Elastic Search Query for cross document reference counts

Elastic Stack Elasticsearch
1

I have emails in the index which look like these:

    {
        "emailId" : 1,
        "to" : "a@example.com",
        "from" : "b@example.com",
        "subject" : "xyz subject"
    },
    {
        "emailId" : 2,
        "to" : "b@example.com",
        "from" : "c@example.com",
        "subject" : "abc subject"
    },
    {
        "emailId" : 3,
        "to" : "c@example.com",
        "from" : "d@example.com",
        "subject" : "some subject"
    },
    {
        "emailId" : 1,
        "to" : "b@example.com",
        "from" : "a@example.com",
        "subject" : "xyz subject"
    }

I would like to query the index to get a response to show on a chord diagram, which requires the data in this format:

[
    { from: "A", to: "D", value: 10 },
    { from: "B", to: "D", value: 8 },
    { from: "B", to: "E", value: 4 },
    { from: "B", to: "C", value: 2 },
    { from: "C", to: "E", value: 14 },
    { from: "E", to: "D", value: 8 },
    { from: "C", to: "A", value: 4 },
    { from: "G", to: "A", value: 7 },
    { from: "D", to: "B", value: 1 }
]

What's the best way to model the document and what aggregation would be the best?

Thanks!

2

Can anyone please help with this? Does it belong in a different forum?
Thanks in advance!

3

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