According to the documentation the data is stored in a folder called “data” in the elastic search root directory. If you run the Windows MSI installer (at least for 5.5.x), the default location for data files is: The config and logs directories are siblings of data.
Underneath all the indices and types and documents, Elasticsearch has to store the data somewhere. This functionality is stored into shards, which are either the Primary or Replica Each index is configured for a certain number of primary and replica shards.
The next thing we wondered was; who writes the files in the Elasticsearch data directory?
Since Elasticsearch uses Lucene under the hood to handle the indexing and querying on the shard level, the files in the data directory are written by both Elasticsearch and Lucene.
On OS X (El Capitan) installed through brew it is found in /usr/local/var/elasticsearch Show activity on this post. And you see where data are.
This of course begs the query “What is the shard data directory in Elasticsearch?”
The shard data directory contains a state file for the shard that includes versioning as well as information about whether the shard is considered a primary shard or a replica. In earlier Elasticsearch versions, separate {shard_id}/index/_checksums- files (and .cks -files) were also found in the shard data directory.
What is an elasticsearch index?
An index in Elasticsearch is actually what’s called an inverted index, which is the mechanism by which all search engines work. It is a data structure that stores a mapping from content, such as words or numbers, to its locations in a document or a set of documents.
Another inquiry we ran across in our research was “How does Elasticsearch indexing work?”.
During the indexing process, Elasticsearch stores documents and builds an inverted index to make the document data searchable in near real-time. Indexing is initiated with the index API, through which you can add or update a JSON document in a specific index.
However, the definition of an Index also includes that bit about shards and replicas. Underneath all the indices and types and documents, Elasticsearch has to store the data somewhere. This functionality is stored into shards, which are either the Primary or Replica Each index is configured for a certain number of primary and replica shards.
You may be wondering “What is a type in Elasticsearch?”
Our answer was, an elastic Search cluster can contain multiple Indices (databases), which in turn contain multiple Types (tables). These types hold multiple Documents (rows), and each document has Properties (columns). So in your car manufacturing scenario, you may have a Subaru, and factory index. Within this index, you have three different types: .
What is a subarufactory Index in Elasticsearch?
An Elasticsearch cluster can contain multiple Indices (databases), which in turn contain multiple Types (tables). These types hold multiple Documents (rows), and each document has Properties(columns). So in your car manufacturing scenario, you may have a Subaru, and factory index.
This of course begs the question “What is an inverted index in Elasticsearch?”
One source claimed An inverted index lists every unique word that appears in any document and identifies all of the documents each word occurs in. During the indexing process, Elasticsearch stores documents and builds an inverted index to make the document data searchable in near real-time.
Should I use a file backup for Elasticsearch?
You shouldn’t use file backups for Elasticsearch, but rather the snapshot and restore APIs. This can be done by way of other tools, like Elasticsearch Curator. The primary reason to not use a file-type backup approach is that the data would very likely be corrupted.
How long does it take Elasticsearch to index documents?
When a document is stored, it is indexed and fully searchable in near real-time –within 1 second. Elasticsearch uses a data structure called an inverted index that supports very fast full-text searches. An inverted index lists every unique word that appears in any document and identifies all of the documents each word occurs in.