FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -The overview of documents and indices indicates that when a document is stored in Elasticsearch, it is indexed and fully searchable in near real-time–within 1 second.

Detailed explanation-2: -By default, Elasticsearch has a feature that will automatically create indices. Simply pushing data into a non-existing index will cause that index to be created with mappings inferred from the data.

Detailed explanation-3: -Indexing latency is the time taken by the elastic node for indexing the document. It will be impacted by the memory in your jvm and overall load on the Disk. In case it has gone up, kindly check if load on your cluster. Increase in search load will impact the indexing too.

Detailed explanation-4: -In Elasticsearch, an index (plural: indices) contains a schema and can have one or more shards and replicas. An Elasticsearch index is divided into shards and each shard is an instance of a Lucene index. Indices are used to store the documents in dedicated data structures corresponding to the data type of fields.