Git Product home page Git Product logo

elasticsearch-river-wikipedia's Introduction

Important: This project has been stopped since elasticsearch 2.0.


Wikipedia River Plugin for Elasticsearch

The Wikipedia River plugin allows index wikipedia.

Rivers are deprecated and will be removed in the future. Have a look at stream2es.

In order to install the plugin, run:

bin/plugin install elasticsearch/elasticsearch-river-wikipedia/2.6.0

You need to install a version matching your Elasticsearch version:

Elasticsearch Wikipedia River Plugin Docs
master Build from source See below
es-1.x Build from source 2.7.0-SNAPSHOT
es-1.6 2.6.0 2.6.0
es-1.5 2.5.0 2.5.0
es-1.4 2.4.1 2.4.1
es-1.3 2.3.0 2.3.0
es-1.2 2.2.0 2.2.0
es-1.0 2.0.0 2.0.0
es-0.90 1.3.0 1.3.0

To build a SNAPSHOT version, you need to build it with Maven:

mvn clean install
plugin --install river-wikipedia \ 
       --url file:target/releases/elasticsearch-river-wikipedia-X.X.X-SNAPSHOT.zip

Create river

A simple river to index Wikipedia (English pages). Create it using:

curl -XPUT localhost:9200/_river/my_river/_meta -d '
{
    "type" : "wikipedia"
}
'

The default download is the latest wikipedia dump. It can be changed using:

{
    "type" : "wikipedia",
    "wikipedia" : {
        "url" : "url to link to wikipedia dump"
    }
}

The index name defaults to the river name, and the type defaults to page. Both can be changed in the index section:

{
    "type" : "wikipedia",
    "index" : {
        "index" : "my_index",
        "type" : "my_type"
    }
}

Since 1.3.0, by default, bulk size is 100. A bulk is flushed every 5s. Number of concurrent requests allowed to be executed is 1. You can modify those settings within index section:

{
    "type" : "wikipedia",
    "index" : {
        "index" : "my_index",
        "type" : "my_type",
        "bulk_size" : 1000,
        "flush_interval" : "1s",
        "max_concurrent_bulk" : 3
    }
}

Mapping

By default, wikipedia river will generate the following mapping:

{
   "page": {
      "properties": {
         "category": {
            "type": "string"
         },
         "disambiguation": {
            "type": "boolean"
         },
         "link": {
            "type": "string"
         },
         "redirect": {
            "type": "boolean"
         },
         "redirect_page": {
            "type": "string"
         },
         "special": {
            "type": "boolean"
         },
         "stub": {
            "type": "boolean"
         },
         "text": {
            "type": "string"
         },
         "title": {
            "type": "string"
         }
      }
   }
}

License

This software is licensed under the Apache 2 license, quoted below.

Copyright 2009-2014 Elasticsearch <http://www.elasticsearch.org>

Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.

elasticsearch-river-wikipedia's People

Contributors

andrewyates avatar dadoonet avatar johtani avatar jpountz avatar kimchy avatar mikemccand avatar paikan avatar rmuir avatar tlrx avatar whoelse-net avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.