Why Bulk Indexing?
- Performance: Sending multiple documents in a single request reduces the overhead of individual HTTP requests and responses.
- Throughput: Bulk indexing can handle a higher volume of data in less time, which is crucial for large-scale data ingestion.
- Resource Optimization: Minimizes the load on the network and Elasticsearch nodes, as fewer connections and requests are made.
Bulk Indexing for Efficient Data Ingestion in Elasticsearch
Elasticsearch is a highly scalable and distributed search engine, designed for handling large volumes of data. One of the key techniques for efficient data ingestion in Elasticsearch is bulk indexing.
Bulk indexing allows you to insert multiple documents into Elasticsearch in a single request, significantly improving performance compared to individual indexing requests.
In this article, we will explore the concept of bulk indexing, and its benefits, and provide detailed examples to help you implement it effectively.