Basic Structure of a Bulk Request
A bulk request consists of action/metadata lines followed by source data lines. Here’s the general format:
{ action_and_metadata }
{ data }
{ action_and_metadata }
{ data }
...
Example of a Bulk Request
{ "index": { "_index": "myindex", "_id": "1" } }
{ "field1": "value1", "field2": "value2" }
{ "index": { "_index": "myindex", "_id": "2" } }
{ "field1": "value3", "field2": "value4" }
In this example, two documents are being indexed into the myindex index with IDs 1 and 2.
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.
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