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2 Commits
iterable_m
...
local_shar
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cb41396e86 | ||
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614e321ebb |
@@ -14,6 +14,7 @@
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#include <optional>
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#include <type_traits>
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#include <boost/smart_ptr/local_shared_ptr.hpp>
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#include <cppitertools/filter.hpp>
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#include <cppitertools/imap.hpp>
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@@ -21,6 +22,7 @@
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#include "storage/v2/id_types.hpp"
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#include "storage/v2/property_value.hpp"
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#include "storage/v2/result.hpp"
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#include "storage/v2/vertex_accessor.hpp"
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#include "utils/pmr/unordered_set.hpp"
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#include "utils/variant_helpers.hpp"
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@@ -120,19 +122,28 @@ class VertexAccessor final {
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public:
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// It can affect performance if we use std::unique_ptr here.
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std::unique_ptr<storage::VertexAccessor> impl_;
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// std::unique_ptr<storage::VertexAccessor> impl_;
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// local_shared_ptr and all its local copies must reside in the same thread
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boost::local_shared_ptr<storage::VertexAccessor> impl_;
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// explicit VertexAccessor(std::unique_ptr<storage::VertexAccessor> impl) : impl_(std::move(impl)) {}
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// increase reference count
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explicit VertexAccessor(boost::local_shared_ptr<storage::VertexAccessor> impl) : impl_(impl) {}
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// VertexAccessor(const VertexAccessor &impl) : impl_(impl.impl_->Copy()){};
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VertexAccessor(const VertexAccessor &impl) : impl_(impl.impl_){};
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explicit VertexAccessor(std::unique_ptr<storage::VertexAccessor> impl) : impl_(std::move(impl)) {}
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VertexAccessor(const VertexAccessor &impl) : impl_(impl.impl_->Copy()){};
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explicit VertexAccessor(VertexAccessor *impl) : VertexAccessor(*impl) {}
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~VertexAccessor() = default;
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VertexAccessor &operator=(const VertexAccessor &other) {
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impl_ = other.impl_->Copy();
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// impl_ = other.impl_->Copy();
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// return *this;
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impl_ = other.impl_;
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return *this;
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}
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~VertexAccessor() = default;
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bool IsVisible(storage::View view) const { return impl_->IsVisible(view); }
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auto Labels(storage::View view) const { return impl_->Labels(view); }
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@@ -301,7 +312,7 @@ class VerticesIterable final {
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}
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Iterator &operator++() {
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std::visit([this](auto it_) { this->it_ = ++it_; }, it_);
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std::visit([](auto &it_) { ++it_; }, it_);
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return *this;
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}
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@@ -29,7 +29,6 @@ QUERY_COUNT_LOWER_BOUND = 30
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def parse_args():
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parser = argparse.ArgumentParser(
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description="Memgraph benchmark executor.",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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@@ -205,7 +204,6 @@ def warmup(condition: str, client: runners.BaseRunner, queries: list = None):
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def mixed_workload(
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vendor: runners.BaseRunner, client: runners.BaseClient, dataset, group, queries, benchmark_context: BenchmarkContext
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):
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num_of_queries = benchmark_context.mode_config[0]
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percentage_distribution = benchmark_context.mode_config[1:]
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if sum(percentage_distribution) != 100:
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@@ -233,7 +231,7 @@ def mixed_workload(
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"analytical": [],
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}
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for (_, funcname) in queries[group]:
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for _, funcname in queries[group]:
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for key in queries_by_type.keys():
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if key in funcname:
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queries_by_type[key].append(funcname)
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@@ -349,7 +347,6 @@ def get_query_cache_count(
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config_key: list,
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benchmark_context: BenchmarkContext,
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):
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cached_count = config.get_value(*config_key)
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if cached_count is None:
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log.info(
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@@ -403,7 +400,6 @@ def get_query_cache_count(
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if __name__ == "__main__":
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args = parse_args()
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vendor_specific_args = helpers.parse_kwargs(args.vendor_specific)
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@@ -593,7 +589,7 @@ if __name__ == "__main__":
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ret = client.execute(
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queries=get_queries(func, count),
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num_workers=benchmark_context.num_workers_for_benchmark,
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time_dependent_execution=benchmark_context.time_depended_execution,
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time_dependent_execution=benchmark_context.time_dependent_execution,
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)[0]
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else:
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ret = client.execute(
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@@ -647,7 +643,6 @@ if __name__ == "__main__":
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vendor_runner.stop("authorization")
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for query, funcname in queries[group]:
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log.info(
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"Running query:",
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"{}/{}/{}/{}".format(group, query, funcname, WITH_FINE_GRAINED_AUTHORIZATION),
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