Ctrl + Enter to run a query (Cmd + Enter on mac)Ctrl + s to format the configuration and query editor (Cmd +
s on mac)
Only find(), aggregate() and update() are supported
It is possible to create a collection from an array of BSON documents with the bson mode. If no
collection name is specified,
documents will be inserted in a collection named collection, for example
[
{
"_id": 1,
"k": "value"
},
{
"_id": 2,
"k": "someOtherValue"
}
]
It is possible to create multiple collections in bson mode with custom names:
db={
"coll1": [
{
"_id": 1,
"k": "value"
},
{
"_id": 2,
"k": "someOtherValue"
}
],
"coll2": [
{
"_id": 1,
"k2": "value"
}
]
}
This will create two collections named coll1 and coll2
You can create random documents using mgodatagen. Select mgodatagen mode and
create a custom configuration file.
The config file is an array of JSON documents, where each documents holds the configuration for a collection to create.
[
// first collection to create
{
"collection": <string>, // required, collection name
"count": <int>, // required, number of document to insert in the collection
"content": { // required, the actual schema to generate documents
"fieldName1": <generator>, // optional, see Generator below
"fieldName2": <generator>,
...
}
},
// second collection to create
{
...
}
]
Generators have a common structure:
"fieldName": { // required, field name in generated document
"type": <string>, // required, type of the field
"typeParam": ..., // specific parameters for this type
"maxDistinctValue": <int>, // optional, maximum number of distinct values for this field
"nullPercentage": <int> // optional, int between 0 and 100. Percentage of documents
// that will have this field
}
List of <generator> types:
Generates a random string of a certain length. String is composed of char within this list:
abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_
"fieldName": {
"type": "string", // required
"minLength": <int>, // optional, must be >= 0
"maxLength": <int>, // optional, must be >= minLength
"unique": <bool>, // optional, see details below
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
If unique is set to true, the field will only contains unique strings. Unique strings
have a fixed length, minLength is taken as length for the string.
There is 64^x possible unique string for strings of length x. This number has to
be inferior or equal to the number of documents you want to generate.
For example, if you want unique strings of length 3, there is 64 * 64 * 64 = 262144 possible
strings
They will look like
"aaa",
"aab",
"aac",
"aad",
...
Generates a random int within bounds.
"fieldName": {
"type": "int", // required
"min": <int>, // optional
"max": <int>, // optional, must be >= min
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random long within bounds.
"fieldName": {
"type": "long", // required
"min": <long>, // optional
"max": <long>, // optional, must be >= min
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random double within bounds.
"fieldName": {
"type": "double", // required
"min": <double>, // optional
"max": <double>, // optional, must be >= min
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random decimal128.
"fieldName": {
"type": "decimal", // required
"nullPercentage": <int>, // optional
"maxDistinctValue": <int>, // optional
}
Generates a random boolean.
"fieldName": {
"type": "boolean", // required
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random objectId.
"fieldName": {
"type": "objectId", // required
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random array of bson object.
"fieldName": {
"type": "array", // required
"arrayContent": <generator>, // required, generator use to create element
// to fill the array. Can be of any type
"minLength": <int>, // optional, must be >= 0
"maxLength": <int>, // optional, must be >= minLength
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates random nested object.
"fieldName": {
"type": "object", // required
"objectContent": { // required, list of generator used to
"nestedFieldName1": <generator>, // generate the nested document
"nestedFieldName2": <generator>,
...
},
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates random binary data of length within bounds.
"fieldName": {
"type": "binary", // required
"minLength": <int>, // optional, must be >= 0
"maxLength": <int>, // optional, must be >= minLength
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random date (stored as ISODate ).
startDate and endDate are string representation of a Date following RFC3339:
format: "yyyy-MM-ddThh:mm:ss+00:00"
"fieldName": {
"type": "date", // required
"startDate": <string>, // required
"endDate": <string>, // required, must be >= startDate
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Generates a random GeoJSON coordinates ( a GPS position in WSG84 decimal degrees with
folowing format: [ longitude, latitude ]
eg : [40.741895, -73.989308]
"fieldName": {
"type": "coordinates", // required
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Add the same value to each document.
"fieldName": {
"type": "constant", // required
"constVal": <object>, // required, can be of any type including object and array
// eg: {"k": 1, "v": "val"}
"nullPercentage": <int> // optional
}
Generates an autoincremented value (type <long> or <int>).
"fieldName": {
"type": "autoincrement", // required
"autoType": <string>, // required, either "int" or "long"
"start": <int|long>, // optional, start value
"nullPercentage": <int> // optional
}
Use the same list of values for fields in different collection.
"fieldName":{
"type": "reference", // required
"id": <int>, // required, generator id used to link
// field between collections
"refContent": <generator>, // required, generator to use to create the
// list of values
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
generator in other collections:
"fieldName": {
"type": "ref", // required
"id": <int>, // required, same id as previous generator
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
Pick an object from an array as value for the field. Currently, objects in the array have to be of the same type. By default, items are picked from the array in the order where they appear.
"fieldName": {
"type": "enum", // required
"values": [ // required. Can't be empty. An array of object of
<object>, // any type, including object and array.
<object>
...
],
"randomOrder": <bool>, // optional. If set to true, objects will be picked
// from the array in random order.
"nullPercentage": <int> // optional
}
Generate a random UUID ( using satori/go.uuid NewV4()).
"fieldName": {
"type": "uuid", // required
"format": <string>, // optional, either "string" or "binary".
// default is "string"
"nullPercentage": <int> // optional
}
If format is "string", the field will be a simple string like "f1b9b567-9b34-45af-9d9c-35f565d57716".
If format is "binary", the field will be stored as a bson UUID (see bsonspec.org/spec.html) like
BinData(4,"8bm1Z5s0Ra+dnDX1ZdV3Fg==").
Generate a random string from several generators
"fieldName": {
"type": "stringFromParts", // required
"parts": [ // required. Can't be empty. An array
<generator>, // of generators of any basic type
<generator>
...
],
"nullPercentage": <int> // optional
}
Example:
To generate phone number like '(555) 565-2431', you can combine several generators
like this:
"phone": {
"type": "stringFromParts",
"parts": [
{
"type": "constant",
"constVal": "(555) "
},
{
"type": "int",
"min": 100,
"max": 999
},
{
"type": "constant",
"constVal": "-"
},
{
"type": "int",
"min": 1000,
"max": 9999
},
]
}
Count documents from <database>.<collection> matching a specific query. To use a
variable of the document in the query, prefix it with "$$".
The query can't be empty or null.
"fieldName": {
"type": "countAggregator", // required
"database": <string>, // required, db to use to perform aggregation
"collection": <string>, // required, collection to use to perform aggregation
"query": <object> // required, query that selects which documents to count in
// the collection
}
Example:
Assuming that the collection first contains:
{"_id": 1, "field1": 1, "field2": "a" }
{"_id": 2, "field1": 1, "field2": "b" }
{"_id": 3, "field1": 2, "field2": "c" }
and that the generator for collection second is:
{
"database": "test",
"collection": "second",
"count": 2,
"content": {
"_id": {
"type": "autoincrement",
"autoType": "int"
"startInt": 0
},
"count": {
"type": "countAggregator",
"database": "test",
"collection": "first",
"query": {
"field1": "$$_id"
}
}
}
}
The collection second will contain:
{"_id": 1, "count": 2}
{"_id": 2, "count": 1}
Get distinct values for a specific field for documents from
<database>.<collection> matching a specific query. To use a variable of
the document in the query, prefix it with "$$".
The query can't be empty or null.
"fieldName": {
"type": "valueAggregator", // required
"database": <string>, // required, db to use to perform aggregation
"collection": <string>, // required, collection to use to perform aggregation
"key": <string>, // required, the field for which to return distinct values.
"query": <object> // required, query that specifies the documents from which
// to retrieve the distinct values
}
Example:
Assuming that the collection first contains:
{"_id": 1, "field1": 1, "field2": "a" }
{"_id": 2, "field1": 1, "field2": "b" }
{"_id": 3, "field1": 2, "field2": "c" }
and that the generator for collection second is:
{
"database": "test",
"collection": "second",
"count": 2,
"content": {
"_id": {
"type": "autoincrement",
"autoType": "int"
"startInt": 0
},
"count": {
"type": "valueAggregator",
"database": "test",
"collection": "first",
"key": "field2",
"values": {
"field1": "$$_id"
}
}
}
}
The collection second will contain:
{"_id": 1, "values": ["a", "b"]}
{"_id": 2, "values": ["c"]}
Get the lowest and highest value for a specific field of documents in
<database>.<collection> matching a specific query. To use a variable of
the document in the query, prefix it with "$$"
The query can't be empty or null
"fieldName": {
"type": "valueAggregator", // required
"database": <string>, // required, db to use to perform aggregation
"collection": <string>, // required, collection to use to perform aggregation
"key": <string>, // required, the field for which to return distinct values.
"query": <object> // required, query that specifies the documents from which
// to retrieve lower/higer value
}
Example:
Assuming that the collection first contains:
{"_id": 1, "field1": 1, "field2": "0" }
{"_id": 2, "field1": 1, "field2": "10" }
{"_id": 3, "field1": 2, "field2": "20" }
{"_id": 4, "field1": 2, "field2": "30" }
{"_id": 5, "field1": 2, "field2": "15" }
{"_id": 6, "field1": 2, "field2": "200" }
and that the generator for collection second is:
{
"database": "test",
"collection": "second",
"count": 2,
"content": {
"_id": {
"type": "autoincrement",
"autoType": "int"
"startInt": 0
},
"count": {
"type": "valueAggregator",
"database": "test",
"collection": "first",
"key": "field2",
"values": {
"field1": "$$_id"
}
}
}
}
The collection second will contain:
{"_id": 1, "values": {"m": 0, "M": 10}}
{"_id": 2, "values": {"m": 15, "M": 200}}
where m is the min value, and M the max value.
Generate 'real' data using gofakeit library.
"fieldName": {
"type": "faker", // required
"method": <string>, // required, faker method to use, for example: Name
"nullPercentage": <int>, // optional
"maxDistinctValue": <int> // optional
}
List of faker methods:
"FirstName"
"LastName"
"Name"
"NamePrefix"
"NameSuffix"
"Gender"
"Phone"
"PhoneFormatted"
"Username"
"Email"
"BS"
"BuzzWord"
"Company"
"CompanySuffix"
"JobDescriptor"
"JobLevel"
"JobTitle"
"Language"
"LanguageAbbreviation"
"CreditCardCvv"
"CreditCardExp"
"CreditCardType"
"CurrencyLong"
"CurrencyShort"
"DomainName"
"DomainSuffix"
"HTTPMethod"
"IPv4Address"
"IPv6Address"
"MacAddress"
"FileMimeType"
"SSN"
"URL"
"UserAgent"
"SafariUserAgent"
"OperaUserAgent"
"ChromeUserAgent"
"FileExtension"
"FirefoxUserAgent"
"Word"
"Question"
"Quote"
"Letter"
"ProgrammingLanguage"
"ProgrammingLanguageBest"
"HexColor"
"Color"
"HipsterWord"
"SafeColor"
"Street"
"StreetName"
"StreetNumber"
"StreetPrefix"
"StreetSuffix"
"City"
"State"
"StateAbr"
"Zip"
"Country"
"CountryAbr"
"TimeZone"
"TimeZoneAbv"
"TimeZoneFull"
"Month"
"WeekDay"
"Emoji"
"EmojiAlias"
"EmojiCategory"
"EmojiDescription"
"EmojiTag"
"HackerAbbreviation"
"HackerAdjective"
"HackeringVerb"
"HackerNoun"
"HackerPhrase"
"HackerVerb"
"CarMaker"
"CarModel"
"CarTransmissionType"
"CarFuelType"
"CarType"
"Animal"
"AnimalType"
"Cat"
"Dog"
"FarmAnimal"
"PetName"
"BeerAlcohol"
"BeerBlg"
"BeerHop"
"BeerIbu"
"BeerMalt"
"BeerName"
"BeerStyle"
"BeerYeast"
This playground has several limitations:
Currently, the playground can run only find(), aggregate() and update()
queries. Options in aggregation queries are not supported.
Currently, shell regex doesn't work in query.
so instead of
db.collection.find({
"k": /pattern/
})
use
db.collection.find({
"k": {
"$regex": "pattern"
}
})