Forum Discussion
Send Email using Python /PySpark Notebook
Hi Team,
I would like to send email when my Notebook fails with any errors, which I am appending into "error_data" list;
I want to do in Notebook and schedule that Notebook, so that if any error within Notebook execution, I will get an email Notification;
I want to just do with Notebooks (Pipelines won't be required); and won't be needing any sender email;
I just need to give receiver email.
Any assistance on this will be highly helpful.
Thanks in advance,
Ashwath
Ashwath_Bala_S I don't understand the rationale behind not using the pipeline, which already has send email activity. I'm sure you can find a solution like below (I just googled it), but what is the point, why to reinvent the wheel?
from pyspark.sql import SparkSession import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText from email.mime.base import MIMEBase from email import encoders import os # --------------------------- # 1. Initialize Spark Session # --------------------------- spark = SparkSession.builder \ .appName("PySparkEmailExample") \ .getOrCreate() # --------------------------- # 2. Create a sample DataFrame # --------------------------- data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)] df = spark.createDataFrame(data, ["Name", "Age"]) # Save DataFrame to CSV (driver local path) csv_path = "/tmp/sample_data.csv" df.coalesce(1).toPandas().to_csv(csv_path, index=False) # coalesce to 1 file for attachment # --------------------------- # 3. Email sending function # --------------------------- def send_email_with_attachment( smtp_server, smtp_port, sender_email, sender_password, recipient_email, subject, body, attachment_path=None ): try: # Create the email msg = MIMEMultipart() msg["From"] = sender_email msg["To"] = recipient_email msg["Subject"] = subject # Add body text msg.attach(MIMEText(body, "plain")) # Add attachment if provided if attachment_path and os.path.exists(attachment_path): with open(attachment_path, "rb") as f: part = MIMEBase("application", "octet-stream") part.set_payload(f.read()) encoders.encode_base64(part) part.add_header( "Content-Disposition", f"attachment; filename={os.path.basename(attachment_path)}" ) msg.attach(part) # Connect to SMTP server and send with smtplib.SMTP(smtp_server, smtp_port) as server: server.starttls() # Secure connection server.login(sender_email, sender_password) server.send_message(msg) print("✅ Email sent successfully.") except Exception as e: print(f"❌ Failed to send email: {e}") # --------------------------- # 4. Call the function # --------------------------- # Example: Gmail SMTP (requires app password if 2FA enabled) send_email_with_attachment( smtp_server="smtp.gmail.com", smtp_port=587, sender_email="[email protected]", sender_password="your_app_password", # Use environment variable in production recipient_email="[email protected]", subject="PySpark Data Report", body="Hello,\n\nPlease find attached the latest data report.\n\nRegards,\nPySpark Job", attachment_path=csv_path ) # --------------------------- # 5. Stop Spark # --------------------------- spark.stop()
4 Replies
- Murtaza_GhafoorSuper User
Let me know if you can see these options
Save the notebook.
Schedule it in Fabric.
Whenever it fails, you get an email.( add email address there). - parry2kSuper User
Ashwath_Bala_S I don't understand the rationale behind not using the pipeline, which already has send email activity. I'm sure you can find a solution like below (I just googled it), but what is the point, why to reinvent the wheel?
from pyspark.sql import SparkSession import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText from email.mime.base import MIMEBase from email import encoders import os # --------------------------- # 1. Initialize Spark Session # --------------------------- spark = SparkSession.builder \ .appName("PySparkEmailExample") \ .getOrCreate() # --------------------------- # 2. Create a sample DataFrame # --------------------------- data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)] df = spark.createDataFrame(data, ["Name", "Age"]) # Save DataFrame to CSV (driver local path) csv_path = "/tmp/sample_data.csv" df.coalesce(1).toPandas().to_csv(csv_path, index=False) # coalesce to 1 file for attachment # --------------------------- # 3. Email sending function # --------------------------- def send_email_with_attachment( smtp_server, smtp_port, sender_email, sender_password, recipient_email, subject, body, attachment_path=None ): try: # Create the email msg = MIMEMultipart() msg["From"] = sender_email msg["To"] = recipient_email msg["Subject"] = subject # Add body text msg.attach(MIMEText(body, "plain")) # Add attachment if provided if attachment_path and os.path.exists(attachment_path): with open(attachment_path, "rb") as f: part = MIMEBase("application", "octet-stream") part.set_payload(f.read()) encoders.encode_base64(part) part.add_header( "Content-Disposition", f"attachment; filename={os.path.basename(attachment_path)}" ) msg.attach(part) # Connect to SMTP server and send with smtplib.SMTP(smtp_server, smtp_port) as server: server.starttls() # Secure connection server.login(sender_email, sender_password) server.send_message(msg) print("✅ Email sent successfully.") except Exception as e: print(f"❌ Failed to send email: {e}") # --------------------------- # 4. Call the function # --------------------------- # Example: Gmail SMTP (requires app password if 2FA enabled) send_email_with_attachment( smtp_server="smtp.gmail.com", smtp_port=587, sender_email="[email protected]", sender_password="your_app_password", # Use environment variable in production recipient_email="[email protected]", subject="PySpark Data Report", body="Hello,\n\nPlease find attached the latest data report.\n\nRegards,\nPySpark Job", attachment_path=csv_path ) # --------------------------- # 5. Stop Spark # --------------------------- spark.stop()- v-menakakotaCommunity Support
Hi Ashwath_Bala_S ,
Thanks for reaching out to the Microsoft fabric community forum.
I would also take a moment to thank Murtaza_Ghafoor and parry2k , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.
I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .
Best Regards,
Community Support Team- v-menakakotaCommunity Support
Hi Ashwath_Bala_S ,
I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .
Best Regards,
Community Support Team