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elasticsearch | Free and Open, Distributed, RESTful Search Engine | Search Engine library

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kandi X-RAY | elasticsearch Summary

elasticsearch is a Java library typically used in Database, Search Engine, Docker, Spark applications. elasticsearch has build file available and it has high support. However elasticsearch has 1803 bugs, it has 23 vulnerabilities and it has a Non-SPDX License. You can download it from GitHub, Maven.
Elasticsearch is the distributed, RESTful search and analytics engine at the heart of the Elastic Stack. You can use Elasticsearch to store, search, and manage data for:. To learn more about Elasticsearch’s features and capabilities, see our product page.

kandi-support Support

  • elasticsearch has a highly active ecosystem.
  • It has 59266 star(s) with 21608 fork(s). There are 2723 watchers for this library.
  • There were 10 major release(s) in the last 6 months.
  • There are 3434 open issues and 26248 have been closed. On average issues are closed in 152 days. There are 511 open pull requests and 0 closed requests.
  • It has a positive sentiment in the developer community.
  • The latest version of elasticsearch is v8.1.3

quality kandi Quality

  • elasticsearch has 1803 bugs (72 blocker, 50 critical, 880 major, 801 minor) and 66385 code smells.

securitySecurity

  • elasticsearch has 6 vulnerability issues reported (0 critical, 0 high, 6 medium, 0 low).
  • elasticsearch code analysis shows 17 unresolved vulnerabilities (5 blocker, 7 critical, 4 major, 1 minor).
  • There are 693 security hotspots that need review.

license License

  • elasticsearch has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

buildReuse

  • elasticsearch releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA

kandi has reviewed elasticsearch and discovered the below as its top functions. This is intended to give you an instant insight into elasticsearch implemented functionality, and help decide if they suit your requirements.

  • Matches a statement
  • Initialize the reserved roles .
  • Gets the main index mappings .
  • Gets the legal cast .
  • Loads a whitelist from a resource file .
  • Scale the cluster to the master node .
  • Process a new cluster info .
  • Build table with header information .
  • Matches an R statement .
  • Seek to an absolute frame .

elasticsearch Key Features

Logs

Metrics

A search backend

Application monitoring

Endpoint security

elasticsearch Examples and Code Snippets

  • Build from source
  • Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead
  • EFK system is build on docker but fluentd can't start up
  • How to specify schema for nested json in flask_restx?
  • How to create a company specific parent dependency in gradle
  • Using Docker-Desktop for Windows, how can sysctl parameters be configured to permeate a reboot?
  • Spring Data Elasticsearch Bulk Index/Delete - Millions of Records
  • How to filter map content by path
  • Elasticsearch::UnsupportedProductError (The client noticed that the server is not a supported distribution of Elasticsearch
  • Elasticsearch cannot find standalone reserved characters
  • Elasticsearch wildcard, regexp, match_phrase, prefix query returning wrong results

Build from source

./gradlew localDistro

Community Discussions

Trending Discussions on elasticsearch
  • Why should I run multiple elasticsearch nodes on a single docker host?
  • Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead
  • EFK system is build on docker but fluentd can't start up
  • How to specify schema for nested json in flask_restx?
  • How to create a company specific parent dependency in gradle
  • ElasticSearch - calling UpdateByQuery and Update in parallel causes 409 conflicts
  • Fuzzy Matching in Elasticsearch gives different results in two different versions
  • Using Docker-Desktop for Windows, how can sysctl parameters be configured to permeate a reboot?
  • Spring Data Elasticsearch Bulk Index/Delete - Millions of Records
  • How to filter map content by path
Trending Discussions on elasticsearch

QUESTION

Why should I run multiple elasticsearch nodes on a single docker host?

Asked 2022-Mar-09 at 18:17

There are a lot of articles online about running an Elasticsearch multi-node cluster using docker-compose, including the official documentation for Elasticsearch 8.0. However, I cannot find a reason why you would set up multiple nodes on the same docker host. Is this the recommended setup for a production environment? Or is it an example of theory in practice?

ANSWER

Answered 2022-Mar-04 at 15:49

You shouldn't consider this a production environment. The guides are examples, often for lab environments, and testing scenarios with the application. I would not consider them production ready, and compose is often not considered a production grade tool since everything it does is to a single docker node, where in production you typically want multiple nodes spread across multiple availability zones.

Source https://stackoverflow.com/questions/71298259

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install elasticsearch

The simplest way to set up Elasticsearch is to create a managed deployment with Elasticsearch Service on Elastic Cloud. If you prefer to install and manage Elasticsearch yourself, you can download the latest version from elastic.co/downloads/elasticsearch. For more installation options, see the Elasticsearch installation documentation.
To upgrade from an earlier version of Elasticsearch, see the Elasticsearch upgrade documentation.
Elasticsearch uses Gradle for its build system.

Support

For the complete Elasticsearch documentation visit elastic.co. For information about our documentation processes, see the docs README.

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