Welcome back to our deep dive into Elasticsearch! So far, we’ve mastered the art of finding the right documents. We’ve become experts in queries, filters, and the mighty bool query. But what happens after you’ve retrieved your results? How do you make sense of the bigger picture? This is where the true analytical power of Elasticsearch shines: Aggregations. If queries…
Introduction If you’ve been following this series, you already know: Now it’s time for the real workhorse: the bool query.Why? Because no real-world search problem is solved by just one condition. Users expect relevance and restrictions: The bool query is how you glue all of these conditions together. By the way, I should also mention…
In Part 1 of this series I walked through the foundations of Elasticsearch queries: the mental model, why mapping is your best friend, and how to choose between filters and matches. Now it’s time to roll up our sleeves and look at some of the practical query types that you’ll actually use when building real-world…
When I first got to know Elasticsearch, I told myself: “Well, this is just another database… right?”But I was wrong. Elasticsearch is actually different. It kind of feels like a mix between a search engine and a database.To be honest, I’m still not very comfortable with it myself 🙂But in this post—which is the first…
