Serialization of the received stratistics into a json file - java
Good afternoon! I am new to JAVA and JSON. I'm using Jackson. The program does the following from the incoming JSON file:
Gives out a list of people between the ages of 20 and 30;
Unique list of cities;
The number of people with an age interval of 0-10, 11-20, 21-30, etc.
The program consists of two classes
Main.java
package com.testsample;
import com.fasterxml.jackson.core.JsonParseException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.*;
import java.util.stream.Collectors;
public class Main {
public static void main(String[] args) {
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new JavaTimeModule());
try {
List<Data> data = Arrays.asList(mapper.readValue(Paths.get("C:\\dataClients.json").toFile(), Data[].class));
List<Data> age20to30 = data
.stream()
.filter(p -> p.getAge() >= 20 && p.getAge() < 30)
.sorted(Comparator.comparing(p -> p.getLastName() + " " + p.getFirstName()))
.collect(Collectors.toList());
age20to30.forEach(System.out::println);
Set<String> cities = data
.stream()
.map(Data::getCity)
.collect(Collectors.toCollection(TreeSet::new));
cities.forEach(System.out::println);
Map<String, Long> byAges = data
.stream()
.collect(Collectors.groupingBy(Data::getAgeGroup, TreeMap::new, Collectors.counting()));
System.out.println(byAges);
} catch (JsonParseException jsonParseException) {
jsonParseException.printStackTrace();
} catch (JsonMappingException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}
Data.java
package com.testsample;
import com.fasterxml.jackson.annotation.JsonFormat;
import com.fasterxml.jackson.annotation.JsonIgnore;
import java.time.LocalDate;
import java.time.Period;
public class Data {
private int id;
private String firstName;
private String lastName;
private LocalDate dateOfBirth;
private String city;
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public String getFirstName() {
return firstName;
}
public void setFirstName(String firstName) {
this.firstName = firstName;
}
public String getLastName() {
return lastName;
}
public void setLastName(String lastName) {
this.lastName = lastName;
}
public String getCity() {
return city;
}
public void setCity(String city) {
this.city = city;
}
Data() {
}
#JsonFormat(shape = JsonFormat.Shape.STRING, pattern = "yyyy-MM-dd")
public LocalDate getDateOfBirth() {
return dateOfBirth;
}
public void setDateOfBirth(LocalDate dob) {
if (dob.isAfter(LocalDate.now())) {
dob = dob.minusYears(100);
}
this.dateOfBirth = dob;
}
public Data(int id, String firstName, String lastName, String city, LocalDate dateOfBirth) {
this.id = id;
this.firstName = firstName;
this.lastName = lastName;
this.city = city;
this.dateOfBirth = dateOfBirth;
}
#JsonIgnore
public int getAge() {
return Period.between(dateOfBirth, LocalDate.now()).getYears();
}
#JsonIgnore
public String getAgeGroup() {
int age = getAge();
if (age < 11) {
return "0..10";
}
return (age / 10 * 10 + 1) + ".." + ((age / 10 + 1) * 10);
}
#Override
public String toString() {
return "[id = " + id + ", age=" + getAge() + ", firstName = " + firstName + ", lastName = " + lastName + ", dateOfBirth = " + dateOfBirth + ", city = " + city + "]";
}
}
Json file
[
{
"id": "1",
"firstName": "Lesley",
"lastName": "Bryan",
"dateOfBirth": "1961-11-28",
"city": "Southampton–Portsmouth"
},
{
"id": "2",
"firstName": "Edward",
"lastName": "Houston",
"dateOfBirth": "1992-10-05",
"city": "Southampton–Portsmouth"
},
{
"id": "3",
"firstName": "Donald",
"lastName": "Ross",
"dateOfBirth": "1979-12-10",
"city": "Glasgow"
},
{
"id": "4",
"firstName": "Peter",
"lastName": "Kelly",
"dateOfBirth": "2004-03-17",
"city": "Birmingham–Wolverhampton"
},
{
"id": "5",
"firstName": "Anthony",
"lastName": "McKinney",
"dateOfBirth": "1968-03-06",
"city": "Liverpool"
},
{
"id": "6",
"firstName": "David",
"lastName": "Stewart",
"dateOfBirth": "1973-04-11",
"city": "Leeds–Bradford"
},
{
"id": "7",
"firstName": "Christopher",
"lastName": "Austin",
"dateOfBirth": "1974-12-28",
"city": "Birmingham–Wolverhampton"
},
{
"id": "8",
"firstName": "Alvin",
"lastName": "Hodge",
"dateOfBirth": "1958-11-25",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "9",
"firstName": "Gerald",
"lastName": "Higgins",
"dateOfBirth": "1955-06-28",
"city": "Liverpool"
},
{
"id": "10",
"firstName": "Amos",
"lastName": "Owens",
"dateOfBirth": "2001-01-16",
"city": "Manchester-Salford"
},
{
"id": "11",
"firstName": "Christian",
"lastName": "Bishop",
"dateOfBirth": "1950-11-14",
"city": "Nottingham"
},
{
"id": "12",
"firstName": "Robert",
"lastName": "Caldwell",
"dateOfBirth": "1980-12-08",
"city": "Manchester-Salford"
},
{
"id": "13",
"firstName": "Brian",
"lastName": "Heath",
"dateOfBirth": "2002-09-23",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "14",
"firstName": "Mark",
"lastName": "Anthony",
"dateOfBirth": "1992-01-08",
"city": "London"
},
{
"id": "15",
"firstName": "Mark",
"lastName": "Watson",
"dateOfBirth": "1991-07-27",
"city": "Nottingham"
},
{
"id": "16",
"firstName": "Charles",
"lastName": "Stafford",
"dateOfBirth": "1990-01-26",
"city": "Birmingham–Wolverhampton"
},
{
"id": "17",
"firstName": "Steven",
"lastName": "Merritt",
"dateOfBirth": "1963-12-04",
"city": "Leeds–Bradford"
},
{
"id": "18",
"firstName": "John",
"lastName": "Holmes",
"dateOfBirth": "1952-04-22",
"city": "Southampton–Portsmouth"
},
{
"id": "19",
"firstName": "Mervin",
"lastName": "Lewis",
"dateOfBirth": "1995-10-27",
"city": "Birmingham–Wolverhampton"
},
{
"id": "20",
"firstName": "Peter",
"lastName": "Marsh",
"dateOfBirth": "1963-12-10",
"city": "Glasgow"
},
{
"id": "21",
"firstName": "Piers",
"lastName": "Harrington",
"dateOfBirth": "1985-04-27",
"city": "London"
},
{
"id": "22",
"firstName": "Matthew",
"lastName": "O’Brien’",
"dateOfBirth": "1959-01-19",
"city": "Manchester-Salford"
},
{
"id": "23",
"firstName": "Blaze",
"lastName": "Williamson",
"dateOfBirth": "1959-11-26",
"city": "Leeds–Bradford"
},
{
"id": "24",
"firstName": "Ethan",
"lastName": "Harrison",
"dateOfBirth": "1999-08-27",
"city": "Southampton–Portsmouth"
},
{
"id": "25",
"firstName": "Blake",
"lastName": "Dennis",
"dateOfBirth": "2003-09-12",
"city": "Manchester-Salford"
},
{
"id": "26",
"firstName": "Isaac",
"lastName": "Jordan",
"dateOfBirth": "1994-08-08",
"city": "London"
},
{
"id": "27",
"firstName": "Winfred",
"lastName": "Washington",
"dateOfBirth": "1977-04-24",
"city": "Sheffield"
},
{
"id": "28",
"firstName": "Brent",
"lastName": "Hoover",
"dateOfBirth": "1986-09-28",
"city": "Sheffield"
},
{
"id": "29",
"firstName": "Jacob",
"lastName": "Benson",
"dateOfBirth": "1954-12-04",
"city": "Sheffield"
},
{
"id": "30",
"firstName": "Thomas",
"lastName": "Martin",
"dateOfBirth": "1954-11-18",
"city": "London"
},
{
"id": "31",
"firstName": "Ferdinand",
"lastName": "Douglas",
"dateOfBirth": "1989-01-28",
"city": "Southampton–Portsmouth"
},
{
"id": "32",
"firstName": "Cecil",
"lastName": "Sutton",
"dateOfBirth": "1982-08-16",
"city": "Leeds–Bradford"
},
{
"id": "33",
"firstName": "Peter",
"lastName": "Warner",
"dateOfBirth": "1950-03-13",
"city": "Birmingham–Wolverhampton"
},
{
"id": "34",
"firstName": "Williamя",
"lastName": "Gallagher",
"dateOfBirth": "1997-01-04",
"city": "Nottingham"
},
{
"id": "35",
"firstName": "Frank",
"lastName": "Hensley",
"dateOfBirth": "1980-03-15",
"city": "Sheffield"
},
{
"id": "36",
"firstName": "David",
"lastName": "Summers",
"dateOfBirth": "1981-08-01",
"city": "Sheffield"
},
{
"id": "37",
"firstName": "Melvin",
"lastName": "Allison",
"dateOfBirth": "1982-10-08",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "38",
"firstName": "Robert",
"lastName": "Bell",
"dateOfBirth": "1966-06-27",
"city": "Glasgow"
},
{
"id": "39",
"firstName": "Edward",
"lastName": "Gordon",
"dateOfBirth": "1986-07-20",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "40",
"firstName": "Charles",
"lastName": "Hicks",
"dateOfBirth": "1960-06-12",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "41",
"firstName": "Joshua",
"lastName": "Wheeler",
"dateOfBirth": "1979-02-11",
"city": "Southampton–Portsmouth"
},
{
"id": "42",
"firstName": "Leonard",
"lastName": "Hall",
"dateOfBirth": "1974-09-16",
"city": "Southampton–Portsmouth"
},
{
"id": "43",
"firstName": "Jerome",
"lastName": "Hill",
"dateOfBirth": "2002-06-04",
"city": "Liverpool"
},
{
"id": "44",
"firstName": "Matthew",
"lastName": "Hawkins",
"dateOfBirth": "1968-02-22",
"city": "Birmingham–Wolverhampton"
},
{
"id": "45",
"firstName": "Archibald",
"lastName": "Russell",
"dateOfBirth": "1965-10-29",
"city": "Manchester-Salford"
},
{
"id": "46",
"firstName": "Charles",
"lastName": "Little",
"dateOfBirth": "1954-09-07",
"city": "Glasgow"
},
{
"id": "47",
"firstName": "Neil",
"lastName": "Dean",
"dateOfBirth": "1979-12-31",
"city": "Sheffield"
},
{
"id": "48",
"firstName": "Jeremy",
"lastName": "Norris",
"dateOfBirth": "1955-07-21",
"city": "Glasgow"
},
{
"id": "49",
"firstName": "Christopher",
"lastName": "Holland",
"dateOfBirth": "1994-10-25",
"city": "Sheffield"
},
{
"id": "50",
"firstName": "Myron",
"lastName": "Carroll",
"dateOfBirth": "1982-01-16",
"city": "Glasgow"
},
{
"id": "51",
"firstName": "Hugo",
"lastName": "Long",
"dateOfBirth": "1962-05-25",
"city": "Leeds–Bradford"
},
{
"id": "52",
"firstName": "David",
"lastName": "Thornton",
"dateOfBirth": "1969-02-02",
"city": "Birmingham–Wolverhampton"
},
{
"id": "53",
"firstName": "David",
"lastName": "Eaton",
"dateOfBirth": "1960-02-27",
"city": "Southampton–Portsmouth"
},
{
"id": "54",
"firstName": "Abner",
"lastName": "Joseph",
"dateOfBirth": "1960-01-29",
"city": "Liverpool"
},
{
"id": "55",
"firstName": "Ethan",
"lastName": "McDowell",
"dateOfBirth": "1983-07-11",
"city": "Sheffield"
},
{
"id": "56",
"firstName": "Anthony",
"lastName": "Barton",
"dateOfBirth": "1972-12-09",
"city": "Glasgow"
},
{
"id": "57",
"firstName": "Anthony",
"lastName": "Green",
"dateOfBirth": "2003-01-26",
"city": "Birmingham–Wolverhampton"
},
{
"id": "58",
"firstName": "Ronald",
"lastName": "Gilbert",
"dateOfBirth": "1988-05-28",
"city": "Leeds–Bradford"
},
{
"id": "59",
"firstName": "Brendan",
"lastName": "White",
"dateOfBirth": "1975-07-02",
"city": "Glasgow"
},
{
"id": "60",
"firstName": "Christopher",
"lastName": "Richards",
"dateOfBirth": "1979-09-23",
"city": "Manchester-Salford"
},
{
"id": "61",
"firstName": "Buck",
"lastName": "Sanders",
"dateOfBirth": "1956-05-03",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "62",
"firstName": "Griffin",
"lastName": "Cannon",
"dateOfBirth": "1962-01-05",
"city": "Leeds–Bradford"
},
{
"id": "63",
"firstName": "Evan",
"lastName": "Nichols",
"dateOfBirth": "1960-01-18",
"city": "Birmingham–Wolverhampton"
},
{
"id": "64",
"firstName": "Peregrine",
"lastName": "Horton",
"dateOfBirth": "1960-10-11",
"city": "Liverpool"
},
{
"id": "65",
"firstName": "Paul",
"lastName": "Hampton",
"dateOfBirth": "1991-08-06",
"city": "Sheffield"
},
{
"id": "66",
"firstName": "Jacob",
"lastName": "Fox",
"dateOfBirth": "1983-05-18",
"city": "Sheffield"
},
{
"id": "67",
"firstName": "John",
"lastName": "Griffith",
"dateOfBirth": "1971-01-03",
"city": "Birmingham–Wolverhampton"
},
{
"id": "68",
"firstName": "Jack",
"lastName": "May",
"dateOfBirth": "1984-09-28",
"city": "Nottingham"
},
{
"id": "69",
"firstName": "Harold",
"lastName": "Owen",
"dateOfBirth": "1965-08-17",
"city": "Southampton–Portsmouth"
},
{
"id": "70",
"firstName": "Abraham",
"lastName": "Hardy",
"dateOfBirth": "1981-10-26",
"city": "Manchester-Salford"
},
{
"id": "71",
"firstName": "Frederick",
"lastName": "Allen",
"dateOfBirth": "1987-08-19",
"city": "London"
},
{
"id": "72",
"firstName": "Peter",
"lastName": "Thompson",
"dateOfBirth": "1992-09-27",
"city": "Sheffield"
},
{
"id": "73",
"firstName": "Bertram",
"lastName": "Hopkins",
"dateOfBirth": "2001-02-23",
"city": "London"
},
{
"id": "74",
"firstName": "Christopher",
"lastName": "Burns",
"dateOfBirth": "1962-05-22",
"city": "Manchester-Salford"
},
{
"id": "75",
"firstName": "Vernon",
"lastName": "Perry",
"dateOfBirth": "1966-10-17",
"city": "Nottingham"
},
{
"id": "76",
"firstName": "Oliver",
"lastName": "Webster",
"dateOfBirth": "1955-03-13",
"city": "Sheffield"
},
{
"id": "77",
"firstName": "Joshua",
"lastName": "Ball",
"dateOfBirth": "1972-03-08",
"city": "Manchester-Salford"
},
{
"id": "78",
"firstName": "Christopher",
"lastName": "Griffin",
"dateOfBirth": "1994-09-26",
"city": "Nottingham"
},
{
"id": "79",
"firstName": "Sherman",
"lastName": "Pearson",
"dateOfBirth": "1959-01-31",
"city": "Liverpool"
},
{
"id": "80",
"firstName": "Gavin",
"lastName": "Barber",
"dateOfBirth": "2003-02-16",
"city": "Manchester-Salford"
},
{
"id": "81",
"firstName": "Brian",
"lastName": "Mills",
"dateOfBirth": "1980-10-17",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "82",
"firstName": "Herbert",
"lastName": "Grant",
"dateOfBirth": "1991-11-28",
"city": "Southampton–Portsmouth"
},
{
"id": "83",
"firstName": "Christopher",
"lastName": "Sherman",
"dateOfBirth": "2002-04-08",
"city": "Sheffield"
},
{
"id": "84",
"firstName": "Patrick",
"lastName": "Morrison",
"dateOfBirth": "1979-07-13",
"city": "Glasgow"
},
{
"id": "85",
"firstName": "Kristopher",
"lastName": "Nash",
"dateOfBirth": "1966-09-10",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "86",
"firstName": "Henry",
"lastName": "Hood",
"dateOfBirth": "1975-10-03",
"city": "Sheffield"
},
{
"id": "87",
"firstName": "Edward",
"lastName": "Walsh",
"dateOfBirth": "2004-04-16",
"city": "Sheffield"
},
{
"id": "88",
"firstName": "Williamя",
"lastName": "Francis",
"dateOfBirth": "1969-08-06",
"city": "Newcastle upon Tyne–Sunderland"
},
{
"id": "89",
"firstName": "Leo",
"lastName": "Richardson",
"dateOfBirth": "1989-12-19",
"city": "Liverpool"
},
{
"id": "90",
"firstName": "Mark",
"lastName": "Day",
"dateOfBirth": "1954-06-06",
"city": "Leeds–Bradford"
},
{
"id": "91",
"firstName": "Charles",
"lastName": "Cross",
"dateOfBirth": "1955-02-23",
"city": "Liverpool"
},
{
"id": "92",
"firstName": "Alban",
"lastName": "Fields",
"dateOfBirth": "1953-09-03",
"city": "Liverpool"
},
{
"id": "93",
"firstName": "Paul",
"lastName": "Rodgers",
"dateOfBirth": "1966-10-07",
"city": "Sheffield"
},
{
"id": "94",
"firstName": "James",
"lastName": "Gregory",
"dateOfBirth": "1965-11-23",
"city": "London"
},
{
"id": "95",
"firstName": "Harry",
"lastName": "Patrick",
"dateOfBirth": "1967-04-27",
"city": "Southampton–Portsmouth"
},
{
"id": "96",
"firstName": "Jacob",
"lastName": "Walters",
"dateOfBirth": "1952-12-09",
"city": "Manchester-Salford"
},
{
"id": "97",
"firstName": "Kenneth",
"lastName": "Thomas",
"dateOfBirth": "1973-05-16",
"city": "Leeds–Bradford"
},
{
"id": "98",
"firstName": "Ernest",
"lastName": "Cobb",
"dateOfBirth": "1985-09-05",
"city": "Glasgow"
},
{
"id": "99",
"firstName": "Joseph",
"lastName": "Small",
"dateOfBirth": "1965-03-06",
"city": "Nottingham"
},
{
"id": "100",
"firstName": "Basil",
"lastName": "Stephens",
"dateOfBirth": "1964-07-29",
"city": "London"
}
]
The result of the program is as follows:
[id = 14, age=28, firstName = Mark, lastName = Anthony, dateOfBirth = 1992-01-08, city = London]
[id = 34, age=23, firstName = Williamя, lastName = Gallagher, dateOfBirth = 1997-01-04, city = Nottingham]
[id = 82, age=28, firstName = Herbert, lastName = Grant, dateOfBirth = 1991-11-28, city = Southampton–Portsmouth]
[id = 78, age=26, firstName = Christopher, lastName = Griffin, dateOfBirth = 1994-09-26, city = Nottingham]
[id = 65, age=29, firstName = Paul, lastName = Hampton, dateOfBirth = 1991-08-06, city = Sheffield]
[id = 24, age=21, firstName = Ethan, lastName = Harrison, dateOfBirth = 1999-08-27, city = Southampton–Portsmouth]
[id = 49, age=25, firstName = Christopher, lastName = Holland, dateOfBirth = 1994-10-25, city = Sheffield]
[id = 2, age=28, firstName = Edward, lastName = Houston, dateOfBirth = 1992-10-05, city = Southampton–Portsmouth]
[id = 26, age=26, firstName = Isaac, lastName = Jordan, dateOfBirth = 1994-08-08, city = London]
[id = 19, age=24, firstName = Mervin, lastName = Lewis, dateOfBirth = 1995-10-27, city = Birmingham–Wolverhampton]
[id = 72, age=28, firstName = Peter, lastName = Thompson, dateOfBirth = 1992-09-27, city = Sheffield]
[id = 15, age=29, firstName = Mark, lastName = Watson, dateOfBirth = 1991-07-27, city = Nottingham]
Birmingham–Wolverhampton
Glasgow
Leeds–Bradford
Liverpool
London
Manchester-Salford
Newcastle upon Tyne–Sunderland
Nottingham
Sheffield
Southampton–Portsmouth
{11..20=10, 21..30=12, 31..40=19, 41..50=16, 51..60=21, 61..70=21, 71..80=1}
Now I need to serialize all received data into one file. They tell me that I need to create another class that will collect the results of the program, and then serialize it into a json file.
Please help in the implementation of this task.
P.S.: All names, surnames and dates from the json file were obtained at random.
You can write the obtained output to HashMap and that hashMap can be written to a file using ObjectMapper like this.
package com.testsample;
import com.fasterxml.jackson.core.JsonParseException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.*;
import java.util.stream.Collectors;
public class Main {
public static void main(String[] args) {
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new JavaTimeModule());
try {
List<Data> data = Arrays.asList(mapper.readValue(Paths.get("C:\\dataClients.json").toFile(), Data[].class));
List<Data> age20to30 = data
.stream()
.filter(p -> p.getAge() >= 20 && p.getAge() < 30)
.sorted(Comparator.comparing(p -> p.getLastName() + " " + p.getFirstName()))
.collect(Collectors.toList());
age20to30.forEach(System.out::println);
Set<String> cities = data
.stream()
.map(Data::getCity)
.collect(Collectors.toCollection(TreeSet::new));
cities.forEach(System.out::println);
Map<String, Long> byAges = data
.stream()
.collect(Collectors.groupingBy(Data::getAgeGroup, TreeMap::new, Collectors.counting()));
System.out.println(byAges);
Map<String, Object> map = new HashMap<>();
map.put("age20To30", age20to30);
map.put("cities", cities);
map.put("byAges", byAges);
// convert map to JSON file
mapper.writeValue(Paths.get("C:\\dataOutput.json").toFile(), map);
} catch (JsonParseException jsonParseException) {
jsonParseException.printStackTrace();
} catch (JsonMappingException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}
Now the content of the output file will be like below
{
"cities": [
"Birmingham–Wolverhampton",
"Glasgow",
"Leeds–Bradford",
"Liverpool",
"London",
"Manchester-Salford",
"Newcastle upon Tyne–Sunderland",
"Nottingham",
"Sheffield",
"Southampton–Portsmouth"
],
"byAges": {
"11..20": 10,
"21..30": 12,
"31..40": 19,
"41..50": 16,
"51..60": 21,
"61..70": 21,
"71..80": 1
},
"age20To30": [
{
"id": 14,
"firstName": "Mark",
"lastName": "Anthony",
"dateOfBirth": "1992-01-08",
"city": "London"
},
{
"id": 34,
"firstName": "Williamя",
"lastName": "Gallagher",
"dateOfBirth": "1997-01-04",
"city": "Nottingham"
}
]
}
Related
JOLT shift transformation: filter by inner value of a property (not the name) - only some properties
I am trying to transform a JSON using Jolt transformation looking for some input here.
I am trying to filter by the inner value of the attribute.
My goal is to get an array that contains only the items with the typeName 'xx'. But not all the item object, only some of the fields
{
"id": "11_1",
"action": "add",
"payment": {
"paied": true,
"coin": "dollar"
},
"type": {
"id": "11_1_xx",
"typeName": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
}
}
}
Here is my input and expected output:
Input:
{
"id": 11,
"item": [
{
"id": "11_1",
"action": "add",
"payment": {
"paied": true,
"coin": "dollar"
},
"type": {
"id": "11_1_xx",
"typeName": "xx",
"typeGroup": "xx",
"typeValue": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
},
"reason": {
"id": "123",
"name": "xx"
}
},
"item": [
{
"id": "11_1_1",
"action": "add",
"payment": {
"paied": true,
"coin": "dollar"
},
"type": {
"id": "11_1_1_zz",
"typeName": "zz",
"typeGroup": "zz",
"typeValue": "zz"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
},
"reason": {
"id": "123",
"name": "xx"
}
},
"item": [
{
"id": "11_1_1_1",
"action": "add",
"payment": {
"paied": true,
"coin": "NIS"
},
"type": {
"id": "11_1_1_1_xx",
"typeName": "xx",
"typeGroup": "xx",
"typeValue": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
},
"reason": {
"id": "123",
"name": "xx"
}
}
}
]
},
{
"id": "11_1_2",
"action": "add",
"payment": {
"paied": false,
"coin": "dollar"
},
"type": {
"id": "11_1_2_xx",
"typeName": "xx",
"typeGroup": "xx",
"typeValue": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
},
"reason": {
"id": "123",
"name": "xx"
}
},
"item": [
{
"id": "11_1_2_1",
"action": "add",
"payment": {
"paied": false,
"coin": "NIS"
},
"type": {
"id": "11_1_2_1_zz",
"typeName": "zz",
"typeGroup": "zz",
"typeValue": "zz"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
},
"reason": {
"id": "123",
"name": "xx"
}
}
}
]
}
]
}
]
}
Expected output:
[
{
"id": "11_1",
"action": "add",
"payment": {
"paied": true,
"coin": "dollar"
},
"type": {
"id": "11_1_xx",
"typeName": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
}
}
},
{
"id": "11_1_1_1",
"action": "add",
"payment": {
"paied": true,
"coin": "NIS"
},
"type": {
"id": "11_1_1_1_xx",
"typeName": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
}
}
},
{
"id": "11_1_2",
"action": "add",
"payment": {
"paied": false,
"coin": "dollar"
},
"type": {
"id": "11_1_2_xx",
"typeName": "xx"
},
"details": {
"place": {
"id": "123",
"name": "xx"
},
"status": {
"id": "123",
"name": "xx"
}
}
}
]
Can you please help me to write a simple spec that will do this?
You can use the following explained spec
[
{
// Determine all key-value pairs partitioned under the main value and type.typeValue combinations
"operation": "shift",
"spec": {
"item": {
"*": {
"item": {
"*": {
"item": {
"*": {
"type": {
"#(1,id)": "#(2,id).#(1,typeName).id", //traverse } character twice in order to reach the main id of the object
"#(1,action)": "#(2,id).#(1,typeName).action",
"*": "#(2,id).#(1,typeName).&1.&" // &1 replicates "type" key, & does the leaf value
},
"*": "#(1,id).#(1,type.typeName).&"
}
},
"type": {
"#(1,id)": "#(2,id).#(1,typeName).id",
"#(1,action)": "#(2,id).#(1,typeName).action",
"*": "#(2,id).#(1,typeName).&1.&"
},
"*": "#(1,id).#(1,type.typeName).&"
}
},
"type": {
"#(1,id)": "#(2,id).#(1,typeName).id",
"#(1,action)": "#(2,id).#(1,typeName).action",
"*": "#(2,id).#(1,typeName).&1.&"
},
"*": "#(1,id).#(1,type.typeName).&"
}
}
}
},
{
// Filter out by the desired value(in this case it's "xx")
"operation": "shift",
"spec": {
"*": {
"xx": ""
}
}
},
{
// Get rid of same repeating components of id and action arrays
"operation": "cardinality",
"spec": {
"*": {
"id": "ONE",
"action": "ONE"
}
}
},
{
// Get rid of undesired attributes
"operation": "remove",
"spec": {
"*": {
"type": {
"typeGroup": "",
"typeValue": ""
},
"det*": {
"reason": ""
}
}
}
}
]
You may try library Josson. Function map() build a new ObjectNode. Function field() modify the current ObjectNode and can be used to remove fields. The transformation statement is short and easy to understand.
https://github.com/octomix/josson
Josson josson = Josson.fromJsonString(inputJSON);
JsonNode node = josson.getNode(
"cumulateCollect(" +
" [type.typeName='xx']" + // filter
" .field(type.map(id, typeName)" + // need "type.id" and "type.typeName"
" ,details.field(reason:)" + // remove "details.reason"
" ,item:)" + // remove "item"
" ,item)"); // next round
System.out.println(node.toPrettyString());
getting problem in HashMap<String,ArrayList<Model>> , (Creating Comments View in Android )
Receiveg this Json Response
{
"result": "success",
"data": [
{
"comment": "hi",
"addedon": "2019-03-01 09:31:28",
"user_id": "1",
"id": "22",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "hixdh ",
"addedon": "2019-03-01 09:31:32",
"user_id": "1",
"id": "23",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "xy uf",
"addedon": "2019-03-01 09:31:36",
"user_id": "1",
"id": "24",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "cgui ",
"addedon": "2019-03-01 09:31:39",
"user_id": "1",
"id": "25",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "hi",
"addedon": "2019-03-01 09:33:32",
"user_id": "1",
"id": "26",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "fg ",
"addedon": "2019-03-01 09:33:34",
"user_id": "1",
"id": "27",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "chkk hhh",
"addedon": "2019-03-01 09:33:39",
"user_id": "1",
"id": "28",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "yubvcg ",
"addedon": "2019-03-01 09:33:43",
"user_id": "1",
"id": "29",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "ggi ",
"addedon": "2019-03-01 09:33:47",
"user_id": "1",
"id": "30",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "cfg hj",
"addedon": "2019-03-01 09:33:50",
"user_id": "1",
"id": "31",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "vbj",
"addedon": "2019-03-01 09:33:53",
"user_id": "1",
"id": "32",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "hehh",
"addedon": "2019-03-01 11:32:13",
"user_id": "18",
"id": "33",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hhh",
"addedon": "2019-03-01 11:43:26",
"user_id": "18",
"id": "37",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hahahah",
"addedon": "2019-03-01 12:04:14",
"user_id": "18",
"id": "42",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hii",
"addedon": "2019-03-01 12:16:05",
"user_id": "18",
"id": "43",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hou",
"addedon": "2019-03-01 12:16:12",
"user_id": "18",
"id": "44",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hi",
"addedon": "2019-03-01 12:16:28",
"user_id": "18",
"id": "45",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hi",
"addedon": "2019-03-01 12:16:45",
"user_id": "18",
"id": "46",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "hi",
"addedon": "2019-03-01 12:16:52",
"user_id": "18",
"id": "47",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "gg",
"addedon": "2019-03-01 12:17:09",
"user_id": "18",
"id": "48",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "heyy",
"addedon": "2019-03-01 12:31:26",
"user_id": "1",
"id": "49",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "fff",
"addedon": "2019-03-01 12:36:52",
"user_id": "1",
"id": "52",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "hhh",
"addedon": "2019-03-02 00:13:41",
"user_id": "18",
"id": "54",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "jii",
"addedon": "2019-03-02 02:33:55",
"user_id": "1",
"id": "61",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "dsdsdsdsd",
"addedon": "2019-03-03 03:44:33",
"user_id": "1",
"id": "63",
"name": "chitransh",
"photo": "user.png"
}
],
"reply": {
"22": [
{
"comment": "hahaha",
"addedon": "2019-03-02 00:34:50",
"user_id": "18",
"id": "58",
"name": "Test User 3",
"photo": "avatar10.png"
},
{
"comment": "#chitransh heyyy",
"addedon": "2019-03-03 03:44:59",
"user_id": "1",
"id": "65",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "#chitransh heyy test user",
"addedon": "2019-03-03 03:45:23",
"user_id": "1",
"id": "66",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "#chitransh hiw are you",
"addedon": "2019-03-03 04:06:09",
"user_id": "1",
"id": "67",
"name": "chitransh",
"photo": "user.png"
}
],
"23": [
{
"comment": "#chitransh hhhh",
"addedon": "2019-03-02 01:04:58",
"user_id": "18",
"id": "59",
"name": "Test User 3",
"photo": "avatar10.png"
}
],
"24": [],
"25": [],
"26": [],
"27": [],
"28": [],
"29": [],
"30": [],
"31": [
{
"comment": "#chitranshdsdsdsdsd",
"addedon": "2019-03-02 05:07:44",
"user_id": "1",
"id": "62",
"name": "chitransh",
"photo": "user.png"
}
],
"32": [],
"33": [],
"37": [],
"42": [],
"43": [],
"44": [],
"45": [],
"46": [],
"47": [],
"48": [],
"49": [
{
"comment": "chitransh hi",
"addedon": "2019-03-01 12:32:47",
"user_id": "1",
"id": "50",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "chitransh sdff",
"addedon": "2019-03-01 12:33:00",
"user_id": "1",
"id": "51",
"name": "chitransh",
"photo": "user.png"
},
{
"comment": "chitransh hi",
"addedon": "2019-03-01 12:42:59",
"user_id": "1",
"id": "53",
"name": "chitransh",
"photo": "user.png"
}
],
"52": [],
"54": [
{
"comment": "#Test User 3kjj",
"addedon": "2019-03-02 01:20:55",
"user_id": "18",
"id": "60",
"name": "Test User 3",
"photo": "avatar10.png"
}
],
"61": [
{
"comment": "#chitranshdsdsdsdsdsd",
"addedon": "2019-03-03 03:44:40",
"user_id": "1",
"id": "64",
"name": "chitransh",
"photo": "user.png"
}
],
"63": []
}
}
Done with data JSONArray , now working for replies
as you can see in reply JSONArray I will get id from data so I am storing that id in my Map as key ex.
Map<String,Arraylist<ReplyCommentModel>>
so String refers to that id .
now on buttonOnClick in RecyclerView item
I am using this code -- >
viewRepliesButton.setOnClickListener(v -> {
if (collpased){
collpased = false;
replyRecyclerView.setVisibility(View.VISIBLE);
GroupAdapter<ViewHolder> adapter = new GroupAdapter<>();
replyRecyclerView.setAdapter(adapter);
replyRecyclerView.setLayoutManager(new LinearLayoutManager(context));
replyCommentModels = replyModelsMap.get(String.valueOf(model.comment_id));
if(replyCommentModels != null){
Log.e("replComments ","Size" +replyCommentModels.size());
for(ReplyCommentModel replyCommentModel : replyCommentModels){
adapter.add(new ReplyCommentItem(replyCommentModel,context));
}
}
viewRepliesButton.setText("hide");
} else {
collpased = true;
replyRecyclerView.setVisibility(View.GONE);
viewRepliesButton.setText("Tap to view reply");
}
});
but all of the items in map are visible In recyclerView is there some problem in my code?
Since I am passing value of comment id from my adapter item model is the Data key from JSON response you can see above
now I am clicking on the list and passing its id to map to get the array list of that particular id , maybe map is used to do this or there is some other preferable way to do this ?
new in using Map<> with Arraylist tbh , any proper guidance will be appreciated
and I am saving my map as like this
private Map<String,ArrayList<ReplyCommentModel>> replyModelMap = new HashMap<>();
try {
JSONObject obj = new JSONObject(response);
String status = obj.getString("result");
if (status.equals("success")) {
JSONArray jsonArray = obj.getJSONArray("data");
if(model.size() == 0){
fetchComments(jsonArray);
JSONObject replyObject = obj.getJSONObject("reply");
for(int i=0;i<model.size();i++){
JSONArray replyArrays = replyObject.getJSONArray(String.valueOf(model.get(i).comment_id));
for(int j=0;j<replyArrays.length();j++){
JSONObject jsonObject1 = replyArrays.getJSONObject(j);
Integer id = jsonObject1.getInt("id");
String name = jsonObject1.getString("name");
String comment_image = jsonObject1.getString("photo");
Integer user_id = jsonObject1.getInt("user_id");
String comment = jsonObject1.getString("comment");
String added_on = jsonObject1.getString("addedon");
String imageURl = Constant.IMAGE_URL+Constant.COMMENT_USER_IMAGE_URL+comment_image;
replyModel.add(new ReplyCommentModel(comment,name,imageURl,added_on,user_id,id));
}
if(replyModel != null){
replyModelMap.put(String.valueOf(model.get(i).comment_id),replyModel);
}
}
Log.e("ReplyModelMapSize","----> "+replyModelMap.size());
setUpRecyclerview();
}else{
model.clear();
fetchComments(jsonArray);
upDateRecyclerView();
}
}
}catch (Exception e){
e.printStackTrace();
}
Try initialising replyModel list inside the inner for loop, it seems all the items getting added to the same list and the same being added to the with all the keys.Hence resulting the entire list with all the keys.Like this:-
for(int i=0;i<model.size();i++){
JSONArray replyArrays = replyObject.getJSONArray(String.valueOf(model.get(i).comment_id));
//Initialise inside the loop
ArrayList<ReplyCommentModel> replyModel = new ArrayList();
for(int j=0;j<replyArrays.length();j++){
JSONObject jsonObject1 = replyArrays.getJSONObject(j);
Integer id = jsonObject1.getInt("id");
String name = jsonObject1.getString("name");
String comment_image = jsonObject1.getString("photo");
Integer user_id = jsonObject1.getInt("user_id");
String comment = jsonObject1.getString("comment");
String added_on = jsonObject1.getString("addedon");
String imageURl = Constant.IMAGE_URL+Constant.COMMENT_USER_IMAGE_URL+comment_image;
replyModel.add(new ReplyCommentModel(comment,name,imageURl,added_on,user_id,id));
}
if(replyModel != null){
replyModelMap.put(String.valueOf(model.get(i).comment_id),replyModel);
}
}
How to create RealmList<RealmList<Object>> in android
I am trying to get a RealmList of RealmList from server (JSON) into realm object. I am getting
error: Element type of RealmList must be a class implementing 'RealmModel' or one of the 'java.lang.String', 'byte[]', 'java.lang.Boolean', 'java.lang.Long', 'java.lang.Integer', 'java.lang.Short', 'java.lang.Byte', 'java.lang.Double', 'java.lang.Float', 'java.util.Date'.
{
"facilities": [
{
"facility_id": "1",
"name": "Property Type",
"options": [
{
"name": "Apartment",
"icon": "apartment",
"id": "1"
},
{
"name": "Condo",
"icon": "condo",
"id": "2"
},
{
"name": "Boat House",
"icon": "boat",
"id": "3"
},
{
"name": "Land",
"icon": "land",
"id": "4"
}
]
},
{
"facility_id": "2",
"name": "Number of Rooms",
"options": [
{
"name": "1 to 3 Rooms",
"icon": "rooms",
"id": "6"
},
{
"name": "No Rooms",
"icon": "no-room",
"id": "7"
}
]
},
{
"facility_id": "3",
"name": "Other facilities",
"options": [
{
"name": "Swimming Pool",
"icon": "swimming",
"id": "10"
},
{
"name": "Garden Area",
"icon": "garden",
"id": "11"
},
{
"name": "Garage",
"icon": "garage",
"id": "12"
}
]
}
],
"exclusions": [
[
{
"facility_id": "1",
"options_id": "4"
},
{
"facility_id": "2",
"options_id": "6"
}
],
[
{
"facility_id": "1",
"options_id": "3"
},
{
"facility_id": "3",
"options_id": "12"
}
],
[
{
"facility_id": "2",
"options_id": "7"
},
{
"facility_id": "3",
"options_id": "12"
}
]
]
}
try this solution
public class Exclusion extends RealmObject {
private int facilityId;
private int optionsId;
}
public class Exclusions extends RealmObject {
private RealmList<Exclusion> exclusions;
}
so now you can using RealmList<Exclusions> exclusionsRealmList as Realm list, legal
hope this helps
Gianthran's answer is close, but you should also set up relations.
public class Exclusion extends RealmObject {
#Index
private int facilityId;
#Index
private int optionsId;
private Facility facility;
private Option option;
}
And
public class Facility extends RealmObject {
#LinkingObjects("facility")
private final RealmResults<Exclusion> exclusions = null;
}
public class Option extends RealmObject {
#LinkingObjects("option")
private final RealmResults<Exclusion> exclusions = null;
}
I don't think the Exclusions object is necessary, I'd expect that the table is already a collection in a way.
Consuming a nested JSON array using Spring Boot and RestTemplate
I am attempting to consume an API in my Spring Boot application using an HTTP GET request which returns the below JSON. The issues I'm running into are that there is a JSON array contained inside the "playerentry" level with un-named/unheaded pairs of player and team info. For Spring, one would usually create a java class for each layer of the JSON and use the #JsonProperty() annotation to specify which part of the JSON to generate the Java Objects from. Without names for pairs contained inside the JSON array, and being unsure how to properly setup the java classes for the playerentry array and contained array pairs, I have been unable to use the RestTemplate and RestTemplateBuilder to consume this JSON. Any Help would be greatly appreciated.
{
"rosterplayers": {
"lastUpdatedOn": "2018-02-25 4:24:30 PM",
"playerentry": [
{
"player": {
"ID": "10138",
"LastName": "Abrines",
"FirstName": "Alex"
},
"team": {
"ID": "96",
"City": "Oklahoma City",
"Name": "Thunder",
"Abbreviation": "OKL"
}
},
{
"player": {
"ID": "9466",
"LastName": "Acy",
"FirstName": "Quincy"
},
"team": {
"ID": "84",
"City": "Brooklyn",
"Name": "Nets",
"Abbreviation": "BRO"
}
},
{
"player": {
"ID": "9390",
"LastName": "Adams",
"FirstName": "Steven"
},
"team": {
"ID": "96",
"City": "Oklahoma City",
"Name": "Thunder",
"Abbreviation": "OKL"
}
},
{
"player": {
"ID": "9375",
"LastName": "Afflalo",
"FirstName": "Arron"
},
"team": {
"ID": "103",
"City": "Sacramento",
"Name": "Kings",
"Abbreviation": "SAC"
}
},
{
"player": {
"ID": "9357",
"LastName": "Ajinca",
"FirstName": "Alexis"
},
"team": {
"ID": "110",
"City": "New Orleans",
"Name": "Pelicans",
"Abbreviation": "NOP"
}
},
{
"player": {
"ID": "9272",
"LastName": "Aldrich",
"FirstName": "Cole"
},
"team": {
"ID": "100",
"City": "Minnesota",
"Name": "Timberwolves",
"Abbreviation": "MIN"
}
},
{
"player": {
"ID": "9480",
"LastName": "Aldridge",
"FirstName": "LaMarcus"
},
"team": {
"ID": "106",
"City": "San Antonio",
"Name": "Spurs",
"Abbreviation": "SAS"
}
},
{
"player": {
"ID": "9454",
"LastName": "Alexander",
"FirstName": "Cliff"
},
"team": {
"ID": "95",
"City": "Orlando",
"Name": "Magic",
"Abbreviation": "ORL"
}
},
{
"player": {
"ID": "9299",
"LastName": "Allen",
"FirstName": "Tony"
},
"team": {
"ID": "107",
"City": "Memphis",
"Name": "Grizzlies",
"Abbreviation": "MEM"
}
}
]
}
}
This should work
class Roasterplayers {
String lastUpdatedOn;
List<PlayerEntry> playerentry;
}
class PlayerEntry {
Player player;
Team team;
}
class Player {
#JsonProperty("ID")
String id;
#JsonProperty("LastName")
String lastName;
#JsonProperty("FirstName")
String firstName;
}
class Team {
#JsonProperty("ID")
String id;
#JsonProperty("City")
String city;
#JsonProperty("Name")
String name;
#JsonProperty("Abbreviation")
String abbreviation;
}
Make sure you have Setters and Getters for each field
How can I extract the array of hashmap object from a hashmap object?
{
"errorCode": 200,
"opMessage": {
"personalDetails": {
"dob": {
"mm": 2,
"dd": 2,
"yyyy": 1975
},
"name": {
"fname": "sai gampa",
"lName": "krishna"
},
"maritalStatus": "Single",
"ssn": "123-45-7777"
},
"id": "0101",
"contactDetails": {
"address": [
{
"isPrimary": true,
"id": "HOME;2017-06-30",
"type": "Home",
"addr": {
"country": "USA",
"addr2": "W 24th St",
"addr1": "518",
"city": "New York",
"postalCode": "11122",
"state": "NY"
}
},
{
"isPrimary": false,
"id": "BUSN;2017-07-04",
"type": "Work",
"addr": {
"country": "USA",
"addr2": "Agsuaiajs",
"addr1": "Qwertyy",
"city": "Shshshsjsj",
"postalCode": "71899",
"state": "CO"
}
}
],
"bestWayToContact": "Phone",
"ph": [
{
"isPrimary": false,
"num": "666-666-6666",
"id": "Work",
"type": "Work"
},
{
"isPrimary": false,
"num": "444-444-4444",
"id": "Cell",
"type": "Cell"
},
{
"isPrimary": true,
"num": "111-111-1111",
"id": "Home",
"type": "Home"
}
],
"eMail": [
{
"isPrimary": true,
"id": "HOME",
"addr": "Shyam#gmail.con"
}
]
}
}
}
HashMap has a method called entrySet(). With entrySet() you can get all the entries in the hashmap.