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meggart authored Dec 7, 2021
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[![Build Status](https://travis-ci.org/wildart/LMDB.jl.svg?branch=master)](https://travis-ci.org/wildart/LMDB.jl)
[![Coverage Status](https://img.shields.io/coveralls/wildart/LMDB.jl.svg)](https://coveralls.io/r/wildart/LMDB.jl)

Lightning Memory-Mapped Database (LMDB) is an ultra-fast, ultra-compact key-value embedded data store developed by Symas for the OpenLDAP Project. It uses memory-mapped files, so it has the read performance of a pure in-memory database while still offering the persistence of standard disk-based databases, and is only limited to the size of the virtual address space. This module provides a Julia interface to [LMDB (v0.9.22)](https://github.com/LMDB/lmdb).
Lightning Memory-Mapped Database (LMDB) is an ultra-fast, ultra-compact key-value embedded data store developed by Symas for the OpenLDAP Project. It uses memory-mapped files, so it has the read performance of a pure in-memory database while still offering the persistence of standard disk-based databases, and is only limited to the size of the virtual address space. This module provides a Julia interface to [LMDB (v0.9.27)](https://github.com/LMDB/lmdb).

## Installation
For julia 0.6 or less, use the package using package manager functions:
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## Documentation

For more information, see the **[Documentation](http://wildart.github.io/LMDB.jl/)**.
For more information, see the **[Documentation](http://wildart.github.io/LMDB.jl/dev)**.

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@meggart meggart commented on c4d95af Dec 7, 2021

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Registration pull request created: JuliaRegistries/General/50083

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.2.0 -m "<description of version>" c4d95af484e73bf6e4216f4993544a065d970d2d
git push origin v0.2.0

Also, note the warning: This looks like a new registration that registers version 0.2.0.
Ideally, you should register an initial release with 0.0.1, 0.1.0 or 1.0.0 version numbers
This can be safely ignored. However, if you want to fix this you can do so. Call register() again after making the fix. This will update the Pull request.

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