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Comparing version 1.7.2 to 1.7.3

13

lib/model.js

@@ -625,3 +625,16 @@ /**

};
comparisonFunctions.$elemMatch = function (obj, value) {
if (!util.isArray(obj)) { return false; }
var i = obj.length;
var result = false; // Initialize result
while (i--) {
if (match(obj[i], value)) { // If match for array element, return true
result = true;
break;
}
}
return result;
};
arrayComparisonFunctions.$size = true;
arrayComparisonFunctions.$elemMatch = true;

@@ -628,0 +641,0 @@

2

package.json
{
"name": "nedb",
"version": "1.7.2",
"version": "1.7.3",
"author": {

@@ -5,0 +5,0 @@ "name": "Louis Chatriot",

@@ -274,4 +274,7 @@ <img src="http://i.imgur.com/9O1xHFb.png" style="width: 25%; height: 25%; float: left;">

#### Array fields
When a field in a document is an array, NeDB first tries to see if the query value is an array to perform an exact match, then whether there is an array-specific comparison function (for now there is only `$size`) being used. If not, the query is treated as a query on every element and there is a match if at least one element matches.
When a field in a document is an array, NeDB first tries to see if the query value is an array to perform an exact match, then whether there is an array-specific comparison function (for now there is only `$size` and `$elemMatch`) being used. If not, the query is treated as a query on every element and there is a match if at least one element matches.
* `$size`: match on the size of the array
* `$elemMatch`: matches if at least one array element matches the query entirely
```javascript

@@ -287,2 +290,16 @@ // Exact match

// Using an array-specific comparison function
// $elemMatch operator will provide match for a document, if an element from the array field satisfies all the conditions specified with the `$elemMatch` operator
db.find({ completeData: { planets: { $elemMatch: { name: 'Earth', number: 3 } } } }, function (err, docs) {
// docs contains documents with id 5 (completeData)
});
db.find({ completeData: { planets: { $elemMatch: { name: 'Earth', number: 5 } } } }, function (err, docs) {
// docs is empty
});
// You can use inside #elemMatch query any known document query operator
db.find({ completeData: { planets: { $elemMatch: { name: 'Earth', number: { $gt: 2 } } } } }, function (err, docs) {
// docs contains documents with id 5 (completeData)
});
// Note: you can't use nested comparison functions, e.g. { $size: { $lt: 5 } } will throw an error

@@ -669,2 +686,4 @@ db.find({ satellites: { $size: 2 } }, function (err, docs) {

* Do not build the browser version in your branch, I'll take care of it once the code is merged.
* Update the readme accordingly.
* Last but not least: keep in mind what NeDB's mindset is! The goal is not to be a replacement for MongoDB, but to have a pure JS database, easy to use, cross platform, fast and expressive enough for the target projects (small and self contained apps on server/desktop/browser/mobile). Sometimes it's better to shoot for simplicity than for API completeness with regards to MongoDB.

@@ -671,0 +690,0 @@ ## Bug reporting guidelines

@@ -1219,2 +1219,26 @@ var model = require('../lib/model')

it('Can query array documents with multiple simultaneous conditions', function () {
// Non nested documents
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Dewey", age: 7 } } }).should.equal(true);
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Dewey", age: 12 } } }).should.equal(false);
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Louie", age: 3 } } }).should.equal(false);
// Nested documents
model.match({ outer: { childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] } }, { "outer.childrens": { $elemMatch: { name: "Dewey", age: 7 } } }).should.equal(true);
model.match({ outer: { childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] } }, { "outer.childrens": { $elemMatch: { name: "Dewey", age: 12 } } }).should.equal(false);
model.match({ outer: { childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] } }, { "outer.childrens": { $elemMatch: { name: "Louie", age: 3 } } }).should.equal(false);
});
it('$elemMatch operator works with empty arrays', function () {
model.match({ childrens: [] }, { "childrens": { $elemMatch: { name: "Mitsos" } } }).should.equal(false);
model.match({ childrens: [] }, { "childrens": { $elemMatch: {} } }).should.equal(false);
});
it('Can use more complex comparisons inside nested query documents', function () {
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Dewey", age: { $gt: 6, $lt: 8 } } } }).should.equal(true);
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Dewey", age: { $in: [ 6, 7, 8 ] } } } } ).should.equal(true);
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Dewey", age: { $gt: 6, $lt: 7 } } } }).should.equal(false);
model.match({ childrens: [ { name: "Huey", age: 3 }, { name: "Dewey", age: 7 }, { name: "Louie", age: 12 } ] }, { "childrens": { $elemMatch: { name: "Louie", age: { $gt: 6, $lte: 7 } } } }).should.equal(false);
});
});

@@ -1221,0 +1245,0 @@

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