rocksdb/util/mutexlock.h

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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root directory).
//
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.
#pragma once
support for concurrent adds to memtable Summary: This diff adds support for concurrent adds to the skiplist memtable implementations. Memory allocation is made thread-safe by the addition of a spinlock, with small per-core buffers to avoid contention. Concurrent memtable writes are made via an additional method and don't impose a performance overhead on the non-concurrent case, so parallelism can be selected on a per-batch basis. Write thread synchronization is an increasing bottleneck for higher levels of concurrency, so this diff adds --enable_write_thread_adaptive_yield (default off). This feature causes threads joining a write batch group to spin for a short time (default 100 usec) using sched_yield, rather than going to sleep on a mutex. If the timing of the yield calls indicates that another thread has actually run during the yield then spinning is avoided. This option improves performance for concurrent situations even without parallel adds, although it has the potential to increase CPU usage (and the heuristic adaptation is not yet mature). Parallel writes are not currently compatible with inplace updates, update callbacks, or delete filtering. Enable it with --allow_concurrent_memtable_write (and --enable_write_thread_adaptive_yield). Parallel memtable writes are performance neutral when there is no actual parallelism, and in my experiments (SSD server-class Linux and varying contention and key sizes for fillrandom) they are always a performance win when there is more than one thread. Statistics are updated earlier in the write path, dropping the number of DB mutex acquisitions from 2 to 1 for almost all cases. This diff was motivated and inspired by Yahoo's cLSM work. It is more conservative than cLSM: RocksDB's write batch group leader role is preserved (along with all of the existing flush and write throttling logic) and concurrent writers are blocked until all memtable insertions have completed and the sequence number has been advanced, to preserve linearizability. My test config is "db_bench -benchmarks=fillrandom -threads=$T -batch_size=1 -memtablerep=skip_list -value_size=100 --num=1000000/$T -level0_slowdown_writes_trigger=9999 -level0_stop_writes_trigger=9999 -disable_auto_compactions --max_write_buffer_number=8 -max_background_flushes=8 --disable_wal --write_buffer_size=160000000 --block_size=16384 --allow_concurrent_memtable_write" on a two-socket Xeon E5-2660 @ 2.2Ghz with lots of memory and an SSD hard drive. With 1 thread I get ~440Kops/sec. Peak performance for 1 socket (numactl -N1) is slightly more than 1Mops/sec, at 16 threads. Peak performance across both sockets happens at 30 threads, and is ~900Kops/sec, although with fewer threads there is less performance loss when the system has background work. Test Plan: 1. concurrent stress tests for InlineSkipList and DynamicBloom 2. make clean; make check 3. make clean; DISABLE_JEMALLOC=1 make valgrind_check; valgrind db_bench 4. make clean; COMPILE_WITH_TSAN=1 make all check; db_bench 5. make clean; COMPILE_WITH_ASAN=1 make all check; db_bench 6. make clean; OPT=-DROCKSDB_LITE make check 7. verify no perf regressions when disabled Reviewers: igor, sdong Reviewed By: sdong Subscribers: MarkCallaghan, IslamAbdelRahman, anthony, yhchiang, rven, sdong, guyg8, kradhakrishnan, dhruba Differential Revision: https://reviews.facebook.net/D50589
2015-08-14 23:59:07 +00:00
#include <assert.h>
support for concurrent adds to memtable Summary: This diff adds support for concurrent adds to the skiplist memtable implementations. Memory allocation is made thread-safe by the addition of a spinlock, with small per-core buffers to avoid contention. Concurrent memtable writes are made via an additional method and don't impose a performance overhead on the non-concurrent case, so parallelism can be selected on a per-batch basis. Write thread synchronization is an increasing bottleneck for higher levels of concurrency, so this diff adds --enable_write_thread_adaptive_yield (default off). This feature causes threads joining a write batch group to spin for a short time (default 100 usec) using sched_yield, rather than going to sleep on a mutex. If the timing of the yield calls indicates that another thread has actually run during the yield then spinning is avoided. This option improves performance for concurrent situations even without parallel adds, although it has the potential to increase CPU usage (and the heuristic adaptation is not yet mature). Parallel writes are not currently compatible with inplace updates, update callbacks, or delete filtering. Enable it with --allow_concurrent_memtable_write (and --enable_write_thread_adaptive_yield). Parallel memtable writes are performance neutral when there is no actual parallelism, and in my experiments (SSD server-class Linux and varying contention and key sizes for fillrandom) they are always a performance win when there is more than one thread. Statistics are updated earlier in the write path, dropping the number of DB mutex acquisitions from 2 to 1 for almost all cases. This diff was motivated and inspired by Yahoo's cLSM work. It is more conservative than cLSM: RocksDB's write batch group leader role is preserved (along with all of the existing flush and write throttling logic) and concurrent writers are blocked until all memtable insertions have completed and the sequence number has been advanced, to preserve linearizability. My test config is "db_bench -benchmarks=fillrandom -threads=$T -batch_size=1 -memtablerep=skip_list -value_size=100 --num=1000000/$T -level0_slowdown_writes_trigger=9999 -level0_stop_writes_trigger=9999 -disable_auto_compactions --max_write_buffer_number=8 -max_background_flushes=8 --disable_wal --write_buffer_size=160000000 --block_size=16384 --allow_concurrent_memtable_write" on a two-socket Xeon E5-2660 @ 2.2Ghz with lots of memory and an SSD hard drive. With 1 thread I get ~440Kops/sec. Peak performance for 1 socket (numactl -N1) is slightly more than 1Mops/sec, at 16 threads. Peak performance across both sockets happens at 30 threads, and is ~900Kops/sec, although with fewer threads there is less performance loss when the system has background work. Test Plan: 1. concurrent stress tests for InlineSkipList and DynamicBloom 2. make clean; make check 3. make clean; DISABLE_JEMALLOC=1 make valgrind_check; valgrind db_bench 4. make clean; COMPILE_WITH_TSAN=1 make all check; db_bench 5. make clean; COMPILE_WITH_ASAN=1 make all check; db_bench 6. make clean; OPT=-DROCKSDB_LITE make check 7. verify no perf regressions when disabled Reviewers: igor, sdong Reviewed By: sdong Subscribers: MarkCallaghan, IslamAbdelRahman, anthony, yhchiang, rven, sdong, guyg8, kradhakrishnan, dhruba Differential Revision: https://reviews.facebook.net/D50589
2015-08-14 23:59:07 +00:00
#include <atomic>
#include <functional>
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
#include <memory>
support for concurrent adds to memtable Summary: This diff adds support for concurrent adds to the skiplist memtable implementations. Memory allocation is made thread-safe by the addition of a spinlock, with small per-core buffers to avoid contention. Concurrent memtable writes are made via an additional method and don't impose a performance overhead on the non-concurrent case, so parallelism can be selected on a per-batch basis. Write thread synchronization is an increasing bottleneck for higher levels of concurrency, so this diff adds --enable_write_thread_adaptive_yield (default off). This feature causes threads joining a write batch group to spin for a short time (default 100 usec) using sched_yield, rather than going to sleep on a mutex. If the timing of the yield calls indicates that another thread has actually run during the yield then spinning is avoided. This option improves performance for concurrent situations even without parallel adds, although it has the potential to increase CPU usage (and the heuristic adaptation is not yet mature). Parallel writes are not currently compatible with inplace updates, update callbacks, or delete filtering. Enable it with --allow_concurrent_memtable_write (and --enable_write_thread_adaptive_yield). Parallel memtable writes are performance neutral when there is no actual parallelism, and in my experiments (SSD server-class Linux and varying contention and key sizes for fillrandom) they are always a performance win when there is more than one thread. Statistics are updated earlier in the write path, dropping the number of DB mutex acquisitions from 2 to 1 for almost all cases. This diff was motivated and inspired by Yahoo's cLSM work. It is more conservative than cLSM: RocksDB's write batch group leader role is preserved (along with all of the existing flush and write throttling logic) and concurrent writers are blocked until all memtable insertions have completed and the sequence number has been advanced, to preserve linearizability. My test config is "db_bench -benchmarks=fillrandom -threads=$T -batch_size=1 -memtablerep=skip_list -value_size=100 --num=1000000/$T -level0_slowdown_writes_trigger=9999 -level0_stop_writes_trigger=9999 -disable_auto_compactions --max_write_buffer_number=8 -max_background_flushes=8 --disable_wal --write_buffer_size=160000000 --block_size=16384 --allow_concurrent_memtable_write" on a two-socket Xeon E5-2660 @ 2.2Ghz with lots of memory and an SSD hard drive. With 1 thread I get ~440Kops/sec. Peak performance for 1 socket (numactl -N1) is slightly more than 1Mops/sec, at 16 threads. Peak performance across both sockets happens at 30 threads, and is ~900Kops/sec, although with fewer threads there is less performance loss when the system has background work. Test Plan: 1. concurrent stress tests for InlineSkipList and DynamicBloom 2. make clean; make check 3. make clean; DISABLE_JEMALLOC=1 make valgrind_check; valgrind db_bench 4. make clean; COMPILE_WITH_TSAN=1 make all check; db_bench 5. make clean; COMPILE_WITH_ASAN=1 make all check; db_bench 6. make clean; OPT=-DROCKSDB_LITE make check 7. verify no perf regressions when disabled Reviewers: igor, sdong Reviewed By: sdong Subscribers: MarkCallaghan, IslamAbdelRahman, anthony, yhchiang, rven, sdong, guyg8, kradhakrishnan, dhruba Differential Revision: https://reviews.facebook.net/D50589
2015-08-14 23:59:07 +00:00
#include <mutex>
#include <thread>
#include "port/port.h"
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
#include "util/fastrange.h"
#include "util/hash.h"
namespace ROCKSDB_NAMESPACE {
// Helper class that locks a mutex on construction and unlocks the mutex when
// the destructor of the MutexLock object is invoked.
//
// Typical usage:
//
// void MyClass::MyMethod() {
// MutexLock l(&mu_); // mu_ is an instance variable
// ... some complex code, possibly with multiple return paths ...
// }
class MutexLock {
public:
explicit MutexLock(port::Mutex *mu) : mu_(mu) { this->mu_->Lock(); }
// No copying allowed
MutexLock(const MutexLock &) = delete;
void operator=(const MutexLock &) = delete;
~MutexLock() { this->mu_->Unlock(); }
private:
port::Mutex *const mu_;
};
//
// Acquire a ReadLock on the specified RWMutex.
// The Lock will be automatically released when the
// object goes out of scope.
//
class ReadLock {
public:
explicit ReadLock(port::RWMutex *mu) : mu_(mu) { this->mu_->ReadLock(); }
// No copying allowed
ReadLock(const ReadLock &) = delete;
void operator=(const ReadLock &) = delete;
~ReadLock() { this->mu_->ReadUnlock(); }
private:
port::RWMutex *const mu_;
};
//
// Automatically unlock a locked mutex when the object is destroyed
//
class ReadUnlock {
public:
explicit ReadUnlock(port::RWMutex *mu) : mu_(mu) { mu->AssertHeld(); }
// No copying allowed
ReadUnlock(const ReadUnlock &) = delete;
ReadUnlock &operator=(const ReadUnlock &) = delete;
~ReadUnlock() { mu_->ReadUnlock(); }
private:
port::RWMutex *const mu_;
};
//
// Acquire a WriteLock on the specified RWMutex.
// The Lock will be automatically released then the
// object goes out of scope.
//
class WriteLock {
public:
explicit WriteLock(port::RWMutex *mu) : mu_(mu) { this->mu_->WriteLock(); }
// No copying allowed
WriteLock(const WriteLock &) = delete;
void operator=(const WriteLock &) = delete;
~WriteLock() { this->mu_->WriteUnlock(); }
private:
port::RWMutex *const mu_;
};
support for concurrent adds to memtable Summary: This diff adds support for concurrent adds to the skiplist memtable implementations. Memory allocation is made thread-safe by the addition of a spinlock, with small per-core buffers to avoid contention. Concurrent memtable writes are made via an additional method and don't impose a performance overhead on the non-concurrent case, so parallelism can be selected on a per-batch basis. Write thread synchronization is an increasing bottleneck for higher levels of concurrency, so this diff adds --enable_write_thread_adaptive_yield (default off). This feature causes threads joining a write batch group to spin for a short time (default 100 usec) using sched_yield, rather than going to sleep on a mutex. If the timing of the yield calls indicates that another thread has actually run during the yield then spinning is avoided. This option improves performance for concurrent situations even without parallel adds, although it has the potential to increase CPU usage (and the heuristic adaptation is not yet mature). Parallel writes are not currently compatible with inplace updates, update callbacks, or delete filtering. Enable it with --allow_concurrent_memtable_write (and --enable_write_thread_adaptive_yield). Parallel memtable writes are performance neutral when there is no actual parallelism, and in my experiments (SSD server-class Linux and varying contention and key sizes for fillrandom) they are always a performance win when there is more than one thread. Statistics are updated earlier in the write path, dropping the number of DB mutex acquisitions from 2 to 1 for almost all cases. This diff was motivated and inspired by Yahoo's cLSM work. It is more conservative than cLSM: RocksDB's write batch group leader role is preserved (along with all of the existing flush and write throttling logic) and concurrent writers are blocked until all memtable insertions have completed and the sequence number has been advanced, to preserve linearizability. My test config is "db_bench -benchmarks=fillrandom -threads=$T -batch_size=1 -memtablerep=skip_list -value_size=100 --num=1000000/$T -level0_slowdown_writes_trigger=9999 -level0_stop_writes_trigger=9999 -disable_auto_compactions --max_write_buffer_number=8 -max_background_flushes=8 --disable_wal --write_buffer_size=160000000 --block_size=16384 --allow_concurrent_memtable_write" on a two-socket Xeon E5-2660 @ 2.2Ghz with lots of memory and an SSD hard drive. With 1 thread I get ~440Kops/sec. Peak performance for 1 socket (numactl -N1) is slightly more than 1Mops/sec, at 16 threads. Peak performance across both sockets happens at 30 threads, and is ~900Kops/sec, although with fewer threads there is less performance loss when the system has background work. Test Plan: 1. concurrent stress tests for InlineSkipList and DynamicBloom 2. make clean; make check 3. make clean; DISABLE_JEMALLOC=1 make valgrind_check; valgrind db_bench 4. make clean; COMPILE_WITH_TSAN=1 make all check; db_bench 5. make clean; COMPILE_WITH_ASAN=1 make all check; db_bench 6. make clean; OPT=-DROCKSDB_LITE make check 7. verify no perf regressions when disabled Reviewers: igor, sdong Reviewed By: sdong Subscribers: MarkCallaghan, IslamAbdelRahman, anthony, yhchiang, rven, sdong, guyg8, kradhakrishnan, dhruba Differential Revision: https://reviews.facebook.net/D50589
2015-08-14 23:59:07 +00:00
//
// SpinMutex has very low overhead for low-contention cases. Method names
// are chosen so you can use std::unique_lock or std::lock_guard with it.
//
class SpinMutex {
public:
SpinMutex() : locked_(false) {}
bool try_lock() {
auto currently_locked = locked_.load(std::memory_order_relaxed);
return !currently_locked &&
locked_.compare_exchange_weak(currently_locked, true,
std::memory_order_acquire,
std::memory_order_relaxed);
}
void lock() {
for (size_t tries = 0;; ++tries) {
if (try_lock()) {
// success
break;
}
port::AsmVolatilePause();
if (tries > 100) {
std::this_thread::yield();
}
}
}
void unlock() { locked_.store(false, std::memory_order_release); }
private:
std::atomic<bool> locked_;
};
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
// For preventing false sharing, especially for mutexes.
// NOTE: if a mutex is less than half the size of a cache line, it would
// make more sense for Striped structure below to pack more than one mutex
// into each cache line, as this would only reduce contention for the same
// amount of space and cache sharing. However, a mutex is often 40 bytes out
// of a 64 byte cache line.
template <class T>
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
struct ALIGN_AS(CACHE_LINE_SIZE) CacheAlignedWrapper {
T obj_;
};
template <class T>
struct Unwrap {
using type = T;
static type &Go(T &t) { return t; }
};
template <class T>
struct Unwrap<CacheAlignedWrapper<T>> {
using type = T;
static type &Go(CacheAlignedWrapper<T> &t) { return t.obj_; }
};
//
// Inspired by Guava: https://github.com/google/guava/wiki/StripedExplained
// A striped Lock. This offers the underlying lock striping similar
// to that of ConcurrentHashMap in a reusable form, and extends it for
// semaphores and read-write locks. Conceptually, lock striping is the technique
// of dividing a lock into many <i>stripes</i>, increasing the granularity of a
// single lock and allowing independent operations to lock different stripes and
// proceed concurrently, instead of creating contention for a single lock.
//
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
template <class T, class Key = Slice, class Hash = SliceNPHasher64>
class Striped {
public:
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
explicit Striped(size_t stripe_count)
: stripe_count_(stripe_count), data_(new T[stripe_count]) {}
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
using Unwrapped = typename Unwrap<T>::type;
Unwrapped &Get(const Key &key, uint64_t seed = 0) {
size_t index = FastRangeGeneric(hash_(key, seed), stripe_count_);
return Unwrap<T>::Go(data_[index]);
}
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
size_t ApproximateMemoryUsage() const {
// NOTE: could use malloc_usable_size() here, but that could count unmapped
// pages and could mess up unit test OccLockBucketsTest::CacheAligned
return sizeof(*this) + stripe_count_ * sizeof(T);
}
private:
Improve memory efficiency of many OptimisticTransactionDBs (#11439) Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
2023-05-24 18:57:15 +00:00
size_t stripe_count_;
std::unique_ptr<T[]> data_;
Hash hash_;
};
} // namespace ROCKSDB_NAMESPACE