132 строки
4.0 KiB
Python
132 строки
4.0 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""
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Example use of Snowflake related operators.
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"""
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from airflow import DAG
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from airflow.providers.snowflake.operators.snowflake import SnowflakeOperator
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from airflow.providers.snowflake.transfers.s3_to_snowflake import S3ToSnowflakeOperator
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from airflow.providers.snowflake.transfers.snowflake_to_slack import SnowflakeToSlackOperator
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from airflow.utils.dates import days_ago
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SNOWFLAKE_CONN_ID = 'my_snowflake_conn'
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SLACK_CONN_ID = 'my_slack_conn'
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# TODO: should be able to rely on connection's schema, but currently param required by S3ToSnowflakeTransfer
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SNOWFLAKE_SCHEMA = 'schema_name'
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SNOWFLAKE_STAGE = 'stage_name'
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SNOWFLAKE_WAREHOUSE = 'warehouse_name'
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SNOWFLAKE_DATABASE = 'database_name'
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SNOWFLAKE_ROLE = 'role_name'
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SNOWFLAKE_SAMPLE_TABLE = 'sample_table'
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S3_FILE_PATH = '</path/to/file/sample_file.csv'
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# SQL commands
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CREATE_TABLE_SQL_STRING = (
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f"CREATE OR REPLACE TRANSIENT TABLE {SNOWFLAKE_SAMPLE_TABLE} (name VARCHAR(250), id INT);"
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)
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SQL_INSERT_STATEMENT = f"INSERT INTO {SNOWFLAKE_SAMPLE_TABLE} VALUES ('name', %(id)s)"
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SQL_LIST = [SQL_INSERT_STATEMENT % {"id": n} for n in range(0, 10)]
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SNOWFLAKE_SLACK_SQL = f"SELECT name, id FROM {SNOWFLAKE_SAMPLE_TABLE} LIMIT 10;"
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SNOWFLAKE_SLACK_MESSAGE = (
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"Results in an ASCII table:\n```{{ results_df | tabulate(tablefmt='pretty', headers='keys') }}```"
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)
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default_args = {
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'owner': 'airflow',
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}
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dag = DAG(
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'example_snowflake',
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default_args=default_args,
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start_date=days_ago(2),
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tags=['example'],
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)
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# [START howto_operator_snowflake]
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snowflake_op_sql_str = SnowflakeOperator(
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task_id='snowflake_op_sql_str',
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dag=dag,
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snowflake_conn_id=SNOWFLAKE_CONN_ID,
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sql=CREATE_TABLE_SQL_STRING,
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warehouse=SNOWFLAKE_WAREHOUSE,
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database=SNOWFLAKE_DATABASE,
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schema=SNOWFLAKE_SCHEMA,
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role=SNOWFLAKE_ROLE,
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)
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snowflake_op_with_params = SnowflakeOperator(
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task_id='snowflake_op_with_params',
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dag=dag,
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snowflake_conn_id=SNOWFLAKE_CONN_ID,
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sql=SQL_INSERT_STATEMENT,
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parameters={"id": 56},
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warehouse=SNOWFLAKE_WAREHOUSE,
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database=SNOWFLAKE_DATABASE,
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schema=SNOWFLAKE_SCHEMA,
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role=SNOWFLAKE_ROLE,
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)
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snowflake_op_sql_list = SnowflakeOperator(
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task_id='snowflake_op_sql_list', dag=dag, snowflake_conn_id=SNOWFLAKE_CONN_ID, sql=SQL_LIST
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)
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snowflake_op_template_file = SnowflakeOperator(
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task_id='snowflake_op_template_file',
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dag=dag,
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snowflake_conn_id=SNOWFLAKE_CONN_ID,
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sql='/path/to/sql/<filename>.sql',
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)
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# [END howto_operator_snowflake]
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# [START howto_operator_s3_to_snowflake]
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copy_into_table = S3ToSnowflakeOperator(
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task_id='copy_into_table',
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snowflake_conn_id=SNOWFLAKE_CONN_ID,
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s3_keys=[S3_FILE_PATH],
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table=SNOWFLAKE_SAMPLE_TABLE,
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schema=SNOWFLAKE_SCHEMA,
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stage=SNOWFLAKE_STAGE,
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file_format="(type = 'CSV',field_delimiter = ';')",
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dag=dag,
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)
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# [END howto_operator_s3_to_snowflake]
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# [START howto_operator_snowflake_to_slack]
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slack_report = SnowflakeToSlackOperator(
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task_id="slack_report",
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sql=SNOWFLAKE_SLACK_SQL,
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slack_message=SNOWFLAKE_SLACK_MESSAGE,
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snowflake_conn_id=SNOWFLAKE_CONN_ID,
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slack_conn_id=SLACK_CONN_ID,
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dag=dag,
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)
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# [END howto_operator_snowflake_to_slack]
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snowflake_op_sql_str >> [
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snowflake_op_with_params,
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snowflake_op_sql_list,
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snowflake_op_template_file,
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copy_into_table,
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] >> slack_report
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