Introduction If you’re planning to use Python to communicate with Elasticsearch, you’ll find that it’s easy to create a search query and get your results returned. However, it’s important to remember that you’ll have to loop through your set of results in order to access each individual document and its fields. Fortunately, accomplishing that task … Continued
Introduction When you execute an API request to make changes to a document or index on an Elasticsearch cluster you may sometimes receive a [FORBIDDEN/12/index read-only / allow delete (api)] error that will block the request. The forbidden 12 read only error Elasticsearch and the read delete only API error Elasticsearchx000D typically happens when Elasticsearch … Continued
Introduction If you want to keep your Elasticsearch deployment running at peak performance, it’s important to perform occasional maintenance on your indices. Fortunately, Elasticsearch provides some useful tools to handle these tasks. The Force Merge API can be used to optimize an Elasticsearch index, and the Refresh and Flush APIs can be used to clean … Continued
Introduction If you’re using Elasticsearch to store data, you may want to query your data from a Python script. Fortunately, the Python client for Elasticsearch makes it easy to communicate with Elasticsearch and query your indices. All it takes is a few lines of code to connect to Elasticsearch and query for the data you … Continued
Introduction If you’re looking for a fast, easy and scalable solution to improve your search functionality, Elasticsearch is a natural choice. When organizations are considering Elasticsearch for their applications, a common question is: “What is Elasticsearch best used for?”. While the various uses of Elasticsearch continue to grow and evolve, there are a few specific … Continued
Introduction Back in the earliest days of Elasticsearch, a _timestamp mapping field was available for an index. While this functionality has been deprecated since version 2.0, this certainly doesn’t mean that you can no longer index a document with a timestamp. An Elasticsearch timestamp is still possible, but the process needed to create one requires … Continued
Introduction If you’re running an Elasticsearch cluster, you’ll occasionally need to get information about the cluster. The Elasticsearch client for Python makes this task quick and simple– all it takes is a few lines of code in Python to connect to Elasticsearch and retrieve the information you need. In this step-by-step tutorial, we’ll explain how … Continued
Introduction If you’re using Elasticsearch to store data, you know that making cURL requests is a common way to communicate with your Elasticsearch cluster. Python’s requests library can be used to make cURL requests to an Elasticsearch cluster, making it easy to communicate with Elasticsearch from a Python script. In this step-by-step tutorial, we’ll explain … Continued
Introduction When you’re querying your Elasticsearch data, there are times when you’ll have a certain range in mind. You may want to return documents that fall within a certain data range, or you might want to find all the students within a certain age range. Regardless of your particular criteria, the Range API makes it … Continued
Introduction If you’re running an older version of Elasticsearch, you may be planning an upgrade in the near future. Upgrading your Elasticsearch cluster to the most current version is a smart move, allowing you to take advantage of new features, bug fixes and improved performance. It’s also possible to upgrade to even newer beta versions … Continued
