bigfunctions > send_mail_with_excel
send_mail_with_excel¶
Call or Deploy send_mail_with_excel
?
✅ You can call this send_mail_with_excel
bigfunction directly from your Google Cloud Project (no install required).
- This
send_mail_with_excel
function is deployed inbigfunctions
GCP project in 39 datasets for all of the 39 BigQuery regions. You need to use the dataset in the same region as your datasets (otherwise you may have a function not found error). - Function is public, so it can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
- You may prefer to deploy the BigFunction in your own project if you want to build and manage your own catalog of functions. This is particularly useful if you want to create private functions (for example calling your internal APIs). Discover the framework
Public BigFunctions Datasets:
Region | Dataset |
---|---|
eu |
bigfunctions.eu |
us |
bigfunctions.us |
europe-west1 |
bigfunctions.europe_west1 |
asia-east1 |
bigfunctions.asia_east1 |
... | ... |
Description¶
Signature
send_mail_with_excel(to, subject, content, excel_filename, table_or_view_or_query)
Description
Sends an email with table_or_view_or_query
data attached as excel file
(only the first 1000 rows will be copied to the excel file)
This function calls
json2excel
andsend_mail
functions.
Param | Possible values |
---|---|
to |
One or multiple comma separated emails. For instance contact@unytics.io or contact@unytics.io, paul.marcombes@unytics.io |
subject |
Email subject |
content |
Can be plain text, html or markdown |
attachment_filename |
filename with extension such as report.xlsx |
table_or_view_or_query |
A fully qualified table or view you have permission to read or a sql query starting with select |
Examples¶
call bigfunctions.eu.send_mail_with_excel(
'contact@unytics.io',
'Financial Report',
'''
# Monthly Report from BigQuery
## KPIs
- **MRR**: 32,343 USD
- **Churn**: 4.2 %
- **Subscriptions**: +3452
''',
'report.xlsx',
'bigfunctions.eu.sales');
call bigfunctions.us.send_mail_with_excel(
'contact@unytics.io',
'Financial Report',
'''
# Monthly Report from BigQuery
## KPIs
- **MRR**: 32,343 USD
- **Churn**: 4.2 %
- **Subscriptions**: +3452
''',
'report.xlsx',
'bigfunctions.us.sales');
call bigfunctions.europe_west1.send_mail_with_excel(
'contact@unytics.io',
'Financial Report',
'''
# Monthly Report from BigQuery
## KPIs
- **MRR**: 32,343 USD
- **Churn**: 4.2 %
- **Subscriptions**: +3452
''',
'report.xlsx',
'bigfunctions.europe_west1.sales');
Need help using send_mail_with_excel
?
The community can help! Engage the conversation on Slack
For professional suppport, don't hesitate to chat with us.
Found a bug using send_mail_with_excel
?
If the function does not work as expected, please
- report a bug so that it can be improved.
- or open the discussion with the community on Slack.
For professional suppport, don't hesitate to chat with us.
Use cases¶
A marketing analyst wants to send a weekly performance report to their team. They have a BigQuery table called marketing.weekly_performance
that contains data on ad spend, impressions, clicks, conversions, and other relevant metrics.
Use Case:
Using the send_mail_with_excel
function, the analyst can automate the process of:
- Querying the BigQuery table: The
table_or_view_or_query
parameter can be set tomarketing.weekly_performance
. - Converting the results to an Excel file: The function automatically handles the conversion of the query results into an Excel file named, for example,
weekly_report.xlsx
. - Emailing the report: The analyst can specify recipients (
to
), subject line (subject
), and email body content (content
). The Excel file will be attached to the email.
Example BigQuery SQL:
call bigfunctions.<your-region>.send_mail_with_excel(
'marketing_team@company.com',
'Weekly Marketing Performance Report',
'''
Hello Team,
Please find attached the weekly marketing performance report.
Regards,
Marketing Analyst
''',
'weekly_report.xlsx',
'marketing.weekly_performance'
);
Benefits:
- Automation: Eliminates the manual steps of querying, exporting to Excel, and emailing.
- Time-saving: Frees up the analyst's time for more strategic tasks.
- Consistency: Ensures that the report is delivered on time and in a consistent format.
- Collaboration: Makes it easy to share the report with the entire marketing team.
Other potential use cases:
- Sales reporting: Sending daily or weekly sales figures to the sales team.
- Financial reporting: Distributing monthly financial statements to stakeholders.
- Customer support reporting: Sharing weekly customer support metrics with the customer support team.
- Automated alerts: Triggering an email with relevant data when certain thresholds are met (e.g., a sudden drop in website traffic). This would likely require integrating the function within a scheduled query or other automated workflow.
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