Full-text search is a technique used in information retrieval and database systems to search and retrieve documents or records that contain a specific set of words or phrases . It allows us to search for documents or text data based on the actual content of the documents,
When we have a lot of information that we need to search through quickly, we can use tools like Elasticsearch, Solr, or Lucene. These tools make it easier to find specific things in databases.
-
Elasticsearch:
- It helps us search through lots of data really quickly.
- Elasticsearch is also known for its real-time search capabilities and horizontal scalability
- It is built on Lucene, but it's more than just a search engine
- It is an good choice for applications that require quick and distributed search functionalities.
-
Solr:
- It is similar to Elasticsearch and like a ready-to-use search platform built on top of Lucene.
- Solr helps us search through data quickly and efficiently and highly focused for its fault tolerance and near-real-time indexing .
- It's good for finding specific things in a lot of information.
-
Lucene :
- It is Java-based, open-source search library .
- It is like the building block for Elasticsearch and Solr.
- Lucene is a software library that helps other programs quickly find specific words or phrases within a large amount of text. It's not something we use directly, but it's what makes search engines and other search tools work so well.
To determine which one to use, we think about what our project needs, how much data we have, and how quickly we need to find things. So basically it depends on our project and database requriement.