二、問(wèn)題

在做一個(gè)需求的時(shí)候，需要按照電話號(hào)碼查詢用戶關(guān)系，所以我這邊先講相關(guān)信息同步到es，但是電話號(hào)碼是加密的，所以顯示的字符串是雜亂的，既有字母，又有斜杠等號(hào)等字符，在進(jìn)行分詞查詢的時(shí)候匹配不到相應(yīng)的數(shù)據(jù)，所以需要對(duì)電話號(hào)碼字段指定為不分詞的查詢即完全匹配

三、解決

import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
import org.springframework.data.elasticsearch.annotations.Field;
import org.springframework.data.elasticsearch.annotations.FieldIndex;


@Document(indexName = "address_index",type = "t_address")
public class Address{
  
    @Id
    private Long id ;

    private String address;

    private String province;

    private String city;

    //@Field(type = FieldType.String , index = FieldIndex.not_analyzed)
    @Field(index = FieldIndex.not_analyzed)
    private String mobile;

    public static long getSerialVersionUID() {
        return serialVersionUID;
    }

    public Long getId() {
        return id;
    }

    public void setId(Long id) {
        this.id = id;
    }

    public String getAddress() {
        return address;
    }

    public void setAddress(String address) {
        this.address = address;
    }

    public String getProvince() {
        return province;
    }

    public void setProvince(String province) {
        this.province = province;
    }

    public String getCity() {
        return city;
    }

    public void setCity(String city) {
        this.city = city;
    }

    public String getMobile() {
        return mobile;
    }

    public void setMobile(String mobile) {
        this.mobile = mobile;
    }

在代碼中指定某個(gè)字段不進(jìn)行分詞搜索時(shí)候，需要對(duì)其類型進(jìn)行指定，否則查看索引如下圖

not_analyzed.png

如果指定了字段類型，并且該字段不進(jìn)行分詞搜索，則可以看到其index為not_analyzed

analyzed.png

四、es后臺(tái)管理使用遇到的問(wèn)題

{
    "query": {
        "bool": {
            "filter": {
                "terms": {
                    "userNo": ["5832794"]
                }
            }
        }
    }
}

image.png

記住這里的查詢，方法提交方式是POST、POST、POST