EmailData

Dependencies & cluster requirements

Dependencies:

ProphecyWebAppPython 0.1.2+
ProphecyLibsPython 1.9.42+

Cluster requirements:

UC dedicated clusters 14.3+ supported
UC standard clusters 14.3+ supported
Livy clusters not supported

Use the EmailData gem to send data from your Spark pipeline by email. You can embed a data table in the email body, attach a file (CSV, Excel, or JSON), or do both. This gem is useful for sharing reports, alerts, or intermediate results with others directly from your pipeline. Configure a few parameters to set up your SMTP connection and customize the email content.

Parameters

Parameter	Description
SMTP Url	SMTP server URL like `smtp.gmail.com`
SMTP Port	Default is `587`. Port options may vary between SMTP services.
SMTP Username	Your SMTP username
SMTP Password	Your SMTP password
Email From (Sender)	Email address of the sender (same as SMTP connection)
Email To (Receiver)	Email address of the receiver. You can list multiple recipients.
Email Subject	Subject line of the email
Email Cc (Comma separated)	CC recipient(s)
Email Bcc (Comma separated)	BCC recipient(s)
Embed data as table in mail body	Whether to display the table in the email body
Number of rows to add to email	Maximum number of rows that will be displayed in the email body
Attach data as email attachment	Whether to send the data as an attachment in the email
Format	Dropdown where you can select whether to attach the file as a CSV, Excel, or JSON file
Attachment File Name	How the file will be named when sent as an attachment

Overview

Sources and targets

Data processing

Advanced

Parameters

​Parameters

Parameters