Bulk Indexing Using the Elasticsearch API
Step 1: Setting Up Elasticsearch
Ensure you have Elasticsearch installed and running. You can download it from the Elastic website and start it using the command:
bin/elasticsearch
Step 2: Preparing Bulk Data
Prepare your bulk data in the NDJSON format. Save the following data to a file named bulk_data.json:
{ "index": { "_index": "myindex", "_id": "1" } }
{ "name": "John Doe", "age": 30, "city": "New York" }
{ "index": { "_index": "myindex", "_id": "2" } }
{ "name": "Jane Smith", "age": 25, "city": "San Francisco" }
{ "index": { "_index": "myindex", "_id": "3" } }
{ "name": "Sam Brown", "age": 35, "city": "Chicago" }
Step 3: Using cURL to Perform Bulk Indexing
You can use cURL to send the bulk request to Elasticsearch. Run the following command in your terminal:
curl -H "Content-Type: application/x-ndjson" -XPOST "http://localhost:9200/_bulk" --data-binary "@bulk_data.json"
Output:
You should see a response indicating the success or failure of each operation:
{
"took": 30,
"errors": false,
"items": [
{
"index": {
"_index": "myindex",
"_id": "1",
"result": "created",
"status": 201
}
},
{
"index": {
"_index": "myindex",
"_id": "2",
"result": "created",
"status": 201
}
},
{
"index": {
"_index": "myindex",
"_id": "3",
"result": "created",
"status": 201
}
}
]
}
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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