8da71873a7
Reviewers: teon.banek Reviewed By: teon.banek Subscribers: pullbot Differential Revision: https://phabricator.memgraph.io/D2585
371 lines
13 KiB
C++
371 lines
13 KiB
C++
#include <memory>
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#include <random>
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#include <shared_mutex>
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#include <vector>
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#include "gflags/gflags.h"
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#include "utils/rw_lock.hpp"
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#include "long_running_common.hpp"
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std::atomic<int64_t> num_pos;
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std::atomic<int64_t> num_cards;
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std::atomic<int64_t> num_transactions;
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std::atomic<int64_t> max_tx_id;
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utils::RWLock world_lock(utils::RWLock::Priority::WRITE);
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DEFINE_string(config, "", "test config");
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enum class Role { WORKER, ANALYTIC, CLEANUP };
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int64_t NumNodesWithLabel(Client &client, std::string label) {
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std::string query = fmt::format("MATCH (u :{}) RETURN count(u)", label);
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auto result = ExecuteNTimesTillSuccess(client, query, {}, MAX_RETRIES);
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return result.first.records[0][0].ValueInt();
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}
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int64_t MaxIdForLabel(Client &client, std::string label) {
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std::string query = fmt::format("MATCH (u :{}) RETURN max(u.id)", label);
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auto result = ExecuteNTimesTillSuccess(client, query, {}, MAX_RETRIES);
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return result.first.records[0][0].ValueInt();
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}
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void CreateIndex(Client &client, const std::string &label,
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const std::string &property) {
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LOG(INFO) << fmt::format("Creating indexes for :{}({})...", label, property);
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ExecuteNTimesTillSuccess(
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client, fmt::format("CREATE INDEX ON :{}({});", label, property), {},
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MAX_RETRIES);
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try {
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LOG(INFO) << fmt::format("Trying to sync indexes...");
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ExecuteNTimesTillSuccess(client, "CALL db.awaitIndexes(14400);", {},
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MAX_RETRIES);
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} catch (utils::BasicException &e) {
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LOG(WARNING) << "Index sync failed: " << e.what();
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}
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}
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class CardFraudClient : public TestClient {
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public:
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CardFraudClient(int id, nlohmann::json config, Role role = Role::WORKER)
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: TestClient(), rg_(id), role_(role), config_(config) {}
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private:
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std::mt19937 rg_;
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Role role_;
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nlohmann::json config_;
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void GetFraudulentTransactions() {
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auto result = Execute(
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"MATCH (t:Transaction {fraud_reported: true}) "
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"RETURN t.id as id",
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{}, "GetFraudulentTransactions");
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CHECK(result) << "Read-only query should not fail!";
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}
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/* This query could be rewritten into an equivalent one:
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* 'MATCH (t:Transaction {fraud_reported: true}) RETURN t LIMIT 1'.
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* When written like this it causes a lot of network traffic between
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* distributed workers because they have to return all their data to master
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* instead of just one node, but doesn't overload the client because it has to
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* process just one return value.
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*/
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void HeavyRead() {
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auto result = Execute(
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"MATCH (t:Transaction {fraud_reported: true}) "
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"WITH COLLECT(t.id) as ids "
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"RETURN head(ids)",
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{}, "HeavyRead");
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CHECK(result) << "Read-only query should not fail";
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}
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/* If a card was used in a fraudulent transaction, we mark all POS it was used
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* on as possibly fraudulent (having a connected fraud). This query counts
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* connected frauds for each POS and orders them by that number.
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*/
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/* TODO(mtomic): this would make more sense if the data was timestamped. */
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auto GetCompromisedPos(int pos_limit) {
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auto result = Execute(
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"MATCH (t:Transaction {fraud_reported: true})-[:Using]->(:Card)"
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"<-[:Using]-(:Transaction)-[:At]->(p:Pos) "
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"WITH p.id as pos, count(t) as connected_frauds "
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"WHERE connected_frauds > 1 "
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"RETURN pos, connected_frauds "
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"ORDER BY connected_frauds DESC LIMIT $pos_limit",
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{{"pos_limit", pos_limit}}, "GetCompromisedPos");
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CHECK(result) << "Read-only query should not fail";
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}
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/* The following two queries approximate the above one. `UpdateFraudScores`
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* computes the number of connected frauds for each POS incrementally, as
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* transactions are added, and `GetCompromisedPosInc` just orders them by that
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* value. Both queries should execute reasonably fast, while the above one can
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* take a lot of time if the dataset is large. The `fraud_score` value
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* computed is not equal to `connected_frauds` computed in the above query
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* because there could be multiple paths from a transaction to a POS. */
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void UpdateFraudScores(int64_t tx_id) {
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auto result = Execute(
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"MATCH (t:Transaction {id: "
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"$tx_id})-[:Using]->(:Card)<-[:Using]-(:Transaction)-[:At]->(p:Pos) "
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"SET p.connected_frauds = p.connected_frauds + 1",
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{{"tx_id", tx_id}}, "UpdateFraudScores");
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LOG_IF(WARNING, !result) << "`UpdateFraudScores` failed too many times!";
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}
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void GetCompromisedPosInc(int64_t pos_limit) {
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auto result = Execute(
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"MATCH (p:Pos) "
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"RETURN p, p.connected_frauds "
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"ORDER BY p.connected_frauds DESC "
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"LIMIT $pos_limit",
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{{"pos_limit", pos_limit}}, "GetCompromisedPosInc");
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CHECK(result) << "Read-only query should not fail";
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}
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/* This is used to approximate Memgraph's TEPS (traversed edges per seconds)
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* metric by multiplying the throughput with the size of the dataset. */
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void TepsQuery() {
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auto result = Execute("MATCH (u)--(v) RETURN count(1)", {}, "TepsQuery");
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CHECK(result) << "Read-only query should not fail";
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CHECK(result->records[0][0].ValueInt() == num_transactions * 4)
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<< "Wrong count returned from TEPS query";
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}
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/* Simple point lookup. */
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void GetTransaction(int64_t id) {
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auto result = Execute("MATCH (t:Transaction {id: $id}) RETURN (t)",
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{{"id", id}}, "GetTransaction");
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CHECK(result) << "Read-only query should not fail";
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CHECK(result->records[0][0].ValueVertex().properties["id"].ValueInt() == id)
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<< "Transaction with wrong ID returned from point lookup";
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}
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void CreateTransaction(int64_t pos_id, int64_t card_id, int64_t tx_id,
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bool is_fraud) {
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auto result = Execute(
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"MATCH (p:Pos {id: $pos_id}), (c:Card {id: $card_id}) "
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"CREATE (c)<-[:Using]-(t:Transaction {id: $tx_id, fraud_reported: "
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"$is_fraud})-[:At]->(p) RETURN t",
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{{"pos_id", pos_id},
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{"card_id", card_id},
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{"tx_id", tx_id},
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{"is_fraud", is_fraud}},
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"CreateTransaction");
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if (!result) {
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LOG(WARNING) << "`CreateTransaction` failed too many times!";
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return;
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}
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CHECK(result->records.size() == 1) << fmt::format(
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"Failed to create transaction: (:Card {{id: {}}})<-(:Transaction "
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"{{id: {}}})->(:Pos {{id: {}}})",
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card_id, tx_id, pos_id);
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num_transactions++;
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}
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int64_t UniformInt(int64_t a, int64_t b) {
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std::uniform_int_distribution<int64_t> dist(a, b);
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return dist(rg_);
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}
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double UniformDouble(double a, double b) {
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std::uniform_real_distribution<double> dist(a, b);
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return dist(rg_);
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}
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public:
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void AnalyticStep() {
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std::this_thread::sleep_for(
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std::chrono::milliseconds(config_["analytic"]["query_interval_ms"]));
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std::shared_lock<utils::RWLock> lock(world_lock);
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GetCompromisedPosInc(config_["analytic"]["pos_limit"]);
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}
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void WorkerStep() {
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std::shared_lock<utils::RWLock> lock(world_lock);
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bool is_fraud = UniformDouble(0, 1) < config_["fraud_probability"];
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int64_t pos_id = UniformInt(0, num_pos - 1);
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int64_t pos_worker = pos_id / config_["pos_per_worker"].get<int64_t>();
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int64_t card_worker = pos_worker;
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if (config_["num_workers"] > 1 &&
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UniformDouble(0, 1) < config_["hop_probability"]) {
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card_worker = UniformInt(0, config_["num_workers"].get<int64_t>() - 2);
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if (card_worker >= pos_worker) {
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++card_worker;
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}
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}
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int64_t card_id =
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card_worker * config_["cards_per_worker"].get<int64_t>() +
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UniformInt(0, config_["cards_per_worker"].get<int64_t>() - 1);
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int64_t tx_id = ++max_tx_id;
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CreateTransaction(pos_id, card_id, tx_id, is_fraud);
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if (is_fraud) {
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UpdateFraudScores(tx_id);
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}
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}
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int64_t NumTransactions() {
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auto result =
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Execute("MATCH (t:Transaction) RETURN count(1)", {}, "NumTransactions");
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CHECK(result) << "Read-only query should not fail!";
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return result->records[0][0].ValueInt();
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}
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void CleanupStep() {
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if (num_transactions >= config_["cleanup"]["tx_hi"].get<int64_t>()) {
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LOG(INFO) << "Trying to obtain world lock...";
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std::unique_lock<utils::RWLock> lock(world_lock);
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int64_t id_limit = max_tx_id - config_["cleanup"]["tx_lo"].get<int>() + 1;
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LOG(INFO) << "Transaction cleanup started, deleting transactions "
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"with ids less than "
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<< id_limit;
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utils::Timer timer;
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auto result = Execute(
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"MATCH (t:Transaction) WHERE t.id < $id_limit "
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"DETACH DELETE t RETURN count(1)",
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{{"id_limit", id_limit}}, "TransactionCleanup");
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int64_t deleted = 0;
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if (result) {
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deleted = result->records[0][0].ValueInt();
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} else {
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LOG(ERROR) << "Transaction cleanup failed";
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}
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LOG(INFO) << "Deleted " << deleted << " transactions in "
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<< timer.Elapsed().count() << " seconds";
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int64_t num_transactions_db = NumTransactions();
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CHECK(num_transactions_db == num_transactions - deleted) << fmt::format(
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"Number of transactions after deletion doesn't match: "
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"before = {}, after = {}, reported deleted = {}, actual = "
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"{}",
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num_transactions, num_transactions_db, deleted,
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num_transactions - num_transactions_db);
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num_transactions = num_transactions_db;
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}
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std::this_thread::sleep_for(
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std::chrono::seconds(config_["cleanup"]["check_interval_sec"]));
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}
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virtual void Step() override {
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if (FLAGS_scenario == "heavy_read") {
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HeavyRead();
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return;
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}
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if (FLAGS_scenario == "teps") {
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TepsQuery();
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return;
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}
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if (FLAGS_scenario == "point_lookup") {
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GetTransaction(UniformInt(0, num_transactions - 1));
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return;
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}
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if (FLAGS_scenario == "create_tx") {
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CreateTransaction(UniformInt(0, num_pos - 1),
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UniformInt(0, num_cards - 1), ++max_tx_id, false);
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return;
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}
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/* Card fraud demo using incremental approach to computing fraud scores for
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* POS. New transactions are created at the maximum possible rate. Analytic
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* query is ran periodically. Transaction cleanup is run when the number of
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* transactions exceeds provided limit to prevent memory overflow. All other
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* queries are halted during transaction cleanup (synchronization by shared
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* mutex).
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*/
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if (FLAGS_scenario == "card_fraud_inc") {
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switch (role_) {
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case Role::ANALYTIC:
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AnalyticStep();
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break;
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case Role::WORKER:
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WorkerStep();
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break;
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case Role::CLEANUP:
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CleanupStep();
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break;
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}
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return;
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}
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LOG(FATAL) << "Should not get here: unknown scenario!";
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}
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};
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nlohmann::json LoadConfig() {
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nlohmann::json config;
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if (FLAGS_config != "") {
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LOG(INFO) << "Loading config from: " << FLAGS_config;
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std::ifstream is(FLAGS_config);
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is >> config;
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} else {
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LOG(INFO) << "No test config provided";
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}
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return config;
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}
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int main(int argc, char **argv) {
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gflags::ParseCommandLineFlags(&argc, &argv, true);
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google::InitGoogleLogging(argv[0]);
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communication::Init();
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Endpoint endpoint(FLAGS_address, FLAGS_port);
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ClientContext context(FLAGS_use_ssl);
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Client client(&context);
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client.Connect(endpoint, FLAGS_username, FLAGS_password);
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num_pos.store(NumNodesWithLabel(client, "Pos"));
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num_cards.store(NumNodesWithLabel(client, "Card"));
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num_transactions.store(NumNodesWithLabel(client, "Transaction"));
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max_tx_id.store(MaxIdForLabel(client, "Transaction"));
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CreateIndex(client, "Pos", "id");
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CreateIndex(client, "Card", "id");
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CreateIndex(client, "Transaction", "fraud_reported");
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CreateIndex(client, "Transaction", "id");
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LOG(INFO) << "Done building indexes.";
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client.Close();
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auto config = LoadConfig();
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std::vector<std::unique_ptr<TestClient>> clients;
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if (FLAGS_scenario == "card_fraud_inc") {
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CHECK(FLAGS_num_workers >= 2)
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<< "There should be at least 2 client workers (analytic and cleanup)";
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CHECK(num_pos == config["num_workers"].get<int>() *
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config["pos_per_worker"].get<int>())
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<< "Wrong number of POS per worker";
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CHECK(num_cards == config["num_workers"].get<int>() *
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config["cards_per_worker"].get<int>())
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<< "Wrong number of cards per worker";
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for (int i = 0; i < FLAGS_num_workers - 2; ++i) {
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clients.emplace_back(std::make_unique<CardFraudClient>(i, config));
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}
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clients.emplace_back(std::make_unique<CardFraudClient>(
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FLAGS_num_workers - 2, config, Role::ANALYTIC));
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clients.emplace_back(std::make_unique<CardFraudClient>(
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FLAGS_num_workers - 1, config, Role::CLEANUP));
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} else {
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for (int i = 0; i < FLAGS_num_workers; ++i) {
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clients.emplace_back(std::make_unique<CardFraudClient>(i, config));
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}
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}
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RunMultithreadedTest(clients);
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return 0;
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}
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