6427902920
Reviewers: mtomic, mferencevic, msantl, buda Reviewed By: buda Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D1560
324 lines
10 KiB
C++
324 lines
10 KiB
C++
#include <chrono>
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#include <experimental/optional>
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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#include "communication/result_stream_faker.hpp"
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#include "database/graph_db.hpp"
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#include "distributed/plan_consumer.hpp"
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#include "distributed/plan_dispatcher.hpp"
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#include "distributed/pull_rpc_clients.hpp"
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#include "distributed_common.hpp"
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#include "query/distributed_interpreter.hpp"
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#include "query_common.hpp"
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#include "query_plan_common.hpp"
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#include "utils/timer.hpp"
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// We use this to ensure a cached plan is removed from the concurrent map and
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// properly destructed.
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DECLARE_int32(skiplist_gc_interval);
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using namespace distributed;
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using namespace database;
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using namespace std::literals::chrono_literals;
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class DistributedInterpretationTest : public DistributedGraphDbTest {
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protected:
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DistributedInterpretationTest() : DistributedGraphDbTest("interpretation") {}
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void SetUp() override {
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DistributedGraphDbTest::SetUp();
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interpreter_.emplace(&master());
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}
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void TearDown() override {
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interpreter_ = std::experimental::nullopt;
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DistributedGraphDbTest::TearDown();
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}
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auto RunWithDba(const std::string &query, GraphDbAccessor &dba) {
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std::map<std::string, query::TypedValue> params = {};
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ResultStreamFaker<query::TypedValue> stream;
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auto results = interpreter_.value()(query, dba, params, false);
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stream.Header(results.header());
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results.PullAll(stream);
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stream.Summary(results.summary());
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return stream.GetResults();
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}
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auto Run(const std::string &query) {
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auto dba = master().Access();
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auto results = RunWithDba(query, *dba);
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dba->Commit();
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return results;
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}
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private:
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std::experimental::optional<query::DistributedInterpreter> interpreter_;
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};
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TEST_F(DistributedInterpretationTest, PullTest) {
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auto results = Run("OPTIONAL MATCH(n) UNWIND(RANGE(0, 20)) AS X RETURN 1");
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ASSERT_EQ(results.size(), 1 * 21);
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for (auto result : results) {
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ASSERT_EQ(result.size(), 1U);
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ASSERT_EQ(result[0].ValueInt(), 1);
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}
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}
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TEST_F(DistributedInterpretationTest, PullNoResultsTest) {
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auto results = Run("MATCH (n) RETURN n");
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ASSERT_EQ(results.size(), 0U);
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}
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TEST_F(DistributedInterpretationTest, CreateExpand) {
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InsertVertex(master());
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InsertVertex(worker(1));
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InsertVertex(worker(1));
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InsertVertex(worker(2));
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InsertVertex(worker(2));
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InsertVertex(worker(2));
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Run("MATCH (n) CREATE (n)-[:T]->(m) RETURN n");
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EXPECT_EQ(VertexCount(master()), 2);
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EXPECT_EQ(VertexCount(worker(1)), 4);
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EXPECT_EQ(VertexCount(worker(2)), 6);
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}
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TEST_F(DistributedInterpretationTest, RemoteExpandTest2) {
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// Make a fully connected graph with vertices scattered across master and
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// worker storage.
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// Vertex count is low, because test gets exponentially slower. The expected
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// result size is ~ vertices^3, and then that is compared at the end in no
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// particular order which causes O(result_size^2) comparisons.
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int verts_per_storage = 3;
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std::vector<storage::VertexAddress> vertices;
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vertices.reserve(verts_per_storage * 3);
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auto add_vertices = [this, &vertices, &verts_per_storage](auto &db) {
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for (int i = 0; i < verts_per_storage; ++i)
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vertices.push_back(InsertVertex(db));
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};
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add_vertices(master());
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add_vertices(worker(1));
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add_vertices(worker(2));
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auto get_edge_type = [](int v1, int v2) {
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return std::to_string(v1) + "-" + std::to_string(v2);
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};
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std::vector<std::string> edge_types;
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edge_types.reserve(vertices.size() * vertices.size());
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for (size_t i = 0; i < vertices.size(); ++i) {
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for (size_t j = 0; j < vertices.size(); ++j) {
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auto edge_type = get_edge_type(i, j);
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edge_types.push_back(edge_type);
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InsertEdge(vertices[i], vertices[j], edge_type);
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}
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}
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auto results = Run("MATCH (n)-[r1]-(m)-[r2]-(l) RETURN type(r1), type(r2)");
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// We expect the number of results to be:
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size_t expected_result_size =
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// pick (n)
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vertices.size() *
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// pick both directed edges to other (m) and a
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// single edge to (m) which equals (n), hence -1
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(2 * vertices.size() - 1) *
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// Pick as before, but exclude the previously taken edge, hence another -1
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(2 * vertices.size() - 1 - 1);
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std::vector<std::vector<std::string>> expected;
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expected.reserve(expected_result_size);
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for (size_t n = 0; n < vertices.size(); ++n) {
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for (size_t m = 0; m < vertices.size(); ++m) {
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std::vector<std::string> r1s{get_edge_type(n, m)};
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if (n != m) r1s.push_back(get_edge_type(m, n));
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for (size_t l = 0; l < vertices.size(); ++l) {
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std::vector<std::string> r2s{get_edge_type(m, l)};
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if (m != l) r2s.push_back(get_edge_type(l, m));
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for (const auto &r1 : r1s) {
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for (const auto &r2 : r2s) {
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if (r1 == r2) continue;
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expected.push_back({r1, r2});
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}
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}
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}
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}
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}
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ASSERT_EQ(expected.size(), expected_result_size);
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ASSERT_EQ(results.size(), expected_result_size);
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std::vector<std::vector<std::string>> got;
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got.reserve(results.size());
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for (const auto &res : results) {
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std::vector<std::string> row;
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row.reserve(res.size());
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for (const auto &col : res) {
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row.push_back(col.Value<std::string>());
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}
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got.push_back(row);
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}
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ASSERT_THAT(got, testing::UnorderedElementsAreArray(expected));
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}
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TEST_F(DistributedInterpretationTest, Cartesian) {
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// Create some data on the master and both workers.
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storage::Property prop;
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{
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auto dba = master().Access();
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auto tx_id = dba->transaction_id();
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auto dba1 = worker(1).Access(tx_id);
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auto dba2 = worker(2).Access(tx_id);
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prop = dba->Property("prop");
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auto add_data = [prop](GraphDbAccessor &dba, int value) {
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dba.InsertVertex().PropsSet(prop, value);
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};
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for (int i = 0; i < 10; ++i) add_data(*dba, i);
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for (int i = 10; i < 20; ++i) add_data(*dba1, i);
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for (int i = 20; i < 30; ++i) add_data(*dba2, i);
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dba->Commit();
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}
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std::vector<std::vector<int64_t>> expected;
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for (int64_t i = 0; i < 30; ++i)
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for (int64_t j = 0; j < 30; ++j) expected.push_back({i, j});
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auto results = Run("MATCH (n), (m) RETURN n.prop, m.prop;");
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size_t expected_result_size = 30 * 30;
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ASSERT_EQ(expected.size(), expected_result_size);
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ASSERT_EQ(results.size(), expected_result_size);
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std::vector<std::vector<int64_t>> got;
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got.reserve(results.size());
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for (const auto &res : results) {
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std::vector<int64_t> row;
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row.reserve(res.size());
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for (const auto &col : res) {
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row.push_back(col.Value<int64_t>());
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}
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got.push_back(row);
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}
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ASSERT_THAT(got, testing::UnorderedElementsAreArray(expected));
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}
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class TestQueryWaitsOnFutures : public DistributedInterpretationTest {
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protected:
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int QueryExecutionTimeSec(int worker_id) override {
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return worker_id == 2 ? 3 : 1;
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}
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};
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TEST_F(TestQueryWaitsOnFutures, Test) {
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const int kVertexCount = 10;
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auto make_fully_connected = [](database::GraphDb &db) {
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auto dba = db.Access();
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std::vector<VertexAccessor> vertices;
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for (int i = 0; i < kVertexCount; ++i)
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vertices.emplace_back(dba->InsertVertex());
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auto et = dba->EdgeType("et");
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for (auto &from : vertices)
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for (auto &to : vertices) dba->InsertEdge(from, to, et);
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dba->Commit();
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};
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make_fully_connected(worker(1));
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ASSERT_EQ(VertexCount(worker(1)), kVertexCount);
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ASSERT_EQ(EdgeCount(worker(1)), kVertexCount * kVertexCount);
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{
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utils::Timer timer;
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try {
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Run("MATCH ()--()--()--()--()--()--() RETURN count(1)");
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} catch (...) {
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}
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double seconds = timer.Elapsed().count();
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EXPECT_GT(seconds, 1);
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EXPECT_LT(seconds, 2);
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}
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make_fully_connected(worker(2));
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ASSERT_EQ(VertexCount(worker(2)), kVertexCount);
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ASSERT_EQ(EdgeCount(worker(2)), kVertexCount * kVertexCount);
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{
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utils::Timer timer;
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try {
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Run("MATCH ()--()--()--()--()--()--() RETURN count(1)");
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} catch (...) {
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}
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double seconds = timer.Elapsed().count();
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EXPECT_GT(seconds, 3);
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}
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}
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TEST_F(DistributedInterpretationTest, PlanExpiration) {
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FLAGS_query_plan_cache_ttl = 1;
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Run("MATCH (n) RETURN n");
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auto ids1 = worker(1).plan_consumer().CachedPlanIds();
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ASSERT_EQ(ids1.size(), 1);
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// Sleep so the cached plan becomes invalid.
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std::this_thread::sleep_for(std::chrono::milliseconds(1100));
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Run("MATCH (n) RETURN n");
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// Sleep so the invalidated plan (removed from cache which is a concurrent
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// map) gets destructed and thus remote caches cleared.
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std::this_thread::sleep_for(std::chrono::milliseconds(1500));
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auto ids2 = worker(1).plan_consumer().CachedPlanIds();
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ASSERT_EQ(ids2.size(), 1);
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EXPECT_NE(ids1, ids2);
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}
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TEST_F(DistributedInterpretationTest, ConcurrentPlanExpiration) {
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FLAGS_query_plan_cache_ttl = 1;
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auto count_vertices = [this]() {
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utils::Timer timer;
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while (timer.Elapsed() < 3s) {
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Run("MATCH () RETURN count(1)");
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}
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};
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std::vector<std::thread> counters;
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for (size_t i = 0; i < std::thread::hardware_concurrency(); ++i)
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counters.emplace_back(count_vertices);
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for (auto &t : counters) t.join();
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}
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TEST_F(DistributedInterpretationTest, OngoingProduceKeyTest) {
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int worker_count = 10;
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for (int i = 0; i < worker_count; ++i) {
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InsertVertex(master());
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InsertVertex(worker(1));
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InsertVertex(worker(2));
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}
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auto dba = master().Access();
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auto count1 = RunWithDba("MATCH (n) RETURN count(n)", *dba);
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dba->AdvanceCommand();
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auto count2 = RunWithDba("MATCH (n) RETURN count(n)", *dba);
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ASSERT_EQ(count1[0][0].ValueInt(), 3 * worker_count);
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ASSERT_EQ(count2[0][0].ValueInt(), 3 * worker_count);
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}
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TEST_F(DistributedInterpretationTest, AdvanceCommandOnWorkers) {
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auto dba = master().Access();
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RunWithDba("UNWIND RANGE(1, 10) as x CREATE (:A {id: x})", *dba);
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dba->AdvanceCommand();
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// Advance commands on workers also.
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auto futures = master().pull_clients().NotifyAllTransactionCommandAdvanced(
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dba->transaction_id());
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for (auto &future : futures) future.wait();
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auto count = RunWithDba("MATCH (n) RETURN count(n)", *dba);
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ASSERT_EQ(count[0][0].ValueInt(), 10);
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}
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int main(int argc, char **argv) {
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google::InitGoogleLogging(argv[0]);
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::testing::InitGoogleTest(&argc, argv);
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gflags::ParseCommandLineFlags(&argc, &argv, true);
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FLAGS_skiplist_gc_interval = 1;
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return RUN_ALL_TESTS();
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}
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