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from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, Sequence
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.redshift_data import RedshiftDataHook
from airflow.providers.amazon.aws.hooks.redshift_sql import RedshiftSQLHook
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.amazon.aws.utils.redshift import build_credentials_block
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]AVAILABLE_METHODS = ["APPEND", "REPLACE", "UPSERT"]
[docs]class S3ToRedshiftOperator(BaseOperator):
"""
Executes an COPY command to load files from s3 to Redshift.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:S3ToRedshiftOperator`
:param table: reference to a specific table in redshift database
:param s3_bucket: reference to a specific S3 bucket
:param s3_key: key prefix that selects single or multiple objects from S3
:param schema: reference to a specific schema in redshift database.
Do not provide when copying into a temporary table
:param redshift_conn_id: reference to a specific redshift database OR a redshift data-api connection
:param aws_conn_id: reference to a specific S3 connection
If the AWS connection contains 'aws_iam_role' in ``extras``
the operator will use AWS STS credentials with a token
https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-authorization.html#copy-credentials
:param verify: Whether to verify SSL certificates for S3 connection.
By default, SSL certificates are verified.
You can provide the following values:
- ``False``: do not validate SSL certificates. SSL will still be used
(unless use_ssl is False), but SSL certificates will not be
verified.
- ``path/to/cert/bundle.pem``: A filename of the CA cert bundle to uses.
You can specify this argument if you want to use a different
CA cert bundle than the one used by botocore.
:param column_list: list of column names to load source data fields into specific target columns
https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-column-mapping.html#copy-column-list
:param copy_options: reference to a list of COPY options
:param method: Action to be performed on execution. Available ``APPEND``, ``UPSERT`` and ``REPLACE``.
:param upsert_keys: List of fields to use as key on upsert action
:param redshift_data_api_kwargs: If using the Redshift Data API instead of the SQL-based connection,
dict of arguments for the hook's ``execute_query`` method.
Cannot include any of these kwargs: ``{'sql', 'parameters'}``
"""
[docs] template_fields: Sequence[str] = (
"s3_bucket",
"s3_key",
"schema",
"table",
"column_list",
"copy_options",
"redshift_conn_id",
"method",
"redshift_data_api_kwargs",
"aws_conn_id",
)
[docs] template_ext: Sequence[str] = ()
def __init__(
self,
*,
table: str,
s3_bucket: str,
s3_key: str,
schema: str | None = None,
redshift_conn_id: str = "redshift_default",
aws_conn_id: str | None = "aws_default",
verify: bool | str | None = None,
column_list: list[str] | None = None,
copy_options: list | None = None,
autocommit: bool = False,
method: str = "APPEND",
upsert_keys: list[str] | None = None,
redshift_data_api_kwargs: dict | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.schema = schema
self.table = table
self.s3_bucket = s3_bucket
self.s3_key = s3_key
self.redshift_conn_id = redshift_conn_id
self.aws_conn_id = aws_conn_id
self.verify = verify
self.column_list = column_list
self.copy_options = copy_options or []
self.autocommit = autocommit
self.method = method
self.upsert_keys = upsert_keys
self.redshift_data_api_kwargs = redshift_data_api_kwargs or {}
if self.redshift_data_api_kwargs:
for arg in ["sql", "parameters"]:
if arg in self.redshift_data_api_kwargs:
raise AirflowException(f"Cannot include param '{arg}' in Redshift Data API kwargs")
@property
[docs] def use_redshift_data(self):
return bool(self.redshift_data_api_kwargs)
def _build_copy_query(
self, copy_destination: str, credentials_block: str, region_info: str, copy_options: str
) -> str:
column_names = "(" + ", ".join(self.column_list) + ")" if self.column_list else ""
return f"""
COPY {copy_destination} {column_names}
FROM 's3://{self.s3_bucket}/{self.s3_key}'
credentials
'{credentials_block}'
{region_info}
{copy_options};
"""
[docs] def execute(self, context: Context) -> None:
if self.method not in AVAILABLE_METHODS:
raise AirflowException(f"Method not found! Available methods: {AVAILABLE_METHODS}")
if self.use_redshift_data:
redshift_data_hook = RedshiftDataHook(aws_conn_id=self.redshift_conn_id)
else:
redshift_sql_hook = RedshiftSQLHook(redshift_conn_id=self.redshift_conn_id)
conn = S3Hook.get_connection(conn_id=self.aws_conn_id) if self.aws_conn_id else None
region_info = ""
if conn and conn.extra_dejson.get("region", False):
region_info = f"region '{conn.extra_dejson['region']}'"
if conn and conn.extra_dejson.get("role_arn", False):
credentials_block = f"aws_iam_role={conn.extra_dejson['role_arn']}"
else:
s3_hook = S3Hook(aws_conn_id=self.aws_conn_id, verify=self.verify)
credentials = s3_hook.get_credentials()
credentials_block = build_credentials_block(credentials)
copy_options = "\n\t\t\t".join(self.copy_options)
destination = f"{self.schema}.{self.table}" if self.schema else self.table
copy_destination = f"#{self.table}" if self.method == "UPSERT" else destination
copy_statement = self._build_copy_query(
copy_destination, credentials_block, region_info, copy_options
)
sql: str | Iterable[str]
if self.method == "REPLACE":
sql = ["BEGIN;", f"DELETE FROM {destination};", copy_statement, "COMMIT"]
elif self.method == "UPSERT":
if self.use_redshift_data:
keys = self.upsert_keys or redshift_data_hook.get_table_primary_key(
table=self.table, schema=self.schema, **self.redshift_data_api_kwargs
)
else:
keys = self.upsert_keys or redshift_sql_hook.get_table_primary_key(self.table, self.schema)
if not keys:
raise AirflowException(
f"No primary key on {self.schema}.{self.table}. Please provide keys on 'upsert_keys'"
)
where_statement = " AND ".join([f"{self.table}.{k} = {copy_destination}.{k}" for k in keys])
sql = [
f"CREATE TABLE {copy_destination} (LIKE {destination} INCLUDING DEFAULTS);",
copy_statement,
"BEGIN;",
f"DELETE FROM {destination} USING {copy_destination} WHERE {where_statement};",
f"INSERT INTO {destination} SELECT * FROM {copy_destination};",
"COMMIT",
]
else:
sql = copy_statement
self.log.info("Executing COPY command...")
if self.use_redshift_data:
redshift_data_hook.execute_query(sql=sql, **self.redshift_data_api_kwargs)
else:
redshift_sql_hook.run(sql, autocommit=self.autocommit)
self.log.info("COPY command complete...")
[docs] def get_openlineage_facets_on_complete(self, task_instance):
"""Implement on_complete as we will query destination table."""
from airflow.providers.amazon.aws.utils.openlineage import (
get_facets_from_redshift_table,
)
from airflow.providers.common.compat.openlineage.facet import (
Dataset,
LifecycleStateChange,
LifecycleStateChangeDatasetFacet,
)
from airflow.providers.openlineage.extractors import OperatorLineage
if self.use_redshift_data:
redshift_data_hook = RedshiftDataHook(aws_conn_id=self.redshift_conn_id)
database = self.redshift_data_api_kwargs.get("database")
identifier = self.redshift_data_api_kwargs.get(
"cluster_identifier", self.redshift_data_api_kwargs.get("workgroup_name")
)
port = self.redshift_data_api_kwargs.get("port", "5439")
authority = f"{identifier}.{redshift_data_hook.region_name}:{port}"
output_dataset_facets = get_facets_from_redshift_table(
redshift_data_hook, self.table, self.redshift_data_api_kwargs, self.schema
)
else:
redshift_sql_hook = RedshiftSQLHook(redshift_conn_id=self.redshift_conn_id)
database = redshift_sql_hook.conn.schema
authority = redshift_sql_hook.get_openlineage_database_info(redshift_sql_hook.conn).authority
output_dataset_facets = get_facets_from_redshift_table(
redshift_sql_hook, self.table, {}, self.schema
)
if self.method == "REPLACE":
output_dataset_facets["lifecycleStateChange"] = LifecycleStateChangeDatasetFacet(
lifecycleStateChange=LifecycleStateChange.OVERWRITE
)
output_dataset = Dataset(
namespace=f"redshift://{authority}",
name=f"{database}.{self.schema}.{self.table}" if database else f"{self.schema}.{self.table}",
facets=output_dataset_facets,
)
input_dataset = Dataset(
namespace=f"s3://{self.s3_bucket}",
name=self.s3_key,
)
return OperatorLineage(inputs=[input_dataset], outputs=[output_dataset])