Send a search request.
Get all documents from a search request and store it as outputs.
type: "io.kestra.plugin.elasticsearch.search"id: elasticsearch_search
namespace: company.team
tasks:
- id: search
type: io.kestra.plugin.elasticsearch.Search
connection:
hosts:
- "http://localhost:9200"
indexes:
- "my_index"
request:
query:
term:
name:
value: 'john'
The connection properties.
The ElasticSearch value.
Can be a JSON string. In this case, the contentType will be used or a raw Map.
The content type of value.
Not used anymore.
The way you want to store the data.
FETCH_ONE output the first row, FETCH output all the rows, STORE store all rows in a file, NONE do nothing.
The ElasticSearch indices.
Default to all indices.
Controls the shard routing of the request.
Using this value to hash the shard and not the id.
Map containing the first row of fetched data.
Only populated if using fetchType=FETCH_ONE.
List containing the fetched data.
Only populated if using fetchType=FETCH.
The size of the rows fetched.
The total of the rows fetched without pagination.
The URI of the stored data.
Only populated if using fetchType=STORE.
List of HTTP ElasticSearch servers.
Must be an URI like https://elasticsearch.com: 9200 with scheme and port.
Basic auth configuration.
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.
Basic auth password.
Basic auth username.