mongoimportThis utility takes a single file that contains 1 JSON/CSV/TSV string per line and inserts it. You have to specify a database and a collection. options:
--help produce help message
-v [ --verbose ] be more verbose (include multiple times for more
verbosity e.g. -vvvvv)
-h [ --host ] arg mongo host to connect to ("left,right" for pairs)
-d [ --db ] arg database to use
-c [ --collection ] arg collection to use (some commands)
-u [ --username ] arg username
-p [ --password ] arg password
--dbpath arg directly access mongod data files in the given path,
instead of connecting to a mongod instance - needs to
lock the data directory, so cannot be used if a
mongod is currently accessing the same path
--directoryperdb if dbpath specified, each db is in a separate
directory
-f [ --fields ] arg comma seperated list of field names e.g. -f name,age
--fieldFile arg file with fields names - 1 per line
--ignoreBlanks if given, empty fields in csv and tsv will be ignored
--type arg type of file to import. default: json (json,csv,tsv)
--file arg file to import from; if not specified stdin is used
--drop drop collection first
--headerline CSV,TSV only - use first line as headers
mongoexportThis utility takes a collection and exports to either JSON or CSV. You can specify a filter for the query, or a list of fields to output.
If you want to output CSV, you have to specify the fields in the order you want them. Example options:
--help produce help message
-v [ --verbose ] be more verbose (include multiple times for more
verbosity e.g. -vvvvv)
-h [ --host ] arg mongo host to connect to ("left,right" for pairs)
-d [ --db ] arg database to use
-c [ --collection ] arg collection to use (some commands)
-u [ --username ] arg username
-p [ --password ] arg password
--dbpath arg directly access mongod data files in the given path,
instead of connecting to a mongod instance - needs to
lock the data directory, so cannot be used if a
mongod is currently accessing the same path
--directoryperdb if dbpath specified, each db is in a separate
directory
-q [ --query ] arg query filter, as a JSON string
-f [ --fields ] arg comma seperated list of field names e.g. -f name,age
--csv export to csv instead of json
-o [ --out ] arg output file; if not specified, stdout is used
mongodumpThis takes a database and outputs it in a binary representation. This is mostly used for doing hot backups of a database.
options:
--help produce help message
-v [ --verbose ] be more verbose (include multiple times for more
verbosity e.g. -vvvvv)
-h [ --host ] arg mongo host to connect to ("left,right" for pairs)
-d [ --db ] arg database to use
-c [ --collection ] arg collection to use (some commands)
-u [ --username ] arg username
-p [ --password ] arg password
--dbpath arg directly access mongod data files in the given path,
instead of connecting to a mongod instance - needs
to lock the data directory, so cannot be used if a
mongod is currently accessing the same path
--directoryperdb if dbpath specified, each db is in a separate
directory
-o [ --out ] arg (=dump) output directory
Example: Dumping EverythingTo dump all of the collections in all of the databases, run mongodump with just the --host: $ ./mongodump --host prod.example.com
connected to: prod.example.com
all dbs
DATABASE: log to dump/log
log.errors to dump/log/errors.bson
713 objects
log.analytics to dump/log/analytics.bson
234810 objects
DATABASE: blog to dump/blog
blog.posts to dump/log/blog.posts.bson
59 objects
DATABASE: admin to dump/admin
You'll then have a folder called "dump" in your current directory. If you're running mongod locally on the default port, you can just do: $ ./mongodump
Example: Dumping a Single CollectionIf we just want to dump a single collection, we can specify it and get a single .bson file. $ ./mongodump --db blog --collection posts
connected to: 127.0.0.1
DATABASE: blog to dump/blog
blog.posts to dump/blog/posts.bson
59 objects
mongorestoreThis takes the output from mongodump and restores it. usage: ./mongorestore [options] [directory or filename to restore from]
options:
--help produce help message
-v [ --verbose ] be more verbose (include multiple times for more
verbosity e.g. -vvvvv)
-h [ --host ] arg mongo host to connect to ("left,right" for pairs)
-d [ --db ] arg database to use
-c [ --collection ] arg collection to use (some commands)
-u [ --username ] arg username
-p [ --password ] arg password
--dbpath arg directly access mongod data files in the given path,
instead of connecting to a mongod instance - needs to
lock the data directory, so cannot be used if a
mongod is currently accessing the same path
--directoryperdb if dbpath specified, each db is in a separate
directory
--drop drop each collection before import
--objcheck validate object before inserting
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Import Export Tools
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SELECT * FROM user
Mongo:
db.user.find()
MySQL:
SELECT * FROM user WHERE name = 'foobar'
Mongo:
db.user.find({'name' : 'foobar'})
MySQL:
INSERT INOT user (`name`, `age`) values ('foobar',25)
Mongo:
db.user.insert({'name' : 'foobar', 'age' : 25})
if you want add a column `email` on MySQL,you must :
ALTER TABLE user….
But in Mongo,you can just:
db.user.insert({'name' : 'foobar', 'age' : 25, 'email' : 'foo@bar.com'})
MySQL:
DELETE * FROM user
Mongo:
db.user.remove({})
MySQL:
DELETE FROM user WHERE age < 30
Mongo:
db.user.remove({'age' : {$lt : 30}})
$gt : > ; $gte : >= ; $lt : < ; $lte : <= ; $ne : !=
MySQL:
UPDATE user SET `age` = 36 WHERE `name` = 'foobar'
Mongo:
db.user.update({'name' : 'foobar'}, {$set : {'age' : 36}})
MySQL:
UPDATE user SET `age` = `age` + 3 WHERE `name` = 'foobar'
Mongo:
db.user.update({'name' : 'foobar'}, {$inc : {'age' : 3}})
See more @ http://www.mongodb.org/display/DOCS/Updating
MySQL:
SELECT COUNT(*) FROM user WHERE `name` = 'foobar'
Mongo:
db.user.find({'name' : 'foobar'}).count() 鎴?db.user.count({name:'foobar'});
MySQL:
SELECT * FROM user limit 10,20
Mongo:
db.user.find().skip(10).limit(20)
MySQL:
SELECT * FROM user WHERE `age` IN (25, 35,45)
Mongo:
db.user.find({'age' : {$in : [25, 35, 45]}})
MySQL:
SELECT * FROM user ORDER BY age DESC
Mongo:
db.user.find().sort({'age' : -1})
MySQL:
SELECT DISTINCT(name) FROM user WHERE age > 20
Mongo:
db.user.distinct('name', {'age': {$lt : 20}})
MySQL:
SELECT name, sum(marks) FROM user GROUP BY name
Mongo:
db.user.group({
key : {'name' : true},
cond: {'name' : 'foo'},
reduce: function(obj,prev) { prev.msum += obj.marks; },
initial: {msum : 0}
});
MySQL:
SELECT name FROM user WHERE age < 20
Mongo:
db.user.find('this.age < 20', {name : 1})
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