Elasticsearch Bulk

By Opster Team

Updated: May 24, 2023

| 1 min read

Overview

In Elasticsearch, when using the Bulk API it is possible to perform many write operations in a single API call, which increases the indexing speed. Using the Bulk API is more efficient than sending multiple separate requests. This can be done for the following four actions:

Examples

The bulk request below will index a document, delete another document, and update an existing document.

POST _bulk
{ "index" : { "_index" : "myindex", "_id" : "1" } }
{ "field1" : "value" }
{ "delete" : { "_index" : "myindex", "_id" : "2" } }
{ "update" : {"_id" : "1", "_index" : "myindex"} }
{ "doc" : {"field2" : "value5"} }

Notes

  • Bulk API is useful when you need to index data streams that can be queued up and indexed in batches of hundreds or thousands, such as logs.
  • There is no correct number of actions or limits to perform on a single bulk call, but you will need to figure out the optimum number by experimentation, given the cluster size, number of nodes, hardware specs etc.

Related log errors to this ES concept


Failed to process bulk
Unable to process bulk failure
Unable to process bulk response
Failed to bind to
Failed to resolve host
Failure caught
Timed out while waiting for a dynamic mapping update
Can t execute a bulk
Encountered bulk failures during reindex process
No body content for monitoring bulk request
Attempted to do a bulk index request for failed transform
Error occurred while reindexing bulk failures search failures

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