduration": 1206,
        "starttime": "2019-12-01 00:00:10.9630",
        "stoptime": "2019-12-01 00:20:17.8820",
        "start station id": 362,
        "start station name": "Broadway & W 37 St",
        "start station latitude": 40.75172632,
        "start station longitude": -73.98753523,
        "end station id": 500,
        "end station name": "Broadway & W 51 St",
        "end station latitude": 40.76228826,
        "end station longitude": -73.98336183,
        "bikeid": 18869,
        "usertype": "Customer",
        "birth year": 1999,
        "gender": "male"
     }
    '@ | Set-Content -Path ride_02.json
    @'
     {
        "tripduration": 723,
        "starttime": "2019-12-01 00:00:11.8180",
        "stoptime": "2019-12-01 00:12:14.8310",
        "start station id": 146,
        "start station name": "Hudson St & Reade St",
        "start station latitude": 40.71625008,
        "start station longitude": -74.0091059,
        "end station id": 238,
        "end station name": "Bank St & Washington St",
        "end station latitude": 40.7361967,
        "end station longitude": -74.00859207,
        "bikeid": 15334,
        "usertype": "Subscriber",
        "birth year": 1997,
        "gender": "male"
     }
    '@ | Set-Content -Path ride_03.json
    @'
     [
        {
           "tripduration": 602,
           "starttime": "2019-12-01 00:00:05.5640",
           "stoptime": "2019-12-01 00:10:07.8180",
           "start station id": 3382,
           "start station name": "Carroll St & Smith St",
           "start station latitude": 40.680611,
           "start station longitude": -73.99475825,
           "end station id": 3304,
           "end station name": "6 Ave & 9 St",
           "end station latitude": 40.668127,
           "end station longitude": -73.98377641,
           "bikeid": 41932,
           "usertype": "Subscriber",
           "birth year": 1970,
           "gender": "male"
        },
        {
           "tripduration": 1206,
           "starttime": "2019-12-01 00:00:10.9630",
           "stoptime": "2019-12-01 00:20:17.8820",
           "start station id": 362,
           "start station name": "Broadway & W 37 St",
           "start station latitude": 40.75172632,
           "start station longitude": -73.98753523,
           "end station id": 500,
           "end station name": "Broadway & W 51 St",
           "end station latitude": 40.76228826,
           "end station longitude": -73.98336183,
           "bikeid": 18869,
           "usertype": "Customer",
           "birth year": 1999,
           "gender": "male"
        },
        {
           "tripduration": 723,
           "starttime": "2019-12-01 00:00:11.8180",
           "stoptime": "2019-12-01 00:12:14.8310",
           "start station id": 146,
           "start station name": "Hudson St & Reade St",
           "start station latitude": 40.71625008,
           "start station longitude": -74.0091059,
           "end station id": 238,
           "end station name": "Bank St & Washington St",
           "end station latitude": 40.7361967,
           "end station longitude": -74.00859207,
           "bikeid": 15334,
           "usertype": "Subscriber",
           "birth year": 1997,
           "gender": "male"
        }
     ]
    '@ | Set-Content -Path rides.json
    @'
     602,"2019-12-01 00:00:05.5640","2019-12-01 00:10:07.8180",3382,"Carroll St & Smith St",40.680611,-73.99475825,3304,"6 Ave & 9 St",40.668127,-73.98377641,41932,"Subscriber",1970,1
     1206,"2019-12-01 00:00:10.9630","2019-12-01 00:20:17.8820",362,"Broadway & W 37 St",40.75172632,-73.98753523,500,"Broadway & W 51 St",40.76228826,-73.98336183,18869,"Customer",1999,1
     723,"2019-12-01 00:00:11.8180","2019-12-01 00:12:14.8310",146,"Hudson St & Reade St",40.71625008,-74.0091059,238,"Bank St & Washington St",40.7361967,-74.00859207,15334,"Subscriber",1997,1
    '@ | Set-Content -Path rides_no_header.json
    1

    Create and Move to the test-datasets Directory

    mkdir test-datasets
    cd test-datasets
    2

    Create .json Example Files

    echo '{
        "tripduration": 602,
        "starttime": "2019-12-01 00:00:05.5640",
        "stoptime": "2019-12-01 00:10:07.8180",
        "start station id": 3382,
        "start station name": "Carroll St & Smith St",
        "start station latitude": 40.680611,
        "start station longitude": -73.99475825,
        "end station id": 3304,
        "end station name": "6 Ave & 9 St",
        "end station latitude": 40.668127,
        "end station longitude": -73.98377641,
        "bikeid": 41932,
        "usertype": "Subscriber",
        "birth year": 1970,
        "gender": "male"
    }' > ride_01.json
    echo '{
        "tripduration": 1206,
        "starttime": "2019-12-01 00:00:10.9630",
        "stoptime": "2019-12-01 00:20:17.8820",
        "start station id": 362,
        "start station name": "Broadway & W 37 St",
        "start station latitude": 40.75172632,
        "start station longitude": -73.98753523,
        "end station id": 500,
        "end station name": "Broadway & W 51 St",
        "end station latitude": 40.76228826,
        "end station longitude": -73.98336183,
        "bikeid": 18869,
        "usertype": "Customer",
        "birth year": 1999,
        "gender": "male"
    }' > ride_02.json
    echo '{
        "tripduration": 723,
        "starttime": "2019-12-01 00:00:11.8180",
        "stoptime": "2019-12-01 00:12:14.8310",
        "start station id": 146,
        "start station name": "Hudson St & Reade St",
        "start station latitude": 40.71625008,
        "start station longitude": -74.0091059,
        "end station id": 238,
        "end station name": "Bank St & Washington St",
        "end station latitude": 40.7361967,
        "end station longitude": -74.00859207,
        "bikeid": 15334,
        "usertype": "Subscriber",
        "birth year": 1997,
        "gender": "male"
    }' > ride_03.json
    echo '[
        {
           "tripduration": 602,
           "starttime": "2019-12-01 00:00:05.5640",
           "stoptime": "2019-12-01 00:10:07.8180",
           "start station id": 3382,
           "start station name": "Carroll St & Smith St",
           "start station latitude": 40.680611,
           "start station longitude": -73.99475825,
           "end station id": 3304,
           "end station name": "6 Ave & 9 St",
           "end station latitude": 40.668127,
           "end station longitude": -73.98377641,
           "bikeid": 41932,
           "usertype": "Subscriber",
           "birth year": 1970,
           "gender": "male"
        },
        {
           "tripduration": 1206,
           "starttime": "2019-12-01 00:00:10.9630",
           "stoptime": "2019-12-01 00:20:17.8820",
           "start station id": 362,
           "start station name": "Broadway & W 37 St",
           "start station latitude": 40.75172632,
           "start station longitude": -73.98753523,
           "end station id": 500,
           "end station name": "Broadway & W 51 St",
           "end station latitude": 40.76228826,
           "end station longitude": -73.98336183,
           "bikeid": 18869,
           "usertype": "Customer",
           "birth year": 1999,
           "gender": "male"
        },
        {
           "tripduration": 723,
           "starttime": "2019-12-01 00:00:11.8180",
           "stoptime": "2019-12-01 00:12:14.8310",
           "start station id": 146,
           "start station name": "Hudson St & Reade St",
           "start station latitude": 40.71625008,
           "start station longitude": -74.0091059,
           "end station id": 238,
           "end station name": "Bank St & Washington St",
           "end station latitude": 40.7361967,
           "end station longitude": -74.00859207,
           "bikeid": 15334,
           "usertype": "Subscriber",
           "birth year": 1997,
           "gender": "male"
        }
    ]' > rides.json
    echo '602,"2019-12-01 00:00:05.5640","2019-12-01 00:10:07.8180",3382,"Carroll St & Smith St",40.680611,-73.99475825,3304,"6 Ave & 9 St",40.668127,-73.98377641,41932,"Subscriber",1970,1
        1206,"2019-12-01 00:00:10.9630","2019-12-01 00:20:17.8820",362,"Broadway & W 37 St",40.75172632,-73.98753523,500,"Broadway & W 51 St",40.76228826,-73.98336183,18869,"Customer",1999,1
        723,"2019-12-01 00:00:11.8180","2019-12-01 00:12:14.8310",146,"Hudson St & Reade St",40.71625008,-74.0091059,238,"Bank St & Washington St",40.7361967,-74.00859207,15334,"Subscriber",1997,1
    ' > rides_no_header.json
    1

    Create and Move to the test-datasets Directory

    mkdir test-datasets
    cd test-datasets
    2

    Create .json Example Files

    cat << 'EOF' > ride_01.json
     {
        "tripduration": 602,
        "starttime": "2019-12-01 00:00:05.5640",
        "stoptime": "2019-12-01 00:10:07.8180",
        "start station id": 3382,
        "start station name": "Carroll St & Smith St",
        "start station latitude": 40.680611,
        "start station longitude": -73.99475825,
        "end station id": 3304,
        "end station name": "6 Ave & 9 St",
        "end station latitude": 40.668127,
        "end station longitude": -73.98377641,
        "bikeid": 41932,
        "usertype": "Subscriber",
        "birth year": 1970,
        "gender": "male"
     }
    EOF
    cat << 'EOF' > ride_02.json
     {
        "tripduration": 1206,
        "starttime": "2019-12-01 00:00:10.9630",
        "stoptime": "2019-12-01 00:20:17.8820",
        "start station id": 362,
        "start station name": "Broadway & W 37 St",
        "start station latitude": 40.75172632,
        "start station longitude": -73.98753523,
        "end station id": 500,
        "end station name": "Broadway & W 51 St",
        "end station latitude": 40.76228826,
        "end station longitude": -73.98336183,
        "bikeid": 18869,
        "usertype": "Customer",
        "birth year": 1999,
        "gender": "male"
     }
    EOF
    cat << 'EOF' > ride_03.json
     {
        "tripduration": 723,
        "starttime": "2019-12-01 00:00:11.8180",
        "stoptime": "2019-12-01 00:12:14.8310",
        "start station id": 146,
        "start station name": "Hudson St & Reade St",
        "start station latitude": 40.71625008,
        "start station longitude": -74.0091059,
        "end station id": 238,
        "end station name": "Bank St & Washington St",
        "end station latitude": 40.7361967,
        "end station longitude": -74.00859207,
        "bikeid": 15334,
        "usertype": "Subscriber",
        "birth year": 1997,
        "gender": "male"
     }
    EOF
    cat << 'EOF' > rides.json
     [
        {
           "tripduration": 602,
           "starttime": "2019-12-01 00:00:05.5640",
           "stoptime": "2019-12-01 00:10:07.8180",
           "start station id": 3382,
           "start station name": "Carroll St & Smith St",
           "start station latitude": 40.680611,
           "start station longitude": -73.99475825,
           "end station id": 3304,
           "end station name": "6 Ave & 9 St",
           "end station latitude": 40.668127,
           "end station longitude": -73.98377641,
           "bikeid": 41932,
           "usertype": "Subscriber",
           "birth year": 1970,
           "gender": "male"
        },
        {
           "tripduration": 1206,
           "starttime": "2019-12-01 00:00:10.9630",
           "stoptime": "2019-12-01 00:20:17.8820",
           "start station id": 362,
           "start station name": "Broadway & W 37 St",
           "start station latitude": 40.75172632,
           "start station longitude": -73.98753523,
           "end station id": 500,
           "end station name": "Broadway & W 51 St",
           "end station latitude": 40.76228826,
           "end station longitude": -73.98336183,
           "bikeid": 18869,
           "usertype": "Customer",
           "birth year": 1999,
           "gender": "male"
        },
        {
           "tripduration": 723,
           "starttime": "2019-12-01 00:00:11.8180",
           "stoptime": "2019-12-01 00:12:14.8310",
           "start station id": 146,
           "start station name": "Hudson St & Reade St",
           "start station latitude": 40.71625008,
           "start station longitude": -74.0091059,
           "end station id": 238,
           "end station name": "Bank St & Washington St",
           "end station latitude": 40.7361967,
           "end station longitude": -74.00859207,
           "bikeid": 15334,
           "usertype": "Subscriber",
           "birth year": 1997,
           "gender": "male"
        }
     ]
    EOF
    cat << 'EOF' > rides_no_header.json
     602,"2019-12-01 00:00:05.5640","2019-12-01 00:10:07.8180",3382,"Carroll St & Smith St",40.680611,-73.99475825,3304,"6 Ave & 9 St",40.668127,-73.98377641,41932,"Subscriber",1970,1
     1206,"2019-12-01 00:00:10.9630","2019-12-01 00:20:17.8820",362,"Broadway & W 37 St",40.75172632,-73.98753523,500,"Broadway & W 51 St",40.76228826,-73.98336183,18869,"Customer",1999,1
     723,"2019-12-01 00:00:11.8180","2019-12-01 00:12:14.8310",146,"Hudson St & Reade St",40.71625008,-74.0091059,238,"Bank St & Washington St",40.7361967,-74.00859207,15334,"Subscriber",1997,1
    EOF

  • Find Your MongoDB Connection String.

    Important

    Your MongoDB Atlas connection string resembles the following example:

    mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority

Get Started with mongoimport

mongoimport is a command-line tool for importing data from JSON, CSV, and TSV files into MongoDB collections. mongoimport can be combined with other command-line tools such as JQ for JSON manipulation, CSVKit for CSV manipulation, or curl for dynamically downloading data files from servers on the internet.

Choose a Source Data Format

JSON is both a hierarchical data format, like MongoDB documents, and is also explicit about the types of data it encodes.

CSV (and TSV) data is tabular, and each row will be imported into MongoDB as a separate document. This means that these formats cannot support hierarchical data in the same way as a MongoDB document can. When importing CSV data into MongoDB, mongoimport attempts to make sensible choices when identifying the type of specific field. This behavior can be overridden with flags or type specification.

Connect mongoimport to Your Database

Use your MongoDB Atlas connection string to connect mongoimport to the test database and test-collection collection.

mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
   --db=test \
   --collection=test-collection

Successful connection to your database collection resembles the following:

2025-07-14T10:22:58.317-0400 connected to: mongodb+srv://cluster0.zoikgns.mongodb.net/
2025-07-14T10:23:01.318-0400 test.test-collection    0B
2025-07-14T10:23:04.318-0400 test.test-collection    0B
...

After you successfully connect to your database collection, follow the examples to learn how to use mongoimport to import data into MongoDB.

Steps

The following examples show you how to:

Import Documents with --file

Use the --file option to specify the location and name of the file containing the data to import into a MongoDB collection.

The following example imports the ride_01.json file into the new collection, test-collection, in the test database by providing the file's path --file=ride_01.json.

mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
  --db=test \
  --collection=test-collection \
  --file=ride_01.json

Successful import resembles the following:

2025-07-14T11:47:01.303-0400 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-14T11:47:01.391-0400 1 document(s) imported successfully. 0 document(s) failed to import.

To view the successful data import, you can use the Atlas UI.

Import one document with mongoimport Atlas UI data
click to enlarge

Note

For each imported document, MongoDB generates a required unique _id value.

If you do not specify a file, mongoimport reads data from standard input (e.g. stdin). The following example demonstrates how to import multiple documents by piping them to mongoimport, which then reads the data from stdin.

echo "{\"bikeid\":\"1234\"}\n{\"bikeid\":\"5678\"}" | mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
  --db=test \
  --collection=test-collection-stdin

Successful import resembles the following:

2025-07-14T11:08:08.884-0600 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-14T11:08:09.095-0600 2 document(s) imported successfully. 0 document(s) failed to import.

Import Documents with Piping

You can pipe multiple JSON documents from another tool, such as cat, to import multiple files with mongoimport. From the directory that contains the JSON files for import, you can run the following command to import the documents.

cat *_*.json | mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
  --db=test \
  --collection=test-collection-many

Successful import resembles the following:

2025-07-21T16:48:23.519-0400 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-21T16:48:23.627-0400 3 document(s) imported successfully. 0 document(s) failed to import.

Import a JSON Array

To import a JSON array of documents, you can use the --jsonArray option to specify the format of the data. You specify the data source, which can be a file or standard input, separately. The following example imports the rides.json file containing a single JSON array.

mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
  --db=test \
  --collection=test-collection-array \
  --file=rides.json \
  --jsonArray

Successful import resembles the following:

2025-07-14T11:48:10.829-0400 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-14T11:48:10.899-0400 3 document(s) imported successfully. 0 document(s) failed to import.

If you do not add the --jsonArray option, mongoimport will fail with the error cannot decode array into a Document because MongoDB documents are comparable to JSON objects, not arrays.

Note

You can store an array as a value in a document, but a document cannot be an array.

Import MongoDB-Specific Types with JSON

Since MongoDB stores data as BSON, you must use Extended JSON to recognize fields imported as JSON as specific BSON types. This means you can provide a field MongoDB originally recognizes as a string in the following nested structure to have MongoDB recognize it as a date type.

"starttime": {
   "$date": "2019-12-01T00:00:05.5640Z"
}

To transform your existing data, see the section on JQ.

Import CSV or TSV Into a Collection with Specified Field Types

If you have CSV or TSV files to import, use the --type=csv or --type=tsv, respectively, to tell mongoimport the format to expect.

If your CSV or TSV file has a header row, use the --headerline option to tell mongoimport the first line should not be imported as a document.

Since CSV and TSV data does not include type information, you can solve this by specifying field types when you call mongoimport. The first way to provide mongoimport with type information is if you list the field names on the command line with the --fields option.

mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
   --db=test \
   --collection=test-field-file \
   --file=rides_no_header.csv \
   --type=csv \
   --fields="tripduration","starttime","stoptime","start station id","start station name","start station latitude","start station longitude","end station id","end station name","end station latitude","end station longitude","bikeid","usertype","birth year","gender"

Another way to provide mongoimport with type information is if you put the field names in a file, such as field_file.txt, and point to it with the --fieldFile option.

@"
tripduration
starttime
stoptime
start station id
start station name
start station latitude
start station longitude
end station id
end station name
end station latitude
end station longitude
bikeid
usertype
birth year
gender
"@ | Set-Content -Path field_file.txt
echo 'tripduration
starttime
stoptime
start station id
start station name
start station latitude
start station longitude
end station id
end station name
end station latitude
end station longitude
bikeid
usertype
birth year
gender' > field_file.txt
cat << 'EOF' > field_file.txt
tripduration
starttime
stoptime
start station id
start station name
start station latitude
start station longitude
end station id
end station name
end station latitude
end station longitude
bikeid
usertype
birth year
gender
EOF
mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
   --db=test \
   --collection=test-field-file \
   --file=rides_no_header.csv \
   --type=csv \
   --fieldFile=field_file.txt

Successful import for the --fields and --fieldFile options resemble the following:

2025-07-14T11:48:10.829-0400 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-14T11:48:10.899-0400 3 document(s) imported successfully. 0 document(s) failed to import.

To view the successful data import, you can use the Atlas UI.

Import a CSV file with field types
click to enlarge

Import CSV or TSV Into a Collection with Specified Field and Data Types

Above, you can see that mongoimport automatically makes decisions on data types. To instead specify the type of some or all of your fields, you can use the --columnsHaveTypes option, or add types to the file you use with the --fieldFile option.

@"
tripduration.auto()
starttime.date(2006-01-02 15:04:05)
stoptime.date(2006-01-02 15:04:05)
start station id.auto()
start station name.auto()
start station latitude.auto()
start station longitude.auto()
end station id.auto()
end station name.auto()
end station latitude.auto()
end station longitude.auto()
bikeid.auto()
usertype.auto()
birth year.auto()
gender.auto()
"@ | Set-Content -Path field_file_with_types.txt
echo 'tripduration.auto()
starttime.date(2006-01-02 15:04:05)
stoptime.date(2006-01-02 15:04:05)
start station id.auto()
start station name.auto()
start station latitude.auto()
start station longitude.auto()
end station id.auto()
end station name.auto()
end station latitude.auto()
end station longitude.auto()
bikeid.auto()
usertype.auto()
birth year.auto()
gender.auto()' > field_file_with_types.txt
cat << 'EOF' > field_file_with_types.txt
tripduration.auto()
starttime.date(2006-01-02 15:04:05)
stoptime.date(2006-01-02 15:04:05)
start station id.auto()
start station name.auto()
start station latitude.auto()
start station longitude.auto()
end station id.auto()
end station name.auto()
end station latitude.auto()
end station longitude.auto()
bikeid.auto()
usertype.auto()
birth year.auto()
gender.auto()
EOF
mongoimport --uri 'mongodb+srv://myDatabaseUser:D1fficultP%[email protected]/?retryWrites=true&w=majority' \
   --db=test \
   --collection=test-field-file \
   --file=test-datasets/rides_no_header.csv \
   --type=csv \
   --fieldFile=field_file_with_types.txt

Successful import resembles the following:

2025-07-14T11:48:10.829-0400 connected to: mongodb+srv://[**REDACTED**]@cluster0.zoikgns.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0
2025-07-14T11:48:10.899-0400 3 document(s) imported successfully. 0 document(s) failed to import.

To view the successful data import, you can use the Atlas UI.

Import a CSV file with field types and data types
click to enlarge

Now, you can see that mongoimport uses the data types you provide to store the imported file.

Useful Command-line Tools

You can use other command-line programs alongside mongoimport to further streamline your data import.

JQ

JQ is a processor for JSON data. It incorporates a powerful filtering and scripting language for filtering, manipulating, and generating JSON data. You can use a multi-stage pipe to pipe data into mongoimport via JQ. To learn more about how to use JQ, see the JQ Manual.

CSVKit

CSVKit is a collection of tools for filtering and manipulating CSV data. CSVKit tools such as csvgrep, which filters rows based on expressions, and csvcut, which removes whole columns from CSV input, are useful tools for slicing data before providing it to mongoimport. To learn more about how to use CSVKit, see the CSVKit Documentation.

Learn More

  • See our mongoimport documentation for more details on possible options.

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