Identify classes of key data that we can use to aggregate raw flow data in order to increase performance

Aperta
#153 2 commenti 0 reazioni 0 assegnatari Vedi su GitHub

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Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
25/100
Tipo di issue
Funzionalità
Chiarezza
Da chiarire
Stato di attività
Ferma
Stack tecnologico
php
Ambito
databases

Direzione di ricerca

This issue is a discussion about what FlowView data users want aggregated, not a request naming code files or tests. Start by reviewing the raw flow tables and the existing reporting needs described in the issue; done means identifying which data beyond packet, byte, and flow totals should be aggregated by hour or day.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

enhancement help wanted

Is your feature request related to a problem? Please describe.

It's clear, even from my little home install that data will pile up in the raw tables over time and that for most queries, the tool will become unusable if for example, you want to see the top traffic by source domain over a month, the queries may never complete, even if done in parallel. So, it's important to aggregate key data by day or by day and hour such that the user interface is usable.

In order to do that, we first must hear from users as to what is important to capture for aggregation and high level reporting.

We will use this ticket to start the discussion on that topic.

Describe the solution you'd like

We would like users of FlowView to describe what data is key outside of the totals of packet, bytes, and flows so that we can consolidate that data by hour or day into more analytically focused partitions.

Describe alternatives you've considered

Just parallelizing queries is not enough if this tool is to be more than a nice utility to use for your home network. So, we have to give this topic some thought. We will parallelize, it's just not enough.

Lingua principale
PHP
Stelle
21
Fork
13
Merge medio
1g 15h
PR unite (30g)
13

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