The ConcurrentHashMap.values()
method in Java is used to obtain a collection view of the values contained in the ConcurrentHashMap
.
Table of Contents
- Introduction
values
Method Syntax- Examples
- Retrieving Values from a ConcurrentHashMap
- Iterating Over Values
- Real-World Use Case
- Example: Listing Active User Ages
- Conclusion
Introduction
The ConcurrentHashMap.values()
method is a member of the ConcurrentHashMap
class in Java. It provides a collection view of the values contained in the map. The ConcurrentHashMap
class is part of the java.util.concurrent
package, designed for high concurrency and scalability.
values() Method Syntax
The syntax for the values
method is as follows:
public Collection<V> values()
- The method takes no parameters.
- The method returns a
Collection
view of the values contained in the map.
Examples
Retrieving Values from a ConcurrentHashMap
The values
method can be used to retrieve the values from a ConcurrentHashMap
.
Example
import java.util.Collection;
import java.util.concurrent.ConcurrentHashMap;
public class ValuesExample {
public static void main(String[] args) {
// Creating a ConcurrentHashMap with String keys and Integer values
ConcurrentHashMap<String, Integer> people = new ConcurrentHashMap<>();
// Adding entries to the ConcurrentHashMap
people.put("Ravi", 25);
people.put("Priya", 30);
people.put("Vijay", 35);
// Retrieving the collection of values
Collection<Integer> values = people.values();
// Printing the collection of values
System.out.println("Values in ConcurrentHashMap: " + values);
}
}
Output:
Values in ConcurrentHashMap: [25, 30, 35]
Iterating Over Values
You can iterate over the values obtained from the values
method.
Example
import java.util.Collection;
import java.util.concurrent.ConcurrentHashMap;
public class IterateValuesExample {
public static void main(String[] args) {
// Creating a ConcurrentHashMap with String keys and Integer values
ConcurrentHashMap<String, Integer> people = new ConcurrentHashMap<>();
// Adding entries to the ConcurrentHashMap
people.put("Ravi", 25);
people.put("Priya", 30);
people.put("Vijay", 35);
// Retrieving the collection of values
Collection<Integer> values = people.values();
// Iterating over the values
System.out.println("Iterating over values:");
for (Integer value : values) {
System.out.println(value);
}
}
}
Output:
Iterating over values:
25
30
35
Real-World Use Case
Example: Listing Active User Ages
A common real-world use case for ConcurrentHashMap
is managing user session data and listing ages of active users.
Example
import java.util.Collection;
import java.util.concurrent.ConcurrentHashMap;
public class UserSessionStore {
public static void main(String[] args) {
// Creating a ConcurrentHashMap to manage user sessions
ConcurrentHashMap<String, String> userSessions = new ConcurrentHashMap<>();
ConcurrentHashMap<String, Integer> userAges = new ConcurrentHashMap<>();
// Adding user sessions and ages to the ConcurrentHashMap
userSessions.put("Ravi", "Active");
userAges.put("Ravi", 25);
userSessions.put("Priya", "Inactive");
userAges.put("Priya", 30);
userSessions.put("Vijay", "Active");
userAges.put("Vijay", 35);
// Retrieving the collection of values
Collection<Integer> activeUserAges = userAges.values();
// Printing the ages of active users
System.out.println("Ages of Active Users:");
for (String key : userSessions.keySet()) {
if ("Active".equals(userSessions.get(key))) {
System.out.println(userAges.get(key));
}
}
}
}
Output:
Ages of Active Users:
25
35
In this example, ConcurrentHashMap
is used to manage user session data and their corresponding ages. The values
method is employed to list the ages of active users in a thread-safe manner.
Conclusion
The ConcurrentHashMap.values()
method in Java provides a way to obtain a collection view of the values contained in a ConcurrentHashMap
in a thread-safe manner. By understanding how to use this method, you can efficiently manage collections of key-value pairs in your Java applications, especially in concurrent environments. The method allows you to retrieve and iterate over values, making it a versatile tool for data management in multi-threaded scenarios.
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