blob: 9f554745fa3a32fff61eb67607abed9f87cb22ff [file] [log] [blame]
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// This file is copied from
// https://github.com/apache/impala/blob/branch-2.9.0/be/src/util/cpu-info.cpp
// and modified by Doris
#include "util/cpu_info.h"
#if defined(__GNUC__) && (defined(__x86_64__) || defined(__i386__))
#elif defined(__GNUC__) && defined(__ARM_NEON__)
/* GCC-compatible compiler, targeting ARM with NEON */
#include <arm_neon.h>
#elif defined(__GNUC__) && defined(__IWMMXT__)
/* GCC-compatible compiler, targeting ARM with WMMX */
#include <mmintrin.h>
#elif (defined(__GNUC__) || defined(__xlC__)) && (defined(__VEC__) || defined(__ALTIVEC__))
/* XLC or GCC-compatible compiler, targeting PowerPC with VMX/VSX */
#include <altivec.h>
#elif defined(__GNUC__) && defined(__SPE__)
/* GCC-compatible compiler, targeting PowerPC with SPE */
#include <spe.h>
#endif
#ifndef __APPLE__
#include <sys/sysinfo.h>
#else
#include <sys/sysctl.h>
#endif
#include <gen_cpp/Metrics_types.h>
#include <sched.h>
#include <stdlib.h>
#include <unistd.h>
#include <algorithm>
#include <boost/algorithm/string/predicate.hpp>
#include <boost/algorithm/string/trim.hpp>
// IWYU pragma: no_include <bits/chrono.h>
#include <chrono> // IWYU pragma: keep
#include <filesystem>
#include <fstream>
#include "absl/strings/substitute.h"
#include "common/config.h"
#include "common/env_config.h"
#include "gflags/gflags.h"
#include "util/cgroup_util.h"
#include "util/pretty_printer.h"
using boost::algorithm::contains;
using boost::algorithm::trim;
namespace fs = std::filesystem;
using std::max;
DECLARE_bool(abort_on_config_error);
DEFINE_int32(num_cores, 0,
"(Advanced) If > 0, it sets the number of cores available to"
" Impala. Setting it to 0 means Impala will use all available cores on the machine"
" according to /proc/cpuinfo.");
namespace doris {
// Helper function to warn if a given file does not contain an expected string as its
// first line. If the file cannot be opened, no error is reported.
void WarnIfFileNotEqual(const std::string& filename, const std::string& expected,
const std::string& warning_text) {
std::ifstream file(filename);
if (!file) return;
std::string line;
getline(file, line);
if (line != expected) {
LOG(ERROR) << "Expected " << expected << ", actual " << line << std::endl << warning_text;
}
}
} // namespace doris
namespace doris {
bool CpuInfo::initialized_ = false;
int64_t CpuInfo::hardware_flags_ = 0;
int64_t CpuInfo::original_hardware_flags_;
int64_t CpuInfo::cycles_per_ms_;
int CpuInfo::num_cores_ = 1;
int CpuInfo::max_num_cores_ = 1;
std::string CpuInfo::model_name_ = "unknown";
int CpuInfo::max_num_numa_nodes_;
std::unique_ptr<int[]> CpuInfo::core_to_numa_node_;
std::vector<std::vector<int>> CpuInfo::numa_node_to_cores_;
std::vector<int> CpuInfo::numa_node_core_idx_;
static struct {
std::string name;
int64_t flag;
} flag_mappings[] = {
{"ssse3", CpuInfo::SSSE3}, {"sse4_1", CpuInfo::SSE4_1}, {"sse4_2", CpuInfo::SSE4_2},
{"popcnt", CpuInfo::POPCNT}, {"avx", CpuInfo::AVX}, {"avx2", CpuInfo::AVX2},
};
// Helper function to parse for hardware flags.
// values contains a list of space-separated flags. check to see if the flags we
// care about are present.
// Returns a bitmap of flags.
int64_t ParseCPUFlags(const std::string& values) {
int64_t flags = 0;
for (auto& flag_mapping : flag_mappings) {
if (contains(values, flag_mapping.name)) {
flags |= flag_mapping.flag;
}
}
return flags;
}
void CpuInfo::init() {
if (initialized_) return;
std::string line;
std::string name;
std::string value;
float max_mhz = 0;
int physical_num_cores = 0;
// maybe use std::thread::hardware_concurrency()?
// Read from /proc/cpuinfo
std::ifstream cpuinfo("/proc/cpuinfo");
while (cpuinfo) {
getline(cpuinfo, line);
size_t colon = line.find(':');
if (colon != std::string::npos) {
name = line.substr(0, colon - 1);
value = line.substr(colon + 1, std::string::npos);
trim(name);
trim(value);
if (name == "flags") {
hardware_flags_ |= ParseCPUFlags(value);
} else if (name == "cpu MHz") {
// Every core will report a different speed. We'll take the max, assuming
// that when impala is running, the core will not be in a lower power state.
// TODO: is there a more robust way to do this, such as
// Window's QueryPerformanceFrequency()
float mhz = atof(value.c_str());
max_mhz = max(mhz, max_mhz);
} else if (name == "processor") {
++physical_num_cores;
} else if (name == "model name") {
model_name_ = value;
}
}
}
int num_cores = CGroupUtil::get_cgroup_limited_cpu_number(physical_num_cores);
if (max_mhz != 0) {
cycles_per_ms_ = int64_t(max_mhz) * 1000;
} else {
cycles_per_ms_ = 1000000;
}
original_hardware_flags_ = hardware_flags_;
if (num_cores > 0) {
num_cores_ = num_cores;
} else {
num_cores_ = 1;
}
if (config::num_cores > 0) {
num_cores_ = config::num_cores;
}
#ifdef __APPLE__
size_t len = sizeof(max_num_cores_);
sysctlbyname("hw.logicalcpu", &max_num_cores_, &len, nullptr, 0);
#else
max_num_cores_ = get_nprocs_conf();
#endif
// Print a warning if something is wrong with sched_getcpu().
#ifdef HAVE_SCHED_GETCPU
if (sched_getcpu() == -1) {
LOG(WARNING) << "Kernel does not support sched_getcpu(). Performance may be impacted.";
}
#else
LOG(WARNING) << "Built on a system without sched_getcpu() support. Performance may"
<< " be impacted.";
#endif
_init_numa();
initialized_ = true;
}
void CpuInfo::_init_numa() {
// Use the NUMA info in the /sys filesystem. which is part of the Linux ABI:
// see https://www.kernel.org/doc/Documentation/ABI/stable/sysfs-devices-node and
// https://www.kernel.org/doc/Documentation/ABI/testing/sysfs-devices-system-cpu
// The filesystem entries are only present if the kernel was compiled with NUMA support.
core_to_numa_node_.reset(new int[max_num_cores_]);
if (!fs::is_directory("/sys/devices/system/node")) {
LOG(WARNING) << "/sys/devices/system/node is not present - no NUMA support";
// Assume a single NUMA node.
max_num_numa_nodes_ = 1;
std::fill_n(core_to_numa_node_.get(), max_num_cores_, 0);
_init_numa_node_to_cores();
return;
}
// Search for node subdirectories - node0, node1, node2, etc to determine possible
// NUMA nodes.
fs::directory_iterator dir_it("/sys/devices/system/node");
max_num_numa_nodes_ = 0;
for (; dir_it != fs::directory_iterator(); ++dir_it) {
const std::string filename = dir_it->path().filename().string();
if (filename.find("node") == 0) ++max_num_numa_nodes_;
}
if (max_num_numa_nodes_ == 0) {
LOG(WARNING) << "Could not find nodes in /sys/devices/system/node";
max_num_numa_nodes_ = 1;
}
// Check which NUMA node each core belongs to based on the existence of a symlink
// to the node subdirectory.
for (int core = 0; core < max_num_cores_; ++core) {
bool found_numa_node = false;
for (int node = 0; node < max_num_numa_nodes_; ++node) {
if (fs::exists(absl::Substitute("/sys/devices/system/cpu/cpu$0/node$1", core, node))) {
core_to_numa_node_[core] = node;
found_numa_node = true;
break;
}
}
if (!found_numa_node) {
LOG(WARNING) << "Could not determine NUMA node for core " << core
<< " from /sys/devices/system/cpu/";
core_to_numa_node_[core] = 0;
}
}
_init_numa_node_to_cores();
}
void CpuInfo::_init_fake_numa_for_test(int max_num_numa_nodes,
const std::vector<int>& core_to_numa_node) {
DCHECK_EQ(max_num_cores_, core_to_numa_node.size());
max_num_numa_nodes_ = max_num_numa_nodes;
for (int i = 0; i < max_num_cores_; ++i) {
core_to_numa_node_[i] = core_to_numa_node[i];
}
numa_node_to_cores_.clear();
_init_numa_node_to_cores();
}
void CpuInfo::_init_numa_node_to_cores() {
DCHECK(numa_node_to_cores_.empty());
numa_node_to_cores_.resize(max_num_numa_nodes_);
numa_node_core_idx_.resize(max_num_cores_);
for (int core = 0; core < max_num_cores_; ++core) {
std::vector<int>* cores_of_node = &numa_node_to_cores_[core_to_numa_node_[core]];
numa_node_core_idx_[core] = cores_of_node->size();
cores_of_node->push_back(core);
}
}
void CpuInfo::verify_cpu_requirements() {
if (!CpuInfo::is_supported(CpuInfo::SSSE3)) {
LOG(ERROR) << "CPU does not support the Supplemental SSE3 (SSSE3) instruction set. "
<< "This setup is generally unsupported and Impala might be unstable.";
}
}
void CpuInfo::verify_performance_governor() {
for (int cpu_id = 0; cpu_id < CpuInfo::num_cores(); ++cpu_id) {
const std::string governor_file =
absl::Substitute("/sys/devices/system/cpu/cpu$0/cpufreq/scaling_governor", cpu_id);
const std::string warning_text = absl::Substitute(
"WARNING: CPU $0 is not using 'performance' governor. Note that changing the "
"governor to 'performance' will reset the no_turbo setting to 0.",
cpu_id);
WarnIfFileNotEqual(governor_file, "performance", warning_text);
}
}
void CpuInfo::verify_turbo_disabled() {
WarnIfFileNotEqual(
"/sys/devices/system/cpu/intel_pstate/no_turbo", "1",
"WARNING: CPU turbo is enabled. This setting can change the clock frequency of CPU "
"cores during the benchmark run, which can lead to inaccurate results. You can "
"disable CPU turbo by writing a 1 to "
"/sys/devices/system/cpu/intel_pstate/no_turbo. Note that changing the governor to "
"'performance' will reset this to 0.");
}
void CpuInfo::enable_feature(long flag, bool enable) {
DCHECK(initialized_);
if (!enable) {
hardware_flags_ &= ~flag;
} else {
// Can't turn something on that can't be supported
DCHECK((original_hardware_flags_ & flag) != 0);
hardware_flags_ |= flag;
}
}
int CpuInfo::get_current_core() {
// sched_getcpu() is not supported on some old kernels/glibcs (like the versions that
// shipped with CentOS 5). In that case just pretend we're always running on CPU 0
// so that we can build and run with degraded perf.
#ifdef HAVE_SCHED_GETCPU
int cpu = sched_getcpu();
if (cpu < 0) return 0;
if (cpu >= max_num_cores_) {
LOG_FIRST_N(WARNING, 5) << "sched_getcpu() return value " << cpu
<< ", which is greater than get_nprocs_conf() retrun value "
<< max_num_cores_ << ", now is " << get_nprocs_conf();
cpu %= max_num_cores_;
}
return cpu;
#else
return 0;
#endif
}
void CpuInfo::_get_cache_info(long cache_sizes[NUM_CACHE_LEVELS],
long cache_line_sizes[NUM_CACHE_LEVELS]) {
#ifdef __APPLE__
// On Mac OS X use sysctl() to get the cache sizes
size_t len = 0;
sysctlbyname("hw.cachesize", nullptr, &len, nullptr, 0);
uint64_t* data = static_cast<uint64_t*>(malloc(len));
sysctlbyname("hw.cachesize", data, &len, nullptr, 0);
#ifndef __arm64__
DCHECK(len / sizeof(uint64_t) >= 3);
for (size_t i = 0; i < NUM_CACHE_LEVELS; ++i) {
cache_sizes[i] = data[i];
}
#else
for (size_t i = 0; i < NUM_CACHE_LEVELS; ++i) {
cache_sizes[i] = data[i + 1];
}
#endif
size_t linesize;
size_t sizeof_linesize = sizeof(linesize);
sysctlbyname("hw.cachelinesize", &linesize, &sizeof_linesize, nullptr, 0);
for (size_t i = 0; i < NUM_CACHE_LEVELS; ++i) cache_line_sizes[i] = linesize;
#else
// Call sysconf to query for the cache sizes
// Note: on some systems (e.g. RHEL 5 on AWS EC2), this returns 0 instead of the
// actual cache line size.
cache_sizes[L1_CACHE] = sysconf(_SC_LEVEL1_DCACHE_SIZE);
cache_sizes[L2_CACHE] = sysconf(_SC_LEVEL2_CACHE_SIZE);
cache_sizes[L3_CACHE] = sysconf(_SC_LEVEL3_CACHE_SIZE);
cache_line_sizes[L1_CACHE] = sysconf(_SC_LEVEL1_DCACHE_LINESIZE);
cache_line_sizes[L2_CACHE] = sysconf(_SC_LEVEL2_CACHE_LINESIZE);
cache_line_sizes[L3_CACHE] = sysconf(_SC_LEVEL3_CACHE_LINESIZE);
#endif
}
std::string CpuInfo::debug_string() {
DCHECK(initialized_);
std::stringstream stream;
long cache_sizes[NUM_CACHE_LEVELS];
long cache_line_sizes[NUM_CACHE_LEVELS];
_get_cache_info(cache_sizes, cache_line_sizes);
std::string L1 = absl::Substitute(
"L1 Cache: $0 (Line: $1)",
PrettyPrinter::print(static_cast<int64_t>(cache_sizes[L1_CACHE]), TUnit::BYTES),
PrettyPrinter::print(static_cast<int64_t>(cache_line_sizes[L1_CACHE]), TUnit::BYTES));
std::string L2 = absl::Substitute(
"L2 Cache: $0 (Line: $1)",
PrettyPrinter::print(static_cast<int64_t>(cache_sizes[L2_CACHE]), TUnit::BYTES),
PrettyPrinter::print(static_cast<int64_t>(cache_line_sizes[L2_CACHE]), TUnit::BYTES));
std::string L3 =
cache_sizes[L3_CACHE]
? absl::Substitute(
"L3 Cache: $0 (Line: $1)",
PrettyPrinter::print(static_cast<int64_t>(cache_sizes[L3_CACHE]),
TUnit::BYTES),
PrettyPrinter::print(static_cast<int64_t>(cache_line_sizes[L3_CACHE]),
TUnit::BYTES))
: "";
stream << "Cpu Info:" << std::endl
<< " Model: " << model_name_ << std::endl
<< " Cores: " << num_cores_ << std::endl
<< " Max Possible Cores: " << max_num_cores_ << std::endl
<< " " << L1 << std::endl
<< " " << L2 << std::endl
<< " " << L3 << std::endl
<< " Hardware Supports:" << std::endl;
for (auto& flag_mapping : flag_mappings) {
if (is_supported(flag_mapping.flag)) {
stream << " " << flag_mapping.name << std::endl;
}
}
stream << " Numa Nodes: " << max_num_numa_nodes_ << std::endl;
stream << " Numa Nodes of Cores:";
for (int core = 0; core < max_num_cores_; ++core) {
stream << " " << core << "->" << core_to_numa_node_[core] << " |";
}
stream << std::endl;
return stream.str();
}
} // namespace doris