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

 by   elastic Java Version: v8.1.3 License: Non-SPDX

 by   elastic Java Version: v8.1.3 License: Non-SPDX

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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.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

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 2 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
elasticsearch Support
Best in #Search Engine
Average in #Search Engine
elasticsearch Support
Best in #Search Engine
Average in #Search Engine

quality kandi Quality

  • elasticsearch has 1803 bugs (72 blocker, 50 critical, 880 major, 801 minor) and 66385 code smells.
elasticsearch Quality
Best in #Search Engine
Average in #Search Engine
elasticsearch Quality
Best in #Search Engine
Average in #Search Engine

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.
elasticsearch Security
Best in #Search Engine
Average in #Search Engine
elasticsearch Security
Best in #Search Engine
Average in #Search Engine

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.
elasticsearch License
Best in #Search Engine
Average in #Search Engine
elasticsearch License
Best in #Search Engine
Average in #Search Engine

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.
elasticsearch Reuse
Best in #Search Engine
Average in #Search Engine
elasticsearch Reuse
Best in #Search Engine
Average in #Search Engine
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

Build from source

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./gradlew localDistro

Warning: apt-key is deprecated. Manage keyring files in trusted.gpg.d instead

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curl -s URL | sudo gpg --no-default-keyring --keyring gnupg-ring:/etc/apt/trusted.gpg.d/NAME.gpg --import
sudo chown _apt /etc/apt/trusted.gpg.d/NAME.gpg
-----------------------
curl -s URL | sudo gpg --no-default-keyring --keyring gnupg-ring:/etc/apt/trusted.gpg.d/NAME.gpg --import
sudo chown _apt /etc/apt/trusted.gpg.d/NAME.gpg
-----------------------
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg

echo "deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main" |\
    sudo tee /etc/apt/sources.list.d/EXAMPLE.list

# Optional (you can find the email address / ID using `apt-key list`)
sudo apt-key del support@example.com
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg
deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main
-----------------------
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg

echo "deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main" |\
    sudo tee /etc/apt/sources.list.d/EXAMPLE.list

# Optional (you can find the email address / ID using `apt-key list`)
sudo apt-key del support@example.com
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg
deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main
-----------------------
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg

echo "deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main" |\
    sudo tee /etc/apt/sources.list.d/EXAMPLE.list

# Optional (you can find the email address / ID using `apt-key list`)
sudo apt-key del support@example.com
wget -O- https://example.com/EXAMPLE.gpg |\
    gpg --dearmor > /usr/share/keyrings/EXAMPLE.gpg
deb [signed-by=/usr/share/keyrings/EXAMPLE.gpg] https://example.com/apt stable main

EFK system is build on docker but fluentd can't start up

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docker pull kurraj/fluentd_castom:latest
FROM fluent/fluentd:v1.14-1

USER root

RUN gem update --system && \
gem install fluent-plugin-elasticsearch --source http://rubygems.org
-----------------------
docker pull kurraj/fluentd_castom:latest
FROM fluent/fluentd:v1.14-1

USER root

RUN gem update --system && \
gem install fluent-plugin-elasticsearch --source http://rubygems.org
-----------------------
FROM fluent/fluentd:v1.12.0-debian-1.0
USER root
RUN gem uninstall -I elasticsearch && gem install elasticsearch -v 7.17.0
RUN ["gem", "install", "fluent-plugin-elasticsearch", "--no-document", "-- 
 version", "5.0.3"]
USER fluent

How to specify schema for nested json in flask_restx?

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backup_fields = api.model('Backup fields', {
    "backup_status": fields.String,
    "backup_folder": fields.String
})

dr_status_fields = api.model('DR Status', {
    "elasticsearch": fields.Nested(backup_fields),
    "mongodb": fields.Nested(backup_fields),
    "postgresdb": fields.Nested(backup_fields),
    "overall_backup_status": fields.String
})

How to create a company specific parent dependency in gradle

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enableFeaturePreview('VERSION_CATALOGS')
dependencyResolutionManagement {
    versionCatalogs {
        libs {
            // logging
            alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
            alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

            // elasticsearch
            alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
            alias('elasticsearch-client').to('org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
            alias('elasticsearch-rest').to('org.elasticsearch.client:elasticsearch-rest-client:7.13.2')
        }
    }
}
dependencies {
    // logging
    implementation libs.slf4j.api
    implementation libs.log4j.over.slf4j

    // elasticsearch
    implementation libs.elasticsearch
    implementation libs.elasticsearch.client
    implementation libs.elasticsearch.rest
}
-----------------------
enableFeaturePreview('VERSION_CATALOGS')
dependencyResolutionManagement {
    versionCatalogs {
        libs {
            // logging
            alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
            alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

            // elasticsearch
            alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
            alias('elasticsearch-client').to('org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
            alias('elasticsearch-rest').to('org.elasticsearch.client:elasticsearch-rest-client:7.13.2')
        }
    }
}
dependencies {
    // logging
    implementation libs.slf4j.api
    implementation libs.log4j.over.slf4j

    // elasticsearch
    implementation libs.elasticsearch
    implementation libs.elasticsearch.client
    implementation libs.elasticsearch.rest
}
-----------------------
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-catalog'
plugins {
    id 'version-catalog'
    id 'maven-publish'
}

// the coordinates of the published catalog
group = 'com.mycompany'
version = 0.42

catalog {
    versionCatalog {
        // logging
        alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
        alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

        // elasticsearch
        alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
        alias('elasticsearch-rest-high-level-client').to(
            'org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
    }
}

publishing {
    publications {
        maven(MavenPublication) {
            from components.versionCatalog
        }
    }
    repositories {
        // the company-internal repo to which we publish the version catalog
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
    }
}
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-app'

dependencyResolutionManagement {
    repositories {
        // the same company-internal repo (to which we published the version
        // catalog in the other project)
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
        // a repository from which the external dependencies are fetched
        mavenCentral()
    }
    versionCatalogs {
        libs {
            // our published catalog
            from('com.mycompany:mycompany-catalog:0.42')
        }
    }
}
plugins {
    id 'java'
}

dependencies {
    // logging
    implementation(libs.slf4j.api)
    implementation(libs.log4j.over.slf4j)

    // elasticsearch
    implementation(libs.elasticsearch)
    implementation(libs.elasticsearch.rest.high.level.client)
}

// …
-----------------------
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-catalog'
plugins {
    id 'version-catalog'
    id 'maven-publish'
}

// the coordinates of the published catalog
group = 'com.mycompany'
version = 0.42

catalog {
    versionCatalog {
        // logging
        alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
        alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

        // elasticsearch
        alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
        alias('elasticsearch-rest-high-level-client').to(
            'org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
    }
}

publishing {
    publications {
        maven(MavenPublication) {
            from components.versionCatalog
        }
    }
    repositories {
        // the company-internal repo to which we publish the version catalog
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
    }
}
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-app'

dependencyResolutionManagement {
    repositories {
        // the same company-internal repo (to which we published the version
        // catalog in the other project)
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
        // a repository from which the external dependencies are fetched
        mavenCentral()
    }
    versionCatalogs {
        libs {
            // our published catalog
            from('com.mycompany:mycompany-catalog:0.42')
        }
    }
}
plugins {
    id 'java'
}

dependencies {
    // logging
    implementation(libs.slf4j.api)
    implementation(libs.log4j.over.slf4j)

    // elasticsearch
    implementation(libs.elasticsearch)
    implementation(libs.elasticsearch.rest.high.level.client)
}

// …
-----------------------
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-catalog'
plugins {
    id 'version-catalog'
    id 'maven-publish'
}

// the coordinates of the published catalog
group = 'com.mycompany'
version = 0.42

catalog {
    versionCatalog {
        // logging
        alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
        alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

        // elasticsearch
        alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
        alias('elasticsearch-rest-high-level-client').to(
            'org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
    }
}

publishing {
    publications {
        maven(MavenPublication) {
            from components.versionCatalog
        }
    }
    repositories {
        // the company-internal repo to which we publish the version catalog
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
    }
}
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-app'

dependencyResolutionManagement {
    repositories {
        // the same company-internal repo (to which we published the version
        // catalog in the other project)
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
        // a repository from which the external dependencies are fetched
        mavenCentral()
    }
    versionCatalogs {
        libs {
            // our published catalog
            from('com.mycompany:mycompany-catalog:0.42')
        }
    }
}
plugins {
    id 'java'
}

dependencies {
    // logging
    implementation(libs.slf4j.api)
    implementation(libs.log4j.over.slf4j)

    // elasticsearch
    implementation(libs.elasticsearch)
    implementation(libs.elasticsearch.rest.high.level.client)
}

// …
-----------------------
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-catalog'
plugins {
    id 'version-catalog'
    id 'maven-publish'
}

// the coordinates of the published catalog
group = 'com.mycompany'
version = 0.42

catalog {
    versionCatalog {
        // logging
        alias('slf4j-api').to('org.slf4j:slf4j-api:1.7.30')
        alias('log4j-over-slf4j').to('org.slf4j:log4j-over-slf4j:1.7.30')

        // elasticsearch
        alias('elasticsearch').to('org.elasticsearch:elasticsearch:7.13.2')
        alias('elasticsearch-rest-high-level-client').to(
            'org.elasticsearch.client:elasticsearch-rest-high-level-client:7.13.2')
    }
}

publishing {
    publications {
        maven(MavenPublication) {
            from components.versionCatalog
        }
    }
    repositories {
        // the company-internal repo to which we publish the version catalog
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
    }
}
enableFeaturePreview('VERSION_CATALOGS')

rootProject.name = 'mycompany-app'

dependencyResolutionManagement {
    repositories {
        // the same company-internal repo (to which we published the version
        // catalog in the other project)
        maven {
            url = 'file:///tmp/mycompany-repo'
        }
        // a repository from which the external dependencies are fetched
        mavenCentral()
    }
    versionCatalogs {
        libs {
            // our published catalog
            from('com.mycompany:mycompany-catalog:0.42')
        }
    }
}
plugins {
    id 'java'
}

dependencies {
    // logging
    implementation(libs.slf4j.api)
    implementation(libs.log4j.over.slf4j)

    // elasticsearch
    implementation(libs.elasticsearch)
    implementation(libs.elasticsearch.rest.high.level.client)
}

// …

Using Docker-Desktop for Windows, how can sysctl parameters be configured to permeate a reboot?

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[wsl2]
kernelCommandLine = "sysctl.vm.max_map_count=262144"
> sysctl vm.max_map_count
vm.max_map_count = 262144
[boot]
command="sysctl -w vm.max_map_count=262144"
wsl.exe -d docker-desktop sh -c "sysctl -w vm.max_map_count=262144"
-----------------------
[wsl2]
kernelCommandLine = "sysctl.vm.max_map_count=262144"
> sysctl vm.max_map_count
vm.max_map_count = 262144
[boot]
command="sysctl -w vm.max_map_count=262144"
wsl.exe -d docker-desktop sh -c "sysctl -w vm.max_map_count=262144"
-----------------------
[wsl2]
kernelCommandLine = "sysctl.vm.max_map_count=262144"
> sysctl vm.max_map_count
vm.max_map_count = 262144
[boot]
command="sysctl -w vm.max_map_count=262144"
wsl.exe -d docker-desktop sh -c "sysctl -w vm.max_map_count=262144"
-----------------------
[wsl2]
kernelCommandLine = "sysctl.vm.max_map_count=262144"
> sysctl vm.max_map_count
vm.max_map_count = 262144
[boot]
command="sysctl -w vm.max_map_count=262144"
wsl.exe -d docker-desktop sh -c "sysctl -w vm.max_map_count=262144"

Spring Data Elasticsearch Bulk Index/Delete - Millions of Records

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@Override
public Query idsQuery(List<String> ids) {

    Assert.notNull(ids, "ids must not be null");

    return new NativeSearchQueryBuilder().withQuery(QueryBuilders.idsQuery().addIds(ids.toArray(new String[] {})))
            .build();
}

How to filter map content by path

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(def skynet-widgets [{:basic-info   {:producer-code "Cyberdyne"}
                      :widgets      [{:widget-code      "Model-101"
                                      :widget-type-code "t800"}
                                     {:widget-code      "Model-102"
                                      :widget-type-code "t800"}
                                     {:widget-code      "Model-201"
                                      :widget-type-code "t1000"}]
                      :widget-types [{:widget-type-code "t800"
                                      :description      "Resistance Infiltrator"}
                                     {:widget-type-code "t1000"
                                      :description      "Mimetic polyalloy"}]}
                     {:basic-info   {:producer-code "ACME"}
                      :widgets      [{:widget-code      "Dynamite"
                                      :widget-type-code "c40"}]
                      :widget-types [{:widget-type-code "c40"
                                      :description      "Boom!"}]}])

    (let [root-eid (td/add-entity-edn skynet-widgets)
          results  (td/match
                     [{:basic-info   {:producer-code ?}
                       :widgets      [{:widget-code      ?
                                       :widget-type-code wtc}]
                       :widget-types [{:widget-type-code wtc
                                       :description      ?}]}])]
      (is= results
        [{:description "Resistance Infiltrator" :widget-code "Model-101" :producer-code "Cyberdyne" :wtc "t800"}
         {:description "Resistance Infiltrator" :widget-code "Model-102" :producer-code "Cyberdyne" :wtc "t800"}
         {:description "Mimetic polyalloy" :widget-code "Model-201" :producer-code "Cyberdyne" :wtc "t1000"}
         {:description "Boom!" :widget-code "Dynamite" :producer-code "ACME" :wtc "c40"}])))
-----------------------
(def skynet-widgets [{:basic-info   {:producer-code "Cyberdyne"}
                      :widgets      [{:widget-code      "Model-101"
                                      :widget-type-code "t800"}
                                     {:widget-code      "Model-102"
                                      :widget-type-code "t800"}
                                     {:widget-code      "Model-201"
                                      :widget-type-code "t1000"}]
                      :widget-types [{:widget-type-code "t800"
                                      :description      "Resistance Infiltrator"}
                                     {:widget-type-code "t1000"
                                      :description      "Mimetic polyalloy"}]}
                     {:basic-info   {:producer-code "ACME"}
                      :widgets      [{:widget-code      "Dynamite"
                                      :widget-type-code "c40"}]
                      :widget-types [{:widget-type-code "c40"
                                      :description      "Boom!"}]}])

    (let [root-eid (td/add-entity-edn skynet-widgets)
          results  (td/match
                     [{:basic-info   {:producer-code ?}
                       :widgets      [{:widget-code      ?
                                       :widget-type-code wtc}]
                       :widget-types [{:widget-type-code wtc
                                       :description      ?}]}])]
      (is= results
        [{:description "Resistance Infiltrator" :widget-code "Model-101" :producer-code "Cyberdyne" :wtc "t800"}
         {:description "Resistance Infiltrator" :widget-code "Model-102" :producer-code "Cyberdyne" :wtc "t800"}
         {:description "Mimetic polyalloy" :widget-code "Model-201" :producer-code "Cyberdyne" :wtc "t1000"}
         {:description "Boom!" :widget-code "Dynamite" :producer-code "ACME" :wtc "c40"}])))
-----------------------
(defn select-paths-from-set [current-path path-set data]
  (cond
    (map? data) (into {}
                      (remove nil?)
                      (for [[k v] data]
                        (let [p (conj current-path k)]
                          (if (contains? path-set p)
                            [k (select-paths-from-set p path-set v)]))))
    (sequential? data) (mapv (partial select-paths-from-set current-path path-set) data)
    :default data))

(defn select-paths [data paths]
  (select-paths-from-set []
                         (into #{}
                               (mapcat #(take-while seq (iterate butlast %)))
                               paths)
                         data))

(select-paths {:a 1
               :b {:c [{:d 1 :e 1} 
                       {:d 2 :e 2}]
                   :f 1}
               :g {:h {:i 4 :j [1 2 3]}}}
              [[:a] 
               [:b :c :e]
               [:b :f]
               [:g :h :i]])
;; => {:a 1, :b {:c [{:e 1} {:e 2}], :f 1}, :g {:h {:i 4}}}

Elasticsearch::UnsupportedProductError (The client noticed that the server is not a supported distribution of Elasticsearch

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gem  elasticsearch, "< 7.14"

Elasticsearch cannot find standalone reserved characters

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{
  "query": {
     "query_string": {
       "query": "*\\-*"
     }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}
-----------------------
GET dev_application/_analyze?filter_path=tokens.token
{
  "tokenizer": "standard",
  "text": "Se, det ble grønt ! a"
}
["Se", "det", "ble", "grønt", "a"]
GET _analyze?filter_path=tokens.token
{
  "tokenizer": "whitespace",
  "text": "Se, det ble grønt ! a"
}
["Se,", "det", "ble", "grønt", "!", "a"]
DELETE dev_application
PUT dev_application
{
  "settings": {
    "index": {
      "analysis": {
        "analyzer": {
          "splitByWhitespaceAnalyzer": {
            "tokenizer": "whitespace"
          }
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "name": {
        "type": "text",
        "fields": {
          "splitByWhitespace": {
            "type": "text",
            "analyzer": "splitByWhitespaceAnalyzer"
          }
        }
      }
    }
  }
}
POST dev_application/_doc
{
  "name": "Se, det ble grønt ! a"
}
GET dev_application/_search
{
  "query": {
    "query_string": {
      "default_field": "name.splitByWhitespace", 
      "query": "*\\!*",
      "default_operator": "AND"
    }
  }
}

Elasticsearch wildcard, regexp, match_phrase, prefix query returning wrong results

copy iconCopydownload iconDownload
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]
-----------------------
{
  "mappings": {
    "properties": {
      "f1": {
        "type": "text"
      }
    }
  }
}
{
  "f1": "method"
}
{
  "f1": "thought"
}
{
  "f1": "Thomson"
}
{
  "f1": "those"
}
{
  "query": {
    "wildcard": {
      "f1": {
        "value": "tho*"
      }
    }
  }
}
{
  "query": {
    "prefix": {
      "f1": {
        "value": "tho"
      }
    }
  }
}
{
  "query": {
    "regexp": {
      "f1": {
        "value": "tho.*"
      }
    }
  }
}
{
  "query": {
    "match_phrase_prefix": {
      "f1": {
        "query": "tho"
      }
    }
  }
}
"hits": [
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.2039728,
        "_source": {
          "f1": "thought"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.2039728,
        "_source": {
          "f1": "Thomson"
        }
      },
      {
        "_index": "67673694",
        "_type": "_doc",
        "_id": "3",
        "_score": 1.2039728,
        "_source": {
          "f1": "those"
        }
      }
    ]

Community Discussions

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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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