Elasticsearch - A hands-on introduction

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Elasticsearch - A hands-on introduction Alexander Reelsen Community Advocate alex@elastic.co | @spinscale

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Agenda What is the Elastic Stack Elasticsearch introduction Elasticsearch practical demo Integrating Elasticsearch into your application

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Product Overview

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Solutions on top of the Elastic Stack

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Elastic Stack building & lego blocks

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Deployment options

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Licensing

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Elastic Stack building & lego blocks

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Elasticsearch in 10 seconds Search Engine (FTS, Analytics, Geo), near real-time Distributed, scalable, highly available, resilient Interface: HTTP & JSON Heart of the Elastic Stack (Kibana, Logstash, Beats)

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Installation & Start # https://www.elastic.co/downloads/elasticsearch wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-darwin-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-linux-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-windows-x86_64.zip tar zxf elasticsearch-7.7.0-darwin-x86_64.tar.gz cd elasticsearch-7.7.0 ./bin/elasticsearch wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-darwin-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-linux-x86_64.tar.gz # wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-windows-x86_64.zip tar zxf kibana-7.7.0-darwin-x86_64.tar.gz cd kibana-7.7.0 ./bin/kibana Point your browser to http://localhost:5601/

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Click Dev-Tools Samples in Kibana Samples in Github

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Demo

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Indexing, Mapping & Enrichment Index API Bulk API Put Mapping API Datatypes Enrichment

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Document search & Aggregations Query DSL Search API Aggregations

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Administration tasks Snapshot and restore Reindexing ILM Monitoring Frozen Indices Securing a cluster

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Elasticsearch Clients Not just glorified HTTP clients Retry after failure Sniﬃng Bulk helpers Java, JavaScript, Ruby, Go, .NET, PHP, Perl, Python, Rust

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Elasticsearch is distributed! Scaling reads, scaling writes, ensuring high availibility Run as single node or hundreds of nodes together Users should never care if they query/index against a small or big cluster Add a new node, Elasticsearch will balance data & queries automatically Specialized roles (master, data, ingest, ml, voting only) Orchestration becomes more important as use-case clusters might be easier to maintain & upgrade than the one big cluster

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More, more, more… More Queries, aggregations & data types Text analysis (phonetic search, search as you type) ILM, rollup, transform, frozen indices Security Alerting SQL Machine Learning Stack Monitoring Major version upgrades & deprecations Solutions (Observability, Enterprise Search, Security)