RFR: 8007806: Need a Throwables performance counter

David Holmes david.holmes at oracle.com
Sun Feb 24 10:31:01 UTC 2013


On 24/02/2013 6:50 PM, Peter Levart wrote:
> Hi David,
>
> I thought it was ok to pass null, but I don't know the "portability"
> issues in-depth. The javadoc for Unsafe says:
>
> /"This method refers to a variable by means of two parameters, and so it
> provides (in effect) a double-register addressing mode for Java
> variables. When the object reference is null, this method uses its
> offset as an absolute address. This is similar in operation to methods
> such as getInt(long), which provide (in effect) a single-register
> addressing mode for non-Java variables. However, because Java variables
> may have a different layout in memory from non-Java variables,
> programmers should not assume that these two addressing modes are ever
> equivalent. Also, programmers should remember that offsets from the
> double-register addressing mode cannot be portably confused with longs
> used in the single-register addressing mode."/

That is the doc for getXXX but not for getAndAddXXX or 
compareAndSwapXXX. You can't have null here:

UNSAFE_ENTRY(jboolean, Unsafe_CompareAndSwapLong(JNIEnv *env, jobject 
unsafe, jobject obj, jlong offset, jlong e, jlong x))
   UnsafeWrapper("Unsafe_CompareAndSwapLong");
   Handle p (THREAD, JNIHandles::resolve(obj));
   jlong* addr = (jlong*)(index_oop_from_field_offset_long(p(), offset));
   if (VM_Version::supports_cx8())
     return (jlong)(Atomic::cmpxchg(x, addr, e)) == e;
   else {
     jboolean success = false;
     ObjectLocker ol(p, THREAD);
     if (*addr == e) { *addr = x; success = true; }
     return success;
   }
UNSAFE_END

David
-----


> Does anybody know the in-depth interpretation of the above? Is it only
> the particular Java/native type differences (for example, endianess of
> variables) that these two addressing modes might interpret differently
> or something else too?
>
> Regards, Peter
>
>
> On 02/24/2013 12:39 AM, David Holmes wrote:
>> Peter,
>>
>> In your use of Unsafe you pass "null" as the object. I'm pretty
>> certain you can't pass null here. Unsafe operates on fields or array
>> elements.
>>
>> David
>>
>> On 24/02/2013 5:39 AM, Peter Levart wrote:
>>> Hi Nils,
>>>
>>> If the counters are updated frequently from multiple threads, there
>>> might be contention/scalability issues. Instead of synchronization on
>>> updates, you might consider using atomic updates provided by
>>> sun.misc.Unsafe, like for example:
>>>
>>>
>>> Index: jdk/src/share/classes/sun/misc/PerfCounter.java
>>> ===================================================================
>>> --- jdk/src/share/classes/sun/misc/PerfCounter.java
>>> +++ jdk/src/share/classes/sun/misc/PerfCounter.java
>>> @@ -25,6 +25,8 @@
>>>
>>>   package sun.misc;
>>>
>>> +import sun.nio.ch.DirectBuffer;
>>> +
>>>   import java.nio.ByteBuffer;
>>>   import java.nio.ByteOrder;
>>>   import java.nio.LongBuffer;
>>> @@ -50,6 +52,8 @@
>>>   public class PerfCounter {
>>>       private static final Perf perf =
>>>           AccessController.doPrivileged(new Perf.GetPerfAction());
>>> +    private static final Unsafe unsafe =
>>> +        Unsafe.getUnsafe();
>>>
>>>       // Must match values defined in
>>> hotspot/src/share/vm/runtime/perfdata.hpp
>>>       private final static int V_Constant  = 1;
>>> @@ -59,12 +63,14 @@
>>>
>>>       private final String name;
>>>       private final LongBuffer lb;
>>> +    private final DirectBuffer db;
>>>
>>>       private PerfCounter(String name, int type) {
>>>           this.name = name;
>>>           ByteBuffer bb = perf.createLong(name, U_None, type, 0L);
>>>           bb.order(ByteOrder.nativeOrder());
>>>           this.lb = bb.asLongBuffer();
>>> +        this.db = bb instanceof DirectBuffer ? (DirectBuffer) bb :
>>> null;
>>>       }
>>>
>>>       static PerfCounter newPerfCounter(String name) {
>>> @@ -79,23 +85,44 @@
>>>       /**
>>>        * Returns the current value of the perf counter.
>>>        */
>>> -    public synchronized long get() {
>>> +    public long get() {
>>> +        if (db != null) {
>>> +            return unsafe.getLongVolatile(null, db.address());
>>> +        }
>>> +        else {
>>> +            synchronized (this) {
>>> -        return lb.get(0);
>>> -    }
>>> +                return lb.get(0);
>>> +            }
>>> +        }
>>> +    }
>>>
>>>       /**
>>>        * Sets the value of the perf counter to the given newValue.
>>>        */
>>> -    public synchronized void set(long newValue) {
>>> +    public void set(long newValue) {
>>> +        if (db != null) {
>>> +            unsafe.putOrderedLong(null, db.address(), newValue);
>>> +        }
>>> +        else {
>>> +            synchronized (this) {
>>> -        lb.put(0, newValue);
>>> -    }
>>> +                lb.put(0, newValue);
>>> +            }
>>> +        }
>>> +    }
>>>
>>>       /**
>>>        * Adds the given value to the perf counter.
>>>        */
>>> -    public synchronized void add(long value) {
>>> -        long res = get() + value;
>>> +    public void add(long value) {
>>> +        if (db != null) {
>>> +            unsafe.getAndAddLong(null, db.address(), value);
>>> +        }
>>> +        else {
>>> +            synchronized (this) {
>>> +                long res = lb.get(0) + value;
>>> -        lb.put(0, res);
>>> +                lb.put(0, res);
>>> +            }
>>> +        }
>>>       }
>>>
>>>       /**
>>>
>>>
>>>
>>> Testing the PerfCounter.increment() method in a loop on multiple threads
>>> sharing the same PerfCounter instance, for example, on a 4-core Intel i7
>>> machine produces the following results:
>>>
>>> #
>>> # PerfCounter_increment: run duration:  5,000 ms, #of logical CPUS: 8
>>> #
>>>             1 threads, Tavg =     19.02 ns/op (? =   0.00 ns/op)
>>>             2 threads, Tavg =    109.93 ns/op (? =   6.17 ns/op)
>>>             3 threads, Tavg =    136.64 ns/op (? =   2.99 ns/op)
>>>             4 threads, Tavg =    293.26 ns/op (? =   5.30 ns/op)
>>>             5 threads, Tavg =    316.94 ns/op (? =   6.28 ns/op)
>>>             6 threads, Tavg =    686.96 ns/op (? =   7.09 ns/op)
>>>             7 threads, Tavg =    793.28 ns/op (? =  10.57 ns/op)
>>>             8 threads, Tavg =    898.15 ns/op (? =  14.63 ns/op)
>>>
>>>
>>> With the presented patch, the results are a little better:
>>>
>>> #
>>> # PerfCounter_increment: run duration:  5,000 ms, #of logical CPUS: 8
>>> #
>>> # Measure:
>>>             1 threads, Tavg =      5.22 ns/op (? =   0.00 ns/op)
>>>             2 threads, Tavg =     34.51 ns/op (? =   0.60 ns/op)
>>>             3 threads, Tavg =     54.85 ns/op (? =   1.42 ns/op)
>>>             4 threads, Tavg =     74.67 ns/op (? =   1.71 ns/op)
>>>             5 threads, Tavg =     94.71 ns/op (? =  41.68 ns/op)
>>>             6 threads, Tavg =    114.80 ns/op (? =  32.10 ns/op)
>>>             7 threads, Tavg =    136.70 ns/op (? =  26.80 ns/op)
>>>             8 threads, Tavg =    158.48 ns/op (? =   9.93 ns/op)
>>>
>>>
>>> The scalability is not much better, but the raw speed is, so it might
>>> present less contention when used in real-world code. If you wanted even
>>> better scalability, there is a new class in JDK8, the
>>> java.util.concurrent.LongAdder. But that doesn't buy atomic "set()" -
>>> only "add()". And it can't update native-memory variables, so it could
>>> only be used for add-only counters and in conjunction with a background
>>> thread that would periodically flush the sum to the native memory....
>>>
>>> Regards, Peter
>>>
>>>
>>> On 02/08/2013 06:10 PM, Nils Loodin wrote:
>>>> It would be interesting to know the number of thrown throwables in the
>>>> JVM, to be able to do some high level application diagnostics /
>>>> statistics. A good way to put this number would be a performance
>>>> counter, since it is accessible both from Java and from the VM.
>>>>
>>>> http://bugs.sun.com/bugdatabase/view_bug.do?bug_id=8007806
>>>> http://cr.openjdk.java.net/~nloodin/8007806/webrev.00/
>>>>
>>>> Regards,
>>>> Nils Loodin
>>>
>



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