Major performance difference - OS X vs. Windows (CC 2014)

I've built an Action-based auto-painter, using the Art History Brush Tool plus the Tool Recording option within the Actions themselves. The development work was done on an iMac machine. Recently I've also been testing the very same Actions on a Windows PC.
Even though the specs for the two machines are very similar - and both normally run Photoshop CC 2014 in a very comparble way speed wise - the auto-painting done on the Windows machine is very slow. Completing the painting of a full 3000 by 2000 pixel image takes between 8 and 35 minutes using Windows. The same image can be painted in between one and a half and three minutes using the iMac. The averaged time-to-completion is approximately ten times faster for the iMac.
The actual specifications for the machines and the software preferences set are:
iMac
3.4 GHz Intel i7 processor
16 GB RAM
conventional HDD 1 TB
ATI Technologies AMD Radeon HD6970M 2048 MB
OS X 10.9.4
Photoshop CC 2014
- set to 75% available RAM
- set to 20 History states
- set to 6 cache levels, tile size 1024 kB
no other primary application open
Windows PC
3.3 GHz Intel i5 processor
16 GB RAM
SSD Intel 120 GB
AMD Radeon HD 6950 1024 MB
Windows 7 Pro (SP1)
Photoshop CC 2014
- set to 75% available RAM
- set to 20 History states
- set to 6 cache levels, tile size 1024 kB
no other primary application open
Does anyone have any suggestions on what might be causing the performance difference?

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MSI X99S SLI Plus LGA 2011-3 ATX Intel Motherboard
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                    EFI (disk0s1) <not mounted>: 209.7 MB
                    :c (disk0s2) / [Startup]: 249.2 GB (67.82 GB free)
                    Recovery HD (disk0s3) <not mounted>: 650 MB
          MATSHITADVD-R   UJ-868
USB Information:
          Apple Inc. Built-in iSight
          Apple, Inc. Apple Internal Keyboard / Trackpad
          Apple Computer, Inc. IR Receiver
          Fitbit Inc. Fitbit Base Station
          Apple Inc. BRCM2046 Hub
                    Apple Inc. Bluetooth USB Host Controller
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Configuration files:
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Gatekeeper:
          Mac App Store and identified developers
Kernel Extensions:
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          [not loaded] com.cisco.nke.ipsec (2.0.1) Support
          [not loaded] com.leapfrog.codeless.kext (2) Support
          [not loaded] com.leapfrog.driver.LfConnectDriver (1.8.1 - SDK 10.7) Support
          [not loaded] com.rim.driver.BlackBerryUSBDriverInt (0.0.39) Support
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The performance issues are due to third party software. Mavericks at the minimum requires 2GB's of RAM but I don't think that's the issue. And you can upgrade RAM anytime.
MacKeeper should be uninstalled. It does far more harm than good.
Do not install MacKeeper: Apple Support Communities
Uninstall instructions > how to uninstall MacKeeper
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Mac OS X: About background maintenance tasks

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Hi all,
I wanted to test different kind of map listener available in Coherence 3.3.1 as I would like to use it as an event bus. The result was that I found huge performance differences between them. In my use case, I have data which are time stamped so the full key of the data is the key which identifies its type and the time stamp. Unfortunately, when I had my map listener to the cache, I only know the type id but not the time stamp, thus I cannot add a listener for a key but for a filter which will test the value of the type id. When I launch my test, I got terrible performance results then I tried a listener for a key which gave me much better results but in my case I cannot use it.
Here are my results with a Dual Core of 2.13 GHz
1) Map Listener for a Filter
a) No Index
Create (data always added, the key is composed by the type id and the time stamp)
Cache.put
Test 1: Total 42094 millis, Avg 1052, Total Tries 40, Cache Size 80000
Cache.putAll
Test 2: Total 43860 millis, Avg 1096, Total Tries 40, Cache Size 80000
Update (data added then updated, the key is only composed by the type id)
Cache.put
Test 3: Total 56390 millis, Avg 1409, Total Tries 40, Cache Size 2000
Cache.putAll
Test 4: Total 51734 millis, Avg 1293, Total Tries 40, Cache Size 2000
b) With Index
Cache.put
Test 5: Total 39594 millis, Avg 989, Total Tries 40, Cache Size 80000
Cache.putAll
Test 6: Total 43313 millis, Avg 1082, Total Tries 40, Cache Size 80000
Update
Cache.put
Test 7: Total 55390 millis, Avg 1384, Total Tries 40, Cache Size 2000
Cache.putAll
Test 8: Total 51328 millis, Avg 1283, Total Tries 40, Cache Size 2000
2) Map Listener for a Key
Update
Cache.put
Test 9: Total 3937 millis, Avg 98, Total Tries 40, Cache Size 2000
Cache.putAll
Test 10: Total 1078 millis, Avg 26, Total Tries 40, Cache Size 2000
Please help me to find what is wrong with my code because for now it is unusable.
Best Regards,
Nicolas
Here is my code
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import com.tangosol.io.ExternalizableLite;
import com.tangosol.net.CacheFactory;
import com.tangosol.net.NamedCache;
import com.tangosol.util.Filter;
import com.tangosol.util.MapEvent;
import com.tangosol.util.MapListener;
import com.tangosol.util.extractor.ReflectionExtractor;
import com.tangosol.util.filter.EqualsFilter;
import com.tangosol.util.filter.MapEventFilter;
public class TestFilter {
      * To run a specific test, just launch the program with one parameter which
      * is the test index
     public static void main(String[] args) {
          if (args.length != 1) {
               System.out.println("Usage : java TestFilter 1-10|all");
               System.exit(1);
          final String arg = args[0];
          if (arg.endsWith("all")) {
               for (int i = 1; i <= 10; i++) {
                    test(i);
          } else {
               final int testIndex = Integer.parseInt(args[0]);
               if (testIndex < 1 || testIndex > 10) {
                    System.out.println("Usage : java TestFilter 1-10|all");
                    System.exit(1);
               test(testIndex);
     @SuppressWarnings("unchecked")
     private static void test(int testIndex) {
          final NamedCache cache = CacheFactory.getCache("test-cache");
          final int totalObjects = 2000;
          final int totalTries = 40;
          if (testIndex >= 5 && testIndex <= 8) {
               // Add index
               cache.addIndex(new ReflectionExtractor("getKey"), false, null);
          // Add listeners
          for (int i = 0; i < totalObjects; i++) {
               final MapListener listener = new SimpleMapListener();
               if (testIndex < 9) {
                    // Listen to data with a given filter
                    final Filter filter = new EqualsFilter("getKey", i);
                    cache.addMapListener(listener, new MapEventFilter(filter), false);
               } else {
                    // Listen to data with a given key
                    cache.addMapListener(listener, new TestObjectSimple(i), false);
          // Load data
          long time = System.currentTimeMillis();
          for (int iTry = 0; iTry < totalTries; iTry++) {
               final long currentTime = System.currentTimeMillis();
               final Map<Object, Object> buffer = new HashMap<Object, Object>(totalObjects);
               for (int i = 0; i < totalObjects; i++) {
                    final Object obj;
                    if (testIndex == 1 || testIndex == 2 || testIndex == 5 || testIndex == 6) {
                         // Create data with key with time stamp
                         obj = new TestObjectComplete(i, currentTime);
                    } else {
                         // Create data with key without time stamp
                         obj = new TestObjectSimple(i);
                    if ((testIndex & 1) == 1) {
                         // Load data directly into the cache
                         cache.put(obj, obj);
                    } else {
                         // Load data into a buffer first
                         buffer.put(obj, obj);
               if (!buffer.isEmpty()) {
                    cache.putAll(buffer);
          time = System.currentTimeMillis() - time;
          System.out.println("Test " + testIndex + ": Total " + time + " millis, Avg " + (time / totalTries) + ", Total Tries " + totalTries + ", Cache Size " + cache.size());
          cache.destroy();
     public static class SimpleMapListener implements MapListener {
          public void entryDeleted(MapEvent evt) {}
          public void entryInserted(MapEvent evt) {}
          public void entryUpdated(MapEvent evt) {}
     public static class TestObjectComplete implements ExternalizableLite {
          private static final long serialVersionUID = -400722070328560360L;
          private int key;
          private long time;
          public TestObjectComplete() {}
          public TestObjectComplete(int key, long time) {
               this.key = key;
               this.time = time;
          public int getKey() {
               return key;
          public void readExternal(DataInput in) throws IOException {
               this.key = in.readInt();
               this.time = in.readLong();
          public void writeExternal(DataOutput out) throws IOException {
               out.writeInt(key);
               out.writeLong(time);
     public static class TestObjectSimple implements ExternalizableLite {
          private static final long serialVersionUID = 6154040491849669837L;
          private int key;
          public TestObjectSimple() {}
          public TestObjectSimple(int key) {
               this.key = key;
          public int getKey() {
               return key;
          public void readExternal(DataInput in) throws IOException {
               this.key = in.readInt();
          public void writeExternal(DataOutput out) throws IOException {
               out.writeInt(key);
          public int hashCode() {
               return key;
          public boolean equals(Object o) {
               return o instanceof TestObjectSimple && key == ((TestObjectSimple) o).key;
}Here is my coherence config file
<?xml version="1.0"?>
<!DOCTYPE cache-config SYSTEM "cache-config.dtd">
<cache-config>
     <caching-scheme-mapping>
          <cache-mapping>
               <cache-name>test-cache</cache-name>
               <scheme-name>default-distributed</scheme-name>
          </cache-mapping>
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     <caching-schemes>
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               <scheme-name>default-distributed</scheme-name>
               <backing-map-scheme>
                    <class-scheme>
                         <scheme-ref>default-backing-map</scheme-ref>
                    </class-scheme>
               </backing-map-scheme>
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          <class-scheme>
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     </caching-schemes>
</cache-config>Message was edited by:
user620763

Hi Robert,
Indeed, only the Filter.evaluate(Object obj)
method is invoked, but the object passed to it is a
MapEvent.<< In fact, I do not need to implement EntryFilter to
get a MapEvent, I could get the same result (in my
last message) by writting
cache.addMapListener(listener, filter,
true)instead of
cache.addMapListener(listener, new
MapEventFilter(filter) filter, true)
I believe, when the MapEventFilter delegates to your filter it always passes a value object to your filter (old or new), meaning a value will be deserialized.
If you instead used your own filter, you could avoid deserializing the value which usually is much larger, and go to only the key object. This would of course only be noticeable if you indeed used a much heavier cached value class.
The hashCode() and equals() does not matter on
the filter class<< I'm not so sure since I noticed that these methods
were implemented in the EqualsFilter class, that they
are called at runtime and that the performance
results are better when you add them
That interests me... In what circumstances did you see them invoked? On the storage node before sending an event, or upon registering a filtered listener?
If the second, then I guess the listeners are stored in a hash-based map of collections keyed by a filter, and indeed that might be relevant as in that case it will cause less passes on the filter for multiple listeners with an equalling filter.
DataOutput.writeInt(int) writes 4 bytes.
ExternalizableHelper.writeInt(DataOutput, int) writes
1-5 bytes (or 1-6?), with numbers with small absolute
values consuming less bytes.Similar differences exist
for the long type as well, but your stamp attribute
probably will be a large number...<< I tried it but in my use case, I got the same
results. I guess that it must be interesting, if I
serialiaze/deserialiaze many more objects.
Also, if Coherence serializes an
ExternalizableLite object, it writes out its
class-name (except if it is a Coherence XmlBean). If
you define your key as an XmlBean, and add your class
into the classname cache configuration in
ExternalizableHelper.xml, then instead of the
classname, only an int will be written. This way you
can spare a large percentage of bandwidth consumed by
transferring your key instance as it has only a small
number of attributes. For the value object, it might
or might not be so relevant, considering that it will
probably contain many more attributes. However, in
case of a lite event, the value is not transferred at
all.<< I tried it too and in my use case, I noticed that
we get objects nearly twice lighter than an
ExternalizableLite object but it's slower to get
them. But it is very intersting to keep in mind, if
we would like to reduce the network traffic.
Yes, these are minor differences at the moment.
As for the performance of XMLBean, it is a hack, but you might try overriding the readExternal/writeExternal method with your own usual ExternalizableLite implementation stuff. That way you get the advantages of the xmlbean classname cache, and avoid its reflection-based operation, at the cost of having to extend XMLBean.
Also, sooner or later the TCMP protocol and the distributed cache storages will also support using PortableObject as a transmission format, which enables using your own classname resolution and allow you to omit the classname from your objects. Unfortunately, I don't know when it will be implemented.
>
But finally, I guess that I found the best solution
for my specific use case which is to use a map
listener for a key which has no time stamp, but since
the time stamp is never null, I had just to check
properly the time stamp in the equals method.
I would still recommend to use a separate key class, use a custom filter which accesses only the key and not the value, and if possible register a lite listener instead of a heavy one. Try it with a much heavier cached value class where the differences are more pronounced.
Best regards,
Robert

How to perform a clean install of Windows 8 / 8.1

This document describes, how to perform a clean install of Windows 8.
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16 GB available hard disk space (32-bit) or 20 GB (64-bit)
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Kannan B wrote:
Do not confuse the topic, as I told im not going to use External tables. This post is to speak the performance difference between SQL Loader and Simple Insert Statement.I don't think people are confusing the topic.
External tables are a superior means of reading a file as it doesn't require any command line calls or external control files to be set up. All that is needed is a single external table definition created in a similar way to creating any other table (just with the additional external table information obviously). It also eliminates the need to have a 'staging' table on the database to load the data into as the data can just be queried as needed directly from the file, and if the file changes, so does the data seen through the external table automatically without the need to re-run any SQL*Loader process again.
Who told you not to use External Tables? Do they know what they are talking about? Can they give a valid reason why external tables are not to be used?
IMO, if you're considering SQL*Loader, you should be considering External tables as a better alternative.

Is there any performance difference in the order of columns referencing index?

I wish to find out if there is any performance difference or efficiency in specifying those columns referencing index(es) first in the WHERE clause of SQL statements. That is, whether the order of columns referencing the index is important???.
E.g. id is the column that is indexed
SELECT * FROM a where a.id='1' and a.name='John';
SELECT * FROM a where a.name='John' and a.id='1';
Is there any differences in terms of efficiency of the 2 statements??
Please advise. Thanks.

There is no difference between the two statements under either the RBO or the CBO.
sql>create table a as select * from all_objects;
Table created.
sql>create index a_index on a(object_id);
Index created.
sql>analyze table a compute statistics;
Table analyzed.
sql>select count(*)
2    from a
3   where object_id = 1
4     and object_name = 'x';
COUNT(*)
        0
1 row selected.
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=1 Card=1 Bytes=29)
   1    0   SORT (AGGREGATE)
   2    1     TABLE ACCESS (BY INDEX ROWID) OF 'A' (Cost=1 Card=1 Bytes=29)
   3    2       INDEX (RANGE SCAN) OF 'A_INDEX' (NON-UNIQUE) (Cost=1 Card=1)
sql>select count(*)
2    from a
3   where object_name = 'x'
4     and object_id = 1;
COUNT(*)
        0
1 row selected.
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=1 Card=1 Bytes=29)
   1    0   SORT (AGGREGATE)
   2    1     TABLE ACCESS (BY INDEX ROWID) OF 'A' (Cost=1 Card=1 Bytes=29)
   3    2       INDEX (RANGE SCAN) OF 'A_INDEX' (NON-UNIQUE) (Cost=1 Card=1)

AppleScript Performance Difference from Finder to System Events

I've just made an interesting discovery. I have a folder that contains about 7000 other folders. When I use the code "tell application "Finder" to set folder_list to folders in folder base_folder" it takes a very long time to respond, about 40 seconds. When I use the code "tell application "System Events" to set folder_list to every folder of folder base_folder" to seems to produce the same result in only about 2 seconds. If I add the filtering criteria, like "whose name begins with search_name", the performance difference is even greater. Clearly I'll be using System Events from now on, but can anyone explain why there is such a large difference in performance? Is there anywhere I can find other performance tweaks like this?
Note, I'm using system 10.6.5, but there is no automator section in that forum.

It seems you're going in panic!
First of all run mainteinance , look for system updates if any, and take care of any block key pressed
on your keyboard.
Do not abuse of Force Quit it 'd destroy preference applications, if your itunes take 3h to import your library you can setup in Energy Saver panel some tunings to protect lcd.
I think 3h to import a music library is not normal, can you post some other info about?
What can of device you are copying from?
Did you import ,when you set up your new iMac , an user from your old mac?
Take a look also at spotlight corner, if there's a little point inside the glass icon , spotlight is indexing your drive/s , this is normal on the first system's run and this 'd slow mac performance.

Graph axes assignment: performance difference between ATTR_ACTIVE_XAXIS and ATTR_PLOT_XAXIS

Hi,
I am using a xy graph with both x axes and both y axes. There are two possibilities when adding a new plot:
1) PlotXY and SetPlotAttribute ( , , , ATTR_PLOT_XAXIS, );
2) SetCtrlAttribute ( , , ATTR_ACTIVE_XAXIS, ) and PlotXY
I tend to prefer the second method because I would assume it to be slightly faster, but what do the experts say?
Thanks!
Solved!
Go to Solution.

Hi Wolfgang,
thank you for your interesting question.
First of all I want to say, that generally spoken, using the command "SetCtrlAttribute"is the best way to handle with your elements. I would suggest using this command when ever it is possible.
Now, to your question regarding the performance difference between "SetCtrlAttribute" and "SetPlotAttribute".
I think the performance difference occures, because in the background of the "SetPlotAttribute" command, another function called "ProcessDrawEvents" is executed. This event refreshes your plot again and again in the function whereas in the "SetCtrlAttribute" the refreshing is done once after the function has been finished. This might be a possible reason.
For example you have a progress bar which shows you the progress of installing a driver:
"SetPlotAttribute" would show you the progress bar moving step by step until installing the driver is done.
"SetCtrlAttribute" would just show you an empty bar at the start and a full progress bar when the installing process is done.
I think it is like that but I can't tell you 100%, therefore I would need to ask our developers.
If you want, i can forward the question to them, this might need some times. Also, then I would need to know which version of CVI you are using.
Please let me now if you want me to forward your question.
Have a nice day,
Abduelkerim
Sales
NI Germany

Major performance bottleneck in JSF RI 1.0

We've been doing some load testing this week, and have come up with what I believe is a major performance bottleneck in the reference implementation.
Our test suite was conducted two different application servers (JBoss and Oracle) and we found that in both cases response time degraded dramatically when hitting about 25-30 concurrent users.
On analyzing a thread dump when the application server was in this state we noticed that close to twenty threads were waiting on the same locked resource.
The resource is the 'descriptors' static field in the javax.faces.component.UIComponentBase class. It is a WeakHashMap. The contention occurs in the getPropertyDescriptors method, which has a large synchronized block.

Well not the answer I was hoping for. But at least that's clear.
Jayashri, I'm using JSF RI for an application that will be delivered to testing in august. Can you give advice wether I can expect an update for this bottleneck problem within that timeframe?
Sincerely,
Joost de Vries
ps hi netbug. Saw you at theserverside! :-)

How do I perform a system restore in Windows 10?

QuestionHow do I perform a system restore in Windows 10?
AnswerNote: This article is about Windows 10. Separate articles are available on performing system restore in Windows 8 and Windows 7.
System restore rolls your system files back to a restore point from a previous date. You can make restore points manually, but Windows will also make them automatically. This will undo system settings, changes from Windows Update, and changes from newly installed software (including removing software installed since that restore point).
Your data, documents, and most programs won't be changed. This makes system restore a great place to start when you're having a problem and don't know how to fix it.
System restore reverts drivers installed since the restore point was created. Programs and apps installed since the restore point was created will also need to be reinstalled.
To view other recovery options in Windows 10, read this article:
What recovery options are available in Windows 10?
To perform a system restore, follow these steps:
Open the Start Menu and select Settings.
Select Update & security and then Recovery.
Under Advanced startup, select Restart now.
After the computer restarts to a screen with various options, select Troubleshoot.
Select Advanced options and then System Restore.
When you reach an account selection screen, select an account.
Enter your password and select Continue.
Follow the prompts, choosing your desired restore point. (You'll most likely want to use the most recent restore point from before the problem started).
You can also watch this video to learn how to perform a system restore:

If you want to create an image of the entire disk, then `dd' is an option. But you can also use ufsdump to create an image of a filesystem running on that disk, but you need to do that for every filesystem on the disk and please keep a copy of you vtoc for the future if you need to restore everything.
On the other hand you make me thing about someone who wants to clone machines and then a Flash Archive can also be an option. Please keep in mind to ask the question in the future instead of conformation of your answer ;-)

Major Performance Loss when the charger is plugged in

I have a Toshiba Satellite L50D-ASTNX, and have been noticing severe performance loss when I have my charging cable plugged in, whether it is losing frame rate in a video game, or receiving extreme stutters and cpu underruns when producing music on FL Studio 11. When I'm not plugged in my performance is great on high performance mode, but the second I plug in my charger I receive an instant and noticeable drop in performance and IT IS FRUSTRATING to say the least. This has nothing to do with my battery settings, nor does it have anything to do with my advance power settings because I have checked all of that. If anyone has a solution to this please let me know because I'm tired of getting only an hour of use on my laptop before I have to plug the charger bac in and leave it alone since it struggles to perform when charging.
OS: Windows 8.1
Ram: 8gb
CPU/GPU: AMD A8-5545M APU 1.7ghz

Hey cacobo,
I found an article that can help with troubleshooting an iPhone's receiver or speakers.
iPhone: Can't hear through the receiver or speakers
http://support.apple.com/kb/TS1630
Verify that there is nothing plugged in to the headset jack, including headsets, headphones, or adapters.
Make sure the Ring/Silent switch is not switched to silent.
While on the Home screen, adjust the volume buttons. If you see the icon below, indicating that headphones are attached, there may be debris or an object lodged in the headset jack:
Check the headset jack. If there is an object lodged in the headset jack that is not easily removed, have the iPhone serviced to remove object.
For Original iPhone: If there is light debris, such as lint, in the headset jack, try connecting a pair of headphones to the headset jack and then remove the headphones. Repeat this several times to remove the debris.
If you have installed a protective film on the display, either ensure that the receiver is not covered or remove the film completely.
Check the receiver mesh (which is on the top front of the device, above the display). If it appears blocked, use a clean, small, dry, soft-bristled brush to carefully and gently brush away any debris.
If you have paired with a Bluetooth headset that is nearby, either use the headset or turn Bluetooth off (chooseSettings > General > Bluetooth).
Restart the iPhone.
If restarting the iPhone doesn't resolve the issue, try restoring the device.
If the issue persists, go to the Service Answer Center - iPhone for information on service.
Hope that helps,
David

Major performance difference - OS X vs. Windows (CC 2014)

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