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# to you under the Apache License, Version 2.0 (the
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from __future__ import annotations
from pprint import pformat
from time import sleep
from typing import TYPE_CHECKING, Any, Iterable
from airflow.providers.amazon.aws.hooks.base_aws import AwsGenericHook
from airflow.providers.amazon.aws.utils import trim_none_values
if TYPE_CHECKING:
from mypy_boto3_redshift_data import RedshiftDataAPIServiceClient # noqa
[docs]class RedshiftDataHook(AwsGenericHook["RedshiftDataAPIServiceClient"]):
"""
Interact with Amazon Redshift Data API.
Provide thin wrapper around
:external+boto3:py:class:`boto3.client("redshift-data") <RedshiftDataAPIService.Client>`.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
- :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
- `Amazon Redshift Data API \
<https://docs.aws.amazon.com/redshift-data/latest/APIReference/Welcome.html>`__
"""
def __init__(self, *args, **kwargs) -> None:
kwargs["client_type"] = "redshift-data"
super().__init__(*args, **kwargs)
[docs] def execute_query(
self,
database: str,
sql: str | list[str],
cluster_identifier: str | None = None,
db_user: str | None = None,
parameters: Iterable | 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,
) -> str:
"""
Execute a statement against Amazon Redshift.
: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
:returns statement_id: str, the UUID of the statement
"""
kwargs: dict[str, Any] = {
"ClusterIdentifier": cluster_identifier,
"Database": database,
"DbUser": db_user,
"Parameters": parameters,
"WithEvent": with_event,
"SecretArn": secret_arn,
"StatementName": statement_name,
}
if isinstance(sql, list):
kwargs["Sqls"] = sql
resp = self.conn.batch_execute_statement(**trim_none_values(kwargs))
else:
kwargs["Sql"] = sql
resp = self.conn.execute_statement(**trim_none_values(kwargs))
statement_id = resp["Id"]
if wait_for_completion:
self.wait_for_results(statement_id, poll_interval=poll_interval)
return statement_id
[docs] def wait_for_results(self, statement_id, poll_interval):
while True:
self.log.info("Polling statement %s", statement_id)
resp = self.conn.describe_statement(
Id=statement_id,
)
status = resp["Status"]
if status == "FINISHED":
num_rows = resp.get("ResultRows")
if num_rows is not None:
self.log.info("Processed %s rows", num_rows)
return status
elif status == "FAILED" or status == "ABORTED":
raise ValueError(
f"Statement {statement_id!r} terminated with status {status}. "
f"Response details: {pformat(resp)}"
)
else:
self.log.info("Query %s", status)
sleep(poll_interval)
[docs] def get_table_primary_key(
self,
table: str,
database: str,
schema: str | None = "public",
cluster_identifier: str | None = None,
db_user: str | 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,
) -> list[str] | None:
"""
Helper method that returns the table primary key.
Copied from ``RedshiftSQLHook.get_table_primary_key()``
:param table: Name of the target table
:param database: the name of the database
:param schema: Name of the target schema, public by default
: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 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
:return: Primary key columns list
"""
sql = f"""
select kcu.column_name
from information_schema.table_constraints tco
join information_schema.key_column_usage kcu
on kcu.constraint_name = tco.constraint_name
and kcu.constraint_schema = tco.constraint_schema
and kcu.constraint_name = tco.constraint_name
where tco.constraint_type = 'PRIMARY KEY'
and kcu.table_schema = {schema}
and kcu.table_name = {table}
"""
stmt_id = self.execute_query(
sql=sql,
database=database,
cluster_identifier=cluster_identifier,
db_user=db_user,
secret_arn=secret_arn,
statement_name=statement_name,
with_event=with_event,
wait_for_completion=wait_for_completion,
poll_interval=poll_interval,
)
pk_columns = []
token = ""
while True:
kwargs = dict(Id=stmt_id)
if token:
kwargs["NextToken"] = token
response = self.conn.get_statement_result(**kwargs)
# we only select a single column (that is a string),
# so safe to assume that there is only a single col in the record
pk_columns += [y["stringValue"] for x in response["Records"] for y in x]
if "NextToken" not in response.keys():
break
else:
token = response["NextToken"]
return pk_columns or None
