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<!doctype html>
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<title>Mr Banks -- Ou Como Aprendi a Parar de Me Preocupar e Amar o Stream Processing</title>
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<meta name="description" content="Colocando uma aplicação Flask em produção em 40 minutos (ou menos)">
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<meta name="author" content="Julio Biason">
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</head>
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<body>
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<div class="reveal">
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<div class="slides">
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<section>
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<section data-background="_images/unclephil.jpg">
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<h1 class="semi-opaque">
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Mr Banks
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<small class="fragment">Ou Como Aprendi a Parar de Me Preocupar e Amar o Stream Processing </small>
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</h1>
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</section>
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</section>
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<section>
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<section>
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<h2>Batch Processing</h2>
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<pre><code>
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cat /var/log/messages | grep sync | cut -d\ -f 1 | sort | uniq
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</code></pre>
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</section>
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<section>
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<h2>Batch Processing</h2>
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<pre><code>
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v5 2017-10-17T11:09:59+00:00 7695w 27695w
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1462530548 ha 1441740010 servico.clubeportoseguro.com.br
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0.064 GET BYPASS 200 - 200 1199 http
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/api/produto - -
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application/json; charset=utf-8 HTTP/1.1
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230 1205 0.047 0.064 0.064 8000
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200.230.226.125 17759 - - - - -
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- - Jakarta Commons-HttpClient/3.1 - - -
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</code></pre>
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<aside class="notes">
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Esse é uma linha de exemplo dos nossos logs.
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Um dos nossos serviços, o Monkeys Collect, captura pacotes de
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2000 dessas linhas e coloca no Kafka.
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</aside>
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</section>
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<section>
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<h2>Batch Processing</h2>
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<ul>
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<li>Campos são nomeados</li>
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<li>É verificado o status do cache (hit, miss, updating, bypass)</li>
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<li>É calculado a banda utilizada (do usuário pra edge, da edge pra origem, da origem de volta pra edge, e da edge pro usuário)</li>
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<li>Dados são agrupados por cliente, produto e janela de tempo</li>
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</ul>
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</section>
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<section>
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<h2>Batch Processing</h2>
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<pre><code>
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#!/usr/bin/env python
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# -*- encoding: utf-8 -*-o
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import collections
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def default_data():
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return {
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'requests': 0,
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'user_to_edge': 0,
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'edge_to_origin': 0,
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'origin_to_edge': 0,
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'edge_to_user': 0,
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'client': '',
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'time': ''
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}
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def to_bytes(string):
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value = 0
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for val1 in string.split(','):
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for val2 in val1.split(':'):
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if val2 != '-':
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value += int(val2)
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return value
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def main():
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clients = collections.defaultdict(default_data)
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with open('v5sample1.log') as content:
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for line in content:
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line = line.split('\t')
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time = line[1]
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client_id = line[2]
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client = client_id + time[:16]
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upstream_cache_status = line[10].lower()
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upstream_bytes_received = to_bytes(line[14])
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request_length = to_bytes(line[21])
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bytes_sent = to_bytes(line[22])
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clients[client]['requests'] += 1
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clients[client]['user_to_edge'] += request_length
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clients[client]['edge_to_origin'] += request_length \
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if upstream_cache_status not in ['hit', 'updating'] \
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else 0
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clients[client]['origin_to_edge'] += upstream_bytes_received
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clients[client]['edge_to_user'] += bytes_sent
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clients[client]['client'] = client_id
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clients[client]['time'] = 'at11_{min}'.format(min=time[14:16])
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if __name__ == "__main__":
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main()
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</code></pre>
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</section>
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<section>
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<h2>Batch Processing</h2>
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<p>Ou seja, se pegássemos cada arquivo e processássemos
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linha por linha, teríamos um batch processing.</p>
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</section>
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<section>
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<h2>Batch Processing</h2>
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<p>Problemas:</p>
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<ul>
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<li class="fragment">Os logs não param.</li>
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<li class="fragment">São ~25 arquivos/segundo gerados pela CDN. <span class="fragment">(Só HTTP)</span></li>
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<li class="fragment">Cada arquivo é de uma máquina, não o agregado geral.</li>
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<li class="fragment">"Event time" vs "Processing Time"</li>
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</ul>
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</section>
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</section>
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<section>
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<section>
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<h2>"Os logs não param"</h2>
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<img src="_images/unclephil-nonstop.gif" height="200px" style="float:right" alt="The logs never stop"/>
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<p class="fragment">Kafka</p>
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<img class="fragment" src="_images/unclephil-kafka.png" alt="A simple representation of Kafka" />
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</section>
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<section>
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<p>"São ~25 arquivos/segundo gerados pela CDN."</p>
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<p>"Cada arquivo é de uma máquina, não o agregado geral."</p>
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<img class="fragment" src="_images/unclephil-victory.gif" alt="Kafka provides solution for those two too" />
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</section>
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<section>
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<p>Se estamos processando os logs continuamente...</p>
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<img class="fragment" src="_images/unclephil-continuous.gif" alt="" />
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<h2 class="fragment">STREAM PROCESSING!</h2>
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</section>
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</section>
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<section>
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<section>
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<h2>"Event time" vs "Processing Time"</h2>
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<img src="_images/unclephil-time.jpg" height="300px" alt="Taking about Event time vs Processing Time"/>
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</section>
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<section>
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<h2>"Event time" vs "Processing Time"</h2>
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<ul>
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<li class="fragment">Cada máquina está gerando logs no seu ritmo (máquinas menos acessadas geral logs mais devagar)</li>
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<li class="fragment">Monkeys collect aguarda ter ~2000 linhas para enviar para o Kafka</li>
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<li class="fragment">Mensagens tem que chegar ao Kafka e então serem processadas</li>
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<li class="fragment"><code>v5 2017-10-17T11:09:59+00:00</code></li>
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</ul>
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</section>
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<section>
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<h2>"Event time" vs "Processing Time"</h2>
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<p>Processing time: A hora que o evento foi <i>processado</i>.</p>
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<p>Event time: A hora que o event foi <i>gerado</i>.</p>
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</section>
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</section>
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<section>
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<section>
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<h2>Flink</h2>
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<img src="_images/unclephil-kafkaflink.png" alt="A representation of flink consuming kafka events"/>
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</section>
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<section>
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<h2>Flink</h2>
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<ul>
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<li>Window: janela de tempo, com um período definido (1h, 1min).</li>
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<li>Watermark: tempo a partir da criação da janela para começar a despejar os dados.</li>
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<li>Lateness: tempo em que a janela permanece em memória.</li>
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<li>Late arrivals: eventos que surgem depois que a janela foi removida.</li>
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</ul>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step0.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step1.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step2.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step3.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step4.png" alt=""/>
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<img class="fragment" src="_images/unclephil-out.gif" alt="" style="float:right" width="240px"/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step5.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step6.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step7.png" alt=""/>
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<p class="fragment" style="float:right">
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<img src="_images/unclephil-out.gif" width="240px" alt=""/>
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<br/>
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<img src="_images/unclephil-out.gif" width="240px" alt=""/>
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</p>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step8.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step9.png" alt=""/>
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</section>
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<section data-transition="fade">
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<h2>Flink</h2>
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<img src="_images/unclephil-step10.png" alt=""/>
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</section>
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<section>
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<h2>Flink</h2>
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<p>"One more thing..."</p>
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<img src="_images/unclephil-onemorething.jpg" alt=""/>
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</section>
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<section>
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<h2>Flink</h2>
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<p>
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Quando os registros são passados para a janela, eles são
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agrupados (ao invés de conter todos os registros que se
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encaixam na janela, somente os valores agrupados
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são guardados).
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</p>
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</section>
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</section>
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<section>
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<section>
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<h2>Mr Banks</h2>
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<img src="_images/unclephil-mrbanks.gif" alt=""/>
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</section>
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<section>
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<h2>Mr Banks</h2>
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<pre><code>source
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.filter(new Selector(processor)).name(s"Selecting ${processor * 100}% messages")
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.process(new ProcessMessages(brokenMessageTag)).name("Message Processor")
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.flatMap(new MessageSpliter).name("Get Logs") // get the lines in the message
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.filter(new LogBrokenFilter).name("Remove broken logs")
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.filter(new MissingClientFilter).name("Remove logs without clients")
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.flatMap(new MetricExtractor).name("Create metrics")
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.assignTimestampsAndWatermarks(new MetricTimestampAndWatermarks(watermarkTime)).name("Watermark")
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.keyBy(_.key)
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.window(TumblingEventTimeWindows.of(windowTime))
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.allowedLateness(latenessTime)
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.sideOutputLateData(lateMessageTag)
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.reduce(new MetricReducer(), new MetricWindowTimeMatcher()).name("Group metrics")
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</code></pre>
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</section>
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<section>
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<h2>Mr Banks</h2>
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<pre><code>.filter(new Selector(processor)).name(s"Selecting ${processor * 100}% messages")</code></pre>
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</section>
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<section>
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<h2>Mr Banks</h2>
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<pre><code>.process(new ProcessMessages(brokenMessageTag)).name("Message Processor")</code></pre>
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</section>
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<section>
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<h2>Mr Banks</h2>
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<pre><code>.flatMap(new MessageSpliter).name("Get Logs")</code></pre>
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</section>
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<section>
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|
<h2>Mr Banks</h2>
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<pre><code>.filter(new LogBrokenFilter).name("Remove broken logs")</code></pre>
|
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</section>
|
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<section>
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|
|
<h2>Mr Banks</h2>
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<pre><code>.filter(new MissingClientFilter).name("Remove logs without clients")</code></pre>
|
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|
|
</section>
|
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|
<section>
|
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|
|
<h2>Mr Banks</h2>
|
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|
|
|
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|
|
<pre><code>.flatMap(new MetricExtractor).name("Create metrics")</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
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|
|
|
<pre><code>.assignTimestampsAndWatermarks(new MetricTimestampAndWatermarks(watermarkTime)).name("Watermark")</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<pre><code>.keyBy(_.key)</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<pre><code>.window(TumblingEventTimeWindows.of(windowTime))</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<pre><code>.allowedLateness(latenessTime)</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<pre><code>.sideOutputLateData(lateMessageTag)</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<pre><code>.reduce(new MetricReducer(), new MetricWindowTimeMatcher()).name("Group metrics")</code></pre>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<img src="_images/unclephil-flinkpipeline.png" alt=""/>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section>
|
|
|
|
|
<h2>Mr Banks</h2>
|
|
|
|
|
|
|
|
|
|
<img src="_images/unclephil-flinkpipelinereal.png" alt=""/>
|
|
|
|
|
</section>
|
|
|
|
|
</section>
|
|
|
|
|
|
|
|
|
|
<section data-background='_images/thats-all-folks.jpg'>
|
|
|
|
|
<section>
|
|
|
|
|
<h1 class="fragment semi-opaque">Perguntas?</h1>
|
|
|
|
|
</section>
|
|
|
|
|
</section>
|
|
|
|
|
</div>
|
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
<script src="reveal.js/lib/js/head.min.js"></script>
|
|
|
|
|
<script src="reveal.js/js/reveal.js"></script>
|
|
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|
|
|
|
|
|
|
<script>
|
|
|
|
|
// Full list of configuration options available at:
|
|
|
|
|
// https://github.com/hakimel/reveal.js#configuration
|
|
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|
Reveal.initialize({
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|
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|
controls: true,
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progress: true,
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|
history: true,
|
|
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|
|
center: true,
|
|
|
|
|
// showNotes: true,
|
|
|
|
|
|
|
|
|
|
transition: 'slide', // none/fade/slide/convex/concave/zoom
|
|
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|
|
|
// Optional reveal.js plugins
|
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dependencies: [
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{ src: 'reveal.js/lib/js/classList.js', condition: function() { return !document.body.classList; } },
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{ src: 'reveal.js/plugin/markdown/marked.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
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{ src: 'reveal.js/plugin/markdown/markdown.js', condition: function() { return !!document.querySelector( '[data-markdown]' ); } },
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{ src: 'reveal.js/plugin/highlight/highlight.js', async: true, callback: function() { hljs.initHighlightingOnLoad(); } },
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{ src: 'reveal.js/plugin/zoom-js/zoom.js', async: true },
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{ src: 'reveal.js/plugin/notes/notes.js', async: true }
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]
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</body>
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</html>
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