Motivation:
Even if it's a super micro-optimization (most JVM could optimize such
cases in runtime), in theory (and according to some perf tests) it
may help a bit. It also makes a code more clear and allows you to
access such methods in the test scope directly, without instance of
the class.
Modifications:
Add 'static' modifier for all methods, where it possible. Mostly in
test scope.
Result:
Cleaner code with proper 'static' modifiers.
Motivation:
Javadoc of the `ByteBufUtil#copy(AsciiString, int, ByteBuf, int, int)` is incorrect.
Modifications:
Fix it.
Result:
The description of the `#copy` method is not misleading.
Motivation:
In the `ByteBufOutputStream` we can use an appropriate methods of `ByteBuf`
to reduce calls of virtual methods and do not copying converting logic.
Modifications:
- Use an appropriate methods of `ByteBuf`
- Remove redundant conversions (int -> byte, int -> char).
- Use `ByteBuf#writeCharSequence` in the `writeBytes(String)'.
Result:
Less code duplication. A `writeBytes(String)` method is faster.
No unnecessary conversions. More consistent and cleaner code.
Configuring this is tough because there is split between highly shared (and accessed) objects and lightly accessed objects.
Modification:
There are a number of changes here. In relative order of importance:
API / Functionality changes:
* Max records and max sample records are gone. Only "target" records, the number of records tries to retain is exposed.
* Records are sampled based on the number of already stored records. The likelihood of recording a new sample is `2^(-n)`, where `n` is the number of currently stored elements.
* Records are stored in a concurrent stack structure rather than a list. This avoids a head and tail. Since the stack is only read once, there is no need to maintain head and tail pointers
* The properties of this imply that the very first and very last access are always recorded. When deciding to sample, the top element is replaced rather than pushed.
* Samples that happen between the first and last accesses now have a chance of being recorded. Previously only the final few were kept.
* Sampling is no longer deterministic. Previously, a deterministic access pattern meant that you could conceivably always miss some access points.
* Sampling has a linear ramp for low values and and exponentially backs off roughly equal to 2^n. This means that for 1,000,000 accesses, about 20 will actually be kept. I have an elegant proof for this which is too large to fit in this commit message.
Code changes:
* All locks are gone. Because sampling rarely needs to do a write, there is almost 0 contention. The dropped records counter is slightly contentious, but this could be removed or changed to a LongAdder. This was not done because of memory concerns.
* Stack trace exclusion is done outside of RLD. Classes can opt to remove some of their methods.
* Stack trace exclusion is faster, since it uses String.equals, often getting a pointer compare due to interning. Previously it used contains()
* Leak printing is outputted fairly differently. I tried to preserve as much of the original formatting as possible, but some things didn't make sense to keep.
Result:
More useful leak reporting.
Faster:
```
Before:
Benchmark (recordTimes) Mode Cnt Score Error Units
ResourceLeakDetectorRecordBenchmark.record 8 thrpt 20 136293.404 ± 7669.454 ops/s
ResourceLeakDetectorRecordBenchmark.record 16 thrpt 20 72805.720 ± 3710.864 ops/s
ResourceLeakDetectorRecordBenchmark.recordWithHint 8 thrpt 20 139131.215 ± 4882.751 ops/s
ResourceLeakDetectorRecordBenchmark.recordWithHint 16 thrpt 20 74146.313 ± 4999.246 ops/s
After:
Benchmark (recordTimes) Mode Cnt Score Error Units
ResourceLeakDetectorRecordBenchmark.record 8 thrpt 20 155281.969 ± 5301.399 ops/s
ResourceLeakDetectorRecordBenchmark.record 16 thrpt 20 77866.239 ± 3821.054 ops/s
ResourceLeakDetectorRecordBenchmark.recordWithHint 8 thrpt 20 153360.036 ± 8611.353 ops/s
ResourceLeakDetectorRecordBenchmark.recordWithHint 16 thrpt 20 78670.804 ± 2399.149 ops/s
```
Motivation:
Highly retained and released objects have contention on their ref
count. Currently, the ref count is updated using compareAndSet
with care to make sure the count doesn't overflow, double free, or
revive the object.
Profiling has shown that a non trivial (~1%) of CPU time on gRPC
latency benchmarks is from the ref count updating.
Modification:
Rather than pessimistically assuming the ref count will be invalid,
optimistically update it assuming it will be. If the update was
wrong, then use the slow path to revert the change and throw an
execption. Most of the time, the ref counts are correct.
This changes from using compareAndSet to getAndAdd, which emits a
different CPU instruction on x86 (CMPXCHG to XADD). Because the
CPU knows it will modifiy the memory, it can avoid contention.
On a highly contended machine, this can be about 2x faster.
There is a downside to the new approach. The ref counters can
temporarily enter invalid states if over retained or over released.
The code does handle these overflow and underflow scenarios, but it
is possible that another concurrent access may push the failure to
a different location. For example:
Time 1 Thread 1: obj.retain(INT_MAX - 1)
Time 2 Thread 1: obj.retain(2)
Time 2 Thread 2: obj.retain(1)
Previously Thread 2 would always succeed and Thread 1 would always
fail on the second access. Now, thread 2 could fail while thread 1
is rolling back its change.
====
There are a few reasons why I think this is okay:
1. Buggy code is going to have bugs. An exception _is_ going to be
thrown. This just causes the other threads to notice the state
is messed up and stop early.
2. If high retention counts are a use case, then ref count should
be a long rather than an int.
3. The critical section is greatly reduced compared to the previous
version, so the likelihood of this happening is lower
4. On error, the code always rollsback the change atomically, so
there is no possibility of corruption.
Result:
Faster refcounting
```
BEFORE:
Benchmark (delay) Mode Cnt Score Error Units
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 1 sample 2901361 804.579 ± 1.835 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 10 sample 3038729 785.376 ± 16.471 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 100 sample 2899401 817.392 ± 6.668 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 1000 sample 3650566 2077.700 ± 0.600 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 10000 sample 3005467 19949.334 ± 4.243 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 1 sample 456091 48.610 ± 1.162 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 10 sample 732051 62.599 ± 0.815 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 100 sample 778925 228.629 ± 1.205 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 1000 sample 633682 2002.987 ± 2.856 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 10000 sample 506442 19735.345 ± 12.312 ns/op
AFTER:
Benchmark (delay) Mode Cnt Score Error Units
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 1 sample 3761980 383.436 ± 1.315 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 10 sample 3667304 474.429 ± 1.101 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 100 sample 3039374 479.267 ± 0.435 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 1000 sample 3709210 2044.603 ± 0.989 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_contended 10000 sample 3011591 19904.227 ± 18.025 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 1 sample 494975 52.269 ± 8.345 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 10 sample 771094 62.290 ± 0.795 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 100 sample 763230 235.044 ± 1.552 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 1000 sample 634037 2006.578 ± 3.574 ns/op
AbstractReferenceCountedByteBufBenchmark.retainRelease_uncontended 10000 sample 506284 19742.605 ± 13.729 ns/op
```
Motivation:
Most, but not all defaults are statically exposed on
PooledByteBufAllocator. This makes it cumbersome to make a custom
allocator where most of the defaults remain the same.
Modification:
Expose useCacheForAllThreads, and Direct preferred. The latter is
needed because it is under the internal package, and public code
should probably not depend on it.
Result:
More customizeable allocators
Motivation:
The constrcutors a protected atm but the classes are public. We should make the constructors public as well to make it easier to write your own ByteBufAllocator.
Modifications:
Change constructors to be public and add some javadocs.
Result:
Easier to create own ByteBufAllocator.
Motivation:
`useCacheForAllThreads` may be false which disables memory caching
on non netty threads. Setting this argument or the system property
makes it impossible to use `PooledByteBufAllocator`.
Modifications:
Delayed the check of `freeSweepAllocationThreshold` in
`PoolThreadCache` to after it knows there will be any caches in
use. Additionally, check if the caches will have any data in them
(rather than allocating a 0-length array).
A test case is also added that fails without this change.
Results:
Fixes#7194
Motivation:
When the user want to have the direct memory explicitly managed by the GC (just as java.nio does) it is useful to be able to construct an UnpooledByteBufAllocator that allows this without the chances to see any memory leak.
Modifications:
Allow to explicitly disable the usage of reflection to construct direct ByteBufs and so be sure these will be collected by GC.
Result:
More flexible way to use the UnpooledByteBufAllocator.
Motivation:
The documentation for field updates says:
> Note that the guarantees of the {@code compareAndSet}
> method in this class are weaker than in other atomic classes.
> Because this class cannot ensure that all uses of the field
> are appropriate for purposes of atomic access, it can
> guarantee atomicity only with respect to other invocations of
> {@code compareAndSet} and {@code set} on the same updater.
This implies that volatiles shouldn't use normal assignment; the
updater should set them.
Modifications:
Use setter for field updaters that make use of compareAndSet.
Result:
Concurrency compliant code
Motivation:
In ReadOnlyByteBufferBuf.copy(...) we just allocated a ByteBuffer directly and wrapped it. This way it was not possible for us to free the direct memory that was used by the copy without the GC.
Modifications:
- Ensure we use the allocator when create the copy and so be able to release direct memory in a timely manner
- Add unit test
- Depending on if the to be copied buffer is direct or heap based we also allocate the same type on copy.
Result:
Fixes [#7103].
Motivation:
`ByteBuf` does not have the little endian variant of float/double access methods.
Modifications:
Add support for little endian floats and doubles into `ByteBuf`.
Result:
`ByteBuf` has get/read/set/writeFloatLE() and get/read/set/writeDoubleLE() methods. Fixes [#6576].
Motivation:
Missing return in ByteBufUtil#writeAscii causes endless loop
Modifications:
Add return after write finished
Result:
ByteBufUtil#writeAscii is ok
Motivation:
ByteBuf#ensureWritable(int,boolean) returns an int indicating the status of the resize operation. For buffers that are unmodifiable or cannot be resized this method shouldn't throw but just return 1.
ByteBuf#ensureWriteable(int) should throw unmodifiable buffers.
Modifications:
- ReadOnlyByteBuf should be updated as described above.
- Add a unit test to SslHandler which verifies the read only buffer can be tolerated in the aggregation algorithm.
Result:
Fixes https://github.com/netty/netty/issues/7002.
Motivation:
We need to ensure we not allow calling set/writeCharsequence on an released ByteBuf.
Modifications:
Add test-cases
Result:
Proves fix of [#6951].
Motivation:
AbstractByteBuf.setCharSequence(...) must not expand the buffer if not enough writable space is present in the buffer to be consistent with all the other set operations.
Modifications:
- Ensure we only exand the buffer on writeCharSequence(...) but not on setCharSequence(...)
- Add unit tests.
Result:
Consistent and correct behavior.
Motivation:
AbstractByteBuf.ensureWritable(...) should check if buffer was released and if so throw an IllegalReferenceCountException
Modifications:
Ensure we throw in all cases.
Result:
More consistent and correct behaviour
Motivation:
It would be easier to find where is missing release call in several retain release calls on a ByteBuf
Modifications:
Remove final modifier on SimpleLeakAwareByteBuf and SimpleLeakAwareByteBuf release function and override it to record release in AdvancedLeakAwareByteBuf and AdvancedLeakAwareCompositeByteBuf
Result:
Release will be recorded when enable detailed leak detection
Motivation:
Each call to SSL_write may introduce about ~100 bytes of overhead. The OpenSslEngine (based upon OpenSSL) is not able to do gathering writes so this means each wrap operation will incur the ~100 byte overhead. This commit attempts to increase goodput by aggregating the plaintext in chunks of <a href="https://tools.ietf.org/html/rfc5246#section-6.2">2^14</a>. If many small chunks are written this can increase goodput, decrease the amount of calls to SSL_write, and decrease overall encryption operations.
Modifications:
- Introduce SslHandlerCoalescingBufferQueue in SslHandler which will aggregate up to 2^14 chunks of plaintext by default
- Introduce SslHandler#setWrapDataSize to control how much data should be aggregated for each write. Aggregation can be disabled by setting this value to <= 0.
Result:
Better goodput when using SslHandler and the OpenSslEngine.
Motivation:
1. Some encoders used a `ByteBuf#writeBytes` to write short constant byte array (2-3 bytes). This can be replaced with more faster `ByteBuf#writeShort` or `ByteBuf#writeMedium` which do not access the memory.
2. Two chained calls of the `ByteBuf#setByte` with constants can be replaced with one `ByteBuf#setShort` to reduce index checks.
3. The signature of method `HttpHeadersEncoder#encoderHeader` has an unnecessary `throws`.
Modifications:
1. Use `ByteBuf#writeShort` or `ByteBuf#writeMedium` instead of `ByteBuf#writeBytes` for the constants.
2. Use `ByteBuf#setShort` instead of chained call of the `ByteBuf#setByte` with constants.
3. Remove an unnecessary `throws` from `HttpHeadersEncoder#encoderHeader`.
Result:
A bit faster writes constants into buffers.
Motivation:
We should also use realloc when shrink the buffer to eliminate extra allocations / memory copies when possible.
Modifications:
Use realloc for expanding and shrinking when possible.
Result:
Less memory copies and allocations
Motivation:
Methods `ByteBufUtil#writeUtf8` and `ByteBufUtil#writeAscii` contains a check `ByteBuf#ensureWritable` before the calling `ByteBuf#writeBytes`. But the `ByteBuf#writeBytes` also do a such check inside.
Modifications:
Make checks more targeted.
Result:
Less redundant method calls.
Motivation:
1. `ByteBuf` contains methods to writing `CharSequence` which optimized for UTF-8 and ASCII encodings. We can also apply optimization for ISO-8859-1.
2. In many places appropriate methods are not used.
Modifications:
1. Apply optimization for ISO-8859-1 encoding in the `ByteBuf#setCharSequence` realizations.
2. Apply appropriate methods for writing `CharSequences` into buffers.
Result:
Reduce overhead from string-to-bytes conversion.
Motivation:
PR #6811 introduced a public utility methods to decode hex dump and its parts, but they are not visible from netty-common.
Modifications:
1. Move the `decodeHexByte`, `decodeHexDump` and `decodeHexNibble` methods into `StringUtils`.
2. Apply these methods where applicable.
3. Remove similar methods from other locations (e.g. `HpackHex` test class).
Result:
Less code duplication.
Motivation:
We should allow to access the memoryAddress of the wrapped ByteBuf when using ReadOnlyByteBuf for peformance reasons. If a user act on a memoryAddress its his responsible anyway to do nothing "stupid".
Modifications:
Delegate to wrapped ByteBuf.
Result:
Less performance overhead for various operations and also when writing to a native transport (which needs the memoryAddress).
Motivations:
1. There are duplicated implementations of decoding hex strings. #6797
2. ByteBufUtil.HexUtil.decodeHexDump does not handle substring start
index properly and does not decode hex byte rigorously.
Modifications:
1. Function decodeHexByte is moved from QueryStringDecoder into ByteBufUtil.
2. ByteBufUtil.HexUtil.decodeHexDump is changed to use decodeHexByte.
3. Tests are Updated accordingly.
Result:
Fixed#6797 and made hex decoding functions more robust.
Motivation:
ByteBufUtil provides a hexDump method. For debugging purposes it is often useful to decode that hex dump to get the original content, but no such method exists.
Modifications:
- Add ByteBufUtil#decodeHexDump
Result:
ByteBufUtil#decodeHexDump is available to make debugging easier.
Motivation:
The javadocs for ByteBuf#ensureWritable(int, boolean) indicate that it should not throw, and instead the return code should indicate the result of the operation. Due to a bug in AbstractByteBuf it is possible for a resize to be attempted on a buffer that may exceed maxCapacity() and therefore throw.
Modifications:
- If there is not enough space in the buffer, and force is false, then a resize should not be attempted
Result:
AbstractByteBuf#ensureWritable(int, boolean) enforces the javadoc constraints and does not throw.
Motivation:
We not correctly released all buffers in the UnpooledTest and so showed "bad" way of handling buffers to people that inspect our code to understand when a buffer needs to be released.
Modifications:
Explicit release all buffers.
Result:
Cleaner and more correct code.
Motivation:
In cases when an application is running in a container or is otherwise
constrained to the number of processors that it is using, the JVM
invocation Runtime#availableProcessors will not return the constrained
value but rather the number of processors available to the virtual
machine. Netty uses this number in sizing various resources.
Additionally, some applications will constrain the number of threads
that they are using independenly of the number of processors available
on the system. Thus, applications should have a way to globally
configure the number of processors.
Modifications:
Rather than invoking Runtime#availableProcessors, Netty should rely on a
method that enables configuration when the JVM is started or by the
application. This commit exposes a new class NettyRuntime for enabling
such configuraiton. This value can only be set once. Its default value
is Runtime#availableProcessors so that there is no visible change to
existing applications, but enables configuring either a system property
or configuring during application startup (e.g., based on settings used
to configure the application).
Additionally, we introduce the usage of forbidden-apis to prevent future
uses of Runtime#availableProcessors from creeping. Future work should
enable the bundled signatures and clean up uses of deprecated and
other forbidden methods.
Result:
Netty can be configured to not use the underlying number of processors,
but rather the constrained number of processors.
Motivation:
Unsafe.invokeCleaner(...) checks if the passed in ByteBuffer is a slice or duplicate and if so throws an IllegalArgumentException on Java9. We need to ensure we never try to free a ByteBuffer that was provided by the user directly as we not know if its a slice / duplicate or not.
Modifications:
Never try to free a ByteBuffer that was passed into UnpooledUnsafeDirectByteBuf constructor by an user (via Unpooled.wrappedBuffer(....)).
Result:
Build passes again on Java9
Motivation:
Java9 added a new method to Unsafe which allows to allocate a byte[] without memset it. This can have a massive impact in allocation times when the byte[] is big. This change allows to enable this when using Java9 with the io.netty.tryAllocateUninitializedArray property when running Java9+. Please note that you will need to open up the jdk.internal.misc package via '--add-opens java.base/jdk.internal.misc=ALL-UNNAMED' as well.
Modifications:
Allow to allocate byte[] without memset on Java9+
Result:
Better performance when allocate big heap buffers and using java9.
