V tej vadnici bomo s pomočjo primerov spoznali razred Java ConcurrentHashMap in njegovo delovanje.
ConcurrentHashMap
Razred okviru Java zbirk zagotavlja niti varna zemljevid. To pomeni, da lahko več niti hkrati dostopa do zemljevida, ne da bi to vplivalo na doslednost vnosov na zemljevidu.
Izvaja vmesnik ConcurrentMap.
Ustvarite ConcurrentHashMap
Če želite ustvariti sočasno hashmapo, moramo najprej uvoziti java.util.concurrent.ConcurrentHashMap
paket. Ko uvozimo paket, lahko v Javi ustvarimo sočasne hashmape.
// ConcurrentHashMap with capacity 8 and load factor 0.6 ConcurrentHashMap numbers = new ConcurrentHashMap(8, 0.6f);
V zgornji kodi smo ustvarili sočasno hashmap z imenom številke.
Tukaj,
- Ključ - enolični identifikator, ki se uporablja za povezovanje vsakega elementa (vrednosti) na zemljevidu
- Vrednost - elementi, povezani s ključi na zemljevidu
Upoštevajte del new ConcurrentHashMap(8, 0.6)
. Tu je prvi parameter zmogljivost, drugi pa loadFactor .
- zmogljivost - Kapaciteta te karte je 8. Kar pomeni, da lahko shrani 8 vnosov.
- loadFactor - Faktor obremenitve tega zemljevida je 0,6. To pomeni, da se vsakič, ko je naša hash tabela zapolnjena za 60%, vnosi premaknejo v novo hash tabelo dvojne velikosti prvotne hash tabele.
Privzeta zmogljivost in faktor obremenitve
Možno je ustvariti sočasno hashmap, ne da bi opredelili njegovo zmogljivost in faktor obremenitve. Na primer
// ConcurrentHashMap with default capacity and load factor ConcurrentHashMap numbers1 = new ConcurrentHashMap();
Privzeto,
- zmogljivost zemljevida bo 16
- faktor obremenitve bo 0,75
Ustvarjanje ConcurrentHashMap iz drugih zemljevidov
Tukaj je opisano, kako lahko ustvarimo sočasno hashmapo, ki vsebuje vse elemente drugih zemljevidov.
import java.util.concurrent.ConcurrentHashMap; import java.util.HashMap; class Main ( public static void main(String() args) ( // Creating a hashmap of even numbers HashMap evenNumbers = new HashMap(); evenNumbers.put("Two", 2); evenNumbers.put("Four", 4); System.out.println("HashMap: " + evenNumbers); // Creating a concurrent hashmap from other map ConcurrentHashMap numbers = new ConcurrentHashMap(evenNumbers); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); ) )
Izhod
HashMap: (Four = 4, Two = 2) ConcurrentHashMap: (Four = 4, Two = 2, Three = 3)
Metode ConcurrentHashMap
ConcurrentHashMap
Razred določa metode, ki nam omogočajo, da opravljajo različne dejavnosti na zemljevidu.
Vstavite elemente v ConcurrentHashMap
put()
- na zemljevid vstavi določeno preslikavo ključa / vrednostiputAll()
- na ta zemljevid vstavi vse vnose z določenega zemljevidaputIfAbsent()
- na zemljevid vstavi določeno preslikavo ključa / vrednosti, če določeni ključ ni prisoten na zemljevidu
Na primer
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( // Creating ConcurrentHashMap of even numbers ConcurrentHashMap evenNumbers = new ConcurrentHashMap(); // Using put() evenNumbers.put("Two", 2); evenNumbers.put("Four", 4); // Using putIfAbsent() evenNumbers.putIfAbsent("Six", 6); System.out.println("ConcurrentHashMap of even numbers: " + evenNumbers); //Creating ConcurrentHashMap of numbers ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); // Using putAll() numbers.putAll(evenNumbers); System.out.println("ConcurrentHashMap of numbers: " + numbers); ) )
Izhod
ConcurrentHashMap parnih števil: (Six = 6, Four = 4, Two = 2) ConcurrentHashMap števil:: Six = 6, One = 1, Four = -4, Two = 2)
Dostopajte do elementov ConcurrentHashMap
1. Uporaba entrySet (), keySet () in vrednosti ()
entrySet()
- vrne nabor vseh preslikav ključ / vrednost zemljevidakeySet()
- vrne nabor vseh tipk zemljevidavalues()
- vrne niz vseh vrednosti zemljevida
Na primer
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // Using entrySet() System.out.println("Key/Value mappings: " + numbers.entrySet()); // Using keySet() System.out.println("Keys: " + numbers.keySet()); // Using values() System.out.println("Values: " + numbers.values()); ) )
Izhod
ConcurrentHashMap: (One = 1, Two = 2, Three = 3) Preslikave ključa / vrednosti: (One = 1, Two = 2, Three = 3) Tipke: (One, Two, Three) Vrednosti: (1, 2, 3 )
2. Uporaba get () in getOrDefault ()
get()
- Vrne vrednost, povezano z navedenim ključem. Vrne,null
če ključa ni mogoče najti.getOrDefault()
- Vrne vrednost, povezano z navedenim ključem. Vrne določeno privzeto vrednost, če ključa ni mogoče najti.
Na primer
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // Using get() int value1 = numbers.get("Three"); System.out.println("Using get(): " + value1); // Using getOrDefault() int value2 = numbers.getOrDefault("Five", 5); System.out.println("Using getOrDefault(): " + value2); ) )
Izhod
ConcurrentHashMap: (One = 1, Two = 2, Three = 3) Uporaba get (): 3 Uporaba getOrDefault (): 5
Odstranite elemente ConcurrentHashMap
remove(key)
- vrne in z zemljevida odstrani vnos, povezan z določenim ključemremove(key, value)
- removes the entry from the map only if the specified key mapped to the specified value and return a boolean value
For example,
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // remove method with single parameter int value = numbers.remove("Two"); System.out.println("Removed value: " + value); // remove method with two parameters boolean result = numbers.remove("Three", 3); System.out.println("Is the entry (Three=3) removed? " + result); System.out.println("Updated ConcurrentHashMap: " + numbers); ) )
Output
ConcurrentHashMap: (One=1, Two=2, Three=3) Removed value: 2 Is the entry (Three=3) removed? True Updated ConcurrentHashMap: (One=1)
Bulk ConcurrentHashMap Operations
The ConcurrentHashMap
class provides different bulk operations that can be applied safely to concurrent maps.
1. forEach() Method
The forEach()
method iterates over our entries and executes the specified function.
It includes two parameters.
- parallelismThreshold - It specifies that after how many elements operations in a map are executed in parallel.
- transformer - This will transform the data before the data is passed to the specified function.
For example,
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // forEach() without transformer function numbers.forEach(4, (k, v) -> System.out.println("key: " + k + " value: " + v)); // forEach() with transformer function System.out.print("Values are "); numbers.forEach(4, (k, v) -> v, (v) -> System.out.print(v + ", ")); ) )
Output
ConcurrentHashMap: (One = 1, Two = 2, Three = 3) key: One value: 1 key: Two value: 2 key: Three value: 3 Values are 1, 2, 3,
In the above program, we have used parallel threshold 4. This means if the map contains 4 entries, the operation will be executed in parallel.
Variation of forEach() Method
forEachEntry()
- executes the specified function for each entryforEachKey()
- executes the specified function for each keyforEachValue()
- executes the specified function for each value
2. search() Method
The search()
method searches the map based on the specified function and returns the matched entry.
Here, the specified function determines what entry is to be searched.
It also includes an optional parameter parallelThreshold. The parallel threshold specifies that after how many elements in the map the operation is executed in parallel.
For example,
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // Using search() String key = numbers.search(4, (k, v) -> (return v == 3 ? k: null;)); System.out.println("Searched value: " + key); ) )
Output
ConcurrentHashMap: (One=1, Two=2, Three=3) Searched value: Three
Variants of search() Method
searchEntries()
- search function is applied to key/value mappingssearchKeys()
- search function is only applied to the keyssearchValues()
- search function is only applied to the values
3. reduce() Method
The reduce()
method accumulates (gather together) each entry in a map. This can be used when we need all the entries to perform a common task, like adding all the values of a map.
It includes two parameters.
- parallelismThreshold - It specifies that after how many elements, operations in a map are executed in parallel.
- transformer - This will transform the data before the data is passed to the specified function.
For example,
import java.util.concurrent.ConcurrentHashMap; class Main ( public static void main(String() args) ( ConcurrentHashMap numbers = new ConcurrentHashMap(); numbers.put("One", 1); numbers.put("Two", 2); numbers.put("Three", 3); System.out.println("ConcurrentHashMap: " + numbers); // Using search() int sum = numbers.reduce(4, (k, v) -> v, (v1, v2) -> v1 + v2); System.out.println("Sum of all values: " + sum); ) )
Output
ConcurrentHashMap: (One=1, Two=2, Three=3) Sum of all values: 6
In the above program, notice the statement
numbers.reduce(4, (k, v) -> v, (v1, v2) -> v1+v2);
Here,
- 4 is a parallel threshold
- (k, v) -> v is a transformer function. It transfers the key/value mappings into values only.
- (v1, v2) -> v1+v2 is a reducer function. It gathers together all the values and adds all values.
Variants of reduce() Method
reduceEntries()
- returns the result of gathering all the entries using the specified reducer functionreduceKeys()
- returns the result of gathering all the keys using the specified reducer functionreduceValues()
- returns the result of gathering all the values using the specified reducer function
ConcurrentHashMap vs HashMap
Here are some of the differences between ConcurrentHashMap
and HashMap,
ConcurrentHashMap
is a thread-safe collection. That is, multiple threads can access and modify it at the same time.ConcurrentHashMap
provides methods for bulk operations likeforEach()
,search()
andreduce()
.
Why ConcurrentHashMap?
ConcurrentHashMap
Razred omogoča več niti za dostop do svojih vnosov hkrati.- Privzeto je sočasni hashmap razdeljen na 16 segmentov . To je razlog, zakaj lahko 16 niti istočasno spreminja zemljevid. Do zemljevida pa lahko hkrati dostopa poljubno število niti.
putIfAbsent()
Metoda ne bo razveljavila vpis na zemljevidu, če je navedeni ključ že obstaja.- Omogoča lastno sinhronizacijo.