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feat(hotkey): capture data part2 - declare coarse collector #624
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Original file line number | Diff line number | Diff line change |
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@@ -19,25 +19,97 @@ | |
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#include <dsn/dist/replication/replication_enums.h> | ||
#include <dsn/utility/smart_pointers.h> | ||
#include <dsn/utility/flags.h> | ||
#include <boost/functional/hash.hpp> | ||
#include "base/pegasus_key_schema.h" | ||
#include <dsn/dist/fmt_logging.h> | ||
#include <dsn/utility/flags.h> | ||
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namespace pegasus { | ||
namespace server { | ||
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DSN_DEFINE_int32("pegasus.server", | ||
coarse_data_variance_threshold, | ||
3, | ||
"the threshold of variance calculate to find the outliers"); | ||
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DSN_DEFINE_validator(coarse_data_variance_threshold, | ||
[](int32_t threshold) -> bool { return (threshold >= 0); }); | ||
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// TODO: (Tangyanzhao) add a limit to avoid changing when detecting | ||
DSN_DEFINE_int32("pegasus.server", | ||
data_capture_hash_bucket_num, | ||
37, | ||
"the number of data capture hash buckets"); | ||
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DSN_DEFINE_validator(data_capture_hash_bucket_num, [](int32_t bucket_num) -> bool { | ||
if (bucket_num < 3) { | ||
return false; | ||
} | ||
// data_capture_hash_bucket_num should be a prime number | ||
for (int i = 2; i <= bucket_num / i; i++) { | ||
if (bucket_num % i == 0) { | ||
return false; | ||
} | ||
} | ||
return true; | ||
}); | ||
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DSN_DEFINE_int32( | ||
"pegasus.server", | ||
max_seconds_to_detect_hotkey, | ||
150, | ||
"the max time (in seconds) allowed to capture hotkey, will stop if hotkey's not found"); | ||
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// 68–95–99.7 rule, same algorithm as hotspot_partition_calculator::stat_histories_analyse | ||
static bool | ||
find_outlier_index(const std::vector<uint64_t> &captured_keys, int threshold, int &hot_index) | ||
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{ | ||
dcheck_gt(captured_keys.size(), 2); | ||
int data_size = captured_keys.size(); | ||
// empirical rule to calculate hot point of each partition | ||
// same algorithm as hotspot_partition_calculator::stat_histories_analyse | ||
double table_captured_key_sum = 0; | ||
int hot_value = 0; | ||
for (int i = 0; i < data_size; i++) { | ||
table_captured_key_sum += captured_keys[i]; | ||
if (captured_keys[i] > hot_value) { | ||
hot_index = i; | ||
hot_value = captured_keys[i]; | ||
} | ||
} | ||
// TODO: (Tangyanzhao) increase a judgment of table_captured_key_sum | ||
double captured_keys_avg_count = | ||
(table_captured_key_sum - captured_keys[hot_index]) / (data_size - 1); | ||
double standard_deviation = 0; | ||
for (int i = 0; i < data_size; i++) { | ||
if (i != hot_index) { | ||
standard_deviation += pow((captured_keys[i] - captured_keys_avg_count), 2); | ||
} | ||
} | ||
standard_deviation = sqrt(standard_deviation / (data_size - 2)); | ||
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double hot_point = (hot_value - captured_keys_avg_count) / standard_deviation; | ||
if (hot_point >= threshold) { | ||
return true; | ||
} else { | ||
hot_index = -1; | ||
return false; | ||
} | ||
} | ||
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// TODO: (Tangyanzhao) replace it to xxhash | ||
static int get_bucket_id(dsn::string_view data) | ||
{ | ||
size_t hash_value = boost::hash_range(data.begin(), data.end()); | ||
return static_cast<int>(hash_value % FLAGS_data_capture_hash_bucket_num); | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Calculate hash value of every key may be wastly, is it possible to use https://github.com/XiaoMi/rdsn/blob/master/src/dsn.layer2.thrift#L92 directly? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. In the current design, it can't get this info There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Remember to improve it #628 |
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} | ||
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hotkey_collector::hotkey_collector(dsn::replication::hotkey_type::type hotkey_type, | ||
dsn::replication::replica_base *r_base) | ||
: replica_base(r_base), | ||
_state(hotkey_collector_state::STOPPED), | ||
_hotkey_type(hotkey_type), | ||
_internal_collector(std::make_shared<hotkey_empty_data_collector>()), | ||
_internal_collector(std::make_shared<hotkey_empty_data_collector>(this)), | ||
_collector_start_time_second(0) | ||
{ | ||
} | ||
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@@ -78,7 +150,11 @@ void hotkey_collector::analyse_data() | |
switch (_state.load()) { | ||
case hotkey_collector_state::COARSE_DETECTING: | ||
if (!terminate_if_timeout()) { | ||
_internal_collector->analyse_data(); | ||
_internal_collector->analyse_data(_result); | ||
if (_result.coarse_bucket_index != -1) { | ||
// TODO: (Tangyanzhao) reset _internal_collector to hotkey_fine_data_collector | ||
_state.store(hotkey_collector_state::FINE_DETECTING); | ||
} | ||
} | ||
return; | ||
default: | ||
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@@ -108,7 +184,7 @@ void hotkey_collector::on_start_detect(dsn::replication::detect_hotkey_response | |
return; | ||
case hotkey_collector_state::STOPPED: | ||
_collector_start_time_second = dsn_now_s(); | ||
// TODO: (Tangyanzhao) start coarse detecting | ||
_internal_collector.reset(new hotkey_coarse_data_collector(this)); | ||
_state.store(hotkey_collector_state::COARSE_DETECTING); | ||
resp.err = dsn::ERR_OK; | ||
hint = fmt::format("starting to detect {} hotkey", dsn::enum_to_string(_hotkey_type)); | ||
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@@ -149,5 +225,31 @@ bool hotkey_collector::terminate_if_timeout() | |
return false; | ||
} | ||
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hotkey_coarse_data_collector::hotkey_coarse_data_collector(replica_base *base) | ||
: internal_collector_base(base), _hash_buckets(FLAGS_data_capture_hash_bucket_num) | ||
{ | ||
for (auto &bucket : _hash_buckets) { | ||
bucket.store(0); | ||
} | ||
} | ||
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void hotkey_coarse_data_collector::capture_data(const dsn::blob &hash_key, uint64_t weight) | ||
{ | ||
_hash_buckets[get_bucket_id(hash_key)].fetch_add(weight); | ||
} | ||
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void hotkey_coarse_data_collector::analyse_data(detect_hotkey_result &result) | ||
{ | ||
std::vector<uint64_t> buckets(FLAGS_data_capture_hash_bucket_num); | ||
for (int i = 0; i < buckets.size(); i++) { | ||
buckets[i] = _hash_buckets[i].load(); | ||
_hash_buckets[i].store(0); | ||
} | ||
if (!find_outlier_index( | ||
buckets, FLAGS_coarse_data_variance_threshold, result.coarse_bucket_index)) { | ||
result.coarse_bucket_index = -1; | ||
} | ||
} | ||
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} // namespace server | ||
} // namespace pegasus |
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remove the blank line