blob: 20e1c353eff64531d576e353b269b985972461ea [file] [log] [blame]
// Copyright 2019 The Fuchsia Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "src/lib/storage/vfs/cpp/metrics/cobalt_metrics.h"
#include <memory>
#include <utility>
#include <vector>
#include "src/lib/storage/vfs/cpp/metrics/events.h"
namespace fs_metrics {
namespace {
// Default options for FsCommonMetrics that are in tens of nanoseconds precision.
const cobalt_client::HistogramOptions kFsCommonOptionsNanoOp =
cobalt_client::HistogramOptions::Exponential(FsCommonMetrics::kHistogramBuckets,
10 * (1024 - 1));
// Default options for FsCommonMetrics that are in microseconds precision.
const cobalt_client::HistogramOptions kFsCommonOptionsMicroOp =
cobalt_client::HistogramOptions::Exponential(FsCommonMetrics::kHistogramBuckets,
10000 * (1024 - 1));
cobalt_client::HistogramOptions MakeHistogramOptions(const cobalt_client::HistogramOptions& base,
Event metric_id) {
cobalt_client::HistogramOptions options = base;
options.metric_id = static_cast<uint32_t>(metric_id);
return options;
}
} // namespace
FsCommonMetrics::FsCommonMetrics(cobalt_client::Collector* collector, Source source) {
// Initialize all the metrics for the collector.
cobalt_client::HistogramOptions nano_base = kFsCommonOptionsNanoOp;
cobalt_client::HistogramOptions micro_base = kFsCommonOptionsMicroOp;
uint32_t source_event_code = static_cast<uint32_t>(source);
nano_base.metric_dimensions = 1;
nano_base.event_codes[0] = source_event_code;
micro_base.metric_dimensions = 1;
micro_base.event_codes[0] = source_event_code;
vnode.close.Initialize(MakeHistogramOptions(nano_base, Event::kClose), collector);
vnode.read.Initialize(MakeHistogramOptions(micro_base, Event::kRead), collector);
vnode.write.Initialize(MakeHistogramOptions(micro_base, Event::kWrite), collector);
vnode.append.Initialize(MakeHistogramOptions(micro_base, Event::kAppend), collector);
vnode.truncate.Initialize(MakeHistogramOptions(micro_base, Event::kTruncate), collector);
vnode.set_attr.Initialize(MakeHistogramOptions(micro_base, Event::kSetAttr), collector);
vnode.get_attr.Initialize(MakeHistogramOptions(nano_base, Event::kGetAttr), collector);
vnode.sync.Initialize(MakeHistogramOptions(micro_base, Event::kSync), collector);
vnode.read_dir.Initialize(MakeHistogramOptions(micro_base, Event::kReadDir), collector);
vnode.look_up.Initialize(MakeHistogramOptions(micro_base, Event::kLookUp), collector);
vnode.create.Initialize(MakeHistogramOptions(micro_base, Event::kCreate), collector);
vnode.unlink.Initialize(MakeHistogramOptions(micro_base, Event::kUnlink), collector);
vnode.link.Initialize(MakeHistogramOptions(micro_base, Event::kLink), collector);
journal.write_data.Initialize(MakeHistogramOptions(micro_base, Event::kJournalWriteData),
collector);
journal.write_metadata.Initialize(MakeHistogramOptions(micro_base, Event::kJournalWriteMetadata),
collector);
journal.trim_data.Initialize(MakeHistogramOptions(micro_base, Event::kJournalTrimData),
collector);
journal.sync.Initialize(MakeHistogramOptions(micro_base, Event::kJournalSync), collector);
journal.schedule_task.Initialize(MakeHistogramOptions(micro_base, Event::kJournalScheduleTask),
collector);
journal.writer_write_data.Initialize(
MakeHistogramOptions(micro_base, Event::kJournalWriterWriteData), collector);
journal.writer_write_metadata.Initialize(
MakeHistogramOptions(micro_base, Event::kJournalWriterWriteMetadata), collector);
journal.writer_trim_data.Initialize(
MakeHistogramOptions(micro_base, Event::kJournalWriterTrimData), collector);
journal.writer_sync.Initialize(MakeHistogramOptions(micro_base, Event::kJournalWriterSync),
collector);
journal.writer_write_info_block.Initialize(
MakeHistogramOptions(micro_base, Event::kJournalWriterWriteInfoBlock), collector);
fragmentation_metrics.extents_per_file.Initialize(
MakeHistogramOptions(nano_base, Event::kFragmentationExtentsPerFile), collector);
fragmentation_metrics.in_use_fragments.Initialize(
MakeHistogramOptions(nano_base, Event::kFragmentationInUseFragments), collector);
fragmentation_metrics.free_fragments.Initialize(
MakeHistogramOptions(nano_base, Event::kFragmentationFreeFragments), collector);
cobalt_client::MetricOptions options = {
.metric_id = static_cast<uint32_t>(Event::kFragmentationTotalNodes),
.metric_dimensions = 1,
.event_codes = {source_event_code},
};
fragmentation_metrics.total_nodes.Initialize(options, collector);
options.metric_id = static_cast<uint32_t>(Event::kFragmentationInodesInUse);
fragmentation_metrics.inodes_in_use.Initialize(options, collector);
options.metric_id = static_cast<uint32_t>(Event::kFragmentationExtentContainersInUse);
fragmentation_metrics.extent_containers_in_use.Initialize(options, collector);
}
CompressionFormatMetrics::CompressionFormatMetrics(
cobalt_client::Collector* collector, fs_metrics::CompressionSource compression_source) {
source = compression_source;
if (compression_source == fs_metrics::CompressionSource::kUnknown) {
return;
}
std::vector<fs_metrics::CompressionFormat> formats = {
fs_metrics::CompressionFormat::kUnknown,
fs_metrics::CompressionFormat::kUncompressed,
fs_metrics::CompressionFormat::kCompressedLZ4,
fs_metrics::CompressionFormat::kCompressedZSTD,
fs_metrics::CompressionFormat::kCompressedZSTDSeekable,
fs_metrics::CompressionFormat::kCompressedZSTDChunked,
};
for (auto format : formats) {
counters.emplace(format, std::make_unique<cobalt_client::Counter>(
MakeCompressionMetricOptions(source, format), collector));
}
}
cobalt_client::MetricOptions CompressionFormatMetrics::MakeCompressionMetricOptions(
fs_metrics::CompressionSource source, fs_metrics::CompressionFormat format) {
cobalt_client::MetricOptions options = {};
options.metric_id =
static_cast<std::underlying_type<fs_metrics::Event>::type>(fs_metrics::Event::kCompression);
options.event_codes = {0};
options.metric_dimensions = 2;
options.event_codes[0] = static_cast<uint32_t>(source);
options.event_codes[1] = static_cast<uint32_t>(format);
return options;
}
void CompressionFormatMetrics::IncrementCounter(fs_metrics::CompressionFormat format,
uint64_t size) {
if (counters.find(format) == counters.end()) {
return;
}
counters[format]->Increment(size);
}
Metrics::Metrics(std::unique_ptr<cobalt_client::Collector> collector, Source source,
CompressionSource compression_source)
: source_(source),
collector_(std::move(collector)),
fs_common_metrics_(collector_.get(), source),
compression_format_metrics_(collector_.get(), compression_source) {}
const FsCommonMetrics& Metrics::fs_common_metrics() const { return fs_common_metrics_; }
FsCommonMetrics* Metrics::mutable_fs_common_metrics() { return &fs_common_metrics_; }
const CompressionFormatMetrics& Metrics::compression_format_metrics() const {
return compression_format_metrics_;
}
CompressionFormatMetrics* Metrics::mutable_compression_format_metrics() {
return &compression_format_metrics_;
}
void Metrics::EnableMetrics(bool should_enable) {
is_enabled_ = should_enable;
fs_common_metrics_.metrics_enabled = should_enable;
}
bool Metrics::IsEnabled() const { return is_enabled_; }
void Metrics::RecordOldestVersionMounted(std::string_view version) {
std::scoped_lock lock(mutex_);
// We hack the version into the component field (which is the only dimension that supports a
// string value), whilst we store the real storage sub-component in a dimension. There is
// precedent for this kind of hack; SWD do something similar.
cobalt_client::MetricOptions options{
.component = std::string(version),
.metric_id = static_cast<uint32_t>(Event::kVersion),
.metric_dimensions = 1,
.event_codes = {static_cast<uint32_t>(source_)},
};
auto iter = temporary_counters_.find(options);
if (iter == temporary_counters_.end()) {
iter =
temporary_counters_
.insert(std::make_unique<cobalt_client::Counter>(std::move(options), collector_.get()))
.first;
}
(*iter)->Increment();
}
bool Metrics::Flush() {
std::scoped_lock lock(mutex_);
if (collector_->Flush()) {
// The counters are low frequency, so after flushing, it's likely that they won't get used
// again, so we can jettison them.
temporary_counters_.clear();
return true;
}
return false;
}
} // namespace fs_metrics