Elasticsearch good practices: introduction
As
promised in my first article, this is the start of my series of posts about the good
practices when using Elasticsearch. These tips will come from the Elasticsearch
documentation, other blogs and my own experience.
What is Elasticsearch?
Elasticsearch
( ES) is a real-time scalable open-source search engine built upon Lucene.
The near-real time property means that the indexed documents are
searchable seconds only after having been uploaded. Scalable, Elasticsearch
splits the information into shards and replicas that are automatically shared
between the nodes of the cluster. ES is becoming more and more popular since it is easy to use, intuitive and well-documented. You can interact with Elasticsearch with any language able to make HTTP requests since it is REST-based.
After having discovered Elasticsearch, I was especially amazed by the speed of the searches: using like Lucene inverted indexes, finding the relevant documents in the Big Data haystack is child play.
Now that you've had a small introduction to ES, stay tuned for the next parts of the series!
After having discovered Elasticsearch, I was especially amazed by the speed of the searches: using like Lucene inverted indexes, finding the relevant documents in the Big Data haystack is child play.
Now that you've had a small introduction to ES, stay tuned for the next parts of the series!
