Elasticsearch

Create a Product Index you own this product

This project is part of the liveProject series Elasticsearch for a Search API
prerequisites
intermediate Python knowledge (work with modules, read data from files, and parse JSON from a file) • basic Elasticsearch • basic Kibana
skills learned
import JSON objects from a file using standard Python language constructs • use Python built-in file IO mechanisms • interact with your Elasticsearch cluster using the Elasticsearch library for Python • verify if the import was run successfully using Kibana
Jettro Coenradie
1 week · 4-6 hours per week · BEGINNER
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Look inside

E-commerce company Sneakers to the Max wants to strengthen its bottom line with an improved search engine that provides better and quicker results to customers. As a software engineer, your task is to create a structure for importing data into the search engine. You’ll write a Python script to import sneaker data into Elasticsearch. Next, you’ll create an index for the sneakers and use aliases to keep the data available while importing a fresh catalog. To verify your import and gauge the quality of your data, you’ll create a Kibana dashboard. Using Elasticsearch Bulk, you’ll improve the indexing performance of the sneaker data you need. When you’re finished, you’ll have created a complete structure for your imports that enables frequent, regular updates without downtime.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Jettro Coenradie

Jettro Coenradie has worked in the search domain for more than 15 years, currently as a search relevance engineer and software architect at Luminis. He’s designed and implemented search solutions for some of the biggest e-commerce companies in the Netherlands and is a valued member of the international Search Relevance Tech community. He served as the technical editor for Manning’s Elasticsearch in Action, 1st edition, and has developed his own Elasticsearch curriculum. He’s shared his expertise in numerous blog posts and conference presentations, including at Devcon and JFall.

prerequisites

This liveProject is for intermediate-level Python developers who are familiar with the basics of manipulations with strings, lists, and dictionaries. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Intermediate Python knowledge
    • Intermediate Docker knowledge Basic Elasticsearch knowledge Basic Kibana knowledge

you will learn

In this liveProject, you’ll learn to create a complete structure for your imports that enables frequent, regular updates without downtime.

  • Import JSON objects from a file using standard Python language constructs
  • Use Python built-in file IO mechanisms
  • Interact with your Elasticsearch cluster using the Elasticsearch library for Python
  • Verify if the import was run successfully using Kibana

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