Source code for airflow.providers.apache.druid.operators.druid
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from __future__ import annotations
from typing import TYPE_CHECKING, Any, Sequence
from airflow.models import BaseOperator
from airflow.providers.apache.druid.hooks.druid import DruidHook, IngestionType
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class DruidOperator(BaseOperator):
"""
Allows to submit a task directly to druid.
:param json_index_file: The filepath to the druid index specification
:param druid_ingest_conn_id: The connection id of the Druid overlord which
accepts index jobs
:param timeout: The interval (in seconds) between polling the Druid job for the status
of the ingestion job. Must be greater than or equal to 1
:param max_ingestion_time: The maximum ingestion time before assuming the job failed
:param ingestion_type: The ingestion type of the job. Could be IngestionType.Batch or IngestionType.MSQ
:param verify_ssl: Whether to use SSL encryption to submit indexing job. If set to False then checks
connection information for path to a CA bundle to use. Defaults to True
"""
[docs] template_fields: Sequence[str] = ("json_index_file",)
[docs] template_ext: Sequence[str] = (".json",)
[docs] template_fields_renderers = {"json_index_file": "json"}
def __init__(
self,
*,
json_index_file: str,
druid_ingest_conn_id: str = "druid_ingest_default",
timeout: int = 1,
max_ingestion_time: int | None = None,
ingestion_type: IngestionType = IngestionType.BATCH,
verify_ssl: bool = True,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.json_index_file = json_index_file
self.conn_id = druid_ingest_conn_id
self.timeout = timeout
self.max_ingestion_time = max_ingestion_time
self.ingestion_type = ingestion_type
self.verify_ssl = verify_ssl
[docs] def execute(self, context: Context) -> None:
hook = DruidHook(
druid_ingest_conn_id=self.conn_id,
timeout=self.timeout,
max_ingestion_time=self.max_ingestion_time,
verify_ssl=self.verify_ssl,
)
self.log.info("Submitting %s", self.json_index_file)
hook.submit_indexing_job(self.json_index_file, self.ingestion_type)