CodeThatAint «

Till now we were sending requests over HTTP. Now lets make HTTP secured using https by installing certificate in our project
To generate certificate we use Key Store Explorer and will generate PKCS#12 Certificate
Generate a public and private key and save the keystore

The Keystore should be copied to the resources folder and the credentials of the keystore should be added to application.properties as below.

application.properties

# The format used for the keystore. It could be set to JKS in case it is a JKS file
server.ssl.key-store-type=PKCS12
# The path to the keystore containing the certificate
server.ssl.key-store=classpath:TestCert
# The password used to generate the certificate
server.ssl.key-store-password=password

Since the certificare generated(keystore file) cannot be cross checked with CA(Certificate Authority) it would display message like one below for the authenticy of certificate, whether it should be accpeted or not. How ever you can continue further by clicking on advanced

Note: While performing CRUD the addition of user is a JSON request which should be carried out only from postman. For this enable interceptor plugin in Chrome so that cookies set in chrome would be available in Postman.

Further Reads:
How SSL Works

The server gives the client a one-time-use number (a nonce) that it combines with the username, realm, password, and URI request. The client runs all of those fields through an MD5 hashing method to produce a hash key.

It sends this hash key to the server along with the username and the realm to attempt to authenticate.
Server-side the same method is used to generate a hash key, only instead of using the password typed into the browser, the server looks up the expected password for the user from its user DB. It looks up the stored password for this username, runs in through the same algorithm, and compares it to what the client sent. If they match then access is granted, otherwise, it can send back a 401 Unauthorized (no login or failed login) or a 403 Forbidden (access denied).

Steps

Client makes request
Client gets back a nonce from the server and a 401 authentication request

Client sends back the following response array

 (username, realm, generate_md5_key(nonce, username, realm, URI, password_given_by_user_to_browser))

The server takes username and realm (plus it knows the URI the client is requesting) and it looks up the password for that username in DB. Then it goes and does its own version of
```
 generate_md5_key(nonce, username, realm, URI, password_I_have_for_this_user_in_my_db)
```
It compares the output of generate_md5() that it got with the one the client sent, if they match the client sent the correct password. If they don’t match the password sent was wrong.

It doesn’t require sending the username and password across the wire in plaintext. It is also immune to replay-attacks, as it uses a one-time number from the server.

Lets assume, Alice sent a message and digest pair to Bob. To check the integrity of the message Bob runs the cryptographic hash function on the received message and gets a new digest. Now, Bob will compare the new digest and the digest sent by Alice. If, both are same then Bob is sure that the original message is not changed.

Step by Step Action

client sends a request for an access-protected resource, but an acceptable Authorization header field is not sent
server responds with a “401 Unauthorized” status code and a WWW-Authenticate header field (the digest-challenge)
client sends another request for the same resource but containing a Authorization header field in response to the challenge (the digest-response)
if the authorization is not successful, go to step 2; otherwise the server proceeds as normal.

Streams

Intermediate Operations returns Stream as output. methods like map(), sorted(), distinct() would return stream as output
Terminal Operations returns something other than Stream. Collect() returns collection. Reduce() returns one element

Converting list to a stream and print them

List<Integer> arrNumbers = List.of(10,27,31, 35, 40, 44, 48, 50);
//Convert list to stream
Stream objStream = arrNumbers.stream();

//Static Method Reference
objStream.forEach(System.out::println);

Both Map and Filter returns Streams.
Filter takes predicate as input and adds element to stream based on result of predicate(I.E. True or false).
Map takes function as input and adds transformed object value to stream.
Reduce takes function as input and returns a single value that is computed going over the entire rows in stream.

Filter
Filter is used for filtering the data, it always returns the boolean value. If it returns true, the item is added to list else it is filtered out (ignored)

Filter takes a predicate as argument. Predicate returns boolean. The Output of Filter is a Stream
Predicate object which is technically a function to convert an object to boolean. We pass an object and it will return true or false.
filter() method is lazy like map, it wont be evaluated until you call a reduction method, like collect

Using Filter to filter names in list and print them

import java.util.*;
import java.util.stream.Stream;

List<String> arrNames = List.of("Mugil", "Mani", "Madhu");
arrNames.stream()
        .filter(name -> name.equals("Mugil"))
        .forEach(System.out::println);

List<Integer> arrNumbers = List.of(10,27,31, 35, 40, 44, 48, 50);
List<String> arrSkills = List.of("Spring Boot", "Spring Security", "Java 8", "Microservices", "Spring MVC");

//Printing Even Numbers
System.out.println("------Even Numbers-------");
arrNumbers.stream().filter(FilterEgs::isEven).forEach(System.out::println);

//Printing Even Numbers
System.out.println("------Even Numbers-------");
arrNumbers.stream().filter(no -> no%2==0).forEach(System.out::println);

//Printing Odd Numbers
System.out.println("------Odd Numbers-------");
arrNumbers.stream().filter(no -> no%2==1).forEach(System.out::println);

//Printing Odd Numbers
System.out.println("------Print Spring Skills-------");
arrSkills.stream().filter(skill -> skill.toLowerCase().contains("spring"))
.forEach(System.out::println);

private static boolean isEven(int no){
        return no%2==0;
}

Output

------Even Numbers-------
10
40
44
48
50
------Odd Numbers-------
27
31
35
------Print Spring  Skills-------
Spring Boot
Spring Security
Spring MVC

Map
By using map, you transform the object values. the map returns the transformed object value as Stream.

Map takes a function as a argument and performs transform action on elements. The Output of Map is a Stream
map() is used to transform one object into another by applying a function.
Stream.map(Function mapper) takes a function as an argument.
mapping function converts one object to the other. Then, the map() function will do the transformation for you. It is also an intermediate Stream operation, which means you can call other Stream methods, like a filter, or collect on this to create a chain of transformations.

List<Integer> arrNum = List.of(5,6,8,57,4,1,26,84,15);
List<String> arrSkills = List.of("Spring Boot", "Spring Security", "Java 8", "Microservices", "Spring MVC");


//Printing Square of Numbers whose value less than 15
System.out.println("------Square of Numbers-------");
arrNum.stream()
      .filter(num -> num<15)   
      .map(num -> num*num)
      .forEach(System.out::println);


//Print Total Characters in String
System.out.println("------Print Total Characters in String-------");
arrSkills.stream()
		.map(skill -> skill + " contains "+ skill.length()+ " Characters")
		.forEach(System.out::println);

Output

------Square of Numbers-------
25
36
64
16
1
------Print Total Characters in String-------
Spring Boot Contains 11 Characters
Spring Security Contains 4 Characters
Java 8 Contains 5 Characters

Reduce

Stream.reduce() takes function as Parameter
Reduction stream operations allow us to produce one single result from a sequence of elements, by repeatedly applying a combining operation to the elements in the sequence.
Stream.reduce() operation Contains Identity, Accumulator and Combiner
Identity – an element that is the initial value of the reduction operation and the default result if the stream is empty
Accumulator – a function that takes two parameters: a partial result of the reduction operation and the next element of the stream
Combiner – a function used to combine the partial result of the reduction operation when the reduction is parallelized or when there’s a mismatch between the types of the accumulator arguments and the types of the accumulator implementation

ReduceEgs.java

import java.util.Arrays;
import java.util.List;

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3,4,5,6,7,8,9);

        System.out.println(arrNumbers.stream().reduce(0, ReduceEgs::sumNos));
    }

    public static Integer sumNos(int x, int y){
        System.out.println("a -"+ x + " b - "+  y);

        return x+y;
    }
}

Output

a -0 b - 1
a -1 b - 2
a -3 b - 3
a -6 b - 4
a -10 b - 5
a -15 b - 6
a -21 b - 7
a -28 b - 8
a -36 b - 9
45

In the above example

the Integer value 0 is the identity. It stores the initial value of the reduction operation and also the default result when the stream of Integer values is empty.
the lambda expression x+y represented by function sumNos is the accumulator since it takes the partial sum of Integer values and the next element in the stream.
When a stream executes in parallel, the Java runtime splits the stream into multiple substreams. In such cases, we need to use a function to combine the results of the substreams into a single one. This is the role of the combiner

Role of combiner would be visibile only in parallelStream with output as below. It would be hard to interpret the output response in console.

ReduceEgs.java

.
.
 System.out.println(arrNumbers.parallelStream().reduce(0, ReduceEgs::sumNos));
.
.

Output

a -0 b - 6
a -0 b - 5
a -5 b - 6
a -0 b - 1
a -0 b - 7
a -0 b - 9
a -0 b - 2
a -1 b - 2
a -0 b - 3
a -0 b - 8
a -8 b - 9
a -0 b - 4
a -3 b - 4
a -3 b - 7
a -7 b - 17
a -11 b - 24
a -10 b - 35
45

Alternate ways to Sum Nos

public static void main(String[] args) {
 List<Integer> arrNumbers =  Arrays.asList(1,2,3,4,5,6,7,8,9);

 Integer sum = arrNumbers.stream().reduce(0, Integer::sum);
 Integer sum2 = arrNumbers.stream().reduce(0, (x,y)->x+y);

 System.out.println(sum);
 System.out.println(sum2);
}

Once you get the values in stream then it should be typecast to its original type before calling its methods as values are stored as Objects in stream

Below you could see the name is typecast to String before calling lowerCase method

List<String> arrNames = Arrays.asList("Mugil", "Mani", "Vinu");
Stream arrNameStream = arrNames.stream();
arrNameStream.forEach(name -> System.out.println(((String)name).toLowerCase()));

What is the Difference between Map and Filter?
Both perform intermediate Operations and returns stream as output.By using map, you transform the object values.
Map returns a stream consisting of the results of applying the given function to the elements of this stream. In a simple sentence, the map returns the transformed object value.
Filter is used for filtering the data, it always returns the boolean value. If it returns true, the item is added to list else it is filtered out (ignored)

Find the Sum of Nos in List?

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3,4,5,6,7,8,9);

        Integer sum = arrNumbers.stream().reduce(0, Integer::sum);
        Integer sum2 = arrNumbers.stream().reduce(0, (x,y)->x+y);
        Integer sum3 = arrNumbers.stream().reduce(0, ReduceEgs::sumNos);
    }

    public static Integer sumNos(int x, int y){
        System.out.println("a -"+ x + " b - "+  y);
        return x+y;
    }
}

Find the Min and Max in Nos List?

 public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3,4,5,-6,7,-8,9);

        arrNumbers =  Arrays.asList(-5,-6,-8);
        Integer Max = arrNumbers.stream().reduce(0, (x,y)->x>y?x:y);
        System.out.println("Output 1 ="+ Max);

        //Its good to start with Identity as Negative Value in order to address negative Integer Comparison
        //If you start with 0 then 0 would be returned like above
        Integer Max2 = arrNumbers.stream().reduce(Integer.MIN_VALUE, (x,y)->x>y?x:y);
        System.out.println("Output 2 ="+ Max2);

        arrNumbers =  Arrays.asList(5,6,8);

        Integer Min = arrNumbers.stream().reduce(0, (x,y)->x<y?x:y);
        System.out.println("Output 3 ="+ Min);

        //Its good to start with Identity as Max Positive Value in order to address Integer Comparison
        Integer Min2 = arrNumbers.stream().reduce(Integer.MAX_VALUE, (x,y)->x<y?x:y);
        System.out.println("Output 4 ="+ Min2);
    }

Output

Output 1 =0
Output 2 =-5
Output 3 =0
Output 4 =5

Find the Sum of Square of Nos in List?

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3);

        Integer squareSum = arrNumbers.stream().map(x->x*x).reduce(0, Integer::sum);
        System.out.println("Output 1 ="+ squareSum);
    }
}

Output

Output 1 =14

Find the Sum of Odd Nos in List?

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3);

        Integer squareSum = arrNumbers.stream().filter(x-> x%2==1).reduce(0, Integer::sum);
        System.out.println("Output 1 ="+ squareSum);
    }
}

Output

Output 1 =4

Distinct elements from List?

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers =  Arrays.asList(1,2,3,1,4,2);

        System.out.println("Output 1");
        arrNumbers.stream().distinct().forEach(System.out::println);
    }
}

Output

Output 1
1
2
3
4

Sort Elements in List?

 public static void main(String[] args) {
   List<Integer> arrNumbers =  Arrays.asList(1,2,3,1,4,2);

   System.out.println("Output 2");
   arrNumbers.stream().sorted().forEach(System.out::println);
}

Output

Output 2
1
1
2
2
3
4

Sorting based on Natural Order, Reverse Order and Length of String?

public static void main(String[] args) {
        List<String> arrSkills = Arrays.asList("Java", "Python",  "Ant");

        System.out.println("Sorting in Natural Order");
        arrSkills.stream().sorted(Comparator.naturalOrder()).forEach(System.out::println);

        System.out.println("Sorting in Reverse Order");
        arrSkills.stream().sorted(Comparator.reverseOrder()).forEach(System.out::println);

        System.out.println("Sorting based on Length");
        arrSkills.stream().sorted(Comparator.comparing(str -> str.length())).forEach(System.out::println);

    }

Output

Sorting in Natural Order
Ant
Java
Python
Sorting in Reverse Order
Python
Java
Ant
Sorting based on Length
Ant
Java
Python

Collect the Elements in the List – Collect Even Nos and Length of String ?

    public static void main(String[] args) {
        List<Integer> arrNumbers = Arrays.asList(1,2,4,5,7,6);
        List<String> arrNames = Arrays.asList("Java", "Oracle", "Maven", "Ant");

        System.out.println("Collect Even Nos in list");
        List<Integer> arrEvenNumbers = arrNumbers.stream().filter(x->x%2==0).collect(Collectors.toList());
        arrEvenNumbers.stream().forEach(System.out::println);

        System.out.println("Length of Elements");
        List<Integer> arrEvenNumbers2 = arrNames.stream().map(str->str.length()).collect(Collectors.toList());
        arrEvenNumbers2.stream().forEach(System.out::println);
    }

Output

Collect Even Nos in list
2
4
6
Length of Elements
4
6
5
3

Find the Sum of Nos in List?
Find the Sum of Nos in List?
Find the Sum of Nos in List?

When to use Lambda Expressions
If you have a functional Interface which has only one Abstract Method then we can use Lambda Expression at the Class which implements the functional interface
and provides the method definition for the abstract method in Functional Interface.

We have a Function Interface Printable with abstract method print
Two classes implements functional Interface – DailyReport and MothlyReport. They provide the method definition for Print() method in Printable Interface
GenerateReport class has a downloadReport method which takes the Printable Type as argument
DownloadReport Class we use the Printable reference and call the exact implementation by passing as argument

Printable.java

@FunctionalInterface
public interface Printable {
    public void print();
}

DailyReport.java

public class DailyReport implements Printable {
    @Override
    public void print() {
        System.out.println("Printing Report in Daily Format");
    }
}

MonthlyReport.java

public class MonthlyReport implements Printable {
    @Override
    public void print() {
        System.out.println("Printing Report in Monthly Format");
    }
}

GenerateReport.java

public class GenerateReport {
    public static void downloadReport(Printable printable){
        printable.print();
    }
}

Without Lambda Expression
DownloadReport.java

public class DownloadReport {
    public static void main(String[] args) {
        GenerateReport objGenReport = new GenerateReport();
        Printable objDailyReport = new DailyReport();
        Printable objMonthlyReport = new MonthlyReport();

        objGenReport.downloadReport(objDailyReport);
        objGenReport.downloadReport(objMonthlyReport);
    }
}

Output

Printing Report in Daily Format
Printing Report in Monthly Format

With Lambda Expression
Using Lambda expression we can pass method definition directly as parameter instead of using a class to extend interface and writing a method definition for the interface method
DownloadReport.java

public class DownloadReport {
    public static void main(String[] args) {
        GenerateReport objGenReport = new GenerateReport();
        objGenReport.downloadReport(() -> System.out.println("Printing Report in Daily Format using Lambda Expr"));

        Printable mnthlyReport = () -> System.out.println("Printing Report in Monthly Format using Lambda Expr");
        objGenReport.downloadReport(mnthlyReport);     
    }
}

Output

Printing Report in Daily Format using Lambda Expr
Printing Report in Monthly Format using Lambda Expr

With Lambda Expression	Without Lambda Expression
We pass the method definition as Argument	Method Definition in MonthlyReport.java Method Definition in DailyReport.java Object creation for DailyReport and MonthlyReport

Let’s take the below Example where we find the square of even numbers

ReduceEgs.java

public class ReduceEgs {
    public static void main(String[] args) {
        List<Integer> arrNumbers = Arrays.asList(1,2,4,5,7,6);

        arrNumbers.stream()
                  .filter(x-> x%2==0)
                  .map(x->x*x)
                  .forEach(System.out::println);
    }
}

In the above code we have

Filter which takes Predicate as Param
Map which takes Function as Param
Sysout which takes Consumer as Param

The filter, Consumer and sysout have been expanded from the above code as below.

public class ReduceEgs {
        public static void main(String[] args) {
            List<Integer> arrNumbers = Arrays.asList(1,2,4,5,7,6);
    
            arrNumbers.stream()
                      .filter(getIntegerPredicate())
                      .map(getFunction())
                      .forEach(getPrintln());
        }
    
        private static Consumer<Integer> getPrintln() {
            return System.out::println;
        }
    
        private static Function<Integer, Integer> getFunction() {
            return x -> x * x;
        }
    
        private static Predicate<Integer> getIntegerPredicate() {
            return x -> x % 2 == 0;
        }
}

The Above code is refactored as below

public class ReduceEgs {
        public static void main(String[] args) {
            List<Integer> arrNumbers = Arrays.asList(1,2,4,5,7,6);

            Function<Integer, Integer> getSquare = x -> x * x;
            Predicate<Integer>         getEvenNo = x -> x % 2 == 0;
            Consumer<Integer>          showNos   = System.out::println;

            arrNumbers.stream()
                      .filter(getEvenNo)
                      .map(getSquare)
                      .forEach(showNos);
        }
}

What the java compiler does internally changes the above code as below. It created an anonymous inner class for implementing the methods in the interface.

Function has apply method which should be implemented
Consumer has accept method which should be implemented
Predicate has test method which should be implemented

public class ReduceEgs {
        public static void main(String[] args) {
            List<Integer> arrNumbers = Arrays.asList(1,2,4,5,7,6);

            Function<Integer, Integer> getSquare = new Function<Integer, Integer>() {
                @Override
                public Integer apply(Integer integer) {
                    return integer * integer;
                }
            };

            Predicate<Integer> getEvenNo =  new Predicate<Integer>() {
                @Override
                public boolean test(Integer integer) {
                    return  integer % 2 == 0;
                }
            };

            Consumer<Integer> showNos = new Consumer<Integer>() {
                @Override
                public void accept(Integer integer) {
                    System.out.println(integer);
                }
            };

            arrNumbers.stream()
                      .filter(getEvenNo)
                      .map(getSquare)
                      .forEach(showNos);
        }
}

The output of all the above code is one and same as below

4
16
36

We have a Employee Object with following fields – empId,salary,empAge,totalExp,empName,location,pincode. Now we are going to do following operations in the List containing Employee Object.

import java.util.*;
import java.util.function.Predicate;
import java.util.stream.Collectors;

public class MatchEgs {
    public static void main(String[] args) {
        Employee objEmp1 = new Employee(101, "Mugil", 30, "Chennai", "600018", 5, 5000);
        Employee objEmp2 = new Employee(102, "Mani", 33, "Chennai", "600028", 4, 6000);
        Employee objEmp3 = new Employee(103, "Madhu", 32, "Chennai", "600054", 6, 10000);
        Employee objEmp4 = new Employee(104, "Vinu", 29, "Bangalore", "500234", 5, 15000);
        Employee objEmp5 = new Employee(105, "Srini", 40, "Delhi", "622142", 10, 7000);
        Employee objEmp6 = new Employee(106, "Dimple", 35, "Delhi", "622142", 5, 8000);

        List<Employee> arrEmployee = Arrays.asList(objEmp1, objEmp2, objEmp3, objEmp4, objEmp5, objEmp6);
 }
}

Check if people match the criteria by passing predicate to anyMatch, noneMatch and allMatch

        Predicate<Employee> empAgeGreaterThan35 = employee -> employee.getEmpAge() > 35;
        Predicate<Employee> empAgeGreaterThan30 = employee -> employee.getEmpAge() > 30;
        Predicate<Employee> empStayingInDelhi   = employee -> employee.getLocation().equals("Delhi");

        //Check if Some Employee Age is Greater 30
        System.out.println(arrEmployee.stream().anyMatch(empAgeGreaterThan35));

        //Check if all Employee Age is above 30
        System.out.println(arrEmployee.stream().allMatch(empAgeGreaterThan30));

        //Check if any Employee Location in Delhi
        System.out.println(arrEmployee.stream().noneMatch(empStayingInDelhi));

Sort Employee by Name passing Comparator using Sorted and reversed. Sort based on more than
one field using thenComparing

        Comparator<Employee> sortByName = Comparator.comparing(Employee::getEmpName);
        List<Employee> arrSortedByName = arrEmployee.stream()
                                                    .sorted(sortByName)
                                                    .collect(Collectors.toList());
        System.out.println("----------------Sorted By Name----------------");
        arrSortedByName.forEach(employee -> System.out.println(employee));

        Comparator<Employee> sortByNameReversed = Comparator.comparing(Employee::getEmpName).reversed();
        List<Employee> arrSortedByNameRev = arrEmployee.stream()
                                                       .sorted(sortByNameReversed)
                                                       .collect(Collectors.toList());
        System.out.println("----------------Sorted By Name Reversed----------------");
        arrSortedByNameRev.forEach(employee -> System.out.println(employee));

        Comparator<Employee> sortByNameanAge = Comparator.comparing(Employee::getEmpName).thenComparing(Employee::getEmpAge);
        List<Employee> arrSortedByNameAge = arrEmployee.stream()
                                                       .sorted(sortByNameanAge)
                                                       .collect(Collectors.toList());
        System.out.println("----------------Sorted By Name and Age----------------");
        arrSortedByNameAge.forEach(employee -> System.out.println(employee));

Limit and Skip records using limit and skip

        System.out.println("----------------Limit Records to 3 ----------------");
        List<Employee> arrEmp3 =  arrEmployee.stream()
                                             .limit(3)
                                             .collect(Collectors.toList());
        arrEmp3.forEach(employee -> System.out.println(employee));

        System.out.println("----------------Skip First 3 Records ----------------");
        List<Employee> arrEmp4 =  arrEmployee.stream()
                                             .skip(3)
                                             .collect(Collectors.toList());
        arrEmp4.forEach(employee -> System.out.println(employee));

doWhile when condition is true using takeWhile and vice-versa(Until condition is met) using dropWhile

        System.out.println("----------------Print Records until Chennai - Keeps printing until condition is True----------------");
        List<Employee> arrEmp5 =  arrEmployee.stream()
                                             .takeWhile(employee -> employee.getLocation().equals("Chennai"))
                                             .collect(Collectors.toList());
        arrEmp5.forEach(employee -> System.out.println(employee));

        System.out.println("----------------Print Records until Chennai - Stops printing when condition is Met ----------------");
        List<Employee> arrEmp6 =  arrEmployee.stream()
                                             .dropWhile(employee -> employee.getLocation().equals("Bangalore"))
                                             .collect(Collectors.toList());
        arrEmp5.forEach(employee -> System.out.println(employee));

Get Minimum and Maximum age of employee using min and max. The List should be sorted first using comparator. Similarly get Employee with max experience in a particular location using predicate, comparator and max.

        System.out.println("----------------Record with Min and Max Value ----------------");
        Comparator<Employee> sortByAge = Comparator.comparing(Employee::getEmpAge);
        List<Employee> arrEmp7 =  arrEmployee.stream()
                                             .min(sortByAge)
                                             .stream()
                                             .collect(Collectors.toList());
        List<Employee> arrEmp8 =  arrEmployee.stream()
                                             .max(sortByAge)
                                             .stream()
                                             .collect(Collectors.toList());
        arrEmp7.forEach(employee -> System.out.println(employee));
        arrEmp8.forEach(employee -> System.out.println(employee));

        System.out.println("----------------Get Employee with Max Exp in Chennai ----------------");
        Predicate<Employee> filterEmpInChennai = employee -> employee.getLocation().equals("Chennai");
        Comparator<Employee> sortByExp = Comparator.comparing(Employee::getTotalExp);
        List<Employee> arrEmp11 =  arrEmployee.stream()
                                              .filter(filterEmpInChennai)
                                              .max(sortByExp)
                                              .stream()
                                              .collect(Collectors.toList());
        arrEmp11.forEach(employee -> System.out.println(employee));

FindFirst Employee who matches criteria and FindAny who matches criteria. Both takes predicate as input.

findAny – Returns an Optional describing some element of the stream, or an empty Optional if the stream is empty.it is free to select any element in the stream. This is to allow for maximal performance in parallel operations;

        System.out.println("----------------Find First  ----------------");
        Predicate<Employee> empStayingInChennai = employee -> employee.getLocation().equals("Chennai");
        List<Employee> arrEmp9 =  arrEmployee.stream()
                                             .filter(empStayingInChennai)
                                             .findFirst()
                                             .stream()
                                             .collect(Collectors.toList());

        arrEmp9.forEach(employee -> System.out.println(employee));

        System.out.println("----------------Find Any  ----------------");
        List<Employee> arrEmp10 =  arrEmployee.stream()
                                              .filter(empAgeGreaterThan30)
                                              .findAny()
                                              .stream()
                                              .collect(Collectors.toList());
        arrEmp10.forEach(employee -> System.out.println(employee));

Get the Sum of salary of Employees in Location(Chennai) using sum

         System.out.println("----------------Sum - Get Sum of Salary in Chennai  ----------------");
        //Method 1
        Integer empTotalSalaryInChennai1 = arrEmployee.stream()
                                                      .filter(empStayingInChennai)
                                                      .map(employee -> employee.getSalary())
                                                      .collect(Collectors.toList())
                                                      .stream()
                                                      .reduce(0, Integer::sum);
        System.out.println("Sum of Empl Salary - Chennai " + empTotalSalaryInChennai1);

        //Method 2
        Integer empTotalSalaryInChennai2 = arrEmployee.stream()
                                                      .filter(empStayingInChennai)
                                                      .mapToInt(Employee::getSalary).sum();
        System.out.println("Sum of Empl Salary - Chennai " + empTotalSalaryInChennai2);

        //Method 3
        Integer empTotalSalaryInChennai3 = arrEmployee.stream() 
                                                      .filter(empStayingInChennai)
                                                      .map(employee -> employee.getSalary())
                                                      .collect(Collectors.summingInt(Integer::intValue));
        System.out.println("Sum of Empl Salary - Chennai " + empTotalSalaryInChennai3);

Get Max and Min salary of employee

  Comparator<Employee> cmpSalComp = (Employee objEmpp1, Employee objEmpp2) -> Double.compare(objEmpp1.Salary,objEmpp2.Salary);

  Employee empMaxObj = arrEmpl.stream()
                                   .max(cmpSalComp)
                                   .get();
                                   
  Employee empMinObj =   arrEmpl.stream()
                                 .min(cmpSalComp)
                                 .get();

Get Average salary of employee grouped by Location

        System.out.println("----------------Average - Grouped by Location  ----------------");
        Map<String, Double> arrAvgSalByLoc =  arrEmpl.stream()
                                                     .collect(Collectors.groupingBy(Employee::getLocation, Collectors.averagingDouble(Employee::getSalary)));
                                         
        System.out.print(arrAvgSalByLoc);

Get Average salary of employee in location using average

        System.out.println("----------------Average - Get Average of Salary in Chennai  ----------------");
        OptionalDouble empAvgSalaryInChennai = arrEmployee.stream()
                                                          .filter(empStayingInChennai)
                                                          .mapToInt(Employee::getSalary)
                                                          .average();
        System.out.println("Average Salary of Employee - Chennai " + empAvgSalaryInChennai);

Get List of Employees in a location using groupingBy. The Return type is hashmap with location as key and List of employees in value

        System.out.println("----------------Group By -  Get Employees grouped by Location  ----------------");
        Map<String, List<Employee>> hmEmp13 = arrEmployee.stream()
                                                         .collect(Collectors.groupingBy(Employee::getLocation));
        hmEmp13.forEach((s, employees) -> {
            System.out.println("Employees from "+ s);
            employees.forEach(employee -> System.out.println(employee));
        });

Get Employee grouped by Location and getting Maximum Salary groupingBy and maxBy

        System.out.println("----------------Group By -  Get Employees with Max Salary in Location  ----------------");
        Comparator<Employee> cmprSalary = Comparator.comparing(Employee::getSalary);
        Map<String, Optional<Employee>> hmEmp14 = arrEmployee.stream()
                                                             .collect(Collectors.groupingBy(Employee::getLocation, Collectors.maxBy(cmprSalary)));

        hmEmp14.forEach((s, employee) -> {
            System.out.print("Employee Location is "+ s +  " and salary is ");
            employee.ifPresent(emp -> System.out.println(emp.getSalary()));
        });

Get Employee Name using mapping grouped by Location using groupingBy

        System.out.println("---------------- Employee at Location -  Using Collectors.mapping  ----------------");
        Map<String, List<String>> hmEmp16 = arrEmployee.stream()
                                                       .collect(Collectors.groupingBy(Employee::getLocation, Collectors.mapping(Employee::getEmpName, Collectors.toList())));

        hmEmp16.forEach((s, employee) -> {
            System.out.println("Employee Name is " + employee + " and Location is "+ s );

        });

Output

true
false
false
----------------Sorted By Name----------------
Employee{empId=106, empName='Dimple', empAge=35, totalExp=5, location='Delhi', pincode='622142', salary=8000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
----------------Sorted By Name Reversed----------------
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
Employee{empId=106, empName='Dimple', empAge=35, totalExp=5, location='Delhi', pincode='622142', salary=8000}
----------------Sorted By Name and Age----------------
Employee{empId=106, empName='Dimple', empAge=35, totalExp=5, location='Delhi', pincode='622142', salary=8000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
----------------Limit Records to 3 ----------------
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
----------------Skip First 3 Records ----------------
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
Employee{empId=106, empName='Dimple', empAge=35, totalExp=5, location='Delhi', pincode='622142', salary=8000}
----------------Print Records until Chennai - Keeps printing until condition is True----------------
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
----------------Print Records until Chennai - Stops printing when condition is Met ----------------
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
----------------Record with Min and Max Value ----------------
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
----------------Get Employee with Max Exp in Chennai ----------------
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
----------------Find First  ----------------
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
----------------Find Any  ----------------
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
----------------Sum - Get Sum of Salary in Chennai  ----------------
Sum of Empl Salary - Chennai 21000
Sum of Empl Salary - Chennai 21000
Sum of Empl Salary - Chennai 21000
----------------Average - Get Average of Salary in Chennai  ----------------
Average Salary of Employee - Chennai OptionalDouble[7000.0]
----------------Group By -  Get Employees grouped by Location  ----------------
Employees from Delhi
Employee{empId=105, empName='Srini', empAge=40, totalExp=10, location='Delhi', pincode='622142', salary=7000}
Employee{empId=106, empName='Dimple', empAge=35, totalExp=5, location='Delhi', pincode='622142', salary=8000}
Employees from Chennai
Employee{empId=101, empName='Mugil', empAge=30, totalExp=5, location='Chennai', pincode='600018', salary=5000}
Employee{empId=102, empName='Mani', empAge=33, totalExp=4, location='Chennai', pincode='600028', salary=6000}
Employee{empId=103, empName='Madhu', empAge=32, totalExp=6, location='Chennai', pincode='600054', salary=10000}
Employees from Bangalore
Employee{empId=104, empName='Vinu', empAge=29, totalExp=5, location='Bangalore', pincode='500234', salary=15000}
----------------Group By -  Get Employees with Max Salary in Location  ----------------
Employee Location is Delhi and salary is 8000
Employee Location is Chennai and salary is 10000
Employee Location is Bangalore and salary is 15000
---------------- Employee at Location -  Get Employee Object grouped by Location  ----------------
Employee Location is Delhi
Srini
Dimple
Employee Location is Chennai
Mugil
Mani
Madhu
Employee Location is Bangalore
Vinu
---------------- Employee at Location -  Using Collectors.mapping  ----------------
Employee Name is [Srini, Dimple] and Location is Delhi
Employee Name is [Mugil, Mani, Madhu] and Location is Chennai
Employee Name is [Vinu] and Location is Bangalore

How to find the Stream is Primitive or Wrapper?

public class PrimStreams {
    public static void main(String[] args) {
        List<Integer> arrReviews1 = List.of(8, 9, 8 , 6, 2, 7, 6);
        System.out.println(arrReviews1.stream());

        int[] arrReviews2 = {8, 9, 8 , 6, 2, 7, 6};
        System.out.println(Arrays.stream(arrReviews2));

        System.out.println("----------Wrapper Streams Starts----------");
        System.out.println(arrReviews1.stream().reduce(Integer::sum));
        System.out.println(arrReviews1.stream().reduce(Integer::min));
        System.out.println(arrReviews1.stream().reduce(Integer::max));
        System.out.println(arrReviews1.stream().mapToInt(Integer::intValue).average().orElse(Double.NaN));

        System.out.println("----------Primitive Streams Starts----------");
        System.out.println(Arrays.stream(arrReviews2).sum());
        System.out.println(Arrays.stream(arrReviews2).min());
        System.out.println(Arrays.stream(arrReviews2).max());
        System.out.println(Arrays.stream(arrReviews2).average());
    }
}

In the below output you may see the wrapper class stream would be printed as ReferencePipeline whereas primitive stream would be displayed as IntPipeline. The above code contains doing some basic operation in both primitive and wrapper stream. If the stream is primitive type it would be easy to carry out operation over stream and more memory efficient since there would be no boxing and unboxing involved
Output

java.util.stream.ReferencePipeline$Head@1d251891
java.util.stream.IntPipeline$Head@2133c8f8
----------Wrapper Streams Starts----------
Optional[46]
Optional[2]
Optional[9]
6.571428571428571
----------Primitive Streams Starts----------
46
OptionalInt[2]
OptionalInt[9]
OptionalDouble[6.571428571428571]

How to create a primitive stream of Int?

  IntStream arrReviews3 = IntStream.of(8, 9, 8 , 6, 2, 7, 6);

Basic Operations in primitive stream of Int?

range – Considers nos in specific range.range doesnot takes upper limit no.To address that rangeClosed is used
iterate– Iterate helps in iterating till a particular range by taking Initial and urnaryOperator as params. The default behaviour of Iterator is endless loop.To stop after particular limit like one we did in range we should use limit function.
peek– peek helps going through the values in stream without making any changes. This method exists mainly to support debugging, where you want to see the elements as they flow past a certain point in a pipeline
boxed– boxed will help in boxing primitive to wrapper while collecting the values in to a list.

IntStream arrReviews = IntStream.of(8, 9, 8 , 6, 2, 7, 6);

        System.out.println("----------Stream printing Range of no ----------");

        System.out.println("range doesnot include last no 10 so sum is from 1 to 9 - " + IntStream.range(0,10).sum());
        System.out.println("rangeClosed would include last no 1 to 10 - " + IntStream.rangeClosed(0,10).sum());

        System.out.println("Using Peek we can look at nos in stream");
        System.out.println(IntStream.rangeClosed(0,10)
                                    .peek(System.out::println)
                                    .sum());

        System.out.println("iterate helps in iterating till a specific value");
        System.out.println(IntStream.iterate(1,e->e+1)
                                    .peek(System.out::println)
                                    .limit(10)
                                    .sum());

        System.out.println("iterate helps in iterating till a specific value");
        System.out.println(IntStream.iterate(1,e->e+2)
                                    .peek(System.out::println)
                                    .limit(10)
                                    .sum());

        System.out.println("Iterating over range and collecting in a list");
        List<Integer> arrIntegStream = IntStream.iterate(1,e->e+1)
                                                .peek(System.out::println)
                                                .limit(10)
                                                .boxed()
                                                .collect(Collectors.toList());
        System.out.println(arrIntegStream);

Finding Factorial of No of range 5

public class Factorial {
    public static void main(String[] args) {
        System.out.println(IntStream.rangeClosed(1,5).reduce(1, (x,y)->x*y));

        int i,fact=1;
        int number=5;//It is the number to calculate factorial
        for(i=1;i<=number;i++){
            fact=fact*i;
        }
        System.out.println(fact);
    }
}

Find Maximum of Number in Stream

class HelloWorld {
    public static void main(String[] args) {
       List<Integer> arrNum  = List.of(3,4,5,2,1);
       
       Integer max = arrNum.stream()
                           .max(Integer::compare)
                           .get();
                            
       System.out.print(max);
    }
}

Output

The same when used in Objects comparator should be used as one below.

Find Maximum of Number in Stream

.
.       
      Comparator<Employee> sortByExp = Comparator.comparing(Employee::getTotalExp);
      List<Employee> arrEmp11 =  arrEmployee.stream()      
                                            .max(sortByExp);
.
.

Basic String Operation in Streams

Join strings in a list using Collectors.joining
Make Array of String using split. Split would return Array Stream
Apply transformation in elements in list using replaceAll
To flatten the Array Stream in the List use flatMap
Get rid of particular element in List of String using removeIf
Use replaceAll to carry Out Transformation similar to map()
Use peek to support debugging, where you want to see the elements as they flow past a certain point in a pipeline

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;

public class StringOps {
    public static void main(String[] args) {
        List<String> arrSkills = List.of("Core Java", "Core Spring", "Spring MVC", "Spring Security", "Spring Boot", "RestAPI");

        System.out.println("-----Join Elements in List using Seperator - [,]---------");
        String skills = arrSkills.stream().collect(Collectors.joining(","));
        System.out.println("Skills are "+ skills);

        System.out.println("-----Split String and Store in String Array---------");
        String[] arrSkillList = skills.split(",");
        Arrays.stream(arrSkillList).forEach(System.out::println);

        System.out.println("-----Convert to UpperCase---------");
        List<String> arrModSkills = new ArrayList(arrSkills);
        arrModSkills.replaceAll(str -> str.toUpperCase());
        arrModSkills.forEach(System.out::println);

        System.out.println("-----Using flatMap to flatten Arrays of Stream and Getting Distinct Location---------");
        List<String> arrLocation = List.of("Madras,Mumbai,Bangalore", "Madras,Kolkatta,Delhi", "Delhi,Madras");
        List allLocations = arrLocation.stream()
                                       .map(location->location.split(","))
                                       .peek(loc-> System.out.println(loc))
                                       .flatMap(Arrays::stream)
                                       .distinct()
                                       .collect(Collectors.toList());

        allLocations.stream()
                    .map(loc->replaceMadras(loc.toString()))
                    .forEach(System.out::println);

        System.out.println("------------Remove Particular Location using removeIf------------");
        allLocations.removeIf(loc->loc.equals("Delhi"));
        allLocations.forEach(loc-> System.out.println(loc));
    }

    private static String replaceMadras(String location){
        if(location.equals("Madras"))
            return "Chennai";
        else
            return location;
    }
}

Converting Multiple List into Single List

public class StreamMisc {
    public static void main(String[] args) {
        List<List<String>> arrSkills = new ArrayList<>();
        arrSkills.add(Arrays.asList("Java", "C++", "C#"));
        arrSkills.add(Arrays.asList("HTML", "CSS"));
        arrSkills.add(Arrays.asList("SQL", "MySQL"));
        arrSkills.add(Arrays.asList("Azure"));

        List<String> arrAllSkills = arrSkills.stream().reduce(new ArrayList<>(), (a, b) -> {
            a.addAll(b);
            return a;
        });

        arrAllSkills.forEach((skill) -> System.out.print(skill + ","));
    }
}

Output

Java,C++,C#,HTML,CSS,SQL,MySQL,Azure

Higher-order functions are functions that take other functions as arguments or return functions as their results.

In the below example we Search employee by Location using Predicate.
If we are not using HOF we need to assign new predicate to variable each and everytime like empFromDelhi
Instead of doing that we have a HOF getEmpByLocation which takes location as string in arguments and returns function in its return type

public class HigherOrdFns {
    public static void main(String[] args) {
        Employee objEmp1 = new Employee(101, "Mugil", 30, "Chennai", "600018", 5, 5000);
        Employee objEmp2 = new Employee(102, "Mani", 33, "Chennai", "600028", 4, 6000);
        Employee objEmp3 = new Employee(103, "Madhu", 32, "Chennai", "600054", 6, 10000);
        Employee objEmp4 = new Employee(104, "Vinu", 29, "Bangalore", "500234", 5, 15000);
        Employee objEmp5 = new Employee(105, "Srini", 40, "Delhi", "622142", 10, 7000);
        Employee objEmp6 = new Employee(106, "Dimple", 35, "Delhi", "622142", 5, 8000);

        List<Employee> arrEmployee = Arrays.asList(objEmp1, objEmp2, objEmp3, objEmp4, objEmp5, objEmp6);

        Predicate<Employee> empFromDelhi = employee -> employee.getLocation().equals("Delhi");

        arrEmployee.stream().filter(empFromDelhi).forEach(System.out::println);
        arrEmployee.stream().filter(getEmpByLocation("Chennai")).forEach(System.out::println);
        arrEmployee.stream().filter(getEmpByLocation("Bangalore")).forEach(System.out::println);
    }

    //Higher Order function which return function as return type
    private static Predicate<Employee> getEmpByLocation(String location) {
        return employee -> employee.getLocation().equals(location);
    }
}

Swagger Consist of Three Parts

swagger-editor– Helps in editing yml file as per Open API Specification
swagger-ui– dist folder helps in circulating API documentation
swagger-codegen

Installing Swagger in Local
Swagger needs http-server. We would use node http-server. We should navigate to the swagger editor folder and start the http-server.

>>npm install -g http-server
>>npm install
>>http-server swagger-editor -a 127.0.0.1 -p 8090
>>http-server swagger-ui -a 127.0.0.1 -p 8091

For the API Documentation we can copy and ship the dist folder in swagger-ui folder. We would have already placed the yaml file which we have created in swagger-editor in swagger-ui folder. Now we should edit the index.html file in swagger-ui folder as below to point to out yml file

index.html

.
.
window.onload = function() {
  // Begin Swagger UI call region
  const ui = SwaggerUIBundle({
  url: "EmpMgmt.yaml",
  dom_id: '#swagger-ui',
   deepLinking: true,
.
.

Presuming the project has Documentation in api-docs folder we can now start the server as below

>>D:\Projects\workspace\EmpMgmt> http-server api-docs -a 127.0.0.1 -p 8091

Refernce for OpenAPI Specification
https://github.com/OAI/OpenAPI-Specification/tree/main/versions

CodeThatAint

Rest Few Basics

Spring Security – Using https for CRUD by installing SSL

How Digest Security Works

Streams – Filter, Map and Reduce

Stream Code Interview Questions

How Lambda Expression Works Internally

Real Time Example Using Lambda Functions

Streams in Action

Higher Order Functions

Notes on Swagger