Introduction Logstash is an integral part of the ELK (Elastic, Logstash, Kibana) stack. While Elastic is the place where data is stored and retrieved from, Logstash is the tool responsible for structuring data and sending it to Elastic. The power of this open-source data pipeline is its ability to parse and transform data from many … Continued
Introduction Elastic has enabled their archive and retrieve service with some handy tools. One of these is called Logstash, and it is a customizable configuration tool. It equips the user with the ability to specifically designate targets and actions within the system for the engine. These, in turn, are preset to be monitored and/or retrieved … Continued
Introduction An aggregation computation that comes up frequently when trying to figure out the distribution of your data is the percentile aggregation. Percentile aggregagtions are simple in Elasticsearch and this step-by-step example will show you an example of one that you can use as a basis for your own aggregation. In this step-by-step example we … Continued
Introduction An aggregation computation that comes up frequently when trying to figure out the distribution of your data is the percentile aggregation. Percentile aggregagtions are simple in Elasticsearch and this step-by-step example will show you an example of one that you can use as a basis for your own aggregation. In this step-by-step example we … Continued
Introduction If you’re running a NodeJS application with Elasticsearch it won’t be long before you’ll need to compute the sum of field in your dataset. Computing the sum of a field is a common practice when using Elasticsearch. You may need to sum up the sales made in a year or calculate the quantity of … Continued
Introduction If you’re running a NodeJS application with Elasticsearch it won’t be long before you’ll need to compute the sum of field in your dataset. Computing the sum of a field is a common practice when using Elasticsearch. You may need to sum up the sales made in a year or calculate the quantity of … 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 Most Elasticsearch users have come across the situation where they need to delete a number of indices at once. You might have created several indices to test out features, but you don’t them anymore and would like to clean up your data. You might have changed your overall data structure and find that you’re … Continued
Introduction When you’re working with data in Elasticsearch, there will likely be situations when you need to delete an index. You might have created an index just to test out some feature, but you don’t need to keep it permanently. You might have changed your overall data structure and find that you’re no longer using … Continued
Introduction If you’re thinking about updating the mapping on an existing index or just analyzing your current index mappings, it would be useful to explicitly get the mapping of an index. Most Elasticsearch users are familiar with creating a mapping but not necessarily how to retrieve the mapping. What follows is an easy to follow … Continued
