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"""
Example DAG using PrestoToGCSOperator.
"""
import os
import re
from datetime import datetime
from airflow import models
from airflow.providers.google.cloud.operators.bigquery import (
BigQueryCreateEmptyDatasetOperator,
BigQueryCreateExternalTableOperator,
BigQueryDeleteDatasetOperator,
BigQueryInsertJobOperator,
)
from airflow.providers.google.cloud.transfers.presto_to_gcs import PrestoToGCSOperator
[docs]GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", 'example-project')
[docs]GCS_BUCKET = os.environ.get("GCP_PRESTO_TO_GCS_BUCKET_NAME", "INVALID BUCKET NAME")
[docs]DATASET_NAME = os.environ.get("GCP_PRESTO_TO_GCS_DATASET_NAME", "test_presto_to_gcs_dataset")
[docs]SOURCE_MULTIPLE_TYPES = "memory.default.test_multiple_types"
[docs]SOURCE_CUSTOMER_TABLE = "tpch.sf1.customer"
[docs]def safe_name(s: str) -> str:
"""
Remove invalid characters for filename
"""
return re.sub("[^0-9a-zA-Z_]+", "_", s)
with models.DAG(
dag_id="example_presto_to_gcs",
schedule_interval='@once', # Override to match your needs
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example"],
) as dag:
[docs] create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create-dataset", dataset_id=DATASET_NAME)
delete_dataset = BigQueryDeleteDatasetOperator(
task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True
)
# [START howto_operator_presto_to_gcs_basic]
presto_to_gcs_basic = PrestoToGCSOperator(
task_id="presto_to_gcs_basic",
sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
bucket=GCS_BUCKET,
filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.json",
)
# [END howto_operator_presto_to_gcs_basic]
# [START howto_operator_presto_to_gcs_multiple_types]
presto_to_gcs_multiple_types = PrestoToGCSOperator(
task_id="presto_to_gcs_multiple_types",
sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
bucket=GCS_BUCKET,
filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.json",
schema_filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
gzip=False,
)
# [END howto_operator_presto_to_gcs_multiple_types]
# [START howto_operator_create_external_table_multiple_types]
create_external_table_multiple_types = BigQueryCreateExternalTableOperator(
task_id="create_external_table_multiple_types",
bucket=GCS_BUCKET,
source_objects=[f"{safe_name(SOURCE_MULTIPLE_TYPES)}.*.json"],
table_resource={
"tableReference": {
"projectId": GCP_PROJECT_ID,
"datasetId": DATASET_NAME,
"tableId": f"{safe_name(SOURCE_MULTIPLE_TYPES)}",
},
"schema": {
"fields": [
{"name": "name", "type": "STRING"},
{"name": "post_abbr", "type": "STRING"},
]
},
"externalDataConfiguration": {
"sourceFormat": "NEWLINE_DELIMITED_JSON",
"compression": "NONE",
"csvOptions": {"skipLeadingRows": 1},
},
},
schema_object=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
)
# [END howto_operator_create_external_table_multiple_types]
read_data_from_gcs_multiple_types = BigQueryInsertJobOperator(
task_id="read_data_from_gcs_multiple_types",
configuration={
"query": {
"query": f"SELECT COUNT(*) FROM `{GCP_PROJECT_ID}.{DATASET_NAME}."
f"{safe_name(SOURCE_MULTIPLE_TYPES)}`",
"useLegacySql": False,
}
},
)
# [START howto_operator_presto_to_gcs_many_chunks]
presto_to_gcs_many_chunks = PrestoToGCSOperator(
task_id="presto_to_gcs_many_chunks",
sql=f"select * from {SOURCE_CUSTOMER_TABLE}",
bucket=GCS_BUCKET,
filename=f"{safe_name(SOURCE_CUSTOMER_TABLE)}.{{}}.json",
schema_filename=f"{safe_name(SOURCE_CUSTOMER_TABLE)}-schema.json",
approx_max_file_size_bytes=10_000_000,
gzip=False,
)
# [END howto_operator_presto_to_gcs_many_chunks]
create_external_table_many_chunks = BigQueryCreateExternalTableOperator(
task_id="create_external_table_many_chunks",
bucket=GCS_BUCKET,
table_resource={
"tableReference": {
"projectId": GCP_PROJECT_ID,
"datasetId": DATASET_NAME,
"tableId": f"{safe_name(SOURCE_CUSTOMER_TABLE)}",
},
"schema": {
"fields": [
{"name": "name", "type": "STRING"},
{"name": "post_abbr", "type": "STRING"},
]
},
"externalDataConfiguration": {
"sourceFormat": "NEWLINE_DELIMITED_JSON",
"compression": "NONE",
"csvOptions": {"skipLeadingRows": 1},
},
},
source_objects=[f"{safe_name(SOURCE_CUSTOMER_TABLE)}.*.json"],
schema_object=f"{safe_name(SOURCE_CUSTOMER_TABLE)}-schema.json",
)
# [START howto_operator_read_data_from_gcs_many_chunks]
read_data_from_gcs_many_chunks = BigQueryInsertJobOperator(
task_id="read_data_from_gcs_many_chunks",
configuration={
"query": {
"query": f"SELECT COUNT(*) FROM `{GCP_PROJECT_ID}.{DATASET_NAME}."
f"{safe_name(SOURCE_CUSTOMER_TABLE)}`",
"useLegacySql": False,
}
},
)
# [END howto_operator_read_data_from_gcs_many_chunks]
# [START howto_operator_presto_to_gcs_csv]
presto_to_gcs_csv = PrestoToGCSOperator(
task_id="presto_to_gcs_csv",
sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
bucket=GCS_BUCKET,
filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.csv",
schema_filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
export_format="csv",
)
# [END howto_operator_presto_to_gcs_csv]
create_dataset >> presto_to_gcs_basic
create_dataset >> presto_to_gcs_multiple_types
create_dataset >> presto_to_gcs_many_chunks
create_dataset >> presto_to_gcs_csv
presto_to_gcs_multiple_types >> create_external_table_multiple_types >> read_data_from_gcs_multiple_types
presto_to_gcs_many_chunks >> create_external_table_many_chunks >> read_data_from_gcs_many_chunks
presto_to_gcs_basic >> delete_dataset
presto_to_gcs_csv >> delete_dataset
read_data_from_gcs_multiple_types >> delete_dataset
read_data_from_gcs_many_chunks >> delete_dataset
