ElasticSearch常用操作
Posted 零度anngle
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head插件安装（google）本地访问地址：http://127.0.0.1:9200/_plugin/head/
RESTful接口URL的格式：
http://localhost:9200/<index>/<type>/[<id>]
1、使用对应分词器进行分析：
url：http://127.0.0.1:9200/i_entity/_analyze?analyzer=pinyin&pretty=true
body："text":"中国人民"
method：POST
2、 索引文档的创建：
url：http://127.0.0.1:9200/song001/list001/1
body："number":32768,"singer":"杨坤","size":"5109132","song":"今夜二十岁","tag":"中国好声音","timelen":319
method：PUT
3、索引文档的查询：
url：http://127.0.0.1:9200/song001/list001/1
method：GET
4、索引文档的更新（和创建是一样的，索引版本递增；created字段是false，表示这次不是新建而是更新）
url：http://127.0.0.1:9200/song001/list001/1
body："number":32768,"singer":"杨坤","size":"5109132","song":"今夜二十岁","tag":"中国好声音","timelen":319
method：PUT
5、索引文档的删除
url：http://127.0.0.1:9200/song001/list001/1
method：DELETE
6、索引删除
url：http://127.0.0.1:9200/index-*
method：DELETE
----------------------------------------------------
7、使用分词器分析
url：http://127.0.0.1:9200/new_zxsy/_analyze?analyzer=pinyinSimpleIndexAnalyzer&pretty=true
method：POST
body："text":"未来简史"
ES默认分词器：ik_max_word，ik_smart,pinyin,pinyin_first_letter,NGram,Edge_NGram
"edge_ngram_filter":
"type": "edge_ngram",
"min_gram": 1,
"max_gram": 50
,
8、聚合查询
-------------------------------------------------
（1）求field的平均值
http://127.0.0.1:9200/i_entity/t_entity/_search?search_type=count
"query":
"match_all":
,
"aggs":
"avg_score":
"avg":
"field": "score"
注：avg_score为自定义
9、ES Java API查询
---------------------------------------------------
SearchQuery searchQuery = new NativeSearchQueryBuilder()
.withQuery(里面各种QueryBuilders.xxxQuery)
.withIndices("i_entity")
.withTypes("t_entity")
.withSort(SortBuilders.scoreSort())
.withPageable(pageable) //Pageable pageable = new PageRequest(Long.valueOf(0).intValue(), Long.valueOf(10).intValue());
.build()
QueryBuilders.boolQuery() //连接多个查询
QueryBuilders.termQuery("name", "人类简") //精确匹配
QueryBuilders.matchQuery("name", "人类简") //分词匹配
QueryBuilders.matchQuery("name", "人类简").operator(Operator.AND) //可以使用Operator.AND使所有分词以AND的形式匹配，默认是OR
QueryBuilders.prefixQuery("name", "中国");
9、term精确匹配
"query":
"bool":
"should": [
"term":
"pinyin": "w"
,
"term":
"jianpin": "wei"
]
,
"from": 0,
"size": 100
10、match分词匹配
"query":
"multi_match":
"query": "未来",
"fields": [
"name"，"pinyin","jianpin"
]
,
"from": 0,
"size": 10,
"sort": [],
"aggs":
_search
"query":
"multi_match":
"query": "未来",
"fields": [
"zhongwen^3",
"pinyin",
"jianpin"
],
"type":"best_fields"
,
"from": 0,
"size": 10,
"sort": [],
"aggs":
"query":
"multi_match":
"query": "wlj",
"fields": [
"zhongwen^10",
"pinyin^3",
"jianpin"
]
,
"from": 0,
"size": 10,
"sort": [],
"aggs":
12 ------------Bool搜索-------------------
http://127.0.0.1:9200/zxsy/goodsearch/_search
post
"query":
"bool":
"should": [
"multi_match":
"query": "li xiao lai",
"fields": [
"goodsName^5",
"goodsFullPinyin^3",
"goodsPinyin^3",
"goodsJianpin"
],
"type": "best_fields"
,
"multi_match":
"query": "li xiao lai",
"fields": [
"author",
"authorFullPinyin",
"authorPinyin",
"authorJianpin"
],
"type": "best_fields"
,
"multi_match":
"query": "li xiao lai",
"fields": [
"speakerName",
"speakerFullPinyin",
"speakerPinyin",
"speakerJianpin"
],
"type": "best_fields"
]
,
"from": 0,
"size": 10
------------------------------------------------------------
"query":
"bool":
"should": [
"multi_match":
"query": "未来",
"fields": [
"goodsName^5",
"author^3",
"speakerName"
],
"type": "best_fields"
,
"multi_match":
"query": "未来",
"fields": [
"goodsPinyin^5",
"authorPinyin^3",
"speakerPinyin"
],
"type": "best_fields"
,
"multi_match":
"query": "未来",
"fields": [
"goodsJianpin^5",
"authorJianpin^3",
"speakerJianpin"
],
"type": "best_fields"
,
"multi_match":
"query": "未来",
"fields": [
"goodsFullPinyin^5",
"authorFullPinyin^3",
"speakerFullPinyin"
],
"type": "best_fields"
]
,
"from": 0,
"size": 10
"query":
"bool":
"should": [
"multi_match":
"query": "未来简史",
"fields": [
"goodsName^5",
"author^3",
"speakerName"
],
"type": "best_fields"
,
"multi_match":
"query": "weilaijianshi",
"fields": [
"goodsPinyin^5",
"authorPinyin^3",
"speakerPinyin"
],
"type": "best_fields"
,
"multi_match":
"query": "未来简史",
"fields": [
"goodsJianpin^5",
"authorJianpin^3",
"speakerJianpin"
],
"type": "best_fields"
,
"multi_match":
"query": "weilaijianshi",
"fields": [
"goodsFullPinyin^5",
"authorFullPinyin^3",
"speakerFullPinyin"
],
"type": "best_fields"
]
,
"from": 0,
"size": 10
"tie_breaker": "0.3"
-----------------------------------------------
13、为索引添加别名
-----------------------------------------------
url： http://127.0.0.1:9200/new_zxsy/_aliases
method： PUT
body：
"actions": [
"add":
"index": "new_zxsy",
"alias": "alias_zxsy_search"
]
14、删除索引别名
-------------------------------------
url：http://127.0.0.1:9200/zxsy/_aliases/
method：PUT
body：
"actions": [
"remove":
"index": "zxsy",
"alias": "alias_zxsy"
]
14、使用自定义得分搜索
---------------------------------------
"query":
"function_score":
"query":
"multi_match":
"query": "简史",
"fields": [
"goodsName^10",
"goodsFullPinyin",
"author^2",
"speakerName"
]
,
"field_value_factor":
"field": "goodsId",
"modifier": "none",
"factor": 0.1
,
"boost_mode": "sum"
,
"from": 0,
"size": 10,
"sort": [],
"aggs":
"query":
"function_score":
"query":
"multi_match":
"query": "简史",
"fields": [
"goodsName^10",
"goodsFullPinyin",
"author^2",
"speakerName"
]
,
"field_value_factor":
"field": "attentWeight",
"modifier": "log1p",
"factor": 1.0
,
"boost_mode": "sum"
,
"from": 0,
"size": 50,
"sort": [],
"aggs":
---------------------------------
15、搜索增加多级排序
"query":
"multi_match":
"query": "简史",
"fields": [
"goodsName^10",
"goodsFullPinyin",
"author^2",
"speakerName"
]
,
"from": 0,
"size": 15,
"sort": [
"_score":
"order": "desc"
,
"goodsId":
"order": "desc"
],
"aggs":
16、------------聚合统计-自定义：return_goodsType_count-------------
"query":
"multi_match":
"query": "简史",
"fields": [
"goodsName^10",
"goodsFullPinyin",
"author^2",
"speakerName"
]
,
"size": 0,
"aggs":
"return_goodsType_count":
"terms":
"field": "goodsType"
17--------------前缀搜索与模糊搜索---------------
"query":
"bool":
"should": [
"query":
"prefix":
"goodsNameNotAnalyzed":
"value": "大咖"
,
"query":
"wildcard":
"goodsNameNotAnalyzed": "*大咖*"
,
"query":
"prefix":
"goodsFullPinyin":
"value": "dakalin"
,
"query":
"wildcard":
"goodsFullPinyin": "*dakalin*"
]
,
"from": 0,
"size": 15,
"sort": [
"_score":
"order": "desc"
,
"clickCount":
"order": "desc"
],
"aggs":
-------------------------------------
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