Bulk

Bulk load documents in ElasticSearch using bulk elastic files.

Read more about Elastic bulk files in their official documentation.

yaml
type: "io.kestra.plugin.elasticsearch.Bulk"

yaml
id: elasticsearch_bulk_load
namespace: company.team

inputs:
  - id: file
    type: FILE

tasks:
  - id: bulk_load
    type: io.kestra.plugin.elasticsearch.Bulk
    connection:
      hosts:
       - "http://localhost:9200"
    from: "{{ inputs.file }}"

The connection properties.

The source file.

Pebble expression referencing an Internal Storage URI e.g. {{ outputs.mytask.uri }}.

Default 1000

The chunk size for every bulk request.

Controls the shard routing of the request.

Using this value to hash the shard and not the id.

The size of the rows fetched.

SubType string

Min items 1

List of HTTP ElasticSearch servers.

Must be an URI like https://elasticsearch.com: 9200 with scheme and port.

Basic auth configuration.

SubType string

List of HTTP headers to be send on every request.

Must be a string with key value separated with : , ex: Authorization: Token XYZ.

Sets the path's prefix for every request used by the HTTP client.

For example, if this is set to /my/path, then any client request will become /my/path/ + endpoint. In essence, every request's endpoint is prefixed by this pathPrefix. The path prefix is useful for when ElasticSearch is behind a proxy that provides a base path or a proxy that requires all paths to start with '/'; it is not intended for other purposes and it should not be supplied in other scenarios.

Whether the REST client should return any response containing at least one warning header as a failure.

Trust all SSL CA certificates.

Use this if the server is using a self signed SSL certificate.

Basic auth password.

Basic auth username.

​Bulk

Bulk