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Elastic Stack: from Search to Analytics (or how the magic works) Thiago Souza Sr. Product Marketing Engineer thiago@elastic.co

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2 Um pouco sobre mim... • +15 anos de experiência com TI • Ex-Cortexiano (onde comecei a trabalhar com Elasticsearch) • Ex-Support Engineer @ Elastic • Product Marketing Engineer @ Elastic

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3 340,000+ Community Members 765M+ Product Downloads 8,000+ Subscription Customers Statistics since 2012, founding of Elastic

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Tech Finance Telco Consumer 4 Enterprise Customers in Every Industry

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5 Elasticsearch is an Open Source (Apache 2), Distributed, RESTful, Search Engine built on top of Lucene. http://www.elasticsearch.org - 2011

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6 Apache LuceneTM is a high-performance, full-featured text search engine library written entirely in Java. https://lucene.apache.org/core

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7 • Full-featured text search engine • Library written entirely in Java. ‒ Uma biblioteca Java off-line, acessada localmente. Elastic: from Search to Analytics Apache Lucene Id Texto Ids Termo 1 Amanhã vai chover no Rio de Janeiro 1 amanha 2 Rio de Janeiro tem muita praia! 1 chov 2 praia 1,2 rio ... Inverted Index

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8 Elastic: from Search to Analytics Apache Lucene Amanhã vai chover no Rio de Janeiro Analyzer Term (Token) amanha vai chov rio janeiro

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9 Elastic: from Search to Analytics Apache Lucene Amanhã vai chover no Rio de Janeiro Analyzer Term (Token) amanha vai chov rio janeiro Char Filter Tokenizer Token Filter 0 ... n 1 0 ... n Lucene Analyzer Pipeline

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10 Lucene Index Elastic: from Search to Analytics Apache Lucene Documentos query: Amanhã chove no Rio A N A L Y Z E R id term 1,2,5,9,... term1 2,5,8,9,... term2 term amanha chov rio Documentos + Similarity Function score(query, doc, corpus) >= 0 TF-IDF BM25 etc ...

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11 Elasticsearch is an Open Source (Apache 2), Distributed, RESTful, Search Engine built on top of Lucene. http://www.elasticsearch.org - 2011

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12 Elastic: from Search to Analytics Elasticsearch $ curl -XPOST 'localhost:9200/twitter/tweet/' -d '{ "user" : "kimchy", "post_date" : "2009-11-15T14:12:12", "message" : "trying out Elasticsearch" }' HTTP + JSON

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13 Elastic: from Search to Analytics Elasticsearch • Index Sharding ‒ Divide os dados em N partições. ‒ Escalabilidade de Escrita. Index configurado com 3 shards e 1 réplica primário réplica Total 6 shards • Shard Replication ‒ Copia os dados em N partições. ‒ Escalabilidade de Leitura.

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14 Elastic: from Search to Analytics Elasticsearch node 1

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15 node 2 node 1 Elastic: from Search to Analytics Elasticsearch

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16 node 2 node 1 Elastic: from Search to Analytics Elasticsearch node 3

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17 node 2 node 1 Elastic: from Search to Analytics Elasticsearch node 3 node 4

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18 Elastic: from Search to Analytics Processamento Distribuído Coordinating Node Data Node Data Node Data Node query query partial results full (merged) results parallel execution Client

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19 Elastic: from Search to Analytics Elasticsearch: v0.90.0 (2013) • Highly Available Distributed Search • RESTful API • Full Text Search • Multifaceted Search • Schemaless? (Schema-easy/lazy!)

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Elastic Stack Store, Search, & Analyze Elasticsearch Visualize & Manage Kibana Beats Ingest Logstash Metrics Logging APM Site Search Application Search Business Analytics Enterprise Search Security Analytics Future Solutions SaaS Elastic Cloud Self Managed Elastic Cloud Enterprise Standalone Deployment

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21 Elastic: from Search to Analytics Elasticsearch Aggregations • Generalização do Facets para framework de agregações • Facets => Terms Aggregations • Outras Agregações: Mínimo, Máximo, Histograma, Média, Desvio Padrão, etc... • Lucene é também um storage orientado à coluna (i.e. Column Store)

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22 Elastic: from Search to Analytics Column-Oriented Storage Row-Oriented Storage Column-Oriented Storage id Nome Idade Peso id Nome Idade Peso 1 João 34 81 1 João 34 81 X 2 Maria 51 65 2 Maria 51 65 3 José 53 76 3 José 53 76 Agregações mais rápidas AVG(Idade) = 46 SUM(Peso) = 222 https://www.elastic.co/blog/elasticsearch-as-a-column-store

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23 Elastic: from Search to Analytics Elasticsearch Aggregations • Buckets Aggregations: Agrupa documentos em buckets, segundo algum critério. Exemplos: ‒ Histogram/Date Histogram ‒ Terms/Significant Terms ‒ Range ‒ GeoHash Grid ‒ etc... • Metrics Aggregations: Calcula métricas de documentos agrupados em buckets. Exemplos: ‒ Mínimo, Máximo, Média, etc… ‒ Percentis ‒ Geo Bounds/Geo Centroids ‒ Scripted ‒ etc... • Pipeline Aggregations: Agrega os valores de saída de outras agregações. Exemplos: ‒ Média Móvel ‒ Mínimo, Máximo, Média, etc... ‒ Percentis ‒ Soma Acumulativa ‒ etc...

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24 Elastic: from Search to Analytics Elasticsearch Aggregations Log Acesso Website COUNT(*) = 3526 AVG(size) = 432.47 TERMS(browser) FIREFOX CHROME SAFARI COUNT(*) = 1492 MAX(version) = 1881 COUNT(*) = 1232 MAX(version) = 310 COUNT(*) = 802 MAX(version) = 9 ACCESS_LOG timestamp: datetime size: integer browser: string version: integer DATE_HISTOGRAM(hour, timestamp) ... DATE_HISTOGRAM(hour, timestamp) ... DATE_HISTOGRAM(hour, timestamp) ...

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25 Elastic: from Search to Analytics Pipeline Aggregations Log Acesso Website COUNT(*) = 3526 AVG(size) = 432.47 TERMS(browser) FIREFOX CHROME SAFARI COUNT(*) = 1492 MAX(version) = 1881 COUNT(*) = 1232 MAX(version) = 310 COUNT(*) = 802 MAX(version) = 9 MAX(COUNT(*)) = 1492 ACCESS_LOG timestamp: datetime size: integer browser: string version: integer DATE_HISTOGRAM(hour, timestamp) ... DATE_HISTOGRAM(hour, timestamp) ... DATE_HISTOGRAM(hour, timestamp) ...

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26 Elastic: from Search to Analytics Geo Point Indexing (Bkd-Tree)

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27 Elastic: from Search to Analytics Geo Point Indexing (Bkd-Tree) term postings (doc ids) 1 1, 2, 3, 4, 5 10 1, 2, 4 11 3, 5 100 1 101 2, 4 111 3, 5 1000 2 1010 4 1011 3 1110 3 1111 5

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28 Elastic: from Search to Analytics Kibana: Dashboards & Visualizations

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Obrigado! ● Web : www.elastic.co ● Products : https://www.elastic.co/products ● Forums : https://discuss.elastic.co/ ● Community : https://www.elastic.co/community/meetups ● Twitter : @elastic ela.st/contributor-br