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pyspark-batch-postgres-airflow's Introduction

PySpark Batch Pipeline With Postgres As Source And Sink, Airflow and Alerts

Pipeline Flow:

  1. Airflow trigger job everyday.
  2. Source data from postgres tables with date=today filter.
  3. Calculating related metrics: Educational DB.
  4. Writing metrics to postgres as sink.
  5. Email alert when job finishes.

Email Alerts Settings In airflow.cfg

[smtp]
smtp_host = smtp.gmail.com
smtp_starttls = True
smtp_ssl = False
smtp_user = gmail_username
smtp_password = gmail_app_password
smtp_port = 587
smtp_mail_from = [email protected]
smtp_timeout = 30
smtp_retry_limit = 5

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