Bulk Operations
For large-scale data modifications, bulk operations are more efficient. The _bulk API allows you to perform multiple update, delete, and upsert operations in a single request.
Example: Bulk Upserts
Prepare a bulk request to upsert multiple documents:
{ "update": { "_id": "3", "_index": "myindex" } }
{ "doc": { "name": "Alice", "age": 28, "city": "Seattle" }, "doc_as_upsert": true }
{ "update": { "_id": "4", "_index": "myindex" } }
{ "doc": { "name": "Bob", "age": 32, "city": "Denver" }, "doc_as_upsert": true }
Save this data to a file named bulk_data.json and execute the bulk request:
curl -X POST "http://localhost:9200/_bulk" -H 'Content-Type: application/x-ndjson' --data-binary "@bulk_data.json"
Output:
The response will indicate the success or failure of each operation:
{
"took": 30,
"errors": false,
"items": [
{
"update": {
"_index": "myindex",
"_id": "3",
"result": "created",
"status": 201
}
},
{
"update": {
"_index": "myindex",
"_id": "4",
"result": "created",
"status": 201
}
}
]
}
Handling Document Updates, Deletes, and Upserts in ElasticsearchHandling Document Updates, Deletes, and Upserts in Elasticsearch: Best Practices
Elasticsearch is a robust search engine widely used for its scalability and powerful search capabilities. Beyond simple indexing and querying, it offers sophisticated operations for handling document updates, deletes, and upserts. This article will explore these operations in detail, providing easy-to-understand examples to help you get started.
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