Understanding the querying process
After reading the previous section, we now know how querying works in Elasticsearch. You know that Elasticsearch, in most cases, needs to scatter the query across multiple nodes, get the results, merge them, fetch the relevant documents from one or more shards, and return the final results to the client requesting the documents. What we didn't talk about are two additional things that define how queries behave: search type and query execution preference. We will now concentrate on these functionalities of Elasticsearch.
Query logic
Elasticsearch is a distributed search engine and so all functionality provided must be distributed in its nature. It is exactly the same with querying. Because we would like to discuss ...
Get Elasticsearch Server - Third Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.