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This article shows you how to use Elasticsearch 7.x, the content is concise and easy to understand, it will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Search is a necessary skill for software engineers. Elasticsearch is a powerful open source distributed search and analysis engine, which has few competitors in the same field-ES has always been ranked first in the field of search engine in the past three years in the evaluation of DB-Engines database.

In addition, Elasticsearch is also widely used in big data's near real-time analysis, including log analysis, index monitoring, information security and other fields. As the most popular open source search engine, Elasticsearch has been downloaded more than 350 million times worldwide, and companies such as BAT, JD.com, Didi, Toutiao, ele.me, 360Security, Xiaomi and other companies are using it. How to use Elasticsearh efficiently?

Elasticsearch can be used right out of the box. If you set up the development environment in a few minutes, you can achieve PB-level data processing on hundreds of servers. However, it is not so easy to understand and use it efficiently, such as:

1. Why can't I find my data? there are obviously some!

two。 How did these pieces of data appear at the top of the search results?

3. How many machines are needed in the production environment, and how to set the number of fragments in the index?

4. Which indicators should be paid attention to to ensure that the cluster runs healthily and efficiently?

5. For log applications, how to set up Hot & Warm Architecture to save costs, and how to manage and optimize index data based on time series in order to improve the overall performance of the cluster?

6. Why is my cluster brain cracked? How can I recover after the data is corrupted?

In fact, if you want to use Elasticsearch correctly and well, you should not only understand the principle of its distributed architecture, but also master some knowledge in the field of information retrieval. Here, share to you an Elasticsearch knowledge graph, in-depth understanding of each knowledge point, in order to solve the practical problems in the work.

The above content is how to use Elasticsearch 7.x. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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