232 lines
8.3 KiB
Plaintext
232 lines
8.3 KiB
Plaintext
[[integrations]]
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== Integrations
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Integrations are not plugins, but are external tools or modules that make it easier to work with Elasticsearch.
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[float]
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[[cms-integrations]]
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=== CMS integrations
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[float]
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==== Supported by the community:
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* http://drupal.org/project/search_api_elasticsearch[Drupal]:
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Drupal Elasticsearch integration via Search API.
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* https://drupal.org/project/elasticsearch_connector[Drupal]:
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Drupal Elasticsearch integration.
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* http://searchbox-io.github.com/wp-elasticsearch/[Wp-Elasticsearch]:
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Elasticsearch WordPress Plugin
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* https://github.com/wallmanderco/elasticsearch-indexer[Elasticsearch Indexer]:
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Elasticsearch WordPress Plugin
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* https://doc.tiki.org/Elasticsearch[Tiki Wiki CMS Groupware]:
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Tiki has native support for Elasticsearch. This provides faster & better
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search (facets, etc), along with some Natural Language Processing features
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(ex.: More like this)
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[float]
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[[data-integrations]]
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=== Data import/export and validation
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NOTE: Rivers were used to import data from external systems into Elasticsearch prior to the 2.0 release. Elasticsearch
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releases 2.0 and later do not support rivers.
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[float]
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==== Supported by the community:
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* https://www.elastic.co/guide/en/logstash/current/plugins-outputs-elasticsearch.html[Logstash output to Elasticsearch]:
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The Logstash `elasticsearch` output plugin.
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* https://www.elastic.co/guide/en/logstash/current/plugins-inputs-elasticsearch.html[Elasticsearch input to Logstash]
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The Logstash `elasticsearch` input plugin.
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* https://www.elastic.co/guide/en/logstash/current/plugins-filters-elasticsearch.html[Elasticsearch event filtering in Logstash]
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The Logstash `elasticearch` filter plugin.
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* https://www.elastic.co/guide/en/logstash/current/plugins-codecs-es_bulk.html[Elasticsearch bulk codec]
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The Logstash `es_bulk` plugin decodes the Elasticsearch bulk format into individual events.
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[float]
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==== Supported by the community:
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* https://github.com/jprante/elasticsearch-jdbc[JDBC importer]:
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The Java Database Connection (JDBC) importer allows to fetch data from JDBC sources for indexing into Elasticsearch (by Jörg Prante)
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* https://github.com/reachkrishnaraj/kafka-elasticsearch-standalone-consumer[Kafka Standalone Consumer]:
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Easily Scalable & Extendable Kafka Standalone Consumer that reads messages from Kafka, then processes and indexes the messages in ElasticSearch
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* https://github.com/ozlerhakan/mongolastic[Mongolastic]:
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A tool that clones data from ElasticSearch to MongoDB and vice versa
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* https://github.com/Aconex/scrutineer[Scrutineer]:
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A high performance consistency checker to compare what you've indexed
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with your source of truth content (e.g. DB)
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* https://github.com/salyh/elasticsearch-imap[IMAP/POP3/Mail importer]:
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The Mail importer allows to fetch data from IMAP and POP3 servers for indexing into Elasticsearch (by Hendrik Saly)
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[float]
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[[deployment]]
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=== Deployment
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[float]
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==== Supported by Elasticsearch:
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* https://github.com/elasticsearch/puppet-elasticsearch[Puppet]:
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Elasticsearch puppet module.
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[float]
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==== Supported by the community:
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* http://github.com/elasticsearch/cookbook-elasticsearch[Chef]:
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Chef cookbook for Elasticsearch
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This project appears to have been abandoned:
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* https://github.com/medcl/salt-elasticsearch[SaltStack]:
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SaltStack Module for Elasticsearch
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[float]
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[[framework-integrations]]
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=== Framework integrations
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[float]
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==== Supported by the community:
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* http://www.searchtechnologies.com/aspire-for-elasticsearch[Aspire for Elasticsearch]:
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Aspire, from Search Technologies, is a powerful connector and processing
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framework designed for unstructured data. It has connectors to internal and
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external repositories including SharePoint, Documentum, Jive, RDB, file
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systems, websites and more, and can transform and normalize this data before
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indexing in Elasticsearch.
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* https://camel.apache.org/elasticsearch.html[Apache Camel Integration]:
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An Apache camel component to integrate elasticsearch
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* https://metacpan.org/release/Catmandu-Store-ElasticSearch[Catmanadu]:
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An Elasticsearch backend for the Catmandu framework.
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* https://github.com/tlrx/elasticsearch-test[elasticsearch-test]:
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Elasticsearch Java annotations for unit testing with
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http://www.junit.org/[JUnit]
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* https://github.com/FriendsOfSymfony/FOSElasticaBundle[FOSElasticaBundle]:
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Symfony2 Bundle wrapping Elastica.
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* http://grails.org/plugin/elasticsearch[Grails]:
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Elasticsearch Grails plugin.
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* http://haystacksearch.org/[Haystack]:
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Modular search for Django
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* https://github.com/cleverage/play2-elasticsearch[play2-elasticsearch]:
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Elasticsearch module for Play Framework 2.x
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* https://github.com/spring-projects/spring-data-elasticsearch[Spring Data Elasticsearch]:
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Spring Data implementation for Elasticsearch
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* https://github.com/dadoonet/spring-elasticsearch[Spring Elasticsearch]:
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Spring Factory for Elasticsearch
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* https://github.com/twitter/storehaus[Twitter Storehaus]:
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Thin asynchronous Scala client for Storehaus.
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These projects appear to have been abandoned:
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* https://metacpan.org/module/Catalyst::Model::Search::Elasticsearch[Catalyst]:
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Elasticsearch and Catalyst integration.
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* http://github.com/aparo/django-elasticsearch[django-elasticsearch]:
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Django Elasticsearch Backend.
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* https://github.com/kzwang/elasticsearch-osem[elasticsearch-osem]:
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A Java Object Search Engine Mapping (OSEM) for Elasticsearch
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* http://geeks.aretotally.in/play-framework-module-elastic-search-distributed-searching-with-json-http-rest-or-java[Play!Framework]:
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Integrate with Play! Framework Application.
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* http://code.google.com/p/terrastore/wiki/Search_Integration[Terrastore Search]:
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http://code.google.com/p/terrastore/[Terrastore] integration module with elasticsearch.
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[float]
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[[hadoop-integrations]]
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=== Hadoop integrations
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[float]
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==== Supported by Elasticsearch:
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* link:/guide/en/elasticsearch/hadoop/current/[es-hadoop]: Elasticsearch real-time
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search and analytics natively integrated with Hadoop. Supports Map/Reduce,
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Cascading, Apache Hive, Apache Pig, Apache Spark and Apache Storm.
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[float]
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==== Supported by the community:
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These projects appear to have been abandoned:
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* http://github.com/Aconex/elasticflume[elasticflume]:
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http://github.com/cloudera/flume[Flume] sink implementation.
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* https://github.com/infochimps-labs/wonderdog[Wonderdog]:
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Hadoop bulk loader into elasticsearch.
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[float]
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[[monitoring-integrations]]
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=== Health and Performance Monitoring
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[float]
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==== Supported by the community:
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* https://github.com/anchor/nagios-plugin-elasticsearch[check_elasticsearch]:
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An Elasticsearch availability and performance monitoring plugin for
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Nagios.
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* https://github.com/radu-gheorghe/check-es[check-es]:
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Nagios/Shinken plugins for checking on elasticsearch
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* https://github.com/mattweber/es2graphite[es2graphite]:
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Send cluster and indices stats and status to Graphite for monitoring and graphing.
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* https://itunes.apple.com/us/app/elasticocean/id955278030?ls=1&mt=8[ElasticOcean]:
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Elasticsearch & DigitalOcean iOS Real-Time Monitoring tool to keep an eye on DigitalOcean Droplets or Elasticsearch instances or both of them on-a-go.
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* https://github.com/rbramley/Opsview-elasticsearch[opsview-elasticsearch]:
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Opsview plugin written in Perl for monitoring Elasticsearch
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* https://scoutapp.com[Scout]: Provides plugins for monitoring Elasticsearch https://scoutapp.com/plugin_urls/1331-elasticsearch-node-status[nodes], https://scoutapp.com/plugin_urls/1321-elasticsearch-cluster-status[clusters], and https://scoutapp.com/plugin_urls/1341-elasticsearch-index-status[indices].
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* http://sematext.com/spm/index.html[SPM for Elasticsearch]:
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Performance monitoring with live charts showing cluster and node stats, integrated
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alerts, email reports, etc.
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[[other-integrations]]
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[float]
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=== Other integrations
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[float]
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==== Supported by the community:
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* https://github.com/kodcu/pes[Pes]:
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A pluggable elastic Javascript query DSL builder for Elasticsearch
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* https://www.wireshark.org/[Wireshark]:
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Protocol dissection for Zen discovery, HTTP and the binary protocol
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These projects appear to have been abandoned:
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* http://www.github.com/neogenix/daikon[daikon]:
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Daikon Elasticsearch CLI
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* https://github.com/fullscale/dangle[dangle]:
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A set of AngularJS directives that provide common visualizations for elasticsearch based on
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D3.
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* https://github.com/OlegKunitsyn/eslogd[eslogd]:
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Linux daemon that replicates events to a central Elasticsearch server in realtime
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