@liquicode/jsongin
v0.0.23
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A JSON Engine for MongoDB-Style Queries and Data Structure Manipulation
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@liquicode/jsongin
Home: http://jsongin.liquicode.com
Version: 0.0.23
A JSON Engine for MongoDB-Style Queries and Data Structure Manipulation
Installation Guides
Overview
jsongin
provides a robust implementation of the MongoDB query, projection, and update mechanics.
It strives to be consistent and easy to use.
You can use MongoDB style operations in your own projects by using these jsongin
functions:
Query( Document, QueryCriteria )
Filter( Documents, QueryCriteria )
Distinct( Documents, DistinctCriteria )
Sort( Documents, SortCriteria )
Project( Document, Projection )
Update( Document, Updates )
With these functions you can query and manipulate your own data structures with MongoDB-style interface. Each MongoDB feature that is implemented here, operates accurately and in accordance with MongoDB.
I developed jsongin
to provide a single query interface that could be used against data stored
in different types of storage mediums (e.g. memory, file, server).
Now when I develop an application or server, I can work with my data in memory for development
and then quickly switch to a full MongoDB server for deployment.
To look at my project which implements a number of storage adapters for many common platforms and mediums,
see the @liquicode/jsonstor project.
There are a number of other functions implemented here which serve to not only support the above functions, but also provide functionality common to general work with Javascript objects:
Document Mechanics
SplitPath( Path )
JoinPaths( Path1, Path2, ... )
GetValue( Document, Path )
SetValue( Document, Path, Value )
Flatten( Document )
Expand( Document )
Hybridize( Document )
Unhybridize( Document )
Object Matching and Cloning
LooseEquals( DocumentA, DocumentB )
StrictEquals( DocumentA, DocumentB )
Clone( Document )
SafeClone( Document )
Data Types and Conversions
ShortType( Value )
BsonType( Value, ReturnAlias )
AsNumber( Value )
AsDate( Value )
See the Library Guide for more information.
See the Operator Reference for list of all supported MongoDB query and update operators.
Examples
// This is our example object.
let document =
{
id: 1001,
user:
{
name: 'Alice',
location: 'East',
},
profile:
{
login: 'alice',
role: 'admin',
},
tags: [ 'Staff', 'Dept. A' ],
};
Perform Queries on Documents
// Use Query to match values against a document.
jsongin.Query( document, { id: 1001 } ) === true
jsongin.Query( document, { 'user.name': 'Alice' } ) === true
jsongin.Query( document, { tags: 'Staff', 'profile.role': 'admin' } ) === true
// Query returns false when the values are not matched.
jsongin.Query( document, { tags: 'Hourly' } ) === false
jsongin.Query( document, { 'user.name': 'alice' } ) === false
// Use query operators to perform more complex matches.
jsongin.Query( document, { 'user.name': { $ne: 'Joe' } ) === true
jsongin.Query( document, { 'profile.role': { $in: ['admin', 'super'] } ) === true
jsongin.Query( document, { $or:
[
{'user.location': 'East'},
{'user.location': 'West'}
] } ) === true
jsongin.Query( document, { $and:
[
{'user.location': 'East'},
{'user.role': {$ne: 'user'}}
] } ) === true
Project Fields From One Document To Another
// Use Project to supress some fields from the output.
let p = jsongin.Project( document, { id: 0, user: 0 } );
p === {
profile:
{
login: 'alice',
role: 'admin',
},
tags: [ 'Staff', 'Dept. A' ],
}
// Use Project to include certain fields and supress the rest.
let p = jsongin.Project( document, { id: 1, tags: 1 } );
p === {
id: 1001,
tags: [ 'Staff', 'Dept. A' ],
}
// Use Project to select nested fields.
let p = jsongin.Project( document, { id: 1, "user.name": 1 } );
p === {
user: { name: 'Alice' },
tags: [ 'Staff', 'Dept. A' ],
}
Modify Fields in a Document
// Use Update to modify values in a document.
let p = jsongin.Update( document, { $set: { "user.location": 'West' } } );
p === {
id: 1001,
user:
{
name: 'Alice',
location: 'West',
},
profile:
{
login: 'alice',
role: 'admin',
},
tags: [ 'Staff', 'Dept. A' ],
}
// Use Update to add fields to a document.
let p = jsongin.Update( document, { $set: { is_logged_in: true } } );
p === {
id: 1001,
user:
{
name: 'Alice',
location: 'West',
},
profile:
{
login: 'alice',
role: 'admin',
},
tags: [ 'Staff', 'Dept. A' ],
is_logged_in: true,
}
// Use Update to remove fields in a document.
let p = jsongin.Update( document, { $unset: { user: 0 } } );
p === {
id: 1001,
profile:
{
login: 'alice',
role: 'admin',
},
tags: [ 'Staff', 'Dept. A' ],
}
Features
Developer Features:
- No external dependencies.
- 100% pure javascript.
- Single minified file (~35k) for web deployment.
- Use the
OpLog
feature to help understand and debug queries. - Extend
jsongin
by developing your own query, projection, and update operators.
Object Based Queries:
- Compose queries in a structured and logical manner.
- Easier to read, understand, and debug.
- Maintain comments and documentation in your query source.
- Programatically create and structure data queries.