Elasticsearch relative time range query in Python

Certainly! Elasticsearch is a powerful open-source search and analytics engine. When working with time-based data, it's common to perform queries within a specific time range. In this tutorial, we'll explore how to perform relative time range queries in Elasticsearch using Python.
Before you begin, make sure you have the following installed:
You can install the elasticsearch library using:
For the purpose of this tutorial, let's assume you have an index named "logs" with documents containing a timestamp field named "timestamp". Make sure your Elasticsearch index and documents are set up accordingly.
Now, let's write a Python script to perform a relative time range query using the Elasticsearch Python library.
Import Libraries:
Relative Time Range Query Function:
Main Function:
Run the Script:
Adjust the script according to your Elasticsearch setup and the structure of your documents. This tutorial provides a basic example, and you may need to customize it based on your specific use case.
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