[英]Ignore absent property when mapping json response
I have a form that should return list of customers. 我有一张表格,应该返回客户列表。
This form should behave differently in two case: 在两种情况下,此表单的行为应有所不同:
In the first case the json response has less fields than the response in the second case so I have to ignore all these fields. 在第一种情况下,json响应的字段少于第二种情况下的响应,因此我必须忽略所有这些字段。
I've tried using @JsonInclude(JsonInclude.Include.NON_ABSENT)
, @JsonInclude(JsonInclude.Include.NON_EMPTY)
and @JsonInclude(JsonInclude.Include.NON_NULL)
but with each and everyone of these the error returned is always the same: 我试过使用
@JsonInclude(JsonInclude.Include.NON_ABSENT)
, @JsonInclude(JsonInclude.Include.NON_EMPTY)
和@JsonInclude(JsonInclude.Include.NON_NULL)
但对于每个返回的错误,总是相同的:
java.lang.Exception: Could not write content: (was java.lang.NullPointerException) (through reference chain: it.gruppoitas.itasacquire.pojo.Cliente["DATA_NASCITA"]); nested exception is com.fasterxml.jackson.databind.JsonMappingException: (was java.lang.NullPointerException) (through reference chain: it.gruppoitas.itasacquire.pojo.Cliente["DATA_NASCITA"])
This is the pojo Cliente: 这是pojo Cliente:
package it.gruppoitas.itasacquire.pojo;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
@JsonInclude(JsonInclude.Include.NON_ABSENT)
public class Cliente {
@JsonProperty("TIPO_PERSONA")
private String tipoPersona;
@JsonProperty("PRO_CLIE")
private String proClie;
@JsonProperty("CODICE_FISCALE")
private String codiceFiscale;
@JsonProperty("DATA_NASCITA")
private String dataNascita;
@JsonProperty("SESSO")
private String sesso;
@JsonProperty("NOME")
private String nome;
@JsonProperty("COGNOME")
private String cognome;
public String getTipoPersona() {
return tipoPersona;
}
public void setTipoPersona(String tipoPersona) {
this.tipoPersona = tipoPersona;
}
public String getProClie() {
return proClie;
}
public void setProClie(String proClie) {
this.proClie = proClie;
}
public String getCodiceFiscale() {
return codiceFiscale;
}
public void setCodiceFiscale(String codiceFiscale) {
this.codiceFiscale = codiceFiscale;
}
public String getDataNascita() {
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.S");
Date data = null;
try {
data = sdf.parse(dataNascita);
dataNascita = new SimpleDateFormat("dd/MM/yyyy").format(data);
} catch (ParseException e) {
System.err.println(e);
}
return dataNascita;
}
public void setDataNascita(String dataNascita) {
this.dataNascita = dataNascita;
}
public String getSesso() {
return sesso;
}
public void setSesso(String sesso) {
this.sesso = sesso;
}
public String getNome() {
return nome;
}
public void setNome(String nome) {
this.nome = nome;
}
public String getCognome() {
return cognome;
}
public void setCognome(String cognome) {
this.cognome = cognome;
}
@Override
public String toString() {
return "Cliente [tipoPersona=" + tipoPersona + ", proClie=" + proClie + ", codiceFiscale=" + codiceFiscale + ", dataNascita="
+ dataNascita + ", sesso=" + sesso + ", nome=" + nome + ", cognome=" + cognome + "]";
}}
Any idea? 任何想法?
EDIT: this is an example of the json response structure in case 1 编辑:这是案例1中json响应结构的示例
{
"TIPO_PERSONA" : "G",
"PRO_CLIE" : "123456789",
"CODICE_FISCALE" : "123456789",
"PARTITA_IVA" : "123456789",
"SESSO" : "S",
"COGNOME" : "CUSTOMER SRL"
}
And this is an example of the json response in case 2: 这是案例2中json响应的示例:
{
"TIPO_PERSONA" : "F",
"PRO_CLIE" : "123456789",
"CODICE_FISCALE" : "123456789",
"DATA_NASCITA" : "1969-09-07 00:00:00.0",
"SESSO" : "F",
"NOME" : "Foo",
"COGNOME" : "Fie"
}
As you can see there are less fields in case 1 and STS goes in full-panic mode... 如您所见,情况1的字段减少了,STS进入全恐慌模式...
You need to configure your object mapper not to fail on empty beans. 您需要配置对象映射器,使其在空bean上不失败。
Here is a sample code since you didn't provide the creation of the ObjectMapper
code yourself: 这是示例代码,因为您没有自己提供
ObjectMapper
代码的创建:
private ObjectMapper jacksonMapper = new ObjectMapper();
jacksonMapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false);
jacksonMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
您还可以使用:
jacksonMapper.configure(DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES,false);
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