Codemotion, profile picture
Uploaded byCodemotion
PDF, PPTX1,785 views

ElasticSearch in action

Elasticsearch is a full-text search engine and NoSQL analytics database built on Java and Lucene that supports real-time data processing and schema-less indexing. It offers RESTful APIs and features like inverted indices for enhanced search performance, and supports a variety of query types and mapping options for user-defined schemas. The document also covers specific operations, such as data insertion, mapping, and examples of various search and aggregation queries.

Embed presentation

Download as PDF, PPTX
Elasticsearch in action By Thijs Feryn
Explain in 1 slide
•Full-text search engine •NoSQL database •Analytics engine •Written in Java •Lucene based ( ~Solr) •Inverted indices •Easy to scale (~Elastic) •RESTFul interface (HTTP/JSON) •Schemaless •Real-time •ELK stack
Still with me?
Hi, I’m Thijs
I’m @ThijsFeryn on Twitter
I’m an Evangelist At
I’m a at board member
https://www.elastic.co/ downloads/elasticsearch
{ "name" : "node-1", "cluster_name" : "elasticsearch", "version" : { "number" : "2.2.0", "build_hash" : "8ff36d139e16f8720f2947ef62c8167a888992fe", "build_timestamp" : "2016-01-27T13:32:39Z", "build_snapshot" : false, "lucene_version" : "5.4.1" }, "tagline" : "You Know, for Search" } http://localhost: 9200
RDBMS Elasticsearch Database Table Row Index Type Document
POST /blog {"acknowledged":true} Confirmation
POST/blog/post/6160 { "language": "en-US", "title": "WordPress 4.4 is available! And these are the new features…", "date": "Tue, 15 Dec 2015 13:28:23 +0000", "author": "Romy", "category": [ "News", "PHP", "Sector news", "Webdesign & development", "CMS", "content management system", "wordpress", "WordPress 4.4" ], "guid": "6160" }
{ "_index": "blog", "_type": "post", "_id": "6160", "_version": 1, "created": true } Confirmation
GET /blog/post/6160 { "_index": "blog", "_type": "post", "_id": "6160", "_version": 1, "found": true, "_source": { "language": "en-US", "title": "WordPress 4.4 is available! And these are the new features…", "date": "Tue, 15 Dec 2015 13:28:23 +0000", "author": "Romy", "category": [ "News", "PHP", "Sector news", "Webdesign & development", "CMS", "content management system", "wordpress", "WordPress 4.4" ], "guid": "6160" } } Retrieve document by id Document & meta data
GET /blog/_mapping { "blog": { "mappings": { "post": { "properties": { "author": { "type": "string" }, "category": { "type": "string" }, "date": { "type": "string" }, "guid": { "type": "string" }, "language": { "type": "string" }, "title": { "type": "string" } } } } } } Schemaless? Not really … “Guesses” mapping on insert
Explicit mapping
POST /blog { "mappings" : { "post" : { "properties": { "title" : { "type" : "string" }, "date" : { "type" : "date", "format": "E, dd MMM YYYY HH:mm:ss Z" }, "author": { "type": "string" }, "category": { "type": "string" }, "guid": { "type": "integer" } } } } } Explicit mapping at index creation time
POST /blog { "mappings": { "post": { "properties": { "author": { "type": "string", "index": "not_analyzed" }, "category": { "type": "string", "index": "not_analyzed" }, "date": { "type": "date", "format": "E, dd MMM YYYY HH:mm:ss Z" }, "guid": { "type": "integer" }, "language": { "type": "string", "index": "not_analyzed" }, "title": { "type": "string", "fields": { "en": { "type": "string", "analyzer": "english" }, "nl": { "type": "string", "analyzer": "dutch" }, "raw": { "type": "string", "index": "not_analyzed" } } } } } } } Alternative mapping
"type": "integer" }, "language": { "type": "string", "index": "not_analyzed" }, "title": { "type": "string", "fields": { "en": { "type": "string", "analyzer": "english" }, "nl": { "type": "string", "analyzer": "dutch" }, "raw": { "type": "string", "index": "not_analyzed" } } } } } } } What’s with the analyzers?
Analyzed vs non-analyzed
Full-text vs exact value
By default strings are analyzed … unless you mention it in the mapping
Analyzer •Character filters •Tokenizers •Token filters Replaces characters for analyzed text Break text down into terms Add/modify/ delete tokens
Built-in analyzers •Standard •Simple •Whitespace •Stop •Keyword •Pattern •Language •Snowball •Custom Standard tokenizer Lowercase token filter English stop word token filter
Hey man, how are you doing? hey man how are you doing Standard Hey man, how are you doing? Whitespace hei man how you do English
POST /blog/post/_search { "fields": ["title"], "query": { "match": { "title": "working" } } }
"total": 1, "max_score": 1.7562683, "hits": [ { "_index": "blog", "_type": "post", "_id": "2742", "_score": 1.7562683, "fields": { "title": [ "Hosted SharePoint 2010: working efficiently as a team" ] } } ] } }
POST /blog/post/_search { "fields": ["title"], "query": { "match": { "title.en": "working" } } }
"failed": 0 }, "hits": { "total": 6, "max_score": 2.4509864, "hits": [ { "_index": "blog", "_type": "post", "_id": "828", "_score": 2.4509864, "fields": { "title": [ "Still a lot of work in store" ] } }, { "_index": "blog", "_type": "post", "_id": "3873", "_score": 2.144613, "fields": { "title": [ "SSL: what is it and how does it work?" ] } }, { "_index": "blog",
Search
GET /blog/post/_search?pretty { "took": 2, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 963, "max_score": 1, "hits": [ { "_index": "blog", "_type": "post", "_id": "6067", "_score": 1, "_source": { "language": "en-US", "title": "My Combell Power Tips: Registrant Templates and new domain name overview", "date": "Tue, 24 Nov 2015 15:58:48 +0000", "author": "Romy", "category": [ "Combell news", "Domain names", "News", "Tools", "control panel", "domain name", "my combell", "register", "templates" ], "guid": "6067"
GET /blog/post/_search?pretty POST /blog/post/_search?pretty { "query": { "match_all": {} } } Search “lite” vs full query DSL
GET /blog/post/_search?pretty&q=title:Thijs POST /products/product/_search?pretty { "query": { "match": { "title": "Thijs" } } } Search “lite” vs full query DSL
POST /blog/post/_count { "query": { "match": { "title": "PROXY protocol support in Varnish" } } } 162 posts 1 postPOST /blog/post/_count { "query": { "filtered": { "filter": { "term": { "title.raw": "PROXY protocol support in Varnish" } } } } }
Filter vs Query
Filter •Does it match? Yes or no •When relevance doesn’t matter •Faster & cacheable •For non-analyzed data Query •How well does it match? •For full-text search •On analyzed/tokenized data
Match Query Multi Match Query Bool Query Boosting Query Common Terms Query Constant Score Query Dis Max Query Filtered Query Fuzzy Like This Query Fuzzy Like This Field Query Function Score Query Fuzzy Query GeoShape Query Has Child Query Has Parent Query Ids Query Indices Query Match All Query More Like This Query Nested Query Prefix Query Query String Query Simple Query String Query Range Query Regexp Query Span First Query Span Multi Term Query Span Near Query Span Not Query Span Or Query Span Term Query Term Query Terms Query Top Children Query Wildcard Query Minimum Should Match Multi Term Query Rewrite Template Query
And Filter Bool Filter Exists Filter Geo Bounding Box Filter Geo Distance Filter Geo Distance Range Filter Geo Polygon Filter GeoShape Filter Geohash Cell Filter Has Child Filter Has Parent Filter Ids Filter Indices Filter Limit Filter Match All Filter Missing Filter Nested Filter Not Filter Or Filter Prefix Filter Query Filter Range Filter Regexp Filter Script Filter Term Filter Terms Filter Type Filter
Filter examples
POST /blog/post/_search?pretty { "query": { "filtered": { "filter": { "ids": { "values": [231,234,258] } } } } }
POST /blog/_search { "query": { "filtered": { "filter": { "bool": { "must" : [ { "term" : { "language" : "en-US" } }, { "range" : { "date" : { "gte" : "2016-01-01", "format" : "yyyy-MM-dd" } } } ], "must_not" : [ { "term" : { "category" : "joomla" } } ], "should" : [ { "term" : { "category" : "Hosting" } }, { "term" : { "category" : "evangelist" } } ] } } } } }
POST /blog/_search?pretty { "query": { "filtered": { "filter": { "prefix": { "title.raw": "Combell" } } } } }
POST /cities/city/_search { "size": 200, "sort": [ { "city": { "order": "asc" } } ], "query": { "filtered": { "filter": { "geo_distance_range": { "lt": "5km", "location": { "lat": 51.033333, "lon": 2.866667 } } } } } } Requires “geo point” typed field
POST /cities/city/_search { "size": 200, "query": { "filtered": { "query": { "match_all": {} }, "filter": { "geo_bounding_box": { "location": { "bottom_left": { "lat": 51.1, "lon": 2.6 }, "top_right": { "lat": 51.2, "lon": 2.7 } } } } } } } Requires “geo point” typed field Draw a “box”
Relevance
POST /blog/_search { "fields": ["title"], "query": { "bool": { "must": [ { "match": { "title": "varnish thijs" } }, { "filtered": { "filter": { "term": { "language": "en-US" } } } } ] } } }
{ "took": 3, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 8, "max_score": 1.984594, "hits": [ { "_index": "blog", "_type": "post", "_id": "4275", "_score": 1.984594, "fields": { "title": [ "Thijs Feryn gave a demo of Varnish Cache on WordPress during a Future Insights webinar" ] } }, { "_index": "blog", "_type": "post", "_id": "6238", "_score": 0.8335616, "fields": { "title": [ "PROXY protocol support in Varnish" ] } }, { "_index": "blog", Hits both terms. More relevant
POST /blog/_search?_source=false { "query": { "filtered": { "filter": { "term": { "category": "PHPBenelux" } } } } } Using a filter instead of a query We don’t care about the source
{ "took": 3, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 2, "max_score": 1, "hits": [ { "_index": "blog", "_type": "post", "_id": "6254", "_score": 1 }, { "_index": "blog", "_type": "post", "_id": "11749", "_score": 1 } ] } } No relevance on filters Score is always 1
POST /blog/_search { "fields": ["title", "category"], "query": { "bool": { "must": [ { "match": { "title": "thijs feryn" } } ], "should": [ { "match": { "category": "Varnish" } } ] } } } Only search for “thijs feryn” Increase relevance if category contains “Varnish”
POST /blog/_search { "fields": ["title", "category"], "query": { "bool": { "must_not": [ { "filtered": { "filter": { "term": { "author": "Romy" } } } } ], "should": [ { "match": { "category": "Magento" } } ] } } } Increase relevance Combining filters & queries
POST /blog/_search { "query": { "bool": { "should": [ { "match": { "title": { "query": "Magento", "boost" : 3 } } }, { "match": { "title": { "query": "Wordpress", "boost" : 2 } } } ] } } } Increase relevance Query- time boosting
Multi index multi type
/_search /products/_search /products/product/_search /products,clients/_search /pro*/_search /pro*,cli*/_search /products/product,invoice/_search /products/pro*/_search /_all/product/_search /_all/product,invoice/_search /_all/pro*/_search
Multi “all the things”
Aggregations
Group by on steroids
SELECT author, COUNT(guid) FROM blog.post GROUP BY author Aggregations in SQL Metric Bucket
SELECT author, COUNT(guid) FROM blog.post GROUP BY author POST /blog/post/_search? pretty&search_type=count { "aggs": { "popular_bloggers": { "terms": { "field": "author" } } } } Only aggs, no docs
"aggregations": { "popular_bloggers": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "Romy", "doc_count": 415 }, { "key": "Combell", "doc_count": 184 }, { "key": "Tom", "doc_count": 184 }, { "key": "Jimmy Cappaert", "doc_count": 157 }, { "key": "Christophe", "doc_count": 23 } ] } } Aggregation output
POST /blog/_search { "query": { "match": { "title": "varnish" } }, "aggs": { "popular_bloggers": { "terms": { "field": "author", "size": 10 }, "aggs": { "used_languages": { "terms": { "field": "language", "size": 10 } } } } } } Nested multi-group by alongside query
"aggregations": { "popular_bloggers": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "Romy", "doc_count": 4, "used_languages": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "en-US", "doc_count": 3 }, { "key": "nl-NL", "doc_count": 1 } ] } }, { "key": "Combell", "doc_count": 3, "used_languages": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "nl-NL", "doc_count": 3 } ] } }, Aggregation output
Min Aggregation Max Aggregation Sum Aggregation Avg Aggregation Stats Aggregation Extended Stats Aggregation Value Count Aggregation Percentiles Aggregation Percentile Ranks Aggregation Cardinality Aggregation Geo Bounds Aggregation Top hits Aggregation Scripted Metric Aggregation Global Aggregation Filter Aggregation Filters Aggregation Missing Aggregation Nested Aggregation Reverse nested Aggregation Children Aggregation Terms Aggregation Significant Terms Aggregation Range Aggregation Date Range Aggregation IPv4 Range Aggregation Histogram Aggregation Date Histogram Aggregation Geo Distance Aggregation GeoHash grid Aggregation
Managing Elasticsearch
Plenty of ways … for which we don’t have enough time
Clustering
Single node 2 node cluster 3 node cluster
Example config settings node.rack: my-location node.master: true node.data: true http.enabled: true cluster.name: my-cluster node.name: my-node index.number_of_shards: 5 index.number_of_replicas: 1 discovery.zen.minimum_master_nodes: 2
GET /_cat
GET /_cat =^.^= /_cat/allocation /_cat/shards /_cat/shards/{index} /_cat/master /_cat/nodes /_cat/indices /_cat/indices/{index} /_cat/segments /_cat/segments/{index} /_cat/count /_cat/count/{index} /_cat/recovery /_cat/recovery/{index} /_cat/health /_cat/pending_tasks /_cat/aliases /_cat/aliases/{alias} /_cat/thread_pool /_cat/plugins /_cat/fielddata /_cat/fielddata/{fields} Non-JSON output
GET /_cat/shards?v index shard prirep state docs store ip node my-index 2 r STARTED 6 7.2kb 192.168.10.142 node3 my-index 2 p STARTED 6 9.5kb 192.168.10.142 node2 my-index 0 p STARTED 4 7.1kb 192.168.10.142 node3 my-index 0 r STARTED 4 4.8kb 192.168.10.142 node2 my-index 3 r STARTED 5 7.1kb 192.168.10.142 node1 my-index 3 p STARTED 5 7.2kb 192.168.10.142 node3 my-index 1 p STARTED 1 2.4kb 192.168.10.142 node1 my-index 1 r STARTED 1 2.4kb 192.168.10.142 node2 my-index 4 p STARTED 5 9.5kb 192.168.10.142 node1 my-index 4 r STARTED 5 9.4kb 192.168.10.142 node3 5 shards & a single replica by default
GET /_cat/health? v&h=cluster,status,node.total,shards,pri,unassign,init cluster status node.total shards pri unassign init mycluster green 3 12 6 0 0 Cluster health
The ELK stack
Logs Parse & ship Store Visualize
Beats •File beat •Top beat •Packet beat •Winlog beat
Logs Parse Store Visualize Ship
Integrating Elasticsearch
It’s REST, deal with it!
Or just use an API PHP Java Perl PythonRuby.NET
Try it yourself! http://github.com/ thijsferyn/ elasticsearch_tutorial
https://blog.feryn.eu https://talks.feryn.eu https://youtube.com/thijsferyn https://soundcloud.com/thijsferyn https://twitter.com/thijsferyn http://itunes.feryn.eu
ElasticSearch in action

More Related Content

PDF
Workshop: Learning Elasticsearch
byAnurag Patel
 
PDF
Introduction to Elasticsearch
byRuslan Zavacky
 
PPTX
An Introduction to Elastic Search.
byJurriaan Persyn
 
PDF
Your Data, Your Search, ElasticSearch (EURUKO 2011)
byKarel Minarik
 
PDF
Intro to Elasticsearch
byClifford James
 
PDF
Elasticsearch Introduction at BigData meetup
byEric Rodriguez (Hiring in Lex)
 
PPTX
Introduction to Elasticsearch with basics of Lucene
byRahul Jain
 
KEY
Elasticsearch - Devoxx France 2012 - English version
byDavid Pilato
 
Workshop: Learning Elasticsearch
byAnurag Patel
 
Introduction to Elasticsearch
byRuslan Zavacky
 
An Introduction to Elastic Search.
byJurriaan Persyn
 
Your Data, Your Search, ElasticSearch (EURUKO 2011)
byKarel Minarik
 
Intro to Elasticsearch
byClifford James
 
Elasticsearch Introduction at BigData meetup
byEric Rodriguez (Hiring in Lex)
 
Introduction to Elasticsearch with basics of Lucene
byRahul Jain
 
Elasticsearch - Devoxx France 2012 - English version
byDavid Pilato
 

What's hot

PDF
Introduction to Elasticsearch
byJason Austin
 
PDF
Elasticsearch: You know, for search! and more!
byPhilips Kokoh Prasetyo
 
PPT
Solr and Elasticsearch, a performance study
byCharlie Hull
 
PDF
Elasticsearch Basics
byShifa Khan
 
PDF
Managing Your Content with Elasticsearch
bySamantha Quiñones
 
PPTX
ElasticSearch - DevNexus Atlanta - 2014
byRoy Russo
 
PDF
Elasticsearch in 15 minutes
byDavid Pilato
 
ODP
Cool bonsai cool - an introduction to ElasticSearch
byclintongormley
 
PPTX
Intro to elasticsearch
byJoey Wen
 
PDF
Introduction to elasticsearch
bypmanvi
 
PDF
Elasticsearch quick Intro (English)
byFederico Panini
 
PDF
Introduction to Elasticsearch
bySperasoft
 
PPTX
Elasticsearch Introduction
byRoopendra Vishwakarma
 
PPTX
Introduction to Elasticsearch
byBo Andersen
 
PDF
Elasticsearch for Data Analytics
byFelipe
 
ODP
Elastic search
byNexThoughts Technologies
 
PPTX
quick intro to elastic search
bymedcl
 
PPTX
Battle of the Giants - Apache Solr vs. Elasticsearch (ApacheCon)
bySematext Group, Inc.
 
PPTX
Solr vs. Elasticsearch - Case by Case
byAlexandre Rafalovitch
 
PPTX
The ultimate guide for Elasticsearch plugins
byItamar
 
Introduction to Elasticsearch
byJason Austin
 
Elasticsearch: You know, for search! and more!
byPhilips Kokoh Prasetyo
 
Solr and Elasticsearch, a performance study
byCharlie Hull
 
Elasticsearch Basics
byShifa Khan
 
Managing Your Content with Elasticsearch
bySamantha Quiñones
 
ElasticSearch - DevNexus Atlanta - 2014
byRoy Russo
 
Elasticsearch in 15 minutes
byDavid Pilato
 
Cool bonsai cool - an introduction to ElasticSearch
byclintongormley
 
Intro to elasticsearch
byJoey Wen
 
Introduction to elasticsearch
bypmanvi
 
Elasticsearch quick Intro (English)
byFederico Panini
 
Introduction to Elasticsearch
bySperasoft
 
Elasticsearch Introduction
byRoopendra Vishwakarma
 
Introduction to Elasticsearch
byBo Andersen
 
Elasticsearch for Data Analytics
byFelipe
 
Elastic search
byNexThoughts Technologies
 
quick intro to elastic search
bymedcl
 
Battle of the Giants - Apache Solr vs. Elasticsearch (ApacheCon)
bySematext Group, Inc.
 
Solr vs. Elasticsearch - Case by Case
byAlexandre Rafalovitch
 
The ultimate guide for Elasticsearch plugins
byItamar
 

Viewers also liked

PDF
GeoForAll: a successful OSGeo Initiative
byMaria Antonia Brovelli
 
PDF
Agile Project Management: Integrare metodologie di progetto tradizionali con ...
byCodemotion
 
PDF
Come costruire una Platform As A Service con Docker, Kubernetes Go e Java
byCodemotion
 
PDF
Data Exploration with Elasticsearch
byAleksander Stensby
 
PDF
Angular 2: core concepts
byCodemotion
 
PDF
Nobody likes working with you - Luigi G. Valle - Codemotion Milan 2016
byCodemotion
 
PDF
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
bySematext Group, Inc.
 
PDF
Dove sono i tuoi vertici e di cosa stanno parlando?
byCodemotion
 
PDF
Reactive Android: RxJava and beyond - Fabio Tiriticco - Codemotion Amsterdam ...
byCodemotion
 
PDF
Beautiful Authentication - Tiffany Conroy - Codemotion Milan 2016
byCodemotion
 
PPTX
Search on the fly: how to lighten your Big Data - Simona Russo, Auro Rolle - ...
byCodemotion
 
PDF
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
byHortonworks
 
GeoForAll: a successful OSGeo Initiative
byMaria Antonia Brovelli
 
Agile Project Management: Integrare metodologie di progetto tradizionali con ...
byCodemotion
 
Come costruire una Platform As A Service con Docker, Kubernetes Go e Java
byCodemotion
 
Data Exploration with Elasticsearch
byAleksander Stensby
 
Angular 2: core concepts
byCodemotion
 
Nobody likes working with you - Luigi G. Valle - Codemotion Milan 2016
byCodemotion
 
From Zero to Production Hero: Log Analysis with Elasticsearch (from Velocity ...
bySematext Group, Inc.
 
Dove sono i tuoi vertici e di cosa stanno parlando?
byCodemotion
 
Reactive Android: RxJava and beyond - Fabio Tiriticco - Codemotion Amsterdam ...
byCodemotion
 
Beautiful Authentication - Tiffany Conroy - Codemotion Milan 2016
byCodemotion
 
Search on the fly: how to lighten your Big Data - Simona Russo, Auro Rolle - ...
byCodemotion
 
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data
byHortonworks
 

Similar to ElasticSearch in action

PPTX
Elasticsearch a real-time distributed search and analytics engine
bygautam kumar
 
PDF
Introduction to Elasticsearch
byLuiz Messias
 
PPTX
Elasticsearch
byYervand Aghababyan
 
PDF
ElasticSearch
byVolodymyr Kraietskyi
 
PPTX
Elasticsearch
byRicardo Peres
 
PPTX
ElasticSearch for .NET Developers
byBen van Mol
 
PDF
Elasticsearch at EyeEm
byLars Fronius
 
ODP
Elastic Search
byNexThoughts Technologies
 
PDF
Into The Box 2018 cbelasticsearch
byOrtus Solutions, Corp
 
PPTX
Elastic pivorak
byPivorak MeetUp
 
PDF
Использование Elasticsearch для организации поиска по сайту
byOlga Lavrentieva
 
PPTX
Introducing ElasticSearch - Ashish
byEntrepreneur / Startup
 
PDF
Elasticsearch Quick Introduction
byimotov
 
PDF
Hopper Elasticsearch Hackathon
byimotov
 
PDF
Harnessing The Power of Search - Liferay DEVCON 2015, Darmstadt, Germany
byAndré Ricardo Barreto de Oliveira
 
PPTX
Search engine. Elasticsearch
bySelecto
 
PDF
Faster and better search results with Elasticsearch
byEnrico Polesel
 
PPTX
Elasticsearch an overview
byAmit Juneja
 
PPTX
ElasticSearch AJUG 2013
byRoy Russo
 
PDF
Elasticsearch in 15 Minutes
byKarel Minarik
 
Elasticsearch a real-time distributed search and analytics engine
bygautam kumar
 
Introduction to Elasticsearch
byLuiz Messias
 
Elasticsearch
byYervand Aghababyan
 
ElasticSearch
byVolodymyr Kraietskyi
 
Elasticsearch
byRicardo Peres
 
ElasticSearch for .NET Developers
byBen van Mol
 
Elasticsearch at EyeEm
byLars Fronius
 
Elastic Search
byNexThoughts Technologies
 
Into The Box 2018 cbelasticsearch
byOrtus Solutions, Corp
 
Elastic pivorak
byPivorak MeetUp
 
Использование Elasticsearch для организации поиска по сайту
byOlga Lavrentieva
 
Introducing ElasticSearch - Ashish
byEntrepreneur / Startup
 
Elasticsearch Quick Introduction
byimotov
 
Hopper Elasticsearch Hackathon
byimotov
 
Harnessing The Power of Search - Liferay DEVCON 2015, Darmstadt, Germany
byAndré Ricardo Barreto de Oliveira
 
Search engine. Elasticsearch
bySelecto
 
Faster and better search results with Elasticsearch
byEnrico Polesel
 
Elasticsearch an overview
byAmit Juneja
 
ElasticSearch AJUG 2013
byRoy Russo
 
Elasticsearch in 15 Minutes
byKarel Minarik
 

More from Codemotion

PDF
Fuzz-testing: A hacker's approach to making your code more secure | Pascal Ze...
byCodemotion
 
PDF
Pompili - From hero to_zero: The FatalNoise neverending story
byCodemotion
 
PPTX
Pastore - Commodore 65 - La storia
byCodemotion
 
PPTX
Pennisi - Essere Richard Altwasser
byCodemotion
 
PPTX
Michel Schudel - Let's build a blockchain... in 40 minutes! - Codemotion Amst...
byCodemotion
 
PPTX
Richard Süselbeck - Building your own ride share app - Codemotion Amsterdam 2019
byCodemotion
 
PPTX
Eward Driehuis - What we learned from 20.000 attacks - Codemotion Amsterdam 2019
byCodemotion
 
PPTX
Francesco Baldassarri - Deliver Data at Scale - Codemotion Amsterdam 2019 -
byCodemotion
 
PDF
Martin Förtsch, Thomas Endres - Stereoscopic Style Transfer AI - Codemotion A...
byCodemotion
 
PDF
Melanie Rieback, Klaus Kursawe - Blockchain Security: Melting the "Silver Bul...
byCodemotion
 
PDF
Angelo van der Sijpt - How well do you know your network stack? - Codemotion ...
byCodemotion
 
PDF
Lars Wolff - Performance Testing for DevOps in the Cloud - Codemotion Amsterd...
byCodemotion
 
PDF
Sascha Wolter - Conversational AI Demystified - Codemotion Amsterdam 2019
byCodemotion
 
PDF
Michele Tonutti - Scaling is caring - Codemotion Amsterdam 2019
byCodemotion
 
PPTX
Pat Hermens - From 100 to 1,000+ deployments a day - Codemotion Amsterdam 2019
byCodemotion
 
PPTX
James Birnie - Using Many Worlds of Compute Power with Quantum - Codemotion A...
byCodemotion
 
PDF
Don Goodman-Wilson - Chinese food, motor scooters, and open source developmen...
byCodemotion
 
PDF
Pieter Omvlee - The story behind Sketch - Codemotion Amsterdam 2019
byCodemotion
 
PDF
Dave Farley - Taking Back “Software Engineering” - Codemotion Amsterdam 2019
byCodemotion
 
PDF
Joshua Hoffman - Should the CTO be Coding? - Codemotion Amsterdam 2019
byCodemotion
 
Fuzz-testing: A hacker's approach to making your code more secure | Pascal Ze...
byCodemotion
 
Pompili - From hero to_zero: The FatalNoise neverending story
byCodemotion
 
Pastore - Commodore 65 - La storia
byCodemotion
 
Pennisi - Essere Richard Altwasser
byCodemotion
 
Michel Schudel - Let's build a blockchain... in 40 minutes! - Codemotion Amst...
byCodemotion
 
Richard Süselbeck - Building your own ride share app - Codemotion Amsterdam 2019
byCodemotion
 
Eward Driehuis - What we learned from 20.000 attacks - Codemotion Amsterdam 2019
byCodemotion
 
Francesco Baldassarri - Deliver Data at Scale - Codemotion Amsterdam 2019 -
byCodemotion
 
Martin Förtsch, Thomas Endres - Stereoscopic Style Transfer AI - Codemotion A...
byCodemotion
 
Melanie Rieback, Klaus Kursawe - Blockchain Security: Melting the "Silver Bul...
byCodemotion
 
Angelo van der Sijpt - How well do you know your network stack? - Codemotion ...
byCodemotion
 
Lars Wolff - Performance Testing for DevOps in the Cloud - Codemotion Amsterd...
byCodemotion
 
Sascha Wolter - Conversational AI Demystified - Codemotion Amsterdam 2019
byCodemotion
 
Michele Tonutti - Scaling is caring - Codemotion Amsterdam 2019
byCodemotion
 
Pat Hermens - From 100 to 1,000+ deployments a day - Codemotion Amsterdam 2019
byCodemotion
 
James Birnie - Using Many Worlds of Compute Power with Quantum - Codemotion A...
byCodemotion
 
Don Goodman-Wilson - Chinese food, motor scooters, and open source developmen...
byCodemotion
 
Pieter Omvlee - The story behind Sketch - Codemotion Amsterdam 2019
byCodemotion
 
Dave Farley - Taking Back “Software Engineering” - Codemotion Amsterdam 2019
byCodemotion
 
Joshua Hoffman - Should the CTO be Coding? - Codemotion Amsterdam 2019
byCodemotion
 

Recently uploaded

PDF
LMS.Golconda.Vanredni.Broj.001.pdfjjjjjjj
byzoran radovic
 
DOCX
BestMaker.ai: The Complete Brand Story, Founder's Vision, and AI Creative Pla...
byssuser7381d6
 
PPTX
Lesson 3 - Methodology of Green Computing - part2 - dela cruz.pptx
byOmar Fernandez
 
PPTX
Anti-DDoS Service Introduction（Customer Version） - 2025(1).pptx
bybunhongkruy
 
PPTX
Artificial Intelligence (AI) Technology Project Proposal _ by Slidesgo.pptx
byadhyaadi804
 
PPTX
Overview-of-Anti-DDoS-Solutions-On-Premise-vs-On-Cloud.pptx
bybunhongkruy
 
PPTX
SriLank SLT LTE Network Sharing V2.pptx
bynthuang
 
PDF
Here are the winners of KALIDASA SAMMAN.
byglcppro
 
PPTX
tacacstrianingforwirelessnetworkengineers
byRaviTejaTammineni
 
PPTX
Why-Enterprises-Should-Build-Their-Own-Core-Network-and-Own-Their-ASN-and-Pub...
bybunhongkruy
 
PPTX
Number_Guessing_Game_Dsbsbssbzboc[1].pptx
byfbinsta3426
 
PDF
Key Duties and Roles of an Ecommerce Developer Singapore
byHachi Web Solution
 
PPTX
Dalhousie University Diploma
by文凭办理维多利亚大学购买毕业证学位认证知乎【Q微:1954292140】
 
PDF
Beacon Kit slides tech framework for world game (s) pdf
bySteven McGee
 
PPTX
Lesson 5 - Cyber attack Pt 3 - Matsuhashi.pptx
byOmar Fernandez
 
PDF
Novi.LMS.Veseli.Cetvrtak.001 (1).pdfjjjj
byzoran radovic
 
PDF
Greetings All Students Update 3 by LDMMIA
by©LDMMIA, ©Reiki Yoga
 
LMS.Golconda.Vanredni.Broj.001.pdfjjjjjjj
byzoran radovic
 
BestMaker.ai: The Complete Brand Story, Founder's Vision, and AI Creative Pla...
byssuser7381d6
 
Lesson 3 - Methodology of Green Computing - part2 - dela cruz.pptx
byOmar Fernandez
 
Anti-DDoS Service Introduction（Customer Version） - 2025(1).pptx
bybunhongkruy
 
Artificial Intelligence (AI) Technology Project Proposal _ by Slidesgo.pptx
byadhyaadi804
 
Overview-of-Anti-DDoS-Solutions-On-Premise-vs-On-Cloud.pptx
bybunhongkruy
 
SriLank SLT LTE Network Sharing V2.pptx
bynthuang
 
Here are the winners of KALIDASA SAMMAN.
byglcppro
 
tacacstrianingforwirelessnetworkengineers
byRaviTejaTammineni
 
Why-Enterprises-Should-Build-Their-Own-Core-Network-and-Own-Their-ASN-and-Pub...
bybunhongkruy
 
Number_Guessing_Game_Dsbsbssbzboc[1].pptx
byfbinsta3426
 
Key Duties and Roles of an Ecommerce Developer Singapore
byHachi Web Solution
 
Dalhousie University Diploma
by文凭办理维多利亚大学购买毕业证学位认证知乎【Q微:1954292140】
 
Beacon Kit slides tech framework for world game (s) pdf
bySteven McGee
 
Lesson 5 - Cyber attack Pt 3 - Matsuhashi.pptx
byOmar Fernandez
 
Novi.LMS.Veseli.Cetvrtak.001 (1).pdfjjjj
byzoran radovic
 
Greetings All Students Update 3 by LDMMIA
by©LDMMIA, ©Reiki Yoga
 
In this document
Powered by AI

An introduction to Elasticsearch as a full-text search engine, NoSQL database, and analytics tool, supporting real-time search with an easy RESTful interface.

Introduction of the speaker, Thijs Feryn, an Evangelist at Elastic, engaging the audience with personal social media details.

Details about Elasticsearch configuration, supporting JSON formats, and the differences between RDBMS and Elasticsearch data structures.

Explanation of explicit mapping versus dynamic mapping in documents and retrieving documents by ID with metadata.

Highlights the use and importance of analyzers, comparing analyzed vs non-analyzed values, and built-in analyzers for text processing.

Illustrates different search and filter query types in Elasticsearch, including match queries and their implications for relevance scoring.

Discussion on aggregations in Elasticsearch, how they function similarly to SQL with grouped metrics, and nested queries.

Managing Elasticsearch clusters, example settings, and health checks using the _cat API for monitoring and troubleshooting.

Integration options with Elasticsearch, highlighting REST APIs for various programming languages and providing resources for further learning.

ElasticSearch in action