Elasticsearch is a distributed, open source search and analytics engine. It allows storing and searching of documents of any schema in real-time. Documents are organized into indices which can contain multiple types of documents. Indices are partitioned into shards and replicas to allow horizontal scaling and high availability. The document consists of a JSON object which is indexed and can be queried using a RESTful API.
The talk covers how Elasticsearch, Lucene and to some extent search engines in general actually work under the hood. We'll start at the "bottom" (or close enough!) of the many abstraction levels, and gradually move upwards towards the user-visible layers, studying the various internal data structures and behaviors as we ascend. Elasticsearch provides APIs that are very easy to use, and it will get you started and take you far without much effort. However, to get the most of it, it helps to have some knowledge about the underlying algorithms and data structures. This understanding enables you to make full use of its substantial set of features such that you can improve your users search experiences, while at the same time keep your systems performant, reliable and updated in (near) real time.
Deep Dive on ElasticSearch Meetup event on 23rd May '15 at www.meetup.com/abctalks
Agenda:
1) Introduction to NOSQL
2) What is ElasticSearch and why is it required
3) ElasticSearch architecture
4) Installation of ElasticSearch
5) Hands on session on ElasticSearch
An introduction to elasticsearch with a short demonstration on Kibana to present the search API. The slide covers:
- Quick overview of the Elastic stack
- indexation
- Analysers
- Relevance score
- One use case of elasticsearch
The query used for the Kibana demonstration can be found here:
https://github.com/melvynator/elasticsearch_presentation
The talk covers how Elasticsearch, Lucene and to some extent search engines in general actually work under the hood. We'll start at the "bottom" (or close enough!) of the many abstraction levels, and gradually move upwards towards the user-visible layers, studying the various internal data structures and behaviors as we ascend. Elasticsearch provides APIs that are very easy to use, and it will get you started and take you far without much effort. However, to get the most of it, it helps to have some knowledge about the underlying algorithms and data structures. This understanding enables you to make full use of its substantial set of features such that you can improve your users search experiences, while at the same time keep your systems performant, reliable and updated in (near) real time.
Deep Dive on ElasticSearch Meetup event on 23rd May '15 at www.meetup.com/abctalks
Agenda:
1) Introduction to NOSQL
2) What is ElasticSearch and why is it required
3) ElasticSearch architecture
4) Installation of ElasticSearch
5) Hands on session on ElasticSearch
An introduction to elasticsearch with a short demonstration on Kibana to present the search API. The slide covers:
- Quick overview of the Elastic stack
- indexation
- Analysers
- Relevance score
- One use case of elasticsearch
The query used for the Kibana demonstration can be found here:
https://github.com/melvynator/elasticsearch_presentation
In this presentation, we are going to discuss how elasticsearch handles the various operations like insert, update, delete. We would also cover what is an inverted index and how segment merging works.
ElasticSearch introduction talk. Overview of the API, functionality, use cases. What can be achieved, how to scale? What is Kibana, how it can benefit your business.
A brief presentation outlining the basics of elasticsearch for beginners. Can be used to deliver a seminar on elasticsearch.(P.S. I used it) Would Recommend the presenter to fiddle with elasticsearch beforehand.
Elasticsearch Tutorial | Getting Started with Elasticsearch | ELK Stack Train...Edureka!
( ELK Stack Training - https://www.edureka.co/elk-stack-trai... )
This Edureka Elasticsearch Tutorial will help you in understanding the fundamentals of Elasticsearch along with its practical usage and help you in building a strong foundation in ELK Stack. This video helps you to learn following topics:
1. What Is Elasticsearch?
2. Why Elasticsearch?
3. Elasticsearch Advantages
4. Elasticsearch Installation
5. API Conventions
6. Elasticsearch Query DSL
7. Mapping
8. Analysis
9 Modules
Talk given for the #phpbenelux user group, March 27th in Gent (BE), with the goal of convincing developers that are used to build php/mysql apps to broaden their horizon when adding search to their site. Be sure to also have a look at the notes for the slides; they explain some of the screenshots, etc.
An accompanying blog post about this subject can be found at http://www.jurriaanpersyn.com/archives/2013/11/18/introduction-to-elasticsearch/
This slide deck talks about Elasticsearch and its features.
When you talk about ELK stack it just means you are talking
about Elasticsearch, Logstash, and Kibana. But when you talk
about Elastic stack, other components such as Beats, X-Pack
are also included with it.
what is the ELK Stack?
ELK vs Elastic stack
What is Elasticsearch used for?
How does Elasticsearch work?
What is an Elasticsearch index?
Shards
Replicas
Nodes
Clusters
What programming languages does Elasticsearch support?
Amazon Elasticsearch, its use cases and benefits
"ElasticSearch in action" by Thijs Feryn.
ElasticSearch is a really powerful search engine, NoSQL database & analytics engine. It is fast, it scales and it's a child of the Cloud/BigData generation. This talk will show you how to get things done using ElasticSearch. The focus is on doing actual work, creating actual queries and achieving actual results. Topics that will be covered: - Filters and queries - Cluster, shard and index management - Data mapping - Analyzers and tokenizers - Aggregations - ElasticSearch as part of the ELK stack - Integration in your code.
So, what is the ELK Stack? "ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
What Is ELK Stack | ELK Tutorial For Beginners | Elasticsearch Kibana | ELK S...Edureka!
( ELK Stack Training - https://www.edureka.co/elk-stack-trai... )
This Edureka tutorial on What Is ELK Stack will help you in understanding the fundamentals of Elasticsearch, Logstash, and Kibana together and help you in building a strong foundation in ELK Stack. Below are the topics covered in this ELK tutorial for beginners:
1. Need for Log Analysis
2. Problems with Log Analysis
3. What is ELK Stack?
4. Features of ELK Stack
5. Companies Using ELK Stack
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.
In this presentation, we are going to discuss how elasticsearch handles the various operations like insert, update, delete. We would also cover what is an inverted index and how segment merging works.
ElasticSearch introduction talk. Overview of the API, functionality, use cases. What can be achieved, how to scale? What is Kibana, how it can benefit your business.
A brief presentation outlining the basics of elasticsearch for beginners. Can be used to deliver a seminar on elasticsearch.(P.S. I used it) Would Recommend the presenter to fiddle with elasticsearch beforehand.
Elasticsearch Tutorial | Getting Started with Elasticsearch | ELK Stack Train...Edureka!
( ELK Stack Training - https://www.edureka.co/elk-stack-trai... )
This Edureka Elasticsearch Tutorial will help you in understanding the fundamentals of Elasticsearch along with its practical usage and help you in building a strong foundation in ELK Stack. This video helps you to learn following topics:
1. What Is Elasticsearch?
2. Why Elasticsearch?
3. Elasticsearch Advantages
4. Elasticsearch Installation
5. API Conventions
6. Elasticsearch Query DSL
7. Mapping
8. Analysis
9 Modules
Talk given for the #phpbenelux user group, March 27th in Gent (BE), with the goal of convincing developers that are used to build php/mysql apps to broaden their horizon when adding search to their site. Be sure to also have a look at the notes for the slides; they explain some of the screenshots, etc.
An accompanying blog post about this subject can be found at http://www.jurriaanpersyn.com/archives/2013/11/18/introduction-to-elasticsearch/
This slide deck talks about Elasticsearch and its features.
When you talk about ELK stack it just means you are talking
about Elasticsearch, Logstash, and Kibana. But when you talk
about Elastic stack, other components such as Beats, X-Pack
are also included with it.
what is the ELK Stack?
ELK vs Elastic stack
What is Elasticsearch used for?
How does Elasticsearch work?
What is an Elasticsearch index?
Shards
Replicas
Nodes
Clusters
What programming languages does Elasticsearch support?
Amazon Elasticsearch, its use cases and benefits
"ElasticSearch in action" by Thijs Feryn.
ElasticSearch is a really powerful search engine, NoSQL database & analytics engine. It is fast, it scales and it's a child of the Cloud/BigData generation. This talk will show you how to get things done using ElasticSearch. The focus is on doing actual work, creating actual queries and achieving actual results. Topics that will be covered: - Filters and queries - Cluster, shard and index management - Data mapping - Analyzers and tokenizers - Aggregations - ElasticSearch as part of the ELK stack - Integration in your code.
So, what is the ELK Stack? "ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
What Is ELK Stack | ELK Tutorial For Beginners | Elasticsearch Kibana | ELK S...Edureka!
( ELK Stack Training - https://www.edureka.co/elk-stack-trai... )
This Edureka tutorial on What Is ELK Stack will help you in understanding the fundamentals of Elasticsearch, Logstash, and Kibana together and help you in building a strong foundation in ELK Stack. Below are the topics covered in this ELK tutorial for beginners:
1. Need for Log Analysis
2. Problems with Log Analysis
3. What is ELK Stack?
4. Features of ELK Stack
5. Companies Using ELK Stack
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.
Scaling real-time search and analytics with Elasticsearchclintongormley
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.
Running High Performance and Fault Tolerant Elasticsearch Clusters on DockerSematext Group, Inc.
Sematext engineer Rafal Kuc (@kucrafal) walks through the details of running high-performance, fault tolerant Elasticsearch clusters on Docker. Topics include: Containers vs. Virtual Machines, running the official Elasticsearch container, container constraints, good network practices, dealing with storage, data-only Docker volumes, scaling, time-based data, multiple tiers and tenants, indexing with and without routing, querying with and without routing, routing vs. no routing, and monitoring. Talk was delivered at DevOps Days Warsaw 2015.
Elasticsearch, all the cool kids talks about it, tutorials for beginners aplenty but what about beyond the first install and putting your first document in? This advanced talk will give you an insight on the steps that come next: a dive into analysers, performance for percolation and the gold nuggets for your cluster infrastructure. This is our experience with Elasticsearch in a 2.4 billion (yes, that would be nine zeroes indeed) page view environment with over 22 million documents. We're not the experts but we can tell you a hell of a lot about our mistakes. Basic knowledge of Elasticsearch is assumed.
Showing how websockets can be used already today to push data to mobile Web apps. Focusing on a Java developer view-point, looking at using the Atmosphere Java framework with several java app servers and a Sencha Touch frontend.
Elasticsearch is a powerful, distributed, open source searching technology. By integrating Elasticsearch into your application, you instantly provide a way to search a lot of data very quickly. Elasticsearch has a RESTful API, it scales, its super fast, you can use plugins to customize it, and much more. In this talk I go over the basics of setting up Elasticsearch, creating a search index, importing your data, and doing some basic searching. I also touch on a few advanced topics that will show the flexibility of this awesome service.
Every second thousands of Netflix members hit the play button to stream content on more than 1000 different Netflix device types. The playback experience is comprised of multiple dimensions - device, customer, network, content, country, languages. At Netflix’s scale, these dimensions are beyond what a human can comprehend. To enable understanding of what’s working and not working across the globe for Netflix customers, we need to blend humans and machines. Elasticsearch and Kibana augment our human analysis and enable automated root causing of streaming problems.
In this talk, we’ll discuss:
- The dimensions of data used in generating an optimal playback experience
- How we use Elasticsearch and Kibana to slice and dice these dimensions for our insights
- The automation workflow we have in place for finding the issues auto-magically and identifying the root cause of the issue.
You can reach Suudhan at @suudhan and https://www.linkedin.com/in/suudhan
Presented on 10/11/12 at the Boston Elasticsearch meetup held at the Microsoft New England Research & Development Center. This talk gave a very high-level overview of Elasticsearch to newcomers and explained why ES is a good fit for Traackr's use case.
Attack monitoring using ElasticSearch Logstash and KibanaPrajal Kulkarni
With growing trend of Big data, companies are tend to rely on high cost SIEM solutions. However, with introduction of open source and lightweight cluster management solution like ElasticSearch this has been the highlight of the year. Similarly, the log aggregation has been simplified by logstash and kibana providing a visual look to the complex data structure. This presentation will exactly cater to this need of having a appropriate log analysis+Detecting Intrusion+Visualizing data in a powerful interface.
Elasticsearch, a distributed search engine with real-time analyticsTiziano Fagni
An overview of Elasticsearch: main features, architecture, limitations. It includes also a description on how to query data both using REST API and using elastic4s library, with also a specific interest into integration of the search engine with Apache Spark.
Modernizing WordPress Search with ElasticsearchTaylor Lovett
WordPress search is notoriously lacking. Using Elasticsearch and the 10up WordPress plugin ElasticPress, we can do amazing things with search very performantly.
Elasticsearch, Logstash, Kibana. Cool search, analytics, data mining and more...Oleksiy Panchenko
In the age of information and big data, ability to quickly and easily find a needle in a haystack is extremely important. Elasticsearch is a distributed and scalable search engine which provides rich and flexible search capabilities. Social networks (Facebook, LinkedIn), media services (Netflix, SoundCloud), Q&A sites (StackOverflow, Quora, StackExchange) and even GitHub - they all find data for you using Elasticsearch. In conjunction with Logstash and Kibana, Elasticsearch becomes a powerful log engine which allows to process, store, analyze, search through and visualize your logs.
Video: https://www.youtube.com/watch?v=GL7xC5kpb-c
Scripts for the Demo: https://github.com/opanchenko/morning-at-lohika-ELK
DevOps Fest 2019. Сергей Марченко. Terraform: a novel about modules, provider...DevOps_Fest
В Dev-Pro DevOps-специалисты работают с Terraform в рамках Azure. Команда работает с множеством окружений и ресурсов, среди которых есть AKS (Kubernetes). Сергей поделится опытом успешного написания модулей и провайдеров для Terraform.
Elasticsearch what is it ? How can I use it in my stack ? I will explain how to set up a working environment with Elasticsearch. The slides are in English.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
7. Multi Tenancy
A cluster can host multiple indices which can be queried
independently, or as a group.
$ curl -XPUT http://localhost:9200/people
$ curl -XPUT http://localhost:9200/gems
$ curl -XPUT http://localhost:9200/gems/document/pry-0.5.9
$ curl -XGET http://localhost:9200/gems/document/pry-0.5.9
8. Document Oriented
Store complex real world entities in Elasticsearch as structured JSON
documents.
{
"_id": "pry-0.5.9",
"_index": "gems",
"_source": {
"authors": [
"John Mair (banisterfiend)"
],
"autorequire": null,
"bindir": "bin",
"cert_chain": [],
"date": "Sun Feb 20 11:00:00 UTC 2011",
"default_executable": null,
"description": "attach an irb-like session to any object at runtime",
"email": "jrmair@gmail.com"
}
}
9. RESTful API
Almost any operation can be performed using a simple RESTful
interface using JSON over HTTP.
curl -X GET
curl -X PUT
curl -X POST
curl -X DELETE
10. Apache Lucene
ElasticSearch is built on top of Apache Lucene. Lucene is a high
performance, full-featured Information Retrieval library, written in
Java.
12. Document
$ curl -XGET http://localhost:9200/gems/document/pry-0.5.9
In ElasticSearch, everything is stored as a Document. Document can
be addressed and retrieved by querying their attributes.
{
"_id": "pry-0.5.9",
"_index": "gems",
"_source": {
"authors": [
"John Mair (banisterfiend)"
],
"autorequire": null,
"bindir": "bin",
"cert_chain": [],
"date": "Sun Feb 20 11:00:00 UTC 2011",
"default_executable": null,
"description": "attach an irb-like session to any object at runtime",
"email": "jrmair@gmail.com",
"executables": [
"pry"
],
"extensions": [],
"extra_rdoc_files": [],
"files": [
"lib/pry/commands.rb",
"lib/pry/command_base.rb",
"lib/pry/completion.rb",
"lib/pry/core_extensions.rb",
"lib/pry/hooks.rb",
"lib/pry/print.rb",
"lib/pry/prompts.rb",
"lib/pry/pry_class.rb",
"lib/pry/pry_instance.rb",
"lib/pry/version.rb",
"lib/pry.rb",
"examples/example_basic.rb",
13. Document Types
Lets us specify document properties, so we can differentiate the
objects.
14. Shard
Each Shard is a separate native Lucene Index. Lets us overcome RAM
limitations, hard disk capacity.
15. Replica
An exact copy of primary Shard. Helps in setting up HA, increases
query throughput.
16. Index
ElasticSearch stores its data in logical Indices. Think of a table,
collection or a database.
An Index has atleast 1 primary Shard, and 0 or more Replicas.
17. Cluster
A collection of cooperating ElasticSearch nodes. Gives better
availability and performance via Index Sharding and Replicas.
19. Download and start
Download ElasticSearch from
http://www.elasticsearch.org/download
# service elasticsearch start
# /etc/init.d/elasticsearch start
# ./bin/elasticsearch -f
20. ElasticSearch Plugins
A site plugin to view contents of ElasticSearch cluster.
Restart ElasticSearch. Plugins are detected and loaded on service
startup.
# cd /usr/share/elasticsearch
# ./bin/plugin -install mobz/elasticsearch-head
# cd /opt/elasticsearch-0.90.2
# ./bin/plugin -install mobz/elasticsearch-head