$ npm install mingo
MongoDB query language for in-memory objects
$ npm install mingo
<array>.<index>
and <document>.<field>
.$$ROOT
, $$CURRENT
, $$DESCEND
, $$PRUNE
, $$KEEP
, $$REMOVE
, $$NOW
toString
when implemented.For more documentation on how to use operators see mongodb.
Browse package docs for modules.
// Use as es6 module
import mingo from "mingo";
// or vanilla nodeJS
const mingo = require("mingo");
The main module exports Aggregator
, Query
, aggregate()
, find()
, and remove()
. Only Query and Projection operators are loaded by default when you require the main module. This is done using the side-effect module mingo/init/basic
and automatically includes pipeline operators; $project
, $skip
, $limit
, and $sort
.
MongoDB query library is huge and you may not need all the operators. If using this library on the server-side where bundle size is not a concern, you can load all operators as shown below.
// Note that doing this effectively imports the entire library into your bundle and unused operators cannot be tree shaked
import "mingo/init/system";
Or from the node CLI
node -r 'mingo/init/system' myscript.js
To support tree-shaking for client side bundles, you can import and register specific operators that will be used in your application.
import { useOperators, OperatorType } from "mingo/core";
import { $trunc } from "mingo/operators/expression";
import { $bucket } from "mingo/operators/pipeline";
useOperators(OperatorType.EXPRESSION, { $trunc });
useOperators(OperatorType.PIPELINE, { $bucket });
const core = require("mingo/core");
const $trunc = require("mingo/operators/expression").$trunc;
const $bucket = require("mingo/operators/pipeline").$bucket;
const useOperators = core.useOperators;
const OperatorType = core.OperatorType;
useOperators(OperatorType.EXPRESSION, { $trunc: $trunc });
useOperators(OperatorType.PIPELINE, { $bucket: $bucket });
import { Query } from "mingo";
// create a query with criteria
// find all grades for homework with score >= 50
let query = new Query({
type: "homework",
score: { $gte: 50 }
});
// test if an object matches query
query.test(doc);
import { Query } from "mingo";
// input is either an Array or any iterable source (i.e Object{next:Function}) including ES6 generators.
let criteria = { score: { $gt: 10 } };
let query = new Query(criteria);
// filter collection with find()
let cursor = query.find(collection);
// alternatively use shorthand
// cursor = mingo.find(collection, criteria)
// sort, skip and limit by chaining
cursor.sort({ student_id: 1, score: -1 }).skip(100).limit(100);
// count matches. exhausts cursor
cursor.count();
// classic cursor iterator (old school)
while (cursor.hasNext()) {
console.log(cursor.next());
}
// ES6 iterators (new cool)
for (let value of cursor) {
console.log(value);
}
// all() to retrieve matched objects. exhausts cursor
cursor.all();
To use the $jsonSchema
operator, you must register your own JsonSchemaValidator
in the options.
No default implementation is provided out of the box so users can use a library with their preferred schema format.
The example below uses Ajv to implement schema validation.
import { RawObject } from "mingo/types"
import { JsonSchemaValidator } from "mingo/core"
import Ajv, { Schema } from "ajv"
const jsonSchemaValidator: JsonSchemaValidator = (s: RawObject) => {
const ajv = new Ajv();
const v = ajv.compile(s as Schema);
return (o: RawObject) => (v(o) ? true : false);
};
const schema = {
type: "object",
required: ["item", "qty", "instock"],
properties: {
item: { type: "string" },
qty: { type: "integer" },
size: {
type: "object",
required: ["uom"],
properties: {
uom: { type: "string" },
h: { type: "number" },
w: { type: "number" },
},
},
instock: { type: "boolean" },
},
};
// queries documents using schema validation
find(docs, { $jsonSchema: schema }, {}, { jsonSchemaValidator }).all();
Note: An error is thrown when the $jsonSchema
operator is used without a the jsonSchemaValidator
configured.
import { Aggregator } from "mingo/aggregator";
import { useOperators, OperatorType } from "mingo/core";
import { $match, $group } from "mingo/operators/pipeline";
import { $min } from "mingo/operators/accumulator";
// ensure the required operators are preloaded prior to using them.
useOperators(OperatorType.PIPELINE, { $match, $group });
useOperators(OperatorType.ACCUMULATOR, { $min });
let agg = new Aggregator([
{ $match: { type: "homework" } },
{ $group: { _id: "$student_id", score: { $min: "$score" } } },
{ $sort: { _id: 1, score: 1 } }
]);
// return an iterator for streaming results
let stream = agg.stream(collection);
// return all results. same as `stream.all()`
let result = agg.run(collection);
Query and aggregation operations can be configured with options to enabled different features or customize how documents are processed. Some options are only relevant to specific operators and need not be specified if not required.
Name | Description | Default | Behaviour |
---|---|---|---|
idKey | The key that is used to lookup the ID value of a document. | "_id" | |
collation | Collation specification for string sorting operations. | none | See Intl.Collator |
processingMode | Determines copy rules for inputs and outputs. | CLONE_OFF | Turn off cloning and modifies the input collection as needed. This option will also return output objects with shared paths in their graph when specific operators are used. Provides the greatest speedup by minizing cloning. When using the aggregation pipeline, you can use the $out operator to collect immutable intermediate results. |
useStrictMode | Enforces strict MongoDB compatibilty. | true | When disabled, behaviour changes as follows.
|
scriptEnabled | Enable or disable using custom script execution. | true | When disabled, operators that execute custom code are disallowed such as; $where , $accumulator , and $function . |
hashFunction | Custom hash function to replace the default based on "Effective Java" hashCode. | default | Expects function (value: unknown) => number . |
collectionResolver | Function to resolve strings to arrays for use with operators that reference other collections such as; $lookup , $out and $merge . |
none | Expects function (name: string) => RawObject[] |
jsonSchemaValidator | JSON schema validator to use for the $jsonSchema operator. |
none | Expects function (schema: RawObject) => (document: RawObject) => boolean .The $jsonSchema operation would fail if a validator is not provided. |
variables | Global variables to pass to all operators | none | |
context | Container to use for loading operators. | none | This option allow users to load only desired operators or register custom operators which need not be available globally. |
useGlobalContext | Allow falling back to the global context when operator is not found in the provided context. | true | This is provided to allow users to strictly enforce which operators may be usable. |
Custom operators can be registered using Context
via the context
option which is the recommended way from 6.4.2
. The Context
is a container for operators, that the execution engine will use to process queries. Previously, the useOperators(...) function was used to register operators globally but that is no longer preferred. The difference between the two is that a globally registered operator cannot be overwritten whereas a new context may be created and used at anytime.
NB: Note that the execution engine will first try to find the operator in the context and fallback to the global context when not found.
Each operator type has a specific interface to which an implementation must conform to be valid.
Pre-loaded operators defined here cannot be overridden. These include;
$project
, $skip
, $limit
, and $sort
.NB: Update operators is not supported in
Context
.
An update operation can be performed using the updateObject
function from the mingo/updater
module. Unlike other operations in the library, this only works on a single object.
The query and aggregation operators are powerful enough to use for transforming arrays of documents and should be preferred when dealing with multiple objects.
updateObject
returns an array of all paths that were updated. It also supports arrayFilters for applicable operators. To detect whether a change occured you can check the length of the returned array.
All operators as of MongoDB 5.0 are supported except the positional array operator $
.
import { updateObject } from "mingo/updater";
// all update operators are automatically loaded.
const obj = {
firstName: "John",
lastName: "Wick",
age: 40,
friends: ["Scooby", "Shagy", "Fred"]
};
// returns array of modified paths if value changed.
updateObject(obj, { $set: { firstName: "Bob", lastName: "Doe" } }); // ["firstName", "lastName"]
// update nested values.
updateObject(obj, { $pop: { friends: 1 } }); // ["friends"] => friends: ["Scooby", "Shagy"]
// update nested value path
updateObject(obj, { $unset: { "friends.1": "" } }); // ["friends.1"] => friends: ["Scooby", null]
// update with condition
updateObject(obj, { $set: { "friends.$[e]": "Velma" } }, [{ e: null }]); // ["friends"] => friends: ["Scooby", "Velma"]
// empty array returned if value has not changed.
updateObject(obj, { $set: { fristName: "Bob" } }); // [] => no change to object.
You can also create a preconfigured updater function.
import { createUpdater } from "mingo/updater";
// configure updater to deep clone passed values. clone mode defaults to "copy".
const updateObject = createUpdater({ cloneMode: "deep" });
const state = { people: ["Fred", "John"] };
const newPeople = ["Amy", "Mark"];
console.log(state.people); // ["Fred", "John"]
updateObject(state, { $set: { people: newPeople } });
newPeople.push("Jason");
console.log(state.people); // ["Amy", "Mark"]
console.log(newPeople); // ["Amy", "Mark", "Jason"]
This list describes how this library differs from the full MongoDB query engine.
$collStat
, $planCacheStats
, $listSessions
.$comment
, $meta
, $text
.$
.$toObjectId
, $binarySize
, bsonSize
.$merge
enforces unique constraint on the lookup field at runtime.$where
, $function
, and $accumulator
, do not accept strings as the function body.scriptEnabled
option.merge
option.$jsonSchema
operator requires the user to register their own validator using the jsonSchemaValidator
configuration.npm test
to build and run unit tests.To validate correct behaviour and semantics of operators, you may also test against mongoplayground.net. Credit to the author.
A big thank you to all users and CONTRIBUTORS of this library.
MIT
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