August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Mapping APIs
In the last chapter, we learned about the document life cycle of Elasticsearch and executed single and multiple document APIs. We introduced a commission-free ETF from TD Ameritrade and used this information to practice document APIs. We also reindexed the documents from the multiple mapping types index for migration.
In this chapter, we are going to learn about mapping APIs. In Elasticsearch, mapping is a data model that describes the structure of a document. It allows you to specify fields, field types, relationships between documents, data conversion rules, and so on. Schema-less only means that documents can be indexed without specifying the schema in advance, because the schema is dynamically derived from the first document ...
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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.