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Installation: npm install sift
, or yarn add sift
For extended documentation, checkout http://docs.mongodb.org/manual/reference/operator/query/
import sift from "sift"; //intersecting arrays const result1 = ["hello", "sifted", "array!"].filter( sift({ $in: ["hello", "world"] }) ); //['hello'] //regexp filter const result2 = ["craig", "john", "jake"].filter(sift(/^j/)); //['john','jake'] // function filter const testFilter = sift({ //you can also filter against functions name: function(value) { return value.length == 5; } }); const result3 = [ { name: "craig" }, { name: "john" }, { name: "jake" } ].filter(testFilter); // filtered: [{ name: 'craig' }] //you can test *single values* against your custom sifter testFilter({ name: "sarah" }); //true testFilter({ name: "tim" }); //false
Creates a filter with all of the built-in MongoDB query operations.
query
- the filter to use against the target arrayoptions
operations
- custom operationscompare
- compares difference between two valuesExample:
import sift from "sift"; const test = sift({ $gt: 5 })); console.log(test(6)); // true console.log(test(4)); // false [3, 4, 5, 6, 7].filter(sift({ $exists: true })); // [6, 7]
Creates a filter function without built-in MongoDB query operations. This is useful if you're looking to omit certain operations from application bundles. See Omitting built-in operations for more info.
import { createQueryTester, $eq, $in } from "sift"; const filter = createQueryTester({ $eq: 5 }, { operations: { $eq, $in } });
Used for custom operations.
import { createQueryTester, createEqualsOperation, $eq, $in } from "sift"; const filter = createQueryTester( { $mod: 5 }, { operations: { $something(mod, ownerQuery, options) { return createEqualsOperation( value => value % mod === 0, ownerQuery, options ); } } } ); filter(10); // true filter(11); // false
See MongoDB's advanced queries for more info.
array value must be $in the given query:
Intersecting two arrays:
//filtered: ['Brazil'] ["Brazil", "Haiti", "Peru", "Chile"].filter( sift({ $in: ["Costa Rica", "Brazil"] }) );
Here's another example. This acts more like the $or operator:
[{ name: "Craig", location: "Brazil" }].filter( sift({ location: { $in: ["Costa Rica", "Brazil"] } }) );
Opposite of $in:
//filtered: ['Haiti','Peru','Chile'] ["Brazil", "Haiti", "Peru", "Chile"].filter( sift({ $nin: ["Costa Rica", "Brazil"] }) );
Checks if whether a value exists:
//filtered: ['Craig','Tim'] sift({ $exists: true })(["Craig", null, "Tim"]);
You can also filter out values that don't exist
//filtered: [{ name: "Tim" }] [{ name: "Craig", city: "Minneapolis" }, { name: "Tim" }].filter( sift({ city: { $exists: false } }) );
Checks if a number is >= value:
//filtered: [2, 3] [0, 1, 2, 3].filter(sift({ $gte: 2 }));
Checks if a number is > value:
//filtered: [3] [0, 1, 2, 3].filter(sift({ $gt: 2 }));
Checks if a number is <= value.
//filtered: [0, 1, 2] [0, 1, 2, 3].filter(sift({ $lte: 2 }));
Checks if number is < value.
//filtered: [0, 1] [0, 1, 2, 3].filter(sift({ $lt: 2 }));
Checks if query === value
. Note that $eq can be omitted. For $eq, and $ne
//filtered: [{ state: 'MN' }] [{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter( sift({ state: { $eq: "MN" } }) );
Or:
//filtered: [{ state: 'MN' }] [{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter( sift({ state: "MN" }) );
Checks if query !== value
.
//filtered: [{ state: 'CA' }, { state: 'WI'}] [{ state: "MN" }, { state: "CA" }, { state: "WI" }].filter( sift({ state: { $ne: "MN" } }) );
Modulus:
//filtered: [300, 600] [100, 200, 300, 400, 500, 600].filter(sift({ $mod: [3, 0] }));
values must match everything in array:
//filtered: [ { tags: ['books','programming','travel' ]} ] [ { tags: ["books", "programming", "travel"] }, { tags: ["travel", "cooking"] } ].filter(sift({ tags: { $all: ["books", "programming"] } }));
ability to use an array of expressions. All expressions must test true.
//filtered: [ { name: 'Craig', state: 'MN' }] [ { name: "Craig", state: "MN" }, { name: "Tim", state: "MN" }, { name: "Joe", state: "CA" } ].filter(sift({ $and: [{ name: "Craig" }, { state: "MN" }] }));
OR array of expressions.
//filtered: [ { name: 'Craig', state: 'MN' }, { name: 'Tim', state: 'MN' }] [ { name: "Craig", state: "MN" }, { name: "Tim", state: "MN" }, { name: "Joe", state: "CA" } ].filter(sift({ $or: [{ name: "Craig" }, { state: "MN" }] }));
opposite of or:
//filtered: [{ name: 'Joe', state: 'CA' }] [ { name: "Craig", state: "MN" }, { name: "Tim", state: "MN" }, { name: "Joe", state: "CA" } ].filter(sift({ $nor: [{ name: "Craig" }, { state: "MN" }] }));
Matches an array - must match given size:
//filtered: ['food','cooking'] [{ tags: ["food", "cooking"] }, { tags: ["traveling"] }].filter( sift({ tags: { $size: 2 } }) );
Matches a values based on the type
[new Date(), 4342, "hello world"].filter(sift({ $type: Date })); //returns single date [new Date(), 4342, "hello world"].filter(sift({ $type: String })); //returns ['hello world']
Matches values based on the given regular expression
["frank", "fred", "sam", "frost"].filter( sift({ $regex: /^f/i, $nin: ["frank"] }) ); // ["fred", "frost"] ["frank", "fred", "sam", "frost"].filter( sift({ $regex: "^f", $options: "i", $nin: ["frank"] }) ); // ["fred", "frost"]
Matches based on some javascript comparison
[{ name: "frank" }, { name: "joe" }].filter( sift({ $where: "this.name === 'frank'" }) ); // ["frank"] [{ name: "frank" }, { name: "joe" }].filter( sift({ $where: function() { return this.name === "frank"; } }) ); // ["frank"]
Matches elements of array
var bills = [ { month: "july", casts: [ { id: 1, value: 200 }, { id: 2, value: 1000 } ] }, { month: "august", casts: [ { id: 3, value: 1000 }, { id: 4, value: 4000 } ] } ]; var result = bills.filter( sift({ casts: { $elemMatch: { value: { $gt: 1000 } } } }) ); // {month:'august', casts:[{id:3, value: 1000},{id: 4, value: 4000}]}
Not expression:
["craig", "tim", "jake"].filter(sift({ $not: { $in: ["craig", "tim"] } })); //['jake'] ["craig", "tim", "jake"].filter(sift({ $not: { $size: 5 } })); //['tim','jake']
Mongodb allows you to do date comparisons like so:
db.collection.find({ createdAt: { $gte: "2018-03-22T06:00:00Z" } });
In Sift, you'll need to specify a Date object:
collection.find( sift({ createdAt: { $gte: new Date("2018-03-22T06:00:00Z") } }) );
Sift works like MongoDB out of the box, but you're also able to modify the behavior to suite your needs.
You can register your own custom operations. Here's an example:
import sift, { createEqualsOperation } from "sift"; var filter = sift( { $customMod: 2 }, { operations: { $customMod(params, ownerQuery, options) { return createEqualsOperation( value => value % params !== 0, ownerQuery, options ); } } } ); [1, 2, 3, 4, 5].filter(filter); // 1, 3, 5
You can create a filter function that omits the built-in operations like so:
import { createQueryTester, $in, $all, $nin, $lt } from "sift"; const test = createQueryTester( { $eq: 10 }, { operations: { $in, $all, $nin, $lt } } ); [1, 2, 3, 4, 10].filter(test);
For bundlers like Webpack
and Rollup
, operations that aren't used are omitted from application bundles via tree-shaking.