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**渔船"}
'
curl -XPOST http://localhost:9200/index/fulltext/4 -d'
{"content":"**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" : "**" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"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": "**驻洛杉矶领事馆遭亚裔男子枪击 嫌犯已自首"
},
"highlight": {
"content": [
"<tag1>**</tag1>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**渔船"
},
"highlight": {
"content": [
"均每天扣1艘<tag1>**</tag1>渔船 "
]
}
}
]
}
}
Have fun.
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