Level/leveldown-hyper

Name: leveldown-hyper

Owner: Node.js LevelDB

Description: Fork of leveldown using HyperDex fork of LevelDB as backend

Created: 2015-05-10 17:15:45.0

Updated: 2017-08-07 13:24:54.0

Pushed: 2018-01-17 17:08:50.0

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Size: 11525

Language: C++

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README

LevelDOWNHyper

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A Low-level Node.js LevelDB binding

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LevelDOWNHyper is a fork of LevelDOWN and uses HyperLevelDB as backend. It extends the LevelDOWN api with functionality to do live backups. This README only documents the liveBackup() method. For a complete reference we refer to LevelDOWN.

LevelDOWN can be considered an upstream repository to LevelDOWNHyper and any common logic and bug fixes will be merged from upstream into this repository.


liveBackup(name, callback)

liveBackup() is an instance method on an existing database object, used to make a live backup of the current state of the database.

The name parameter is a String. A successful live backup will result in a backup folder named backup-:name inside the location folder of the current database.

The callback function will be called with no arguments when a live backup was successful, or with a single error argument if the backup operation failed for any reason.

Community

LevelDOWNHyper is an OPEN Open Source Project. This means that:

Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project.

See the contribution guide for more details.

License & Copyright

Copyright (c) 2012-2017 LevelDOWNHyper contributors.

LevelDOWNHyper is licensed under the MIT license. All rights not explicitly granted in the MIT license are reserved. See the included LICENSE.md file for more details.

LevelDOWNHyper builds on the excellent work of the HyperLevelDB team and the LevelDB and Snappy teams from Google and additional contributors. HyperLevelDB, LevelDB and Snappy are issued under the New BSD Licence.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.