February 2016
Intermediate to advanced
556 pages
11h 53m
English
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Batch indexing to speed up your indexing process
In Chapter 1, Getting Started with Elasticsearch Cluster, we saw how to index a particular document into Elasticsearch. It required opening an HTTP connection, sending the document, and closing the connection. Of course, we were not responsible for most of that as we used the curl command, but in the background this is what happened. However, sending the documents one by one is not efficient. Because of that, it is now time to find out how to index a large number of documents in a more convenient and efficient way than doing so one by one.
Preparing data for bulk indexing
Elasticsearch allows us to merge many requests into one package. This package can be sent as a single request. What's more, we ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.