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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.ignite.internal.benchmark;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.time.Duration;
import java.util.concurrent.TimeUnit;
import org.apache.ignite.internal.sql.engine.util.tpch.TpchHelper;
import org.apache.ignite.internal.sql.engine.util.tpch.TpchTables;
import org.apache.ignite.sql.IgniteSql;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Param;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Threads;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.infra.Blackhole;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
/**
* Benchmark that runs sql queries from TPC-H suite via embedded client.
*/
@State(Scope.Benchmark)
@Fork(1)
@Threads(1)
@Warmup(iterations = 10, time = 2)
@Measurement(iterations = 20, time = 2)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@SuppressWarnings({"WeakerAccess", "unused"})
public class TpchBenchmark extends AbstractMultiNodeBenchmark {
/*
Minimal configuration of this benchmark requires specifying pathToDataset. Latest known location
of dataset is https://github.com/cmu-db/benchbase/tree/main/data/tpch-sf0.01 for scale factor 0.01
and https://github.com/cmu-db/benchbase/tree/main/data/tpch-sf0.1 for scale factor 0.1. Dataset
is set of CSV files with name `{$tableName}.tbl` per each table and character `|` as separator.
By default, cluster's work directory will be created as a temporary folder. This implies,
that all data generated by benchmark will be cleared automatically. However, this also implies
that cluster will be recreated on EVERY RUN. Given there are 25 queries and 2 different modes
(fsync on/off), it results in 50 schema initialization and data upload cycles. To initialize
cluster once and then reuse it state override `AbstractMultiNodeBenchmark.workDir()` method.
Don't forget to clear that directory afterwards.
*/
private static final String DATASET_READY_MARK_FILE_NAME = "ready.txt";
private final Path pathToDataset = null;
/** Useful when you need to initialize only subset of tables. */
private final TpchTables[] tablesToInit = TpchTables.values();
@Param({
"1", "2", "3", "4", "5", "6", "7", "8", "8v", "9", "10", "11", "12", "12v",
"13", "14", "14v", "15", "16", "17", "18", "19", "20", "21", "22"
})
private String queryId;
private IgniteSql sql;
private String queryString;
/** Initializes a schema and fills tables with data. */
@Setup
public void setUp() throws Exception {
try {
sql = clusterNode.sql();
if (!Files.exists(workDir().resolve(DATASET_READY_MARK_FILE_NAME))) {
if (pathToDataset == null) {
throw new IllegalStateException("Path do dataset is not provided. Please read the comment"
+ " in the beginning of TpchBenchmark.class");
}
System.out.println("Going to create schema...");
for (TpchTables table : tablesToInit) {
System.out.println("Going to create table \"" + table.tableName() + "\"...");
sql.executeScript(table.ddlScript());
System.out.println("Done");
fillTable(table);
}
Files.createFile(workDir().resolve(DATASET_READY_MARK_FILE_NAME));
}
queryString = TpchHelper.getQuery(queryId);
} catch (Exception e) {
nodeTearDown();
throw e;
}
}
/** Benchmark that measures performance of queries from TPC-H suite. */
@Benchmark
public void run(Blackhole bh) {
try (var rs = sql.execute(null, queryString)) {
while (rs.hasNext()) {
bh.consume(rs.next());
}
}
}
/**
* Benchmark's entry point.
*/
public static void main(String[] args) throws RunnerException {
Options opt = new OptionsBuilder()
.include(".*" + TpchBenchmark.class.getSimpleName() + ".*")
.build();
new Runner(opt).run();
}
private void fillTable(TpchTables table) {
System.out.println("Going to fill table \"" + table.tableName() + "\"...");
long start = System.nanoTime();
int count = 0;
Iterable<Object[]> dataProvider = () -> {
try {
return table.dataProvider(pathToDataset);
} catch (IOException e) {
throw new RuntimeException(e);
}
};
for (Object[] params : dataProvider) {
sql.execute(null, table.insertPrepareStatement(), params);
if (++count % 10_000 == 0) {
System.out.println("Uploaded " + count + " rows");
}
}
System.out.println("Done in " + Duration.ofNanos(System.nanoTime() - start));
}
@Override
protected void createTable(String tableName) {
// NO-OP
}
}