Explanation:
The default communication port for Elasticsearch is 9200 for HTTP and 9300 for TCP transport. These ports are used for communication between Elasticsearch nodes, as well as between Elasticsearch and other applications that use the Elasticsearch API. However, it's worth noting that these ports can be configured during installation or in the Elasticsearch configuration files. If you're running Elasticsearch on a server that is protected by a firewall, you may need to open these ports to allow incoming connections to Elasticsearch.
Explanation:
In Elasticsearch, a cluster is a collection of one or more nodes, which work together to provide distributed search and analytics capabilities. Nodes in a cluster communicate with each other to share data, coordinate operations, and distribute queries across the cluster.
Explanation:
Those are some of the advantages of Elasticsearch.
Explanation:
Elasticsearch is mainly written in Java, a popular object-oriented programming language that runs on the Java Virtual Machine (JVM). Java is a cross-platform language that provides features such as garbage collection, memory management, and platform independence, which are essential for building scalable and reliable applications like Elasticsearch.
Explanation:
Elasticsearch was first released on February 8, 2010, by Elasticsearch BV, a Dutch company co-founded by Shay Banon. The initial release of Elasticsearch was version 0.4.2, and it was based on Apache Lucene, an open-source search engine library. Since then, Elasticsearch has undergone many major releases and has become one of the most popular and widely used search and analytics engines in the world. Elasticsearch is now maintained by Elastic N.V., a company that was formed when Elasticsearch BV merged with another company called ElasticSearch.
Explanation:
Starting from Elasticsearch 7.x, the default maximum number of shards per node is 1000. This is a conservative limit that is meant to ensure that Elasticsearch clusters are stable and performant. The limit is designed to prevent clusters from becoming overloaded with too many shards, which can lead to performance degradation and other issues. However, this limit can be changed by modifying the Elasticsearch configuration settings. If you need to increase the maximum number of shards per node, it's important to ensure that your cluster has enough resources to handle the additional workload, including CPU, memory, and disk space.
