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https://github.com/medcl/elasticsearch-analysis-mmseg
The Mmseg Analysis plugin integrates Lucene mmseg4j-analyzer:http://code.google.com/p/mmseg4j/ into elasticsearch, support customized dictionary.
https://github.com/medcl/elasticsearch-analysis-mmseg
Last synced: 1 day ago
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The Mmseg Analysis plugin integrates Lucene mmseg4j-analyzer:http://code.google.com/p/mmseg4j/ into elasticsearch, support customized dictionary.
- Host: GitHub
- URL: https://github.com/medcl/elasticsearch-analysis-mmseg
- Owner: medcl
- License: apache-2.0
- Created: 2011-12-16T09:41:33.000Z (about 13 years ago)
- Default Branch: master
- Last Pushed: 2021-08-18T13:58:18.000Z (over 3 years ago)
- Last Synced: 2024-12-23T02:06:47.464Z (8 days ago)
- Language: Java
- Homepage:
- Size: 1020 KB
- Stars: 359
- Watchers: 38
- Forks: 104
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-elasticsearch-cn - elasticsearch-analysis-mmseg
README
Mmseg Analysis for Elasticsearch
==================================
The Mmseg Analysis plugin integrates Lucene mmseg4j-analyzer:http://code.google.com/p/mmseg4j/ into elasticsearch, support customized dictionary.
The plugin ships with analyzers: `mmseg_maxword` ,`mmseg_complex` ,`mmseg_simple` and tokenizers: `mmseg_maxword` ,`mmseg_complex` ,`mmseg_simple` and token_filter: `cut_letter_digit` .
Versions
--------
Mmseg ver | ES version
-----------|-----------
master | 5.x -> master
5.5.2 | 5.5.2
5.4.3 | 5.4.3
5.3.2 | 5.3.2
5.2.2 | 5.2.2
5.1.2 | 5.1.2
1.10.1 | 2.4.1
1.9.5 | 2.3.5
1.8.1 | 2.2.1
1.7.0 | 2.1.1
1.5.0 | 2.0.0
1.4.0 | 1.7.0
1.3.0 | 1.6.0
1.2.1 | 0.90.2
1.1.2 | 0.20.1
Package
-------------
```
mvn package
```
Install
-------------
Unzip and place into elasticsearch's plugins folder, download plugin from here: https://github.com/medcl/elasticsearch-analysis-mmseg/releases
Install by command: `./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-mmseg/releases/download/v5.5.2/elasticsearch-analysis-mmseg-5.5.2.zip`
Mapping Configuration
-------------
Here is a quick example:
1.Create a index
```
curl -XPUT http://localhost:9200/index
```
2.Create a mapping
```
curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
{
"properties": {
"content": {
"type": "text",
"term_vector": "with_positions_offsets",
"analyzer": "mmseg_maxword",
"search_analyzer": "mmseg_maxword"
}
}
}'
```
3.Indexing some docs
```
curl -XPOST http://localhost:9200/index/fulltext/1 -d'
{"content":"美国留给伊拉克的是个烂摊子吗"}
'
curl -XPOST http://localhost:9200/index/fulltext/2 -d'
{"content":"公安部：各地校车将享最高路权"}
'
curl -XPOST http://localhost:9200/index/fulltext/3 -d'
{"content":"中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"}
'
curl -XPOST http://localhost:9200/index/fulltext/4 -d'
{"content":"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"}
'
```
4.Query with highlighting
```
curl -XPOST http://localhost:9200/index/fulltext/_search -d'
{
"query" : { "term" : { "content" : "中国" }},
"highlight" : {
"pre_tags" : ["", ""],
"post_tags" : ["", ""],
"fields" : {
"content" : {}
}
}
}
'
```
Here is the query result
```
{
"took": 14,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 2,
"hits": [
{
"_index": "index",
"_type": "fulltext",
"_id": "4",
"_score": 2,
"_source": {
"content": "中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
},
"highlight": {
"content": [
"中国驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首 "
]
}
},
{
"_index": "index",
"_type": "fulltext",
"_id": "3",
"_score": 2,
"_source": {
"content": "中韩渔警冲突调查：韩警平均每天扣1艘中国渔船"
},
"highlight": {
"content": [
"均每天扣1艘中国渔船 "
]
}
}
]
}
}
```
Have fun.