Question
Answer and Explanation
In Elasticsearch, there isn't a direct concept of a "file name" in the way you might think of it in a file system. Elasticsearch stores data in the form of documents within indices. Each document is essentially a JSON object, and these documents are stored and indexed for fast searching.
Instead of file names, Elasticsearch uses the following key concepts:
1. Index: An index is a collection of documents that have similar characteristics. It's analogous to a database in relational database systems. An index is identified by a name, for example, 'products' or 'logs'.
2. Document: A document is a basic unit of information that can be indexed. It's represented as a JSON object. Each document has a unique identifier within its index. Documents are structured based on a schema that is defined during the indexing process.
3. Document ID: Each document within an index has a unique ID. This ID is used to retrieve, update, or delete the document. If you don't explicitly provide an ID, Elasticsearch will automatically generate one for you.
4. Fields: Inside each document, you have fields, which are key-value pairs. The keys are the names of fields (like 'title', 'description', 'price', etc.), and the values are the actual data associated with those fields. The data types can be string, number, date, boolean etc.
When you index data into Elasticsearch, the data is transformed and stored in an efficient format that allows for fast searching and retrieval. Files that contain the data on the disk are internally managed by Elasticsearch itself and you usually don't interact with them directly. This can be the inverted indexes, stored fields data etc.
In short, instead of "file names", you interact with:
- Index Name: Identifies the collection where your data is stored.
- Document IDs: Used to locate and manage individual documents.
- Field Names: Access the actual contents of the document.
Example of indexing a document:
PUT /my_index/_doc/1
{
"title": "Example Product",
"description": "This is an example product description.",
"price": 29.99
}
In this example, my_index
is the index name, 1
is the document ID, and title
, description
, and price
are the field names.
Therefore, when working with Elasticsearch, you should focus on understanding and managing your indexes, documents, document IDs, and fields rather than file names.