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from __future__ import annotations
from typing import TYPE_CHECKING
from airflow.compat.functools import cached_property
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.redshift_data import RedshiftDataHook
if TYPE_CHECKING:
from mypy_boto3_redshift_data.type_defs import GetStatementResultResponseTypeDef
from airflow.utils.context import Context
[docs]class RedshiftDataOperator(BaseOperator):
"""
Executes SQL Statements against an Amazon Redshift cluster using Redshift Data
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:RedshiftDataOperator`
:param database: the name of the database
:param sql: the SQL statement or list of SQL statement to run
:param cluster_identifier: unique identifier of a cluster
:param db_user: the database username
:param parameters: the parameters for the SQL statement
:param secret_arn: the name or ARN of the secret that enables db access
:param statement_name: the name of the SQL statement
:param with_event: indicates whether to send an event to EventBridge
:param wait_for_completion: indicates whether to wait for a result, if True wait, if False don't wait
:param poll_interval: how often in seconds to check the query status
:param return_sql_result: if True will return the result of an SQL statement,
if False (default) will return statement ID
:param aws_conn_id: aws connection to use
:param region: aws region to use
"""
[docs] template_fields = (
"cluster_identifier",
"database",
"sql",
"db_user",
"parameters",
"statement_name",
"aws_conn_id",
"region",
)
[docs] template_ext = (".sql",)
[docs] template_fields_renderers = {"sql": "sql"}
[docs] statement_id: str | None
def __init__(
self,
database: str,
sql: str | list,
cluster_identifier: str | None = None,
db_user: str | None = None,
parameters: list | None = None,
secret_arn: str | None = None,
statement_name: str | None = None,
with_event: bool = False,
wait_for_completion: bool = True,
poll_interval: int = 10,
return_sql_result: bool = False,
aws_conn_id: str = "aws_default",
region: str | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.database = database
self.sql = sql
self.cluster_identifier = cluster_identifier
self.db_user = db_user
self.parameters = parameters
self.secret_arn = secret_arn
self.statement_name = statement_name
self.with_event = with_event
self.wait_for_completion = wait_for_completion
if poll_interval > 0:
self.poll_interval = poll_interval
else:
self.log.warning(
"Invalid poll_interval:",
poll_interval,
)
self.return_sql_result = return_sql_result
self.aws_conn_id = aws_conn_id
self.region = region
self.statement_id: str | None = None
@cached_property
[docs] def hook(self) -> RedshiftDataHook:
"""Create and return an RedshiftDataHook."""
return RedshiftDataHook(aws_conn_id=self.aws_conn_id, region_name=self.region)
[docs] def execute(self, context: Context) -> GetStatementResultResponseTypeDef | str:
"""Execute a statement against Amazon Redshift"""
self.log.info("Executing statement: %s", self.sql)
self.statement_id = self.hook.execute_query(
database=self.database,
sql=self.sql,
cluster_identifier=self.cluster_identifier,
db_user=self.db_user,
parameters=self.parameters,
secret_arn=self.secret_arn,
statement_name=self.statement_name,
with_event=self.with_event,
wait_for_completion=self.wait_for_completion,
poll_interval=self.poll_interval,
)
if self.return_sql_result:
result = self.hook.conn.get_statement_result(Id=self.statement_id)
self.log.debug("Statement result: %s", result)
return result
else:
return self.statement_id
[docs] def on_kill(self) -> None:
"""Cancel the submitted redshift query"""
if self.statement_id:
self.log.info("Received a kill signal.")
self.log.info("Stopping Query with statementId - %s", self.statement_id)
try:
self.hook.conn.cancel_statement(Id=self.statement_id)
except Exception as ex:
self.log.error("Unable to cancel query. Exiting. %s", ex)
