Difference between revisions of "LMDB BoF"

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* Ryan Stuart (@rstuart85) - Experimenting with using LMDB for [https://github.com/Kapiche/caterpillar/ Caterpillar].
 
* Ryan Stuart (@rstuart85) - Experimenting with using LMDB for [https://github.com/Kapiche/caterpillar/ Caterpillar].
 
*  [http://www.humbug.org.au/RussellStuart Russell Stuart] - Unpaid [https://github.com/Kapiche/caterpillar/ Caterpillar] dogsbody.
 
*  [http://www.humbug.org.au/RussellStuart Russell Stuart] - Unpaid [https://github.com/Kapiche/caterpillar/ Caterpillar] dogsbody.
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* Stephen Donnelly - Newbie/General interest
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* Kevin Tran
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* [[user:Andrew Buckeridge|Andrew Buckeridge]]
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== Outcome ==
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SQLight on GitHub: https://github.com/rstuart85/sqlightning
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Berkeley DB SQL http://www.oracle.com/technetwork/database/berkeleydb/overview/sql-160887.html

Latest revision as of 20:02, 14 January 2015

< Main Page < Programme < BoF Sessions

Tuesday 18:30 Caseroom 3

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, (it is not limited to the size of physical RAM). According to almost every benchmark, LMDB is one of the fastest key/value stores available today.

This BoF is for people to:

  • Talk about how they are using LMDB;
  • Talk about their experiences using LMDB;
  • Ask question about LMDB; and
  • Learn about LMDB;

Please register your attendance below:


Outcome

SQLight on GitHub: https://github.com/rstuart85/sqlightning

Berkeley DB SQL http://www.oracle.com/technetwork/database/berkeleydb/overview/sql-160887.html