https://github.com/codelibs/elasticsearch-fess-suggest
https://github.com/codelibs/elasticsearch-fess-suggest
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/codelibs/elasticsearch-fess-suggest
- Owner: codelibs
- Created: 2015-07-13T08:56:00.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2020-02-03T04:18:50.000Z (over 5 years ago)
- Last Synced: 2025-03-30T18:04:41.694Z (3 months ago)
- Language: Java
- Size: 52.7 KB
- Stars: 3
- Watchers: 7
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
Elasticsearch Fess Suggest Plugin
=======================
## Overview
Elasticsearch Fess Suggest Plugin provides flexible suggest feature.
## Version
| Taste | Tested on Elasticsearch |
|:---------:|:-----------------------:|
| master | 1.7.X |
| 1.7.2 | 1.7.1 |
Note that this plugin supports Java 8 or the above.
### Issues/Questions
Please file an [issue](https://github.com/codelibs/elasticsearch-fess-suggest/issues "issue").
(Japanese forum is [here](https://github.com/codelibs/codelibs-ja-forum "here").)
## Installation
### Install Fess Suggest Plugin
$ $ES_HOME/bin/plugin --install org.codelibs/elasticsearch-fess-suggest/1.7.2
Fess Suggest plugin depends on [Elasticsearch Analysis Kuromoji Neologd](https://github.com/codelibs/elasticsearch-analysis-kuromoji-neologd "Elasticsearch Analysis Kuromoji Neologd").
Please install elasticsearch-analysis-kuromoji-neologd.
## Getting Started
### Create Configurations
Fess Suggest plugin has some index to manage suggest data.
The following command creates configuration indices for "doc" suggest.
$ curl -XPOST localhost:9200/doc/_fsuggest/create
"doc-suggest" index is created. Suggest data is stored to this index.
## Register Suggest Data
To register suggest data, send localhost:9200/{name}/_fsuggest/update/searchword by POST.
For examples, the following request stores "Foo{num} Bar" as suggest data.
$ count=1;while [ $count -lt 10 ] ; do curl -XPOST localhost:9200/doc/_fsuggest/update/searchword -d "{\"keyword\":\"Foo$count Bar\"}";count=`expr $count + 1`;done
To register suggest data from document, send localhost:9200/{name}/fsuggest/update/document.
UpdateDocument Api register the suggest data by analyzing document.
$ curl -XPOST localhost:9200/doc/_fsuggest/update/document -d '{"document" : "hello world.", "fields" : ["content"]}'
## Get Suggest Data
To get suggest data, send localhost:9200/{name}/_fsuggest wtih "q" parameter.
$ curl -XGET "localhost:9200/doc/_fsuggest?q=f&pretty"