gopidesupavan opened a new pull request, #62754:
URL: https://github.com/apache/airflow/pull/62754
closes https://github.com/apache/airflow/issues/62736
This PR adds support for Apache Iceberg to integrate with AnalyticsOperator.
```
from __future__ import annotations
import datetime
from airflow.providers.common.sql.config import DataSourceConfig
from airflow.providers.common.sql.operators.analytics import
AnalyticsOperator
from airflow.sdk import DAG, task
datasource_config_iceberg = DataSourceConfig(
conn_id="iceberg_default",
table_name="users_data",
db_name="demo", # will be used to load table via pyiceberg eg:
demo.users_data
format="iceberg",
)
"""
For example when working iceberg with glue catalog provide the following
format for iceberg connection extras:
{
"client.access-key-id": "<>",
"client.secret-access-key": "<>",
'client.region': '<region>',
"type": "glue",
"uri": "https://glue.<region>.amazonaws.com/iceberg",
}
"""
with DAG(
dag_id="example_analytics",
schedule=datetime.timedelta(hours=4),
start_date=datetime.datetime(2021, 1, 1),
catchup=False,
tags=["analytics", "common-sql"],
) as dag:
@task.analytics(datasource_configs=[datasource_config_iceberg])
def get_users_product_queries_from_iceberg_catalog():
return ["SELECT * FROM users_data LIMIT 10", "SELECT count(*) FROM
users_data"]
get_users_product_queries_from_iceberg_catalog()
```
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