I have quite large List named items (>= 1,000,000 items) and some condition denoted by
OK, it's time for test results of proposed approaches. Here what approaches I have tested (name of each approach is also class name in my sources):
NaiveRemoveManyPerformer
- ArrayList
with iterator and remove - first and naive implementation given in my question.BetterNaiveRemoveManyPerformer
- ArrayList
with backward iteration and removal from end to front.LinkedRemoveManyPerformer
- naive iterator and remove but working on LinkedList
. Disadventage: works only for LinkedList
.CreateNewRemoveManyPerformer
- ArrayList
is made as a copy (only retained elements are added), iterator is used to traverse input ArrayList
.SmartCreateNewRemoveManyPerformer
- better CreateNewRemoveManyPerformer
- initial size (capacity) of result ArrayList
is set to final list size. Disadvantage: you must know final size of list when starting.FasterSmartCreateNewRemoveManyPerformer
- even better (?) SmartCreateNewRemoveManyPerformer
- use item index (items.get(idx)
) instead of iterator.MagicRemoveManyPerformer
- works in place (no list copy) for ArrayList
and compacts holes (removed items) from beginning with items from end of the list. Disadventage: this approach changes order of items in list.ForwardInPlaceRemoveManyPerformer
- works in place for ArrayList
- move retaining items to fill holes, finally subList is returned (no final removal or clear).GuavaArrayListRemoveManyPerformer
- Google Guava Iterables.removeIf
used for ArrayList
- almost the same as ForwardInPlaceRemoveManyPerformer
but does final removal of items at the end of list.Full source code is given at the end of this answer.
Tests where performed with different list sizes (from 10,000 items to 10,000,000 items) and different remove factors (specifying how many items must be removed from list).
As I posted here in comments for other answers - I have thought that copying items from ArrayList
to second ArrayList
will be faster than iterating LinkedList
and just removing items. Sun's Java Documentation says that constant factor of ArrayList
is low compared to that for the LinkedList
implementation, but surprisingly this is not the case in my problem.
In practice LinkedList
with simple iteration and removal has best performance in most cases (this approach is implemented in LinkedRemoveManyPerformer
). Usually only MagicRemoveManyPerformer
performance is comparable to LinkedRemoveManyPerformer
, other approaches are significantly slower. Google Guava GuavaArrayListRemoveManyPerformer
is slower than hand made similar code (because my code does not remove unnecessary items at end of list).
Example results for removing 500,000 items from 1,000,000 source items:
NaiveRemoveManyPerformer
: test not performed - I'm not that patient, but it performs worse than BetterNaiveRemoveManyPerformer
.BetterNaiveRemoveManyPerformer
: 226080 milli(s)LinkedRemoveManyPerformer
: 69 milli(s)CreateNewRemoveManyPerformer
: 246 milli(s)SmartCreateNewRemoveManyPerformer
: 112 milli(s)FasterSmartCreateNewRemoveManyPerformer
: 202 milli(s)MagicRemoveManyPerformer
: 74 milli(s)ForwardInPlaceRemoveManyPerformer
: 69 milli(s)GuavaArrayListRemoveManyPerformer
: 118 milli(s)Example results for removing 1 item from 1,000,000 source items (first item is removed):
Example results for removing 333,334 items from 1,000,000 source items:
Example results for removing 1,000,000 (all) items from 1,000,000 source items (all items are removed but with one-by-one processing, if you know a priori that all items are to be removed, list should be simply cleared):
My final conclusions: use hybrid approach - if dealing with LinkedList - simple iteration and removal is best, if dealing with ArrayList - it depends if item order is important - use ForwardInPlaceRemoveManyPerformer then, if item order may be changed - best choice is MagicRemoveManyPerformer. If remove factor is known a priori (you know how many items will be removed vs retained) then some more conditionals may be put to select approach performing even better in particular situation. But known remove factor is not usual case... Google Guava Iterables.removeIf
is such a hybrid solution but with slightly different assumption (original list must be changed, new one cannot be created and item order always matters) - these are most common assumptions so removeIf
is best choice in most real-life cases.
Notice also that all good approaches (naive is not good!) are good enough - any one of them shold do just fine in real application, but naive approach must be avoided.
At last - my source code for testing.
package WildWezyrListRemovalTesting;
import com.google.common.base.Predicate;
import com.google.common.collect.Iterables;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
public class RemoveManyFromList {
public static abstract class BaseRemoveManyPerformer {
protected String performerName() {
return getClass().getSimpleName();
}
protected void info(String msg) {
System.out.println(performerName() + ": " + msg);
}
protected void populateList(List items, int itemCnt) {
for (int i = 0; i < itemCnt; i++) {
items.add(i);
}
}
protected boolean mustRemoveItem(Integer itemVal, int itemIdx, int removeFactor) {
if (removeFactor == 0) {
return false;
}
return itemIdx % removeFactor == 0;
}
protected abstract List removeItems(List items, int removeFactor);
protected abstract List createInitialList();
public void testMe(int itemCnt, int removeFactor) {
List items = createInitialList();
populateList(items, itemCnt);
long startMillis = System.currentTimeMillis();
items = removeItems(items, removeFactor);
long endMillis = System.currentTimeMillis();
int chksum = 0;
for (Integer item : items) {
chksum += item;
}
info("removing took " + (endMillis - startMillis)
+ " milli(s), itemCnt=" + itemCnt
+ ", removed items: " + (itemCnt - items.size())
+ ", remaining items: " + items.size()
+ ", checksum: " + chksum);
}
}
private List rmps =
new ArrayList();
public void addPerformer(BaseRemoveManyPerformer rmp) {
rmps.add(rmp);
}
private Runtime runtime = Runtime.getRuntime();
private void runGc() {
for (int i = 0; i < 5; i++) {
runtime.gc();
}
}
public void testAll(int itemCnt, int removeFactor) {
runGc();
for (BaseRemoveManyPerformer rmp : rmps) {
rmp.testMe(itemCnt, removeFactor);
}
runGc();
System.out.println("\n--------------------------\n");
}
public static class NaiveRemoveManyPerformer
extends BaseRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
if (items.size() > 300000 && items instanceof ArrayList) {
info("this removeItems is too slow, returning without processing");
return items;
}
int i = 0;
Iterator iter = items.iterator();
while (iter.hasNext()) {
Integer item = iter.next();
if (mustRemoveItem(item, i, removeFactor)) {
iter.remove();
}
i++;
}
return items;
}
@Override
public List createInitialList() {
return new ArrayList();
}
}
public static class BetterNaiveRemoveManyPerformer
extends NaiveRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
// if (items.size() > 300000 && items instanceof ArrayList) {
// info("this removeItems is too slow, returning without processing");
// return items;
// }
for (int i = items.size(); --i >= 0;) {
Integer item = items.get(i);
if (mustRemoveItem(item, i, removeFactor)) {
items.remove(i);
}
}
return items;
}
}
public static class LinkedRemoveManyPerformer
extends NaiveRemoveManyPerformer {
@Override
public List createInitialList() {
return new LinkedList();
}
}
public static class CreateNewRemoveManyPerformer
extends NaiveRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
List res = createResultList(items, removeFactor);
int i = 0;
for (Integer item : items) {
if (mustRemoveItem(item, i, removeFactor)) {
// no-op
} else {
res.add(item);
}
i++;
}
return res;
}
protected List createResultList(List items, int removeFactor) {
return new ArrayList();
}
}
public static class SmartCreateNewRemoveManyPerformer
extends CreateNewRemoveManyPerformer {
@Override
protected List createResultList(List items, int removeFactor) {
int newCapacity = removeFactor == 0 ? items.size()
: (int) (items.size() * (removeFactor - 1L) / removeFactor + 1);
//System.out.println("newCapacity=" + newCapacity);
return new ArrayList(newCapacity);
}
}
public static class FasterSmartCreateNewRemoveManyPerformer
extends SmartCreateNewRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
List res = createResultList(items, removeFactor);
for (int i = 0; i < items.size(); i++) {
Integer item = items.get(i);
if (mustRemoveItem(item, i, removeFactor)) {
// no-op
} else {
res.add(item);
}
}
return res;
}
}
public static class ForwardInPlaceRemoveManyPerformer
extends NaiveRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
int j = 0; // destination idx
for (int i = 0; i < items.size(); i++) {
Integer item = items.get(i);
if (mustRemoveItem(item, i, removeFactor)) {
// no-op
} else {
if (j < i) {
items.set(j, item);
}
j++;
}
}
return items.subList(0, j);
}
}
public static class MagicRemoveManyPerformer
extends NaiveRemoveManyPerformer {
@Override
public List removeItems(List items, int removeFactor) {
for (int i = 0; i < items.size(); i++) {
if (mustRemoveItem(items.get(i), i, removeFactor)) {
Integer retainedItem = removeSomeFromEnd(items, removeFactor, i);
if (retainedItem == null) {
items.remove(i);
break;
}
items.set(i, retainedItem);
}
}
return items;
}
private Integer removeSomeFromEnd(List items, int removeFactor, int lowerBound) {
for (int i = items.size(); --i > lowerBound;) {
Integer item = items.get(i);
items.remove(i);
if (!mustRemoveItem(item, i, removeFactor)) {
return item;
}
}
return null;
}
}
public static class GuavaArrayListRemoveManyPerformer
extends BaseRemoveManyPerformer {
@Override
protected List removeItems(List items, final int removeFactor) {
Iterables.removeIf(items, new Predicate() {
public boolean apply(Integer input) {
return mustRemoveItem(input, input, removeFactor);
}
});
return items;
}
@Override
protected List createInitialList() {
return new ArrayList();
}
}
public void testForOneItemCnt(int itemCnt) {
testAll(itemCnt, 0);
testAll(itemCnt, itemCnt);
testAll(itemCnt, itemCnt - 1);
testAll(itemCnt, 3);
testAll(itemCnt, 2);
testAll(itemCnt, 1);
}
public static void main(String[] args) {
RemoveManyFromList t = new RemoveManyFromList();
t.addPerformer(new NaiveRemoveManyPerformer());
t.addPerformer(new BetterNaiveRemoveManyPerformer());
t.addPerformer(new LinkedRemoveManyPerformer());
t.addPerformer(new CreateNewRemoveManyPerformer());
t.addPerformer(new SmartCreateNewRemoveManyPerformer());
t.addPerformer(new FasterSmartCreateNewRemoveManyPerformer());
t.addPerformer(new MagicRemoveManyPerformer());
t.addPerformer(new ForwardInPlaceRemoveManyPerformer());
t.addPerformer(new GuavaArrayListRemoveManyPerformer());
t.testForOneItemCnt(1000);
t.testForOneItemCnt(10000);
t.testForOneItemCnt(100000);
t.testForOneItemCnt(200000);
t.testForOneItemCnt(300000);
t.testForOneItemCnt(500000);
t.testForOneItemCnt(1000000);
t.testForOneItemCnt(10000000);
}
}