[O]ne Billion Tweets

Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing by Narayanan Sundaram, et al.

Abstract:

Finding nearest neighbors has become an important operation on databases, with applications to text search, multimedia indexing, and many other areas. One popular algorithm for similarity search, especially for high dimensional data (where spatial indexes like kd-trees do not perform well) is Locality Sensitive Hashing (LSH), an approximation algorithm for finding similar objects.

In this paper, we describe a new variant of LSH, called Parallel LSH (PLSH) designed to be extremely efficient, capable of scaling out on multiple nodes and multiple cores, and which supports high-throughput streaming of new data. Our approach employs several novel ideas, including: cache-conscious hash table layout, using a 2-level merge algorithm for hash table construction; an efficient algorithm for duplicate elimination during hash-table querying; an insert-optimized hash table structure and efficient data expiration algorithm for streaming data; and a performance model that accurately estimates performance of the algorithm and can be used to optimize parameter settings. We show that on a workload where we perform similarity search on a dataset of
> 1 Billion tweets, with hundreds of millions of new tweets per day, we can achieve query times of 1–2.5 ms. We show that this is an order of magnitude faster than existing indexing schemes, such as inverted indexes. To the best of our knowledge, this is the fastest implementation of LSH, with table construction times up to 3:7x faster and query times that are 8:3x faster than a basic implementation.

In the introduction, the authors report “…typical queries taking 1-2.5ms. In comparison to other text search schemes, such as inverted indexes, our approach is an order of magnitude faster.”

I looked but did not find any open-source code for PLSH.

Caution: If you search for other research, the string “PLSH” is unlikely to be helpful. One my first search I found:

  • PL/sh is a procedural language handler for PostgreSQL
  • Partia Liberale Shqiptare (Albanian Liberal Party, Kosovo)
  • Pet Loss Support Hotline
  • Promised Land Spanish Horses
  • Polish courses (Abbreviation at Brown University)
  • Point Loma High School

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