Introduction If you’re working with data in Elasticsearch, you’ll probably need to determine the maximum value in a dataset at some point. Metrics like min, max and average are often used when compiling statistics about prices, sales, and inventory. No matter what your intended purpose may be, finding the max of a field in Elasticsearch … Continued

Introduction No matter what type of data you’re working with in Elasticsearch, you’ll probably need to determine the minimum value of a dataset at some point. Metrics like min and max are often used when compiling statistics about prices, sales, and inventory. Regardless of your intended purpose, finding the min of a field in Elasticsearch … Continued

Introduction One of many ways you can analyze and visualize your data in Elasticsearch is by creating a histogram. If you’re not familiar with the term, a histogram is a type of data visualization that looks a lot like a bar chart, with columns plotted across a graph. Each column represents a value or a … Continued

Introduction No matter what type of data you’re working with in Elasticsearch, you’ll probably encounter a need to compute an average at some point. You may need to compute the average user rating of a product, or you might be calculating average grades. Averages are also used when you’re compiling statistics about price and sales … Continued

Introduction No matter what type of data you’re working with in Elasticsearch, there will probably be times when you want to find all the unique values for a given field. For example, let’s say you’re maintaining an index of all the artists your users listen to, along with the genre for each of these artists. … Continued

Introduction If you want to provide the best possible search experience for your users, autocomplete functionality is a must-have feature. This functionality, which predicts the rest of a search term or phrase as the user types it, can be implemented with many databases. In this article, you’ll learn how to implement autocomplete with edge n-grams … Continued

Introduction If you want to provide the best possible search experience for your users, you need to make sure they’re getting the results they want. The problem is, sometimes users make mistakes. If you’re only querying for exact matches, simple typos and spelling errors can lead to empty results– not an ideal user experience. This … Continued

Introduction In the real world, we often query data for more than one criteria. For instance, say within a user index you want to query males—that’ s one criteria. In addition, you want to query those males older than age 35—that’s the second criteria. What’s more, you’ll likely want to continue to further narrow your … Continued

Introduction In Elasticsearch, you can define how your string data is processed upon indexing by setting its type to either keyword or text. What’s the difference between these two types? When you store data in a field that has a keyword type, it’s indexed as is; however, data stored in a field with a text … Continued

Introduction When you search for data in Elasticsearch, you often want your results to come back in a certain order. Perhaps you want to see students’ grades sorted from the highest to the lowest, or you’d like to have your inventory listed from the least number of units to the highest for re-ordering purposes. Fortunately, … Continued