Backing up and Restoring Data

mongoimport with JSON

Sample zipcode dataset in zipcodes.json stored in c:\Users\yc03ak1\Desktop\zips.json

{ "_id" : "01001", "city" : "AGAWAM", "loc" : [ -72.622739, 42.070206 ], "pop" : 15338, "state" : "MA" }
{ "_id" : "01002", "city" : "CUSHMAN", "loc" : [ -72.51564999999999, 42.377017 ], "pop" : 36963, "state" : "MA" }
{ "_id" : "01005", "city" : "BARRE", "loc" : [ -72.10835400000001, 42.409698 ], "pop" : 4546, "state" : "MA" }
{ "_id" : "01007", "city" : "BELCHERTOWN", "loc" : [ -72.41095300000001, 42.275103 ], "pop" : 10579, "state" : "MA" }
{ "_id" : "01008", "city" : "BLANDFORD", "loc" : [ -72.936114, 42.182949 ], "pop" : 1240, "state" : "MA" }
{ "_id" : "01010", "city" : "BRIMFIELD", "loc" : [ -72.188455, 42.116543 ], "pop" : 3706, "state" : "MA" }
{ "_id" : "01011", "city" : "CHESTER", "loc" : [ -72.988761, 42.279421 ], "pop" : 1688, "state" : "MA" }

to import this data-set to the database named “test” and collection named “zips”

C:\Users\yc03ak1>mongoimport --db test --collection "zips" --drop --type json --host "localhost:47019"  --file "c:\Users\yc03ak1\Desktop\zips.json"

—db : name of the database where data is to be imported to
—collection: name of the collection in the database where data is to be improted
—drop : drops the collection first before importing
—type : document type which needs to be imported. default JSON
—host : mongodb host and port on which data is to be imported.
—file : path where the json file is

output :

2016-08-10T20:10:50.159-0700    connected to: localhost:47019
2016-08-10T20:10:50.163-0700    dropping: test.zips
2016-08-10T20:10:53.155-0700    [################........] test.zips    2.1 MB/3.0 MB (68.5%)
2016-08-10T20:10:56.150-0700    [########################] test.zips    3.0 MB/3.0 MB (100.0%)
2016-08-10T20:10:57.819-0700    [########################] test.zips    3.0 MB/3.0 MB (100.0%)
2016-08-10T20:10:57.821-0700    imported 29353 documents

mongoimport with CSV

Sample test dataset CSV file stored at the location c:\Users\yc03ak1\Desktop\testing.csv

_id    city    loc    pop    state
1    A    [10.0, 20.0]    2222    PQE
2    B    [10.1, 20.1]    22122    RW
3    C    [10.2, 20.0]    255222    RWE
4    D    [10.3, 20.3]    226622    SFDS
5    E    [10.4, 20.0]    222122    FDS

to import this data-set to the database named “test” and collection named “sample”

C:\Users\yc03ak1>mongoimport --db test --collection "sample" --drop --type csv --headerline --host "localhost:47019"  --file "c:\Users\yc03ak1\Desktop\testing.csv"

—headerline : use the first line of the csv file as the fields for the json document

output :

2016-08-10T20:25:48.572-0700    connected to: localhost:47019
2016-08-10T20:25:48.576-0700    dropping: test.sample
2016-08-10T20:25:49.109-0700    imported 5 documents

C:\Users\yc03ak1>mongoimport --db test --collection "sample" --drop --type csv --fields _id,city,loc,pop,state --host "localhost:47019"  --file "c:\Users\yc03ak1\Desktop\testing.csv"

—fields : comma seperated list of fields which needs to be imported in the json document.

Output:

2016-08-10T20:26:48.978-0700    connected to: localhost:47019
2016-08-10T20:26:48.982-0700    dropping: test.sample
2016-08-10T20:26:49.611-0700    imported 6 documents