jieba analysis plugin for elasticsearch: 6.0.0, 5.4.0, 5.3.0, 5.2.2, 5.2.1, 5.2.0, 5.1.2, 5.1.1
| 分支 | tag | elasticsearch版本 | Release Link |
|---|---|---|---|
| 6.0.0 | tag v6.0.0 | v6.0.0 | Download: v6.0.0 |
| 5.4.0 | tag v5.4.0 | v5.4.0 | Download: v5.4.0 |
| 5.3.0 | tag v5.3.0 | v5.3.0 | Download: v5.3.0 |
| 5.2.2 | tag v5.2.2 | v5.2.2 | Download: v5.2.2 |
| 5.2.1 | tag v5.2.1 | v5.2.1 | Download: v5.2.1 |
| 5.2 | tag v5.2.0 | v5.2.0 | Download: v5.2.0 |
| 5.1.2 | tag v5.1.2 | v5.1.2 | Download: v5.1.2 |
| 5.1.1 | tag v5.1.1 | v5.1.1 | Download: v5.1.1 |
- choose right version source code.
- run
gradle pz- copy the zip file to plugin directory
cp build/distributions/elasticsearch-jieba-plugin-5.1.2.zip ${path.home}/plugins- unzip and rm zip file
unzip elasticsearch-jieba-plugin-5.1.2.zip
rm elasticsearch-jieba-plugin-5.1.2.zip- start elasticsearch
./bin/elasticsearchJust put you dict file with suffix .dict into ${path.home}/plugins/jieba/dic. Your dict file should like this:
小清新 3
百搭 3
显瘦 3
隨身碟 100
your_word word_freq
- find stopwords.txt in ${path.home}/plugins/jieba/dic.
- create folder named stopwords under ${path.home}/config
mkdir -p {path.home}/config/stopwords- copy stopwords.txt into the folder just created
cp ${path.home}/plugins/jieba/dic/stopwords.txt {path.home}/config/stopwords- create index:
PUT http://localhost:9200/jieba_index{
"settings": {
"analysis": {
"filter": {
"jieba_stop": {
"type": "stop",
"stopwords_path": "stopwords/stopwords.txt"
},
"jieba_synonym": {
"type": "synonym",
"synonyms_path": "synonyms/synonyms.txt"
}
},
"analyzer": {
"my_ana": {
"tokenizer": "jieba_index",
"filter": [
"lowercase",
"jieba_stop",
"jieba_synonym"
]
}
}
}
}
}- test analyzer:
GET http://localhost:9200/jieba_index/_analyze?analyzer=my_ana&text=中国的伟大时代来临了，欢迎参观北京大学PKUResponse as follow:
{
"tokens": [
{
"token": "中国",
"start_offset": 0,
"end_offset": 2,
"type": "word",
"position": 0
},
{
"token": "伟大",
"start_offset": 3,
"end_offset": 5,
"type": "word",
"position": 2
},
{
"token": "时代",
"start_offset": 5,
"end_offset": 7,
"type": "word",
"position": 3
},
{
"token": "来临",
"start_offset": 7,
"end_offset": 9,
"type": "word",
"position": 4
},
{
"token": "欢迎",
"start_offset": 11,
"end_offset": 13,
"type": "word",
"position": 7
},
{
"token": "参观",
"start_offset": 13,
"end_offset": 15,
"type": "word",
"position": 8
},
{
"token": "北京",
"start_offset": 15,
"end_offset": 17,
"type": "word",
"position": 9
},
{
"token": "大学",
"start_offset": 17,
"end_offset": 19,
"type": "word",
"position": 10
},
{
"token": "北京大",
"start_offset": 15,
"end_offset": 18,
"type": "word",
"position": 11
},
{
"token": "北京大学",
"start_offset": 15,
"end_offset": 19,
"type": "word",
"position": 12
},
{
"token": "北大",
"start_offset": 15,
"end_offset": 19,
"type": "SYNONYM",
"position": 12
},
{
"token": "pku",
"start_offset": 15,
"end_offset": 19,
"type": "SYNONYM",
"position": 12
},
{
"token": "pku",
"start_offset": 19,
"end_offset": 22,
"type": "word",
"position": 13
},
{
"token": "北大",
"start_offset": 19,
"end_offset": 22,
"type": "SYNONYM",
"position": 13
},
{
"token": "北京大学",
"start_offset": 19,
"end_offset": 22,
"type": "SYNONYM",
"position": 13
}
]
}- Pay attention to *jieba_synonym, same with jieba_stop, the format of synoyms.txt:
北京大学,北大,pku
清华大学,清华,Tsinghua University- create document
POST http://localhost:9200/jieba_index/fulltext/1{"content":"中国的伟大时代来临了，欢迎参观北京大学PKU"}- search
POST http://localhost:9200/jieba_index/fulltext/_searchRequest body:
{
"query" : { "match" : { "content" : "pku" }},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {}
}
}
}Response body:
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.52305835,
"hits": [
{
"_index": "jieba_index",
"_type": "fulltext",
"_id": "1",
"_score": 0.52305835,
"_source": {
"content": "中国的伟大时代来临了，欢迎参观北京大学PKU"
},
"highlight": {
"content": [
"中国的伟大时代来临了，欢迎参观<tag1>北京大学</tag1><tag1>PKU</tag1>"
]
}
}
]
}
}- 聚合示例（aggregation）
Query:
{
"query": {
"match": {
"name": "lala"
}
},
"_source": [
"name"
],
"aggs": {
"dedup": {
"terms": {
"field": "your_agg_field"
},
"aggs": {
"dedup_docs": {
"top_hits": {
"sort": [
{
"updatedAt": {
"order": "desc"
}
}
],
"_source": {
"includes": [
"name"
]
},
"size": 2
}
}
}
},
"facets": {
"terms": {
"field": "your_facet_field"
},
"aggs": {
"facets_docs": {
"top_hits": {
"sort": [
{
"updatedAt": {
"order": "desc"
}
}
],
"_source": {
"includes": [
"name"
]
},
"size": 1
}
}
}
}
}
}migrate from jieba-solr
I will add more analyzer support:
- stanford chinese analyzer
- fudan nlp analyzer
- ...
If you have some ideas, you should create an issue. Then, we will do it together.