scattered-store

scattered-store

Dead simple key-value store for large datasets in Node.js.

Way of storing data

Scattered-store borrows idea for storing data from Git Objects. Let's say we have code:

var store = scatteredStore.create('my_store'); // Name of directory where to store data
store.set('abc', 'Hello World!'); // key: 'abc', value: 'Hello World!'

The code above, when run will store data in file:

/my_store/a9/993e364706816aba3e25717850c26c9cd0d89d

And the algorithm went as follows:

• Key abc was hashed with sha1 to: a9993e364706816aba3e25717850c26c9cd0d89d
• The hash was then splitted into two parts:
  • First two characters (a9) became the name of directory where the entry ended up.
  • Remaining 38 characters (993e364706816aba3e25717850c26c9cd0d89d) became the name of file where data Hello World! has been stored.

So every entry is stored in separate file, and all files are scattered across maximum of 256 directories (two hex characters) to overcome limit of files per one directory. That's why it's called scattered-store.

Pros

Every entry is stored in separate file what means:

• Implementation is very, very simple. All heavy lifting is done by file system.
• Dataset can safely grow to ridiculous sizes.

Cons

Every entry is stored in separate file what means:

• If the entry is 10 bytes of data, it still occupies whole block on disk.
• Every operation is a separate I/O. Not much room for performance improvements with batch tasks.

Installation

npm install scattered-store

Usage

var scatteredStore = require('scattered-store');

var store = scatteredStore.create('path/to/my/store', function (err) {
    if (err) {
        // Oops! Something went wrong with initialization.
    } else {
        // Initialization done!
    }
});

// You don't have to wait for initialization to be done before calling API methods.
// All calls will be queued and delayed until initialization is ready.
store.set('abc', 'Hello World!')
.then(function () {
    return store.get('abc');
});
.then(function (value) {
    console.log(value); // Hello World!
})

Supported key and value types

As key only strings can be used. Value could be everything what can be serialized to JSON and any binary data (passed as Buffer). JSON deserialization also automatically turns ISO notation strings into Date objects.

API

set(key, value)

Stores given value on given key. String, Object, Array and Buffer are supported as value.
Returns: promise

store.set('abc', 'Hello World!')
.then(function () {
    // Value has been stored!
});

get(key)

Returns value stored on given key. If given key doesn't exist in database null is returned.
Returns: promise which when resolved returns value

store.get('abc')
.then(function (value) {
    console.log(value); // Hello World!
});

getMany(keys)

As keys accepts array of key strings, and returns all values for those keys.
Returns: readable stream

var stream = store.getMany(["abc", "xyz"]);
stream.on('readable', function () {
    var entry = stream.read();
    console.log(entry);
    // Every returned entry object has structure: { key: "abc", value: "Hello World!" }
    // Order of items returned through stream can't be guaranteed!
});
stream.on('end', function () {
    // All entries you asked for has been delivered.
});

getAll()

Returns all data stored in database through stream (one by one).
Returns: readable stream

var stream = store.getAll();
stream.on('readable', function () {
    var entry = stream.read();
    console.log(entry);
    // Every returned entry object has structure: { key: "abc", value: "Hello World!" }
    // Order of items returned through stream can't be guaranteed!
});
stream.on('end', function () {
    // Everything there was in the database has been delivered.
});

delete(key)

Deletes entry stored on given key.
Returns: promise

store.delete('abc')
.then(function () {
    // Value has been deleted from database!
});

Performance

npm run benchmark

Here are results of this test on few machines for comparison:

Desktop PC (HDD 7200rpm)

Testing scattered-store performance: 20000 items, 50KB each, 977MB combined.
set... 2522 ops/s
get... 4471 ops/s
getAll... 8428 ops/s
delete... 5605 ops/s

MacBook Pro (SSD)

Testing scattered-store performance: 20000 items, 50KB each, 977MB combined.
set... 1694 ops/s
get... 4018 ops/s
getAll... 6416 ops/s
delete... 4030 ops/s 

Mac Mini (HDD 5400rpm)

Testing scattered-store performance: 20000 items, 50KB each, 977MB combined.
set... 726 ops/s
get... 3860 ops/s
getAll... 5071 ops/s
delete... 1130 ops/s