In previous post, we compared LinkedList and ArrayList in addition operations using JMH.
In this post, we are going to compare ArrayList and LinkedList performance using deletion operations.
TRY IT YOURSELF: You can find the source code of this post here.
Java Collections List Series
- Part 1: Java Collections: List
- Part 2: ArrayList vs LinkedList: Addition
- Part 3: ArrayList vs LinkedList: Deletion (You are here)
- Part 4: ArrayList vs LinkedList: Sort, Get and Iteration
Environment
- JDK 11.0.3, OpenJDK 64-Bit Server VM, 11.0.3+7-Ubuntu-1ubuntu218.04.1
- Ubuntu 18.04
- Memory 15,6 GiB
- Processor Intel® Core™ i7-7500U CPU @ 2.70GHz × 4
- Graphics Intel® HD Graphics 620 (Kaby Lake GT2)
- OS 64-bit
- Disk 387,9 GB
- Intellj IDE Community 2018.3
Approach
- We are going to use JMH for the micro benchmark.
- We are going to use a list of 10.000.000 of elements, generated randomly, and we are going to calculate the average response time in 10 iterations.
- As JMH doesn’t allow sharing data between benchmarks, we are going to create a file with the list of elements, and read from it by each benchmark. In that way, we guarantee we are measuring the same scenario.
Deleting from the End – remove(size - 1)
Now, let’s see the code for measuring how ArrayList and LinkedList behave when we need to remove from the end:
@Test public void remove_end() throws RunnerException, IOException { Utils.populateToFile(); Options opt = new OptionsBuilder() .include( ArrayListVsLinkedListDeletionEndTest.class .getSimpleName()) .detectJvmArgs() .build(); Collection<RunResult> runResults = new Runner(opt) .run(); Result arrayListResult = Utils .find("arrayList", runResults); Result linkedListResult = Utils .find("linkedList", runResults); assertThat(linkedListResult.getScore()) .isLessThan(arrayListResult.getScore()); } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public ArrayList<Integer> arrayList( ArrayListExecutionPlan executionPlan) { ArrayList<Integer> list = executionPlan.arrayList; list.remove(list.size() - 1); return list; } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public LinkedList<Integer> linkedList( LinkedListExecutionPlan executionPlan) { LinkedList<Integer> list = executionPlan.linkedList; list.remove(list.size() - 1); return list; }
TRY IT YOURSELF: You can find this source code here.
Now, let’s see the results:

That is pretty interesting, LinkedList and ArrayList have pretty much a equal behavior. Let’s see why they behave like that.
NOTE: Careful, if you run those tests multiple times, the result mightn’t be equal
ArrayList
Well, let’s use this example:

Now, we want to remove the index 6 of the list. So, ArrayList will do the following:
- Set NULL the 6 position:

2. Change the array size variable from 7 to 6:

TIP: In a logic point of view, the ArrayList size is now 6, however, its pure array is 7. That means, the next time we need to add a new element at the end, is going to be fast, there is a position available.
We can conclude:
- In the worst case, we just need to set NULL the last position
- The amount of operations is 1.
- The complexity of this operation is O(1).
LinkedList
Well, let’s use this example:

Now, we want to remove the 6 index from the list. This is the process:
1.Move the Tail one index before:

2. Unlink the previous Tail from the new Tail:

3. The garbage collector is going to reclaim the unlinked node:

We can conclude:
- We only need to unlink the node from the Tail.
- The amount of operations is 1.
- The complexity of this operation is O(1).
Deleting from the Middle – remove(size / 2)
Now, let’s see the code for measuring how ArrayList and LinkedList behave when we need to remove from the middle:
@Test public void remove_middle() throws RunnerException, IOException { Utils.populateToFile(); Options opt = new OptionsBuilder() .include( ArrayListVsLinkedListDeletionMiddleTest.class .getSimpleName()) .detectJvmArgs() .build(); Collection<Integer> runResults = new Runner(opt) .run(); Result arrayListResult = Utils .find("arrayList", runResults); Result linkedListResult = Utils .find("linkedList", runResults); assertThat(linkedListResult.getScore()) .isLessThan(arrayListResult.getScore()); } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public ArrayList<Integer> arrayList( ArrayListExecutionPlan executionPlan) { ArrayList<Integer> list = executionPlan.arrayList; list.remove(list.size() / 2); return list; } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public LinkedList<Integer> linkedList( LinkedListExecutionPlan executionPlan) { LinkedList<Integer> list = executionPlan.linkedList; list.remove(list.size() / 2); return list; }
TRY IT YOURSELF: You can find this source code here.
Now, let’s see the results:

Again, LinkedList and ArrayList have pretty much a equal behavior. Let’s see why they behave like that.
ArrayList
Well, let’s use this example:

Now, we want to remove the 3 index from the list. So, ArrayList will do the following:
1. Set NULL the 3 index:

2. Move the whole elements after 3 index one position before:

We can conclude:
- In the worst case, we need to move the half of the list one position before.
- The amount of operations is n/2.
- The complexity of this operation is O(n).
LinkedList
Well, let’s use this example:

Now, we want to remove the 3 index from the list. This is the process:
1. Move to the index from the closest reference (Head or Tail), in this case, Head is closest:

2. Removing the reference from the 3 index, to previous (2) and next (4):

3. Linking the 2 index to 4 index:

4. The garbage collector is going to reclaim the unlinked node:

We can conclude:
- In the worst case, we need to move from the head/tail to the index
- The amount of operations is n/2.
- The complexity of this operation is O(n).
Removing from the Start – remove(0)
Now, let’s see the code for measuring how ArrayList and LinkedList behave when we need to remove from the start:
@Test public void remove_start() throws RunnerException, IOException { Utils.populateToFile(); Options opt = new OptionsBuilder() .include( ArrayListVsLinkedListDeletionStartTest.class .getSimpleName()) .detectJvmArgs() .build(); Collection<RunResult> runResults = new Runner(opt) .run(); Result arrayListResult = Utils .find("arrayList", runResults); Result linkedListResult = Utils .find("linkedList", runResults); assertThat(linkedListResult.getScore()) .isLessThan(arrayListResult.getScore()); } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public ArrayList<Integer> arrayList( ArrayListExecutionPlan executionPlan) { ArrayList<Integer> list = executionPlan.arrayList; list.remove(0); return list; } @Benchmark @Measurement(iterations = Utils.amountIterations, batchSize = 1, time = 1) @BenchmarkMode(Mode.SingleShotTime) @Fork(1) @Warmup(iterations = 10) @OutputTimeUnit(TimeUnit.MILLISECONDS) public LinkedList<Integer> linkedList( LinkedListExecutionPlan executionPlan) { LinkedList<Integer> list = executionPlan.linkedList; list.remove(0); return list; }
TRY IT YOURSELF: You can find this source code here.
Now, let’s see the results:

LinkedList is faster, pretty fast. Let’s see why they behave like that.
ArrayList
Well, let’s use this example:

Now, we want to remove the 0 index from the list. So, ArrayList will do the following:
1. Set NULL the 0 index:

2. Move the whole elements one position before:

2. Change the array size variable from 7 to 6:

We can conclude:
- In the worst case, we need to move the whole elements minus one, one position before.
- The amount of operations is n-1.
- The complexity of this operation is O(n).
LinkedList
Well, let’s use this example:

Now, we want to remove the 0 index from the list. This is the process:
1. Move the Head one position forward:

2. Unlink the 0 index from the Head:

3. The garbage collector is going to reclaim the unlinked node:

We can conclude:
- We only need to unlink the node from the Head.
- The amount of operations is 1.
- The complexity of this operation is O(1).
Summary
Okey, this is a summary of the amount of operations in the deletion operations between ArrayList and LinkedList:
ArrayList | LinkedList | ||||
Operation | Method | Best | Worst | Best | Worst |
Remove From End | remove(size-1) | 1 | 1 | 1 | 1 |
Remove From Middle | remove(size/2) | n/2 | n/2 | n/2 | n/2 |
Remove From Start | remove(0) | n-1 | n-1 | 1 | 1 |
Then, this is a summary of the Big O complexity in the deletion operations between ArrayList and LinkedList:
ArrayList | LinkedList | ||||
Operation | Method | Best | Worst | Best | Worst |
Remove From End | remove(size-1) | O(1) | O(1) | O(1) | O(1) |
Remove From Middle | remove(size/2) | O(n) | O(n) | O(n) | O(n) |
Remove From Start | remove(0) | O(n) | O(n) | O(1) | O(1) |
Final Thought
As we saw, LinkedList is better than ArrayList when we talk about deletion operations.
However, ArrayList behaves similar in 2 of 3 deletion operations.
In the following post, we are going to talk about sort, get and iteration operations.
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