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[1712.01208] The Case for Learned Index Structures
Our initial results show, that by using neural nets we are able to outperform cache-optimized B-Trees by up to 70% in speed while saving an order-of-magnitude in memory over several real-world data sets. More importantly though, we believe that the idea of replacing core components of a data management system through learned models has far reaching implications for future systems designs and that this work just provides a glimpse of what might be possible.
indexing  ml  cs  database  filesystem  storage  datastructures 
14 hours ago by euler
[1712.01208v1] The Case for Learned Index Structures
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a BitMap-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be replaced with other types of models, including deep-learning models, which we term learn...
machine_learning  database  google  paper  readlate 
14 hours ago by darren_n
Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
sequel  mysql  database  browser  software  macos 
14 hours ago by vicchow

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