AbstractMap hashCode() Method in Java with Examples
Last Updated :
26 Oct, 2018
The AbstractMap.hashCode() method in Java is used to fetch the hash code value of a particular this AbstractMap. A map consists of a number of buckets to store the key-value pair. Each bucket has a unique identity and when a key-value pair is inserted into a bucket, the key’s hashcode is matched with the identifier of the bucket, and if its a match the pair is stored successfully. This is how the hash code works.
Syntax:
AbstractMap.hashCode()
Parameters: The method does not accept any parameters.
Return Value: The method returns the hashcode value of the map.
Below programs are used to illustrate the working of AbstractMap.hashCode() Method:
Program 1: Mapping String Values to Integer Keys.
import java.util.*;
public class Abstract_Map_Demo {
public static void main(String[] args)
{
AbstractMap<Integer, String>
abs_map = new IdentityHashMap<Integer, String>();
abs_map.put( 10 , "Geeks" );
abs_map.put( 15 , "4" );
abs_map.put( 20 , "Geeks" );
abs_map.put( 25 , "Welcomes" );
abs_map.put( 30 , "You" );
System.out.println( "Initial Mappings are: "
+ abs_map);
System.out.println( "The hashcode value of the map: "
+ abs_map.hashCode());
}
}
|
Output:
Initial Mappings are: {10=Geeks, 30=You, 20=Geeks, 25=Welcomes, 15=4}
The hashcode value of the map: 2043437408
Program 2: Mapping Integer Values to String Keys.
import java.util.*;
public class Abstract_Map_Demo {
public static void main(String[] args)
{
AbstractMap<String, Integer>
abs_hash = new IdentityHashMap<String, Integer>();
abs_hash.put( "Geeks" , 10 );
abs_hash.put( "4" , 15 );
abs_hash.put( "Geeks" , 20 );
abs_hash.put( "Welcomes" , 25 );
abs_hash.put( "You" , 30 );
System.out.println( "Initial Mappings are: "
+ abs_hash);
System.out.println( "The hashcode value of the map: "
+ abs_hash.hashCode());
}
}
|
Output:
Initial Mappings are: {Geeks=20, Welcomes=25, You=30, 4=15}
The hashcode value of the map: 751311572
Note: The same operation can be performed with any type of Mapping with variation and combination of different data types.
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