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This article mainly talks about "what is the difference between Elasticsearch and Solr". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn "what is the difference between Elasticsearch and Solr"?

Https://blog.csdn.net/u013703963/article/details/56489172

When indexing in real time, Solr will produce io blocking and poor query performance.

Elasticsearch has obvious advantages.

As the amount of data increases, the search efficiency of Solr will become lower.

There was no significant change in Elasticsearch.

The main reason for choosing solr is:

1. In our project, dubbox will use zookeeper as the registry.

It just happens that zookeeper can be used to coordinate Solr clusters.

two。 If the query is not inserted in real time, the solr search engine can temporarily meet the search speed requirements.

3. The upgrade in the later stage of the project will develop towards hadoop.

When the amount of data is large, hadoop is used to process the data, and solr can be easily combined with hadoop.

Because Hadoop handles a lot of data, Solr helps us find the information we need from such a large source

Not limited to search, Solr can also be used for storage purposes

4. And finally, solr has a mature community.

If we encounter problems in development, we can ask the community for help so that we can solve the problems more quickly.

At this point, I believe you have a deeper understanding of "what is the difference between Elasticsearch and Solr". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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