ElasticSearch in Python #20 - Ingest processors
Welcome everyone! Today we're going to explore ingest processors - a feature that helps transform and enrich your data during ingestion. We'll be covering the most common processors that you can use in your pipelines.
In the previous video, we have seen that the process of ingestion has three main components:
First, we begin with the documents. These documents then flow through what we call an ingest pipeline, which consists of one or multiple sequential steps. Each step can apply various transformations to your data. Finally, the processed data arrives at your target index, ready for use.
Today, we will focus on the common processors that we can use in a pipeline. One of the most common transformations are removing unnecessary fields, converting text to lowercase, or stripping HTML tags from your content.
In this series, we focus on using the Python client to interact with Elasticsearch.
Here is the link to the GitHub repository:
https://github.com/ImadSaddik/Elastic...
Useful links:
https://www.elastic.co/guide/en/elast...
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⭐️ Contents ⭐️
(00:00) Intro + slides
(02:54) Code time
(07:21) The end
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