In this article, you will learn how to do pagination in Elasticsearch. In the previous article, I introduced the size parameter, which I will also be using to paginate through search results. While the size parameter specifies how many documents should be returned in the results, the from parameter specifies which document index to start… read more

In this article I will show you how to change the number of documents returned in the result set. I will start by showing you how to do it with query string searches. It’s as simple as adding a size parameter as I will show you in the following query. GET /ecommerce/product/_search?q=name:pasta&size=2 Notice that I… read more

This article explains how to filter results. Remember that there are two query contexts; the query context and filter context. Queries that are in query context affect the relevance scores of documents depending on how well they match, while queries in a filter context do not affect relevance scores. Therefore, filter queries can be used… read more

This article explains how to boost terms and query clauses when searching in Elasticsearch. When searching for multiple terms, it is sometimes useful to be able to assign a higher or lower priority to certain terms. Elasticsearch provides a way of doing this by specifying a positive floating point number. Below is an example query.… read more

Now that we have taken a look at fuzzy searches, it’s time to take a quick look at proximity searches, which are somewhat related. We looked at phrase searches in a previous lecture, where the search query is enclosed within quotation marks and the terms must be in the correct order. A proximity search allows… read more

In the previous lectures, I showed you how to perform a variety of searches. For full text searches, the exact terms that I was searching for had to match somewhere in the document. But what if a user enters something that is not an exact match, but should still be considered a match? For example,… read more

In this article, I will show you how you can search across indexes and mapping types, rather than having to explicitly define which index and mapping type to search. Before showing you examples of how to do this, I will just add a new index and a new mapping type for demonstration purposes, so that… read more

Now that I have shown you how to use full text and term level queries with the query DSL, it’s time to take a look at compound queries. Remember that compound queries consist of leaf queries or other compound queries. To start off, I will perform a simple search that uses simple boolean logic. The… read more

Now that we’ve got full text queries covered, let’s take a look at term level queries. As I mentioned in the introduction to searching in Elasticsearch, term level queries are used for exact matching of values. This means that search queries are not analyzed before matching as is the case for full text queries. This… read more

Now that we have taken a look at how to search with query strings, I will now show you how to perform searches by defining queries within the request body in JSON. This approach is referred to as the Query DSL. The first query I am going to show you, is a query that matches… read more