Elasticsearch
A presentation at BBL Banque Nationale du Canada (Private Event) in in Montreal, QC, Canada by David Pilato
Elastic Stack Overview The world’s most popular enterprise products for real-time search, logging, analytics, and more
Who? $ curl http://localhost:9200/speaker/_doc/dpilato { “nom” : “David Pilato”, “jobs” : [ { “boite” : “SRA Europe (SSII)”, “mission” : “bon à tout faire”, “date” : “1995” }, { “boite” : “SFR”, “mission” : “touche à tout”, “date” : “1997” }, { “boite” : “e-Brands / Vivendi”, “mission” : “chef de projets”, “date”: “2000” }, { “boite” : “DGDDI (douane)”, “mission” : “mouton à 5 pattes”, “date” : “2005” }, { “boite” : “IDEO Technologies”, “mission” : “CTO”, “date” : “2012” }, { “boite” : “elastic”, “mission” : “développeur”, “date” : “2013” } ], “passions” : [ “famille”, “job”, “deejay” ], “blog” : “http://david.pilato.fr/”, “twitter” : [ “@dadoonet”, “@elasticfr” ], “email” : “david@pilato.fr” } 2
Elastic Stack SOLUTIONS Elastic Stack Kibana Visualize & Manage Elasticsearch Store, Search, & Analyze Beats APM Logstash SaaS Elastic Cloud SELF-MANAGED Elastic Cloud Enterprise Standalone Ingest
FILEBEAT MASTER (3) METRICBEA T PACKETBEAT WINGLOBEAT AUDITBEAT HEARTBEAT CUSTOM UI INGEST (X) Coordinating (X) DATA - HOT (X) FUNCTION BEAT KAFKA ELASTICSEARCH CLIENTS DATA - WARM (X) REDIS DATA STORE SOCIAL 4 WEB APIS SENSORS MESSAGING QUEUE WORKERS (2+) ALERTING (X) MACHINE LEARNING (2+) INSTANCES (X)
5 https://www.elastic.co/fr/subscriptions
Services at a Glance Elastic Training Certification • Immersive learning experience • Performance-based exam • Solution-based curriculum • Solve real-world tasks, in realtime • Flexible ways-to-train • Remote, secure testing People Strategy 6 Elastic Consulting • Expert services focused on your business goals • Phased-based packages • Product expertise Project Strategy
Elastic Training Montréal / Canada Course offerings Elasticsearch Engineer I: Apr 6-7 IMMERSIVE LEARNING SOLUTION-BASED Elasticsearch Engineer II: Apr 8-9 ENVIRONMENT CURRICULUM Lab-based exercises to help master Real-world examples and common new skills use cases EXPERIENCED PERFORMANCE-BASED INSTRUCTORS CERTIFICATION Expertly trained and deeply rooted in Apply skills to real-world use cases, in everything Elastic real-time Who should attend? Software Developers, Engineers, Data Architects, System Administrators, DevOps What will I learn? ● How to manage deployments and develop solutions. ● Advanced cluster management techniques, best practices for capacity planning and scaling, and more. 50% discount on the 2nd seat
Demo time! 9
Elastic Cloud on Kubernetes The official Operator (and more) for Elasticsearch and Kibana
Ne w Elasticsearch SIEM solution available for free in 7. 2
A typical search implementation… CREATE TABLE user ( name VARCHAR(100), comments VARCHAR(1000) ); INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INSERT INTO user VALUES (‘Malloum Laya’, ‘Worked with David at french customs service’); INSERT INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INSERT INTO user VALUES (‘David David’, ‘Who is that guy?’); David 13
Search on term INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name=”David”; Empty set (0,00 sec) David 14
Search like INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+———————————+ David 15
Search for terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David Pilato%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | +———————+———————————+ David Pilato 16
Search with inverted terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%Pilato David%”; Empty set (0,00 sec) SELECT * FROM user WHERE name LIKE “%Pilato%David%”; Empty set (0,00 sec) Pilato David 17
Search for terms INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%” AND name LIKE “%Pilato%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | +———————+———————————+ Pilato David 18
Search in two fields INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%David%” OR comments LIKE “%David%”; +———————+——————————————————————-+ | name | comments | +———————+——————————————————————-+ | David Pilato | Developer at elastic | | Malloum Laya | Worked with David at french customs service | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+——————————————————————-+ David 19
Search with typos INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%Dadid%”; Empty set (0,00 sec) Dadid 21
Search with typos INSERT INSERT french INSERT INSERT INTO user VALUES (‘David Pilato’, ‘Developer at elastic’); INTO user VALUES (‘Malloum Laya’, ‘Worked with David at customs service’); INTO user VALUES (‘David Gageot’, ‘Engineer at Google’); INTO user VALUES (‘David David’, ‘Who is that guy?’); SELECT * FROM user WHERE name LIKE “%adid%” OR name LIKE “%D_did%” OR name LIKE “%Da_id%” OR name LIKE “%Dad_d%” OR name LIKE “%Dadi%”; +———————+———————————+ | name | comments | +———————+———————————+ | David Pilato | Developer at elastic | | David Gageot | Engineer at Google | | David David | Who is that guy? | +———————+———————————+ 22
User Interface 24
Search engine? Moteur d’indexation de documents Moteur de recherche dans les index 25
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#ElasticStories
Elastic Training Montréal / Canada Course offerings Elasticsearch Engineer I: Apr 6-7 IMMERSIVE LEARNING SOLUTION-BASED Elasticsearch Engineer II: Apr 8-9 ENVIRONMENT CURRICULUM Lab-based exercises to help master Real-world examples and common new skills use cases EXPERIENCED PERFORMANCE-BASED INSTRUCTORS CERTIFICATION Expertly trained and deeply rooted in Apply skills to real-world use cases, in everything Elastic real-time Who should attend? Software Developers, Engineers, Data Architects, System Administrators, DevOps What will I learn? ● How to manage deployments and develop solutions. ● Advanced cluster management techniques, best practices for capacity planning and scaling, and more. 50% discount on the 2nd seat
elasticfr @elasticfr discuss.elastic.co
Vous utilisez encore des requêtes SQL pour faire des recherches ? Vos utilisateurs vous reprochent de ne pas pouvoir chercher sur toutes les rubriques ? Votre temps de réponse moyen est supérieur à la demi-seconde avec seulement quelques millions de documents ? Il vous faut 3 jours pour produire des statistiques sur vos données ? Vous rêvez d’offrir une recherche “à la google” sur les données de votre SI ?
Ne cherchez plus ! Cette conférence est faite pour vous.
David présentera au cours du déjeuner pourquoi et comment il est passé de la recherche SQL à Elasticsearch en détaillant les apports de ce moteur par rapport à une solution pure Lucene :
- Pourquoi Elasticsearch ?
- L’indexation
- La recherche
- Les agrégations et le principe de navigation par facettes
- La scalabilité horizontale
- La communauté
Video
Resources
The following resources were mentioned during the presentation or are useful additional information.
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One Million Tweet Map project
The Tweet Map project
Code
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