elasticsearch-dsl-py

可以借助接口帮我们分词
GET _analyze
{
"analyzer": "ik_smart",
"text": "python工程师"
}
es搜索
jobbole：index
article:type
1、match 会对输入的查询进行分词
GET jobbole/article/_search
{
"query" : {
"match " : { "content" : "27" }
}
}
2、term 不会对输入查询进行分词，进行全量匹配，但可以传递数据进行匹配
GET jobbole/article/_search
{
"query" : {
//"term" : { "content" : "27" }
"term" : { "content" : ["27","29","30"] }
},
"from":1,
"size":3
}
3、match_all 全查，{}为空
GET jobbole/article/_search
{
"query" : {
"match_all" : {}
}
}
3、match_phrase 会将查询先分词，查询结果包含全部分词才行，slop标示分词之间的距离，小于就不行
GET jobbole/article/_search
{
"query" : {
"match_phrase" : {
"content": {
"query": "python视频",
"slop":3
}}
}
}
4、multi_match 多个字段中，匹配查询条件
GET jobbole/article/_search
{
"query" : {
"multi_match" : {
"query": "python",
"fields": ["content","url"]
}
}
}
5、返回指定字段，前提是mapping中该字段的 store属性为true
GET jobbole/article/_search
{
"query" : {
"match" : {
"content": "python"
}
},
"stored_fields": ["content"]
}
6、还有sort之类的就不列了，看文档去
7、通配符查询
GET jobbole/article/_search
{
"query" : {
"wildcard" : {
"content": {"value": "pyth*n","boost": 2}
}
}
}
8、组合查询 bool查询
GET jobbole/article/_search
{
"query" : {
"bool": {
"must": [
{"match": {
"FIELD": "TEXT"
}}
],
"filter": {"term": {
"FIELD": "VALUE"
}},
"must_not": [
{}
],
"should": [
{}
]
}
}
}
9、高量查询默认高亮词会用<em>和</em>包围，你可以通过pre_tags 和 post_tags修改它：
GET jobbole/article/_search
{
"query" : {
"match": { "content": "小姐姐" }
},
"highlight" : {
"pre_tags" : ["<tag1>", "<tag2>"],
"post_tags" : ["</tag1>", "</tag2>"],
"fields" : {
"content" : {"type" : "plain"}
}
}
}

10、联想词（Suggesters）
POST jobbole/article/_search
{
"query" : {
"match": {
"content": "。。。"
}
},
"suggest" : {
"my-suggestion" : {
"text" : "",
"term" : {
"field" : "content"
}
}
}
}