�ݺ�ߣshows by User: clintongormley

�ݺ�ߣshows by User: clintongormley / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: clintongormley / Tue, 27 May 2014 06:45:59 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: clintongormley Elasticsearch Query DSL - Not just for wizards... /slideshow/elasticsearch-query-dsl-not-just-for-wizards/35163410 2014querydslwizard-140527064559-phpapp01
The Elasticsearch Query DSL is a rich, flexible, powerful query language for full text and structured search, but with power comes complexity. Which of the 40 available queries should you use? What's a filter and when should you use it? How do you combine multiple filters, or multiple queries or queries with filters? To most users, "relevance", and how it is affected by different queries, is a black box. Multi-field queries in particular can be difficult to get right if you don't understand how they work. In this talk, I will explain the Query DSL from the ground up: how filters and queries use the inverted index to find matching documents, how the relevance score is calculated, how to combine the filter/query building blocks into complex statements. And finally, I will talk about the pitfalls of multi-field queries and how to avoid them.]]>
The Elasticsearch Query DSL is a rich, flexible, powerful query language for full text and structured search, but with power comes complexity. Which of the 40 available queries should you use? What's a filter and when should you use it? How do you combine multiple filters, or multiple queries or queries with filters? To most users, "relevance", and how it is affected by different queries, is a black box. Multi-field queries in particular can be difficult to get right if you don't understand how they work. In this talk, I will explain the Query DSL from the ground up: how filters and queries use the inverted index to find matching documents, how the relevance score is calculated, how to combine the filter/query building blocks into complex statements. And finally, I will talk about the pitfalls of multi-field queries and how to avoid them.]]> Tue, 27 May 2014 06:45:59 GMT /slideshow/elasticsearch-query-dsl-not-just-for-wizards/35163410 clintongormley@slideshare.net(clintongormley) Elasticsearch Query DSL - Not just for wizards... clintongormley The Elasticsearch Query DSL is a rich, flexible, powerful query language for full text and structured search, but with power comes complexity. Which of the 40 available queries should you use? What's a filter and when should you use it? How do you combine multiple filters, or multiple queries or queries with filters? To most users, "relevance", and how it is affected by different queries, is a black box. Multi-field queries in particular can be difficult to get right if you don't understand how they work. In this talk, I will explain the Query DSL from the ground up: how filters and queries use the inverted index to find matching documents, how the relevance score is calculated, how to combine the filter/query building blocks into complex statements. And finally, I will talk about the pitfalls of multi-field queries and how to avoid them. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2014querydslwizard-140527064559-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The Elasticsearch Query DSL is a rich, flexible, powerful query language for full text and structured search, but with power comes complexity. Which of the 40 available queries should you use? What's a filter and when should you use it? How do you combine multiple filters, or multiple queries or queries with filters? To most users, "relevance", and how it is affected by different queries, is a black box. Multi-field queries in particular can be difficult to get right if you don't understand how they work. In this talk, I will explain the Query DSL from the ground up: how filters and queries use the inverted index to find matching documents, how the relevance score is calculated, how to combine the filter/query building blocks into complex statements. And finally, I will talk about the pitfalls of multi-field queries and how to avoid them.

Elasticsearch Query DSL - Not just for wizards... from clintongormley

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0 Scaling real-time search and analytics with Elasticsearch /slideshow/scaling-realtime-search-and-analytics-with-elasticsearch/33370085 2014scaleconf-140410092259-phpapp02
See the video here: https://www.youtube.com/watch?v=o6lSeNatVFM A look at the elements required by Elasticsearch to turn a simple inverted index into an auto-clustering, horizontally scalable real time search and analytics engine. The talk will start from first principles, explaining how an inverted index works, how to make an inverted index suitable for real time search, how to scale that out, and how to add reliability and failover to the cluster.]]>
See the video here: https://www.youtube.com/watch?v=o6lSeNatVFM A look at the elements required by Elasticsearch to turn a simple inverted index into an auto-clustering, horizontally scalable real time search and analytics engine. The talk will start from first principles, explaining how an inverted index works, how to make an inverted index suitable for real time search, how to scale that out, and how to add reliability and failover to the cluster.]]> Thu, 10 Apr 2014 09:22:59 GMT /slideshow/scaling-realtime-search-and-analytics-with-elasticsearch/33370085 clintongormley@slideshare.net(clintongormley) Scaling real-time search and analytics with Elasticsearch clintongormley See the video here: https://www.youtube.com/watch?v=o6lSeNatVFM A look at the elements required by Elasticsearch to turn a simple inverted index into an auto-clustering, horizontally scalable real time search and analytics engine. The talk will start from first principles, explaining how an inverted index works, how to make an inverted index suitable for real time search, how to scale that out, and how to add reliability and failover to the cluster. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2014scaleconf-140410092259-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> See the video here: https://www.youtube.com/watch?v=o6lSeNatVFM A look at the elements required by Elasticsearch to turn a simple inverted index into an auto-clustering, horizontally scalable real time search and analytics engine. The talk will start from first principles, explaining how an inverted index works, how to make an inverted index suitable for real time search, how to scale that out, and how to add reliability and failover to the cluster.

Scaling real-time search and analytics with Elasticsearch from clintongormley

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0 Down and dirty with Elasticsearch /slideshow/down-and-dirty-with-elasticsearch/22745608 downanddirtywithelasticsearch-130610071032-phpapp01
An introduction to Elasticsearch for the programmer. The basic concepts you need to understand to use Elasticsearch as a search engine]]>
An introduction to Elasticsearch for the programmer. The basic concepts you need to understand to use Elasticsearch as a search engine]]> Mon, 10 Jun 2013 07:10:32 GMT /slideshow/down-and-dirty-with-elasticsearch/22745608 clintongormley@slideshare.net(clintongormley) Down and dirty with Elasticsearch clintongormley An introduction to Elasticsearch for the programmer. The basic concepts you need to understand to use Elasticsearch as a search engine <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/downanddirtywithelasticsearch-130610071032-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> An introduction to Elasticsearch for the programmer. The basic concepts you need to understand to use Elasticsearch as a search engine

Down and dirty with Elasticsearch from clintongormley

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0 To infinity and beyond /slideshow/to-infinity-and-beyond-14027777/14027777 toinfinityandbeyond-120821062741-phpapp02
Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine. It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small! This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale. https://github.com/clintongormley/Elastic-Model]]>
Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine. It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small! This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale. https://github.com/clintongormley/Elastic-Model]]> Tue, 21 Aug 2012 06:27:40 GMT /slideshow/to-infinity-and-beyond-14027777/14027777 clintongormley@slideshare.net(clintongormley) To infinity and beyond clintongormley Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine. It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small! This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale. https://github.com/clintongormley/Elastic-Model <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/toinfinityandbeyond-120821062741-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine. It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small! This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale. https://github.com/clintongormley/Elastic-Model

To infinity and beyond from clintongormley

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0 Terms of endearment - the ElasticSearch Query DSL explained /slideshow/terms-of-endearment-the-elasticsearch-query-dsl-explained/8882835 termsofendearment-110817092504-phpapp01
An introduction to mapping, analyzers, and how to query ElasticSearch using the Perl API]]>
An introduction to mapping, analyzers, and how to query ElasticSearch using the Perl API]]> Wed, 17 Aug 2011 09:25:01 GMT /slideshow/terms-of-endearment-the-elasticsearch-query-dsl-explained/8882835 clintongormley@slideshare.net(clintongormley) Terms of endearment - the ElasticSearch Query DSL explained clintongormley An introduction to mapping, analyzers, and how to query ElasticSearch using the Perl API <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/termsofendearment-110817092504-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> An introduction to mapping, analyzers, and how to query ElasticSearch using the Perl API

Terms of endearment - the ElasticSearch Query DSL explained from clintongormley

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0 Cool bonsai cool - an introduction to ElasticSearch /slideshow/cool-bonsai-cool-an-introduction-to-elasticsearch/8882742 coolbonsaicool-110817091917-phpapp01
An introduction to the ElasticSearch search engine and how to use it from Perl]]>
An introduction to the ElasticSearch search engine and how to use it from Perl]]> Wed, 17 Aug 2011 09:19:14 GMT /slideshow/cool-bonsai-cool-an-introduction-to-elasticsearch/8882742 clintongormley@slideshare.net(clintongormley) Cool bonsai cool - an introduction to ElasticSearch clintongormley An introduction to the ElasticSearch search engine and how to use it from Perl <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/coolbonsaicool-110817091917-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> An introduction to the ElasticSearch search engine and how to use it from Perl

Cool bonsai cool - an introduction to ElasticSearch from clintongormley

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/2014querydslwizard-140527064559-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/elasticsearch-query-dsl-not-just-for-wizards/35163410 Elasticsearch Query DS... https://cdn.slidesharecdn.com/ss_thumbnails/2014scaleconf-140410092259-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/scaling-realtime-search-and-analytics-with-elasticsearch/33370085 Scaling real-time sear... https://cdn.slidesharecdn.com/ss_thumbnails/downanddirtywithelasticsearch-130610071032-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/down-and-dirty-with-elasticsearch/22745608 Down and dirty with El...