By default, Elasticsearch creates five primary shards and a copy of each primary shard when you create an index. These copies are called replicas. So, the replica shard is simply a copy of a primary shard. Replica shards are used to improve the search performance and failover. If a node crashes in a way, Elasticsearch uses one of the available replica shards of the node to avoid any data loss. For this reason, a replica of a primary shard will not be allocated in the same node with the primary shard. Hence, choosing the right amount of shards and replicas is very important. Unlike primary shards, replicas can be added and removed at any time. The number of primary shards must be specified before creating an index.
- Tech Categories
- Best Sellers
- New Releases
- Books
- Videos
- Audiobooks
Tech Categories Popular Audiobooks
- Articles
- Newsletters
- Free Learning
You're reading from Elasticsearch Indexing
Hüseyin Akdoğan began his software adventure with the GwBasic programming language. He started learning the Visual Basic language after QuickBasic and developed many applications until 2000, after which he stepped into the world of Web with PHP. After this, he came across Java! In addition to counseling and training activities since 2005, he developed enterprise applications with JavaEE technologies. His areas of expertise are JavaServer Faces, Spring Frameworks, and big data technologies such as NoSQL and Elasticsearch. Along with these, he is also trying to specialize in other big data technologies. Hüseyin also writes articles on Java and big data technologies and works as a technical reviewer of big data books. He was a reviewer of one of the bestselling books, Mastering Elasticsearch – Second Edition.
Read more about Huseyin Akdogan
Unlock this book and the full library FREE for 7 days
Author (1)
Hüseyin Akdoğan began his software adventure with the GwBasic programming language. He started learning the Visual Basic language after QuickBasic and developed many applications until 2000, after which he stepped into the world of Web with PHP. After this, he came across Java! In addition to counseling and training activities since 2005, he developed enterprise applications with JavaEE technologies. His areas of expertise are JavaServer Faces, Spring Frameworks, and big data technologies such as NoSQL and Elasticsearch. Along with these, he is also trying to specialize in other big data technologies. Hüseyin also writes articles on Java and big data technologies and works as a technical reviewer of big data books. He was a reviewer of one of the bestselling books, Mastering Elasticsearch – Second Edition.
Read more about Huseyin Akdogan