How can I get the behaviour flow of user using collection of logs?
Background:
I'm using ArangoDB to hold an app's log data that is similar to web traffic
(I hope that this is a good use case)
I've got two things I'm doing from the nodejs app that processes it
1) insert parsed data
2) pre-aggregate data to get event counts quickly
In some cases I may need to get more advanced information such as the most
common behaviour flow.
assuming I've got data such as this:
[
{"id":"917", "date":"2016-08-01", "time":"10:33:37", "location":"home"},
{"id":"917", "date":"2016-08-01", "time":"10:33:39",
"location":"category/1"},
{"id":"917", "date":"2016-08-01", "time":"10:33:45",
"location":"category/4"},
{"id":"917", "date":"2016-08-01", "time":"10:33:45", "location":"item/6"},
{"id":"917", "date":"2016-08-01", "time":"10:33:50", "location":"home"},
etc...
]
the problem I've found already is that even though I'm inserting them
sequentially, once I add two lines with the same timestamp (no millisecond
info) I can't tell which one came first.
Is this something I could use the graph component for?
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