在输入的时候，都会给用户一个建议。
1.es中有三种建议器
Term suggester
Phrase suggester
Completion suggester
2.字段
3.Term suggester
term 词条建议器，对给输?的?本进?分词，为每个分词提供词项建议
POST /nba_lastest/_search
{
"suggest": {
"my-suggester": {
"text": "Stev",
"term": {
"suggest_mode": "missing",
"field": "displayNameEn"
}
}
}
}
效果：
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 0,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"suggest" : {
"my-suggester" : [
{
"text" : "stev",
"offset" : 0,
"length" : 4,
"options" : [
{
"text" : "seth",
"score" : 0.5,
"freq" : 2
},
{
"text" : "stein",
"score" : 0.5,
"freq" : 2
},
{
"text" : "steven",
"score" : 0.5,
"freq" : 2
}
]
}
]
}
}
4.Phrase suggester
phrase 短语建议，在term的基础上，会考量多个term之间的关系，?如是否同时出现在索 引的原??，相邻程度，以及词频等
POST /nba_lastest/_search
{
"suggest": {
"my-suggester": {
"text": "jamse harden",
"phrase": {
"field": "displayNameEn"
}
}
}
}
效果：
{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 0,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"suggest" : {
"my-suggester" : [
{
"text" : "jamse harden",
"offset" : 0,
"length" : 12,
"options" : [
{
"text" : "james harden",
"score" : 0.0036367897
},
{
"text" : "jamal harden",
"score" : 0.0022790073
},
{
"text" : "jake harden",
"score" : 0.001686592
},
{
"text" : "jose harden",
"score" : 0.001686592
}
]
}
]
}
}
5.Completion suggester Completion 完成建议
这里需要的是将字段的type修改为competition
原文：https://www.cnblogs.com/juncaoit/p/12820011.html