eee8b57daf
Summary: `Query` is now an abstract class which has `CypherQuery`, `ExplainQuery`, `IndexQuery`, `AuthQuery` and `StreamQuery` as derived classes. Only `CypherQuery` is forwarded to planner and the rest of the queries are handled directly in the interpreter. This enabled us to remove auth, explain and stream operators, clean up `Context` class and remove coupling between `Results` class and plan cache. This should make it easier to add similar functionality because no logical operator boilerplate is needed. It should also be easier to separate community and enterprise features for open source. Remove Explain logical operator Separate IndexQuery in AST Handle index creation in interpreter Remove CreateIndex operator and ast nodes Remove plan cache reference from Results Move auth queries out of operator tree Remove auth from context Fix tests, separate stream queries Remove in_explicit_transaction and streams from context Reviewers: teon.banek, mferencevic, msantl Reviewed By: teon.banek, mferencevic Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D1664
191 lines
7.3 KiB
C++
191 lines
7.3 KiB
C++
#include <string>
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#include <benchmark/benchmark_api.h>
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#include "database/single_node/graph_db.hpp"
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#include "database/single_node/graph_db_accessor.hpp"
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#include "query/frontend/semantic/symbol_generator.hpp"
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#include "query/plan/cost_estimator.hpp"
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#include "query/plan/planner.hpp"
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#include "query/plan/vertex_count_cache.hpp"
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// Add chained MATCH (node1) -- (node2), MATCH (node2) -- (node3) ... clauses.
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static query::CypherQuery *AddChainedMatches(int num_matches,
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query::AstStorage &storage) {
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auto *query = storage.Create<query::CypherQuery>();
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for (int i = 0; i < num_matches; ++i) {
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auto *match = storage.Create<query::Match>();
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auto *pattern = storage.Create<query::Pattern>();
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auto *single_query = storage.Create<query::SingleQuery>();
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pattern->identifier_ = storage.Create<query::Identifier>("path");
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match->patterns_.emplace_back(pattern);
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std::string node1_name = "node" + std::to_string(i - 1);
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pattern->atoms_.emplace_back(storage.Create<query::NodeAtom>(
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storage.Create<query::Identifier>(node1_name)));
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pattern->atoms_.emplace_back(storage.Create<query::EdgeAtom>(
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storage.Create<query::Identifier>("edge" + std::to_string(i)),
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query::EdgeAtom::Type::SINGLE, query::EdgeAtom::Direction::BOTH));
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pattern->atoms_.emplace_back(storage.Create<query::NodeAtom>(
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storage.Create<query::Identifier>("node" + std::to_string(i))));
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single_query->clauses_.emplace_back(match);
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query->single_query_ = single_query;
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}
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return query;
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}
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static void BM_PlanChainedMatches(benchmark::State &state) {
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database::GraphDb db;
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auto dba = db.Access();
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while (state.KeepRunning()) {
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state.PauseTiming();
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query::AstStorage storage;
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int num_matches = state.range(0);
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auto *query = AddChainedMatches(num_matches, storage);
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query::SymbolTable symbol_table;
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query::SymbolGenerator symbol_generator(symbol_table);
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query->Accept(symbol_generator);
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auto ctx =
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query::plan::MakePlanningContext(storage, symbol_table, query, *dba);
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state.ResumeTiming();
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auto query_parts =
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query::plan::CollectQueryParts(symbol_table, storage, query);
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if (query_parts.query_parts.size() == 0) {
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std::exit(EXIT_FAILURE);
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}
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auto single_query_parts = query_parts.query_parts.at(0).single_query_parts;
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auto plans = query::plan::MakeLogicalPlanForSingleQuery<
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query::plan::VariableStartPlanner>(single_query_parts, ctx);
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for (const auto &plan : plans) {
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// Exhaust through all generated plans, since they are lazily generated.
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benchmark::DoNotOptimize(plan.get());
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}
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}
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}
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BENCHMARK(BM_PlanChainedMatches)
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->RangeMultiplier(2)
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->Range(50, 400)
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->Unit(benchmark::kMillisecond);
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static query::CypherQuery *AddIndexedMatches(
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int num_matches, storage::Label label,
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const std::pair<std::string, storage::Property> &property,
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query::AstStorage &storage) {
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auto *query = storage.Create<query::CypherQuery>();
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for (int i = 0; i < num_matches; ++i) {
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auto *match = storage.Create<query::Match>();
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auto *pattern = storage.Create<query::Pattern>();
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auto *single_query = storage.Create<query::SingleQuery>();
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pattern->identifier_ = storage.Create<query::Identifier>("path");
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match->patterns_.emplace_back(pattern);
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std::string node1_name = "node" + std::to_string(i - 1);
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auto *node = storage.Create<query::NodeAtom>(
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storage.Create<query::Identifier>(node1_name));
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node->labels_.emplace_back(label);
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node->properties_[property] = storage.Create<query::PrimitiveLiteral>(i);
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pattern->atoms_.emplace_back(node);
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single_query->clauses_.emplace_back(match);
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query->single_query_ = single_query;
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}
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return query;
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}
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static auto CreateIndexedVertices(int index_count, int vertex_count,
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database::GraphDb &db) {
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auto label = db.Access()->Label("label");
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auto prop = db.Access()->Property("prop");
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db.Access()->BuildIndex(label, prop, false);
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auto dba = db.Access();
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for (int vi = 0; vi < vertex_count; ++vi) {
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for (int index = 0; index < index_count; ++index) {
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auto vertex = dba->InsertVertex();
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vertex.add_label(label);
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vertex.PropsSet(prop, index);
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}
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}
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dba->Commit();
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return std::make_pair(label, prop);
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}
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static void BM_PlanAndEstimateIndexedMatching(benchmark::State &state) {
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database::GraphDb db;
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storage::Label label;
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storage::Property prop;
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int index_count = state.range(0);
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int vertex_count = state.range(1);
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std::tie(label, prop) = CreateIndexedVertices(index_count, vertex_count, db);
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auto dba = db.Access();
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query::Parameters parameters;
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while (state.KeepRunning()) {
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state.PauseTiming();
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query::AstStorage storage;
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auto *query = AddIndexedMatches(index_count, label,
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std::make_pair("prop", prop), storage);
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query::SymbolTable symbol_table;
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query::SymbolGenerator symbol_generator(symbol_table);
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query->Accept(symbol_generator);
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state.ResumeTiming();
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auto ctx =
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query::plan::MakePlanningContext(storage, symbol_table, query, *dba);
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auto query_parts =
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query::plan::CollectQueryParts(symbol_table, storage, query);
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if (query_parts.query_parts.size() == 0) {
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std::exit(EXIT_FAILURE);
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}
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auto single_query_parts = query_parts.query_parts.at(0).single_query_parts;
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auto plans = query::plan::MakeLogicalPlanForSingleQuery<
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query::plan::VariableStartPlanner>(single_query_parts, ctx);
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for (auto plan : plans) {
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query::plan::EstimatePlanCost(*dba, parameters, *plan);
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}
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}
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}
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static void BM_PlanAndEstimateIndexedMatchingWithCachedCounts(
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benchmark::State &state) {
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database::GraphDb db;
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storage::Label label;
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storage::Property prop;
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int index_count = state.range(0);
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int vertex_count = state.range(1);
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std::tie(label, prop) = CreateIndexedVertices(index_count, vertex_count, db);
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auto dba = db.Access();
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auto vertex_counts = query::plan::MakeVertexCountCache(*dba);
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query::Parameters parameters;
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while (state.KeepRunning()) {
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state.PauseTiming();
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query::AstStorage storage;
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auto *query = AddIndexedMatches(index_count, label,
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std::make_pair("prop", prop), storage);
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query::SymbolTable symbol_table;
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query::SymbolGenerator symbol_generator(symbol_table);
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query->Accept(symbol_generator);
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state.ResumeTiming();
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auto ctx = query::plan::MakePlanningContext(storage, symbol_table, query,
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vertex_counts);
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auto query_parts =
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query::plan::CollectQueryParts(symbol_table, storage, query);
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if (query_parts.query_parts.size() == 0) {
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std::exit(EXIT_FAILURE);
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}
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auto single_query_parts = query_parts.query_parts.at(0).single_query_parts;
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auto plans = query::plan::MakeLogicalPlanForSingleQuery<
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query::plan::VariableStartPlanner>(single_query_parts, ctx);
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for (auto plan : plans) {
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query::plan::EstimatePlanCost(vertex_counts, parameters, *plan);
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}
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}
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}
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BENCHMARK(BM_PlanAndEstimateIndexedMatching)
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->RangeMultiplier(4)
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->Ranges({{1, 100}, {100, 1000}})
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->Unit(benchmark::kMicrosecond);
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BENCHMARK(BM_PlanAndEstimateIndexedMatchingWithCachedCounts)
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->RangeMultiplier(4)
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->Ranges({{1, 100}, {100, 1000}})
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->Unit(benchmark::kMicrosecond);
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BENCHMARK_MAIN();
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