Chapter 4. Managing Relational Content
Representing real-world data is very decisive in the sense that usually, straight data structures won't always suffice for your needs. Often, you would find yourself in a position where you would need to adopt a complex structure for your data with some kind of a relation within objects. Here, in this chapter, we will see how Elasticsearch provides provisions to manage such relational content. Here are the topics that we will cover in this chapter:
- Parent-child search
- Limitations on a query on nested fields
- Solution 1 – nested datatype
- Solution 2– parent-child datatype
- Schema design to store questions and answers
- Searching questions based on a criteria of answers
- Searching answers based on a criteria of questions
- Term lookup
Elasticsearch provides a number of ways with which you can manage relational content. Of those, the simplest way is to directly add inner objects within your structure. Let's see how simple inner objects...
