NotesWhat is notes.io?

Notes brand slogan

Notes - notes.io

"""
### Copy cloudsql tables to bigquery
"""
import os
import logging
from airflow import DAG
from datetime import datetime, timedelta
from airflow.contrib.operators.postgres_to_gcs import PostgresToGoogleCloudStorageOperator
from airflow.contrib.operators.gcs_to_bq import GoogleCloudStorageToBigQueryOperator

default_args = {
'owner': 'rohit',
'depends_on_past': False,
'start_date': '2020-10-28', # Change this to a literal date to make scheduler work.
'email': ['[email protected]'],
'email_on_failure': False,
'email_on_retry': False,
'retries': 2,
'retry_delay': timedelta(minutes=1),
}

dag = DAG('etl_cloudsql_to_bigquery',
default_args=default_args,
schedule_interval='0 * * * *')
dag.doc_md = __doc__


class TableConfig:
def __init__(self,
cloud_sql_instance,
export_bucket,
export_database,
export_table,
export_query,
gcp_project,
stage_dataset,
stage_table,
stage_final_query,
bq_location
):

self.params = {
'export_table': export_table,
'export_bucket': export_bucket,
'export_database': export_database,
'export_query': export_query,
'gcp_project': gcp_project,
'stage_dataset': stage_dataset,
'stage_table': stage_table or export_table,
'stage_final_query': stage_final_query,
'cloud_sql_instance': cloud_sql_instance,
'bq_location': bq_location or "EU",
}

def get_tables():
"""
return a list of tables that should go from cloud sql to bigquery
All tables reside in the same cloud sql instance.
:return:
"""
dim_tables = ["company_stages_enum", "connection_status_enum", "component_type_enum", "lifecycle_phase_enum",
"manufacturing_methods_enum", "notification_action_types", "notification_entity_types", "organization_roles_enum",
"payment_terms_enum", "proposal_status_enum"]
fact_tables = ["addresses", "company_addresses", "component_files", "components", "connections",
"manufacturer_organizations", "innovator_organizations", "notifications", "orders", "organizations",
"pricing_information", "project_rfps", "projects", "rfps", "user_notifications", "user_projects", "users"]
export_tables = dim_tables + fact_tables
tables = []
for dim in export_tables:
cfg = TableConfig(cloud_sql_instance='CLOUD_SQL_INSTANCE_NAME',
export_table=dim.split(".")[-1],
export_bucket='YOUR_STAGING_BUCKET',
export_database=dim.split(".")[0],
export_query="SELECT * from {}".format(dim),
gcp_project="YOUR_PROJECT_ID",
stage_dataset="YOUR_STAGING_DATASET",
stage_table=None,
stage_final_query=None,
bq_location="EU")
tables.append(cfg)
return tables

def gen_export_table_task(table_config):
export_task = PostgresToGoogleCloudStorageOperator(task_id='export_{}'.format(table_config.params['export_table']),
dag=dag,
sql=table_config.params['export_query'],
bucket=table_config.params['export_bucket'],
filename="cloudsql_to_bigquery/{}/{}".format(table_config.params['export_database'],
table_config.params['export_table']) + "_{}",
schema_filename="cloudsql_to_bigquery/schema/{}/schema_raw".format(table_config.params['export_table']),
mysql_conn_id="gcp_dvh_cloudsql")
export_task.doc_md = """
#### Export table from cloudsql to cloud storage
task documentation
"""
return export_task


def gen_import_table_task(table_config):
import_task = GoogleCloudStorageToBigQueryOperator(
task_id='{}_to_bigquery'.format(table_config.params['export_table']),
bucket=table_config.params['export_bucket'],
source_objects=["cloudsql_to_bigquery/{}/{}*".format(table_config.params['export_database'],
table_config.params['export_table'])],
destination_project_dataset_table="{}.{}.{}".format(table_config.params['gcp_project'],
table_config.params['stage_dataset'],
table_config.params['stage_table']),
schema_object="cloudsql_to_bigquery/schema/{}/schema_raw".format(table_config.params['export_table']),
write_disposition='WRITE_TRUNCATE',
source_format="NEWLINE_DELIMITED_JSON",
dag=dag)

import_task.doc_md = """
#### Import table from storage to bigquery
task documentation
"""
return import_task


"""
The code that follows setups the dependencies between the tasks
"""

for table_config in get_tables():
export_script = gen_export_table_task(table_config)
import_script = gen_import_table_task(table_config)

export_script >> import_script
129,1 Bot
     
 
what is notes.io
 

Notes.io is a web-based application for taking notes. You can take your notes and share with others people. If you like taking long notes, notes.io is designed for you. To date, over 8,000,000,000 notes created and continuing...

With notes.io;

  • * You can take a note from anywhere and any device with internet connection.
  • * You can share the notes in social platforms (YouTube, Facebook, Twitter, instagram etc.).
  • * You can quickly share your contents without website, blog and e-mail.
  • * You don't need to create any Account to share a note. As you wish you can use quick, easy and best shortened notes with sms, websites, e-mail, or messaging services (WhatsApp, iMessage, Telegram, Signal).
  • * Notes.io has fabulous infrastructure design for a short link and allows you to share the note as an easy and understandable link.

Fast: Notes.io is built for speed and performance. You can take a notes quickly and browse your archive.

Easy: Notes.io doesn’t require installation. Just write and share note!

Short: Notes.io’s url just 8 character. You’ll get shorten link of your note when you want to share. (Ex: notes.io/q )

Free: Notes.io works for 12 years and has been free since the day it was started.


You immediately create your first note and start sharing with the ones you wish. If you want to contact us, you can use the following communication channels;


Email: [email protected]

Twitter: http://twitter.com/notesio

Instagram: http://instagram.com/notes.io

Facebook: http://facebook.com/notesio



Regards;
Notes.io Team

     
 
Shortened Note Link
 
 
Looding Image
 
     
 
Long File
 
 

For written notes was greater than 18KB Unable to shorten.

To be smaller than 18KB, please organize your notes, or sign in.