Sandip

In Elasticsearch, a field mapping defines the characteristics of a field in an index, such as its data type, indexing options, and analysis settings. Field mappings are used to control how the data is indexed and searched in Elasticsearch, and they can be customized to fit the specific needs of the data being indexed. When … Read more

In Elasticsearch, a dynamic mapping is a mapping that is automatically generated based on the fields present in the JSON documents being indexed. When a new document is indexed in Elasticsearch, it is analyzed to determine the fields present in the document and their data types. Elasticsearch then generates a dynamic mapping that defines the … Read more

In Elasticsearch, a field is a key-value pair within a document that contains a single piece of data. Fields can be of different data types, and they are used to store and index data in Elasticsearch. Here are some of the different types of fields in Elasticsearch: 1. Text: Text fields are used for full-text … Read more

In Elasticsearch, a document is the basic unit of data that can be indexed and searched. A document is a JSON object that contains a set of key-value pairs representing the document’s fields and their values. Each document in Elasticsearch is stored in an index, which is a collection of documents that have similar characteristics. … Read more

In Elasticsearch, shard failures can occur due to various reasons, such as node failures, disk failures, or network issues. Elasticsearch provides several mechanisms to handle shard failures and ensure that data remains available and searchable in case of failures. When a shard failure occurs, Elasticsearch takes the following steps to handle it: 1. Detection: Elasticsearch … Read more

In Elasticsearch, data is distributed across shards using a process called sharding. When an index is created, it is divided into a specified number of primary shards, and each primary shard is stored on a separate node in the Elasticsearch cluster. The sharding process is responsible for distributing the data across the primary shards in … Read more

The number of replica shards that an Elasticsearch index can have is determined at the time the index is created, and it can be changed later to increase or decrease the number of replicas. The default number of replica shards for an index is 1, but it can be increased to a larger number to … Read more

In Elasticsearch, a replica shard is a copy of a primary shard that is stored on a different node in the Elasticsearch cluster. Replica shards provide fault tolerance and high availability of data by ensuring that multiple copies of the data are available in case of node failures or other issues. When an index is … Read more

The number of primary shards that an Elasticsearch index can have is determined at the time the index is created, and it cannot be changed later without reindexing the data. The default number of primary shards for an index is 1, but it can be increased to a larger number to improve performance and scalability. … Read more

In Elasticsearch, a primary shard is a shard that is responsible for storing a subset of the data in an index. When an index is created, it is divided into a specified number of primary shards, and each primary shard is stored on a separate node in the Elasticsearch cluster. Primary shards are used for … Read more