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README.md

OpenSearch dashboard for Apache James

OpenSearch dashboard is a solution allowing data visualization on top of an existing OpenSearch cluster.

It can be used to create interesting visualizations when used on top of Apache James OpenSearch indexes.

Set up

  1. Adapt the docker-compose.yml file to your needs (IP address & credentials)
  2. Start it with docker compose up
  3. Login in your browser: http://127.0.0.1:5601 with the credential documented in the docker-compose.yml file
  4. In Dashboard Management > Index pattern import the mailbox_v2 (using date as a date field) and quota_ratio_v1
  5. In Dashboard Management > Saved objects import james-dashboard.ndjson

Supported visualizations

  • Quota usage

img.png

  • New mails timeline

img_1.png

  • Top senders

img_2.png

  • Top recipients

img_3.png

  • Email size distribution

img_4.png

  • Attachment usage report

img_5.png

  • Total email created during the period

img_6.png

  • Unique email (by message-id)

img_7.png

  • Read / unread ratio

img_8.png

  • has attachment ratio

img_9.png

  • user flag heatmap

img_10.png

  • People that reads the more mails

img_12.png

  • People that answers the more mails

img_11.png

  • People that generates the most data (by size)

img_13.png

  • Recipient count analysis

img_14.png

  • Estimated delivery times in second (differences between sentDate and savedDate)

img_15.png

Scripted fields

Some of the above visualizations relies on scripted fields.

In order to create them navigate the following menus:

Dashboard management Index pattern mailbox_v2 scripted field

Then create the following scripted fields:

language: painless
type: number
format: numer
name: recipientCount
Script:

int count = 0;

    for (nested in params._source.to) {
        count += 1;
    }   

return count;

and

> Dashboard management
> Index pattern
> mailbox_v2
> scripted field

language: painless
type: number
format: numer
name: deliveryTime
Script:

if (doc.containsKey('saveDate') && doc.containsKey('sentDate')) {
    return (doc['saveDate'].value.getMillis() - doc['sentDate'].value.getMillis()) / 1000;  
} else {
    return 0;
}