Which is faster TreeMap or HashMap?

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Oh, and it actually generates JPA entities from an existing database and gradually update the data model as the database evolves! Yeah . More concretely, it provides powerful tooling to generate Spring Data JPA repositories and methods, Flyway Versioned Migrations, Liquibase Differential Changelogs, DDL and SQL statements, DTO objects, and MapStruct interfaces. If you're using IntelliJ, JPA Buddy is super helpful . The plugin gently guides you through the subtleties of the most popular JPA implementations, visually reminds you of JPA features, generates code that follows best practices, and integrates intelligent inspections to improve your existing persistence code . JPA is huge! It covers nearly every aspect of communication between relational databases and the Java application and is deeply integrated into all major frameworks. Not having to roll all of that out manually, but instead integrating a mature, fully-fledged solution - yeah, that makes a lot of sense.That's basically what Frontegg is -It's focused on making your app scalable, secure and enjoyable for your users.From signup to authentication, it supports simple scenarios all the way to complex and custom application logic.

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User management is very complex, when implemented properly. No surprise here.

If you have a few years of experience in the Java ecosystem and you’d like to share that with the community, have a look at our Contribution Guidelines .

1. Introduction

In this article, we're going to compare two Map implementations: TreeMap and HashMap. Both implementations form an integral part of the Java Collections Framework and store data as key-value pairs.

2. Differences

2.1. Implementation

We'll first talk about the HashMap which is a hashtable-based implementation. It extends the AbstractMap class and implements the Map interface. A HashMap works on the principle of hashing. This Map implementation usually acts as a bucketed hash table, but when buckets get too large, they get transformed into nodes of TreeNodes, each structured similarly to those in java.util.TreeMap. You can find more on the HashMap's internals in the article focused on it. On the other hand, TreeMap extends AbstractMap class and implements NavigableMap interface. A TreeMap stores map elements in a Red-Black tree, which is a Self-Balancing Binary Search Tree. And, you can also find more on the TreeMap's internals in the article focused on it here.

2.2. Order

HashMap doesn't provide any guarantee over the way the elements are arranged in the Map. It means, we can't assume any order while iterating over keys and values of a HashMap: @Test public void whenInsertObjectsHashMap_thenRandomOrder() { Map hashmap = new HashMap<>(); hashmap.put(3, "TreeMap"); hashmap.put(2, "vs"); hashmap.put(1, "HashMap"); assertThat(hashmap.keySet(), containsInAnyOrder(1, 2, 3)); }

However, items in a TreeMap are sorted according to their natural order.

If TreeMap objects cannot be sorted according to natural order then we may make use of a Comparator or Comparable to define the order in which the elements are arranged within the Map: @Test public void whenInsertObjectsTreeMap_thenNaturalOrder() { Map treemap = new TreeMap<>(); treemap.put(3, "TreeMap"); treemap.put(2, "vs"); treemap.put(1, "HashMap"); assertThat(treemap.keySet(), contains(1, 2, 3)); }

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2.3. Null Values

HashMap allows storing at most one null key and many null values.

Let's see an example:

@Test public void whenInsertNullInHashMap_thenInsertsNull() { Map hashmap = new HashMap<>(); hashmap.put(null, null); assertNull(hashmap.get(null)); } However, TreeMap doesn't allow a null key but may contain many null values. A null key isn't allowed because the compareTo() or the compare() method throws a NullPointerException: @Test(expected = NullPointerException.class) public void whenInsertNullInTreeMap_thenException() { Map treemap = new TreeMap<>(); treemap.put(null, "NullPointerException"); } If we're using a TreeMap with a user-defined Comparator, then it depends on the implementation of the compare() method how null values get handled.

3. Performance Analysis

Performance is the most critical metric that helps us understand the suitability of a data-structure given a use-case. In this section, we'll provide a comprehensive analysis of performance for HashMap and TreeMap.

3.1. HashMap

HashMap, being a hashtable-based implementation, internally uses an array-based data structure to organize its elements according to the hash function. HashMap provides expected constant-time performance O(1) for most operations like add(), remove() and contains(). Therefore, it's significantly faster than a TreeMap. The average time to search for an element under the reasonable assumption, in a hash table is O(1). But, an improper implementation of the hash function may lead to a poor distribution of values in buckets which results in:

Memory Overhead – many buckets remain unused

Performance Degradation – the higher the number of collisions, the lower the performance Before Java 8, Separate Chaining was the only preferred way to handle collisions. It's usually implemented using linked lists, i.e., if there is any collision or two different elements have same hash value then store both the items in the same linked list. Therefore, searching for an element in a HashMap, in the worst case could have taken as long as searching for an element in a linked list i.e. O(n) time. However, with JEP 180 coming into the picture, there's been a subtle change in the implementation of the way the elements are arranged in a HashMap. According to the specification, when buckets get too large and contain enough nodes they get transformed into modes of TreeNodes, each structured similarly to those in TreeMap. Hence, in the event of high hash collisions, the worst-case performance will improve from O(n) to O(log n).

The code performing this transformation has been illustrated below:

if(binCount >= TREEIFY_THRESHOLD - 1) { treeifyBin(tab, hash); }

The value for TREEIFY_THRESHOLD is eight which effectively denotes the threshold count for using a tree rather than a linked list for a bucket.

It is evident that:

A HashMap requires way more memory than is needed to hold its data A HashMap shouldn't be more than 70% – 75% full. If it gets close, it gets resized and entries rehashed Rehashing requires n operations which is costly wherein our constant time insert becomes of order O(n) It's the hashing algorithm which determines the order of inserting the objects in the HashMap The performance of a HashMap can be tuned by setting the custom initial capacity and the load factor, at the time of HashMap object creation itself.

However, we should choose a HashMap if:

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we know approximately how many items to maintain in our collection

we don't want to extract items in a natural order

Under the above circumstances, HashMap is our best choice because it offers constant time insertion, search, and deletion.

3.2. TreeMap

A TreeMap stores its data in a hierarchical tree with the ability to sort the elements with the help of a custom Comparator.

A summary of its performance:

TreeMap provides a performance of O(log(n)) for most operations like add(), remove() and contains() A Treemap can save memory (in comparison to HashMap) because it only uses the amount of memory needed to hold its items, unlike a HashMap which uses contiguous region of memory A tree should maintain its balance in order to keep its intended performance, this requires a considerable amount of effort, hence complicates the implementation

We should go for a TreeMap whenever:

memory limitations have to be taken into consideration

we don't know how many items have to be stored in memory

we want to extract objects in a natural order

if items will be consistently added and removed

we're willing to accept O(log n) search time

4. Similarities

4.1. Unique Elements

Both TreeMap and HashMap don't support duplicate keys. If added, it overrides the previous element (without an error or an exception): @Test public void givenHashMapAndTreeMap_whenputDuplicates_thenOnlyUnique() { Map treeMap = new HashMap<>(); treeMap.put(1, "Baeldung"); treeMap.put(1, "Baeldung"); assertTrue(treeMap.size() == 1); Map treeMap2 = new TreeMap<>(); treeMap2.put(1, "Baeldung"); treeMap2.put(1, "Baeldung"); assertTrue(treeMap2.size() == 1); }

4.2. Concurrent Access

Both Map implementations aren't synchronized and we need to manage concurrent access on our own. Both must be synchronized externally whenever multiple threads access them concurrently and at least one of the threads modifies them. We have to explicitly use Collections.synchronizedMap(mapName) to obtain a synchronized view of a provided map.

4.3. Fail-Fast Iterators

The Iterator throws a ConcurrentModificationException if the Map gets modified in any way and at any time once the iterator has been created.

Let's see an example:

@Test public void whenModifyMapDuringIteration_thenThrowExecption() { Map hashmap = new HashMap<>(); hashmap.put(1, "One"); hashmap.put(2, "Two"); Executable executable = () -> hashmap .forEach((key,value) -> hashmap.remove(1)); assertThrows(ConcurrentModificationException.class, executable); }

5. Which Implementation to Use?

In general, both implementations have their respective pros and cons, however, it's about understanding the underlying expectation and requirement which must govern our choice regarding the same.

Summarizing:

We should use a TreeMap if we want to keep our entries sorted

We should use a HashMap if we prioritize performance over memory consumption

Since a TreeMap has a more significant locality, we might consider it if we want to access objects that are relatively close to each other according to their natural ordering HashMap can be tuned using the initialCapacity and loadFactor, which isn't possible for the TreeMap We can use the LinkedHashMap if we want to preserve insertion order while benefiting from constant time access

6. Conclusion

In this article, we showed the differences and similarities between TreeMap and HashMap. As always, the code examples for this article are available over on GitHub. Java bottom Get started with Spring 5 and Spring Boot 2, through the Learn Spring course: >> CHECK OUT THE COURSE

baeldung.com - Java TreeMap vs HashMap - Baeldung

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