The find-query is based on the syntax of the MongoDB JavaScript driver (http://mongodb.github.io/node-mongodb-native/api-generated/collection.html#find). At least one query object is required. Optionally you can also specify an options object.
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A special feature of Mongo Management Studio is to enter the queries as quickly and easily as possible. The following example queries refer to the zipcode collection zipcode from the Getting started tutorial.
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// Search all cities in the U.S. State of California. (CA)
// all the following queries return the same result
// standard MongoDB query
{state: "CA"}
// If there is no options object, the curly braces can be omitted
state: "CA"
// You can also write everything in quotation marks
"state": "CA"
// Or use single quotes
state: 'CA' |
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MongoDB queries always distinguishes between upper and lowercase. To work around this, you can use Regular Expressions. |
Of course it is possible to make more complex queries in this manner.
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//Find all cities in the U.S. State of Alabama(AL) with more than 40,000 inhabitants
// standard MongoDB query
{
state: "AL",
pop: {
$gt: 40000
}
}
// shortened query
state: "AL", pop: {$gt: 40000}
// shortened query without whitespaces
state:"AL",pop:{$gt:40000} |
Using options
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// Find all cities in the U.S. State of Alabama(AL) with more than 40,000 inhabitants and return only the names of the cities as result
{state: "AL", pop: {$gt: 40000}}, {fields: {city: 1}}
// Array Syntax
{state: "AL", pop: {$gt: 40000}}, {fields: ['city']}
// also id field leave out
{state: "AL", pop: {$gt: 40000}}, {fields: {city: 1, _id: 0}}
// Find all cities in the U.S. State of Alabama(AL) with a population of more than 10,000 and sort in ascending order by city name
{state: "AL", pop: {$gt: 10000}}, {sort: {city: 1}}
// Find all cities in the U.S. State of Alabama(AL) with a population of more than 10,000 and return 10 documents, whereby the first 20 documents are skipped
{state: "AL", pop: {$gt: 10000}}, {limit: 10, skip: 20} |
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If you want to use "$elemMatch" with ObjectIds or ISODates in the options (see example), you must use the console mode. | Codeblock |
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| {}, {fields: {match: {$elemMatch: {a: ObjectId("53ea1f663b6f20cc19001002")}}}} |
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In the table view you can also sort without having to use a sort option. For this purpose, it is enough to click on the name of a column to sort by that. The sorting is reversed by repeated clicking on the column name. |
Special data types
ObjectId
The following queries will each return the same result if you are looking for a specific ObjectId
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{_id: ObjectId('52bd27ebf370afe931001364')}
{_id: ObjectId("52bd27ebf370afe931001364")}
_id: ObjectId('52bd27ebf370afe931001364')
_id: ObjectId("52bd27ebf370afe931001364")
_id: "52bd27ebf370afe931001364"
_id: '52bd27ebf370afe931001364' |
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Date values must be entered in a specific syntax because they can´t be converted automatically.
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// as ISO-String
start: ISODate('2013-08-02T08:20:38.993Z')
// as date-String
start: {$gte: {ISODate('dec 11, 1989')}}
start: {$gte: {ISODate("1989, 12, 11")}}
// as timestamp in ms
start: ISODate(629379488000) |
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JavaScript works in milliseconds, UNIX timestamps must be multiplied by 1000 to be correctly converted or displayed. |
Regex as a data field value assignment
If a field of a document has a value with a regex expression, you can this query as follows.
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You must specify the complete regex expression to obtain the corresponding document with the correct value. |
Regex queries for fields with strings
You can also use regex to query fields.
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In the current version only the parameter "i" and "m" are supported as options in the short notation. The parameter "s" and "x" follow in a later version. |