Nan travay ak , erè yo evidan. Pandan ke Databricks bay entegre alèt pou erè nan travay, alèt sa yo souvan epi yo ka pa koresponn ak bezwen rapò oswa fòma espesifik. Yon apwòch plis fleksib ak pri-efikas se mete ki gen ladan detay pipeline ak mesaj erè nan yon fòma estrikti, tankou yon ajoute-sou Excel. Databricks pipelines and workflows not customizable custom email notifications Blog sa a pase nan apwòch pou implemantasyon anons Custom lè l sèvi avèk nan nan E . SMTP SendGrid Azure Logic Apps Microsoft Graph API Why Custom Notifications? 
 
 
 
 
 Fleksib fòma: Gen ladan metadata pipeline, mesaj erè, ak detaye kouri tan. Anexations: pataje rapò estriktirèl (Excel, CSV, elatriye) olye pou tèks senp. Kòd-efikasite: Evite solisyon pou kontwole ekstèn adisyonèl. Opsyon entegre: Fasil konekte nan enfrastrikti imel ki deja egziste. Approach 1: SMTP-Based Notifications Sèvi ak Python nan yon Databricks notebook, ou ka kreye yon rapò Excel ak voye li pa imel lè yon pipeline defèt. SMTP Example Implementation import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email.mime.text import MIMEText
from email import encoders
from io import BytesIO
import pandas as pd

#Sample pipeline history
df = spark.createDataFrame([ ('pipeline1', 'success', '7min'), ('pipeline1', 'fail', '3min'), ('pipeline1', 'success', '10min') ], ["PipelineName", "Status", "Duration"])

# Convert DataFrame to Excel
output = BytesIO() 
with pd.ExcelWriter(output, engine='xlsxwriter') as writer: 
df_pd = df.toPandas() 
df_pd.to_excel(writer, index=False, sheet_name='Sheet1') 
workbook = writer.book 
worksheet = writer.sheets['Sheet1']
 # Apply formatting
header_format = workbook.add_format({
    'bold': True,
    'bg_color': '#FFF00',
    'border': 1,
    'align': 'center',
    'valign': 'vcenter'
})
for col_num, value in enumerate(df_pd.columns):
    worksheet.write(0, col_num, value.upper(), header_format)

cell_format = workbook.add_format({'border': 1})
for row in range(1, len(df_pd) + 1):
    for col in range(len(df_pd.columns)):
        worksheet.write(row, col, df_pd.iloc[row-1, col], cell_format)

for i, col in enumerate(df_pd.columns):
    worksheet.set_column(i, i, 20)
output.seek(0)

# Email configuration
sender = "from@example.com"
receiver = "to@example.com"
subject = "Pipeline Execution Report"
body = """Hello Team,

Please find the attachment of the latest pipeline report.

Thanks,
Pipeline Team"""

msg = MIMEMultipart()
msg['From'] = sender
msg['To'] = receiver
msg['Subject'] = subject
msg.attach(MIMEText(body, 'plain'))

part = MIMEBase('application', 'vnd.openxmlformats-officedocument.spreadsheetml.sheet')
part.set_payload(output.read())
encoders.encode_base64(part)
part.add_header('Content-Disposition', 'attachment; filename="pipeline_report.xlsx"')
msg.attach(part)

smtp_server = "smtp.office.com"
smtp_port = 587

with smtplib.SMTP(smtp_server, smtp_port) as server:
    server.starttls()
    server.login(sender, "sender_password")
    server.send_message(msg)

print("Email sent successfully with Excel attachment")
 Scheduling Notifications Ou ka otomatikman aktivasyon anviwònman pa planifye notebook la: Option 1: Databricks Jobs 
 
 
 
 Kreye oswa edit yon databricks travay. Ajoute yon depans travay pou ke skript anviwònman ap kouri sèlman si travay anvan an se tès. Sa a asire detay erè yo capture ak rapòte imedyatman. Option 2: Azure Logic Apps 
 
 
 
 Konfigirasyon yon aplikasyon Logic ki tande pou erè pipeline. Passe detay pipeline ak ajoute nan yon apèl API nan fòma JSON. Logic Apps fè fas a livrezon e-mail ak retry mekanis. Conclusion Malgre ke Databricks bay siyifikasyon nesesè prensipal, elaji yo ak Garanti nan: custom SMTP or Logic App workflows 
 
 
 
 Rich, fòma rapò. Ekip vizibilite ak konteks detaye. Entegre san danje ak zouti kominikasyon antrepriz. Pwosesis sa a se pri-efikas, skalab, ak fasil yo adapte pou monitè tiyo gwo-scale.

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Custom E-mail Notifikasyon pou Databricks Pipeline Failures

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