TaffyDB is an open source JavaScript library that provides powerful in-memory database capabilities to both browser and server applications.
Have you ever noticed how JavaScript object literals look a lot like
records? And that if you wrap a group of them up in an array you have
something that looks a lot like a database table? We did too.
We created TaffyDB easily and efficiently manipulate these 'tables'
with a uniform and familiar SQL-like interface.
We use TaffyDB instead of ad-hoc data manipulation routines throughout our applications. This reduces development time, improves performance, simplifies maintenance, and increases quality.
Please see the official website for more complete documentation.
- Extremely fast
- Powerful JavaScript-centric data selection engine
- SQL inspired features such as insert, update, unique, count, and more
- Robust cross browser support
- Easily extended with your own functions
- Compatible with any DOM library (jQuery, YUI, Dojo, etc)
TaffyDB is compatible with all modern browsers: IE9+, FF3+, Safari 5+, and Chrome 1.0+. It also works in NodeJS 0.10+.
Just pass in a JSON array:
var product_db = TAFFY([
{ "item" : 1,
"name" : "Blue Ray Player",
"price" : 99.99
},
{ "item" : 2,
"name" : "3D TV",
"price" : 1799.99
}
]);
// where item is equal to 1
var item1 = products({item:1});
// where price is less than 100
var lowPricedItems = products({price:{lt:100}});
// where name is like "Blue Ray"
var blueRayPlayers = products({name:{like:"Blue Ray"}});
// get first record
products().first();
// get last record
products().last();
// update the price of the Blue Ray Player to 89.99
products({item:1}).update({price:89.99});
// loop over the records and call a function
products().each(function (r) {alert(r.name)});
// sort the records by price descending
products.sort("price desc");
// select only the item names into an array
products().select("name"); // returns ["3D TV","Blue Ray Player"]
// Inject values from a record into a string template.
// Row value will be set to "<tr><td>3D TV</td><td>17999.99</td></tr>"
var row = products({item:2})
.supplant("<tr><td>{name}</td><td>{price}</td></tr>");
TaffyDB is easy to use in Node.JS. Simply install using npm
and require
the
package:
$ npm install --production taffy
# and then in your code
TAFFY = require( 'taffy' ).taffy;
The automated regression test file nodeunit_suite.js
is an excellent
example.
TaffyDB has been used and refined for years for numerous production tools and commercial products. It is therefore is quite stable and reliable. However, we want expand our regression test coverage so we can easily improve the code with the confidence that we are unlikely to break exising capabilities.
Run the install_dev.sh
script to install development utilities such as jslint
,
nodeunit
, and uglifyjs
to the bin
directory.
./install_dev.sh
Running the nodeunit regression test suite is simple:
cd taffydb
./install_dev.sh # as above
bin/nodeunit ./nodeunit_suite.js
Please do not send a pull request unless your changes have passed these tests. We check, you know :)
We wish to substantially expand the number of tests, and your
help is welcome! The code, nodeunit_suite.js
, should be easy to adjust.
Pull requests that include regression test inclusions are very much
appreciated. Alternately, if you just send along a test scenario, we'd be
happy to include it in the suite, time permitting.
View more docs and examples, get support, and get notified of updates:
Web: https://taffydb.com Twitter: https://twitter.com/biastoact
Copyright (c) All rights reserved.
Redistribution and use of this software in source and binary forms, with or without modification, are permitted provided that the following condition is met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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