Search Engine Service glossary

Available in Classic and VPC

There are a few terms you must know to use the Search Engine Service. The glossary and the description thereof are as follows.

Elasticsearch

An open source RESTful search and analysis engine based on Apache Lucene. It is capable of storing various forms of data (such as structured/unstructured data, location information, matrix, etc.) as well as searching by various methods.

Node

A point of redistribution or communication terminal point. Computers connected to a local network, which is a basic element of networks, and devices inside them are altogether referred to as a node.

Data node

A component of Elasticsearch Cluster provided by NAVER Cloud Platform's Search Engine Service, which are servers where the actual data are stored, and they only communicate through the coordinator node.

Master Node

A node that is responsible for managing the cluster, such as creating indexes on the master node cluster or assigning shards to the data node

Manager Node

A component of Elasticsearch Cluster provided by NAVER Cloud Platform's search engine service, which manages Elasticsearch clusters. It is also set as the coordinator node, acting as the data entry pathway.

Bucket

Data storage space. The top directory grouping related objects.

Index

Behavior of analyzing document content and making them into data formats easy to search, or the data itself

Shard

Units of data partitioned in a DB cluster

Secure Shell (SSH)

Protocol used when executing commands after remotely logging in to the server using encryption techniques

JavaScript Object Notation (JSON)

Lightweight text-based open standard format designed for the exchange of data that can be read by humans

Coordinate node

A node that receives requests such as indexing and searches from outside the coordinate node, delivers them to the data node, and receives and returns the request results

Kibana

Visualization plugin of open-source data for Elasticsearch

Primary Shard

Sections of blocks that have been broken and divided from a single data into multiple databases