Manticore 2.7.5 vs Sphinx 3.1.1

Hi

Here we benchmarked Sphinx 3.0.2 vs Manticore 2.6.2. This was 8 months ago and both Manticore and Sphinx changed since then. As it’s said in Sphinx 3.0.3 announcement Sphinx 3.0.3 is up to 2x faster compared to 3.0.2, so it’s interesting to do another benchmark. This time let’s test on a real dataset – Hacker News comments.

The benchmark was conducted with the following conditions:

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Profiling queries

In this article we discuss the tools available for profiling queries in Manticore Search.

SHOW META

By default the SHOW META command provides statistics about the keywords used in the match.  For each keyword we get the number of documents in which the keywords was found and total number of hits. High values – for example docs are almost as high as the total documents in the index –  can indicate the keyword is a candidate for being a stopword.

SHOW META output can […]

Percolate queries: Manticore Search vs Luwak

In this article we test how percolate queries perform in Manticore Search and Luwak.

Introduction

Recently we tested the performance of Percolate Queries in Manticore Search and Elasticsearch. Today we are looking at Luwak, a stored query engine based on Lucene search library.

When we developed Percolate Queries […]

Research on Jemalloc

As said on http://jemalloc.net/:

jemalloc is a general purpose malloc(3) implementation that emphasizes fragmentation avoidance and scalable concurrency support.

Some Sphinx and Manticore Search users prefer jemalloc over malloc and say it allows to save some RAM. I’ve tested how jemalloc affects resource consumption and response time for 2 weeks on 3 Manticore clusters (se03/03-2, se04/04-2, se05/05-2) each of which:

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