MongoDB Extended JSON (v2) (original) (raw)

Important

Disambiguation

JSON can only directly represent a subset of the types supported by BSON. To preserve type information, MongoDB adds the following extensions to the JSON format.

Both formats conform to the JSON RFC and can be parsed by the various MongoDB drivers and tools.

The following drivers use the Extended JSON v2.0

CC++Go JavaNodePerl PHPCPythonScala

For C# and Ruby that use Legacy MongoDB Extended JSON v1, refer toMongoDB Extended JSON (v1).

MongoDB provides the following methods for Extended JSON:

Method Description
serialize Serializes a BSON object and returns the data in Extended JSON format.EJSON.serialize( db.<collection>.findOne() )
deserialize Converts a serialized document to field and value pairs. The values have BSON types.EJSON.deserialize( <serialized object> )
stringify Converts the element and typepairs in a deserialized object to strings.EJSON.stringify( <deserialized object> )
parse Converts strings into element and type pairs.EJSON.parse( <string> )

For usage examples, see Extended JSON Object Conversions below.

For additional details, see the documentation for:

Starting in version 4.2:

Binary Changes
bsondump Uses Extended JSON v2.0 (Canonical mode) format.
mongodump Use Extended JSON v2.0 (Canonical mode) format for the metadata. Requires mongorestore version 4.2 or later that supports Extended JSON v2.0 (Canonical mode or Relaxed) format.In general, use corresponding versions ofmongodump and mongorestore. To restore data files created with a specific version of mongodump, use the corresponding version of mongorestore.
mongoexport Creates output data in Extended JSON v2.0 (Relaxed mode) by default.Creates output data in Extended JSON v2.0 (Canonical mode) if used with --jsonFormat.
mongoimport Expects import data to be in Extended JSON v2.0 (either Relaxed or Canonical mode) by default.Can recognize data that is in Extended JSON v1.0 format if the option--legacy is specified.In general, the versions of mongoexport andmongoimport should match. To import data created from mongoexport, you should use the corresponding version of mongoimport.

The following presents some common BSON data types and the associated representations in Canonical and Relaxed.

ArrayBinaryDate Decimal128DocumentDouble Int32Int64MaxKey MinKeyObjectIdRegular ExpressionTimestamp

The complete list is here.

Array


Canonical Relaxed
[ ]

Where the array elements are as follows:

Binary


Canonical Relaxed
{ "$binary": { "base64": "", "subType": "" }}

Where the values are as follows:

Date


For dates between years 1970 and 9999, inclusive:

Canonical Relaxed
{"$date": {"$numberLong": ""}} {"$date": "<ISO-8601 Date/Time Format>"}

For dates before year 1970 or after year 9999:

Canonical Relaxed
{"$date": {"$numberLong": ""}}

Where the values are as follows:

Decimal128


Canonical Relaxed
{ "$numberDecimal": "" }

Where the values are as follows:

Document


Canonical Relaxed
{ }

Where the document contents are as follows:

Double


For finite numbers:

Canonical Relaxed
{"$numberDouble": "" }

For infinite numbers or NAN:

Canonical Relaxed
{"$numberDouble": <"Infinity"|"-Infinity" "NaN"> }

Where the values are as follows:

Int64


Canonical Relaxed
{ "$numberLong": "" }

Where the values are as follows:

Int32


Canonical Relaxed
{ "$numberInt": "" }

Where the values are as follows:

MaxKey


Canonical Relaxed
{ "$maxKey": 1 }

The MaxKey BSON data type compares higher than all other types. SeeComparison/Sort Order for more information on comparison order for BSON types.

MinKey


Canonical Relaxed
{ "$minKey": 1 }

The MinKey BSON data type compares lower than all other types. SeeComparison/Sort Order for more information on comparison order for BSON types.

ObjectId


Canonical Relaxed
{ "$oid": "" }

Where the values are as follows:

Regular Expression


Canonical Relaxed
{ "$regularExpression": { "pattern": "", "options": "" }}

Where the values are as follows:

Timestamp


Canonical Relaxed
{"$timestamp": {"t": , "i": }}

Where the values are as follows:

The following examples illustrate Extended JSON usage.

Example Field Name Canonical Format Relaxed Format
"_id:" {"$oid":"5d505646cf6d4fe581014ab2"} {"$oid":"5d505646cf6d4fe581014ab2"}
"arrayField": ["hello",{"$numberInt":"10"}] ["hello",10]
"dateField": {"$date":{"$numberLong":"1565546054692"}} {"$date":"2019-08-11T17:54:14.692Z"}
"dateBefore1970": {"$date":{"$numberLong":"-1577923200000"}} {"$date":{"$numberLong":"-1577923200000"}}
"decimal128Field": {"$numberDecimal":"10.99"} {"$numberDecimal":"10.99"}
"documentField": {"a":"hello"} {"a":"hello"}
"doubleField": {"$numberDouble":"10.5"} 10.5
"infiniteNumber" {"$numberDouble":"Infinity"} {"$numberDouble":"Infinity"}
"int32field": {"$numberInt":"10"} 10
"int64Field": {"$numberLong":"50"} 50
"minKeyField": {"$minKey":1} {"$minKey":1}
"maxKeyField": {"$maxKey":1} {"$maxKey":1}
"regexField": {"$regularExpression":{"pattern":"^H","options":"i"}} {"$regularExpression":{"pattern":"^H","options":"i"}}
"timestampField": {"$timestamp":{"t":1565545664,"i":1}} {"$timestamp":{"t":1565545664,"i":1}}
"uuid": {"$uuid":"3b241101-e2bb-4255-8caf-4136c566a962"} {"$uuid":"3b241101-e2bb-4255-8caf-4136c566a962"}

The following short examples create a document object and then convert the object to different forms using Extended JSON object conversion methods.

Create a document in the conversions collection:


db.conversions.insertOne( { insertDate: new Date() } )

mongosh returns a document object:


{

  acknowledged: true,

  insertedId: ObjectId("61fbaf25671c45f3f5f4074a")

}

Serialize the data stored in a MongoDB document object:


serialized = EJSON.serialize( db.conversions.findOne() )

mongosh parses a JavaScript object and returns values using"$" prefixed types:


{

  _id: { '$oid': '61fbaf25671c45f3f5f4074a' },

  insertDate: { '$date': '2022-02-03T10:32:05.230Z' }

}

Deserialize a serialized object:


EJSON.deserialize( serialized )

mongosh parses a JavaScript object and returns values using the default mongosh type form:


{

  _id: new ObjectId( "61fbaf25671c45f3f5f4074a" ),

  insertDate: ISODate( "2022-02-03T10:32:05.230Z" )

}

Convert an object to a string:


stringified = EJSON.stringify( db.conversions.findOne() )

mongosh outputs the elements of the converted object as strings:


{

   "_id": {"$oid":"61fbaf25671c45f3f5f4074a"},

   "insertDate":{"$date":"2022-02-03T10:32:05.230Z"}

}

Parse a string to create an object:


EJSON.parse( stringified )

mongosh returns the converted strings as documents:


{

  _id: new ObjectId("61fbaf25671c45f3f5f4074a"),

  insertDate: ISODate("2022-02-03T10:32:05.230Z")

}