Introduction Getting the total number of documents in an Elasticsearch index is one of, if not the most common statistic used in Elasticsearch. You might use this kind of stat to figure out how many users there are for example. This is a very simple but very common task that we wanted to cover in … Continued

Introduction If you have a large dataset that you want to import into Elasticsearch, an easy way to accomplish the task is to use the curl command. This method of bulk indexing data makes use of Elasticsearch’s Bulk API, which allows users to index or delete many documents in a single API call. With this … Continued

Introduction This step-by-step tutorial explains how you can use slop and Phrase Search in Elasticsearch. The flexibility of the slop parameter allows you to view matches that are close—not exact–to your actual Phrase Searches. The more general search allows more leniency in users that might only know a couple keywords in what they are searching … 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 It’s true that you can quickly locate an exact phrase in an index in Elasticsearch. To accomplish the task, you’ll want to use Phrase Search. But if you’re just starting phrase search in Elasticsearch, you may be tempted to conduct a multiple word search with the match query. Here’s why match works for single-word … 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 student 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

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 Elasticsearch aggregations allow you to compute averages, sums, maximums, and minimums. They also let you determine all the unique values that appear for a field in a given dataset. This is called a cardinality aggregation. If this is the type of calculation you need to perform we’ll show you how to do it step-by-step … Continued

Introduction It’s often that queries used in Elasticsearch return an extremely large number of results. This may be ok for a computer but too many results can be hard for us to process mentally. In these cases it’s useful to limit the number of results your query results through pagination. We’ll show you how use … Continued

Introduction When you’re determining the average for values in a dataset, sometimes it doesn’t make sense to treat all the values equally. For example, if you’re calculating student grades, doing inventory cost accounting, or computing average bond yields, it’s helpful to assign a relative importance to each value in your dataset. That’s where a weighted … Continued