This is a truly excellent pair of articles, brilliantly written.
Explains the problem, show the solution iterating step by step so we start to build an intuition about it, and goes as far as most people actually need for their applications.
Very well written article. I'd like some performance comparison aswell, because ElasticSearch can already do less than 20ms on a 100k documents, with each having more than 10 queries fields.
Of course, for simple sites, this is great!
The second part has some of this, but not as in depth as i'd like.
Eh, I'd assume the comparison isn't flattering. I think the point of this article is to argue you don't need ElasticSearch to implement a competent Full Text Search for most applications. Splitting hairs over a few milliseconds would just distract from that point, when most applications should be prioritizing simplicity and maintainability over such tiny gains in a reasonable dataset.
Might be interesting to try to analyze at exactly what point elasticsearch becomes significantly useful, however. Maybe at the point where it saves a full tenth of a second? Or where it's returning in half the time? Could be an interesting follow up article.
Cery well written article. I'd like some performance comparison aswell, because ElasticSearch can already do less than 20ms on a 100k documents, with each having more than 10 queries fields.
This is a truly excellent pair of articles, brilliantly written.
Explains the problem, show the solution iterating step by step so we start to build an intuition about it, and goes as far as most people actually need for their applications.
Very well written article. I'd like some performance comparison aswell, because ElasticSearch can already do less than 20ms on a 100k documents, with each having more than 10 queries fields.
Of course, for simple sites, this is great!
The second part has some of this, but not as in depth as i'd like.
Eh, I'd assume the comparison isn't flattering. I think the point of this article is to argue you don't need ElasticSearch to implement a competent Full Text Search for most applications. Splitting hairs over a few milliseconds would just distract from that point, when most applications should be prioritizing simplicity and maintainability over such tiny gains in a reasonable dataset.
Might be interesting to try to analyze at exactly what point elasticsearch becomes significantly useful, however. Maybe at the point where it saves a full tenth of a second? Or where it's returning in half the time? Could be an interesting follow up article.
Cery well written article. I'd like some performance comparison aswell, because ElasticSearch can already do less than 20ms on a 100k documents, with each having more than 10 queries fields.
Of course, for simple sites, this is great!