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amashenkov pushed a commit to branch ignite-14743-compaction
in repository https://gitbox.apache.org/repos/asf/ignite-3.git


The following commit(s) were added to refs/heads/ignite-14743-compaction by 
this push:
     new b06f467  Add benchmark.
b06f467 is described below

commit b06f4676a4706860c2d466e6b55cff5639a53def
Author: Andrew Mashenkov <andrey.mashen...@gmail.com>
AuthorDate: Thu Jun 24 22:11:52 2021 +0300

    Add benchmark.
---
 .../benchmarks/TupleMarshallerBenchmarkTest.java   | 163 +++++++++++++++++++++
 1 file changed, 163 insertions(+)

diff --git 
a/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerBenchmarkTest.java
 
b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerBenchmarkTest.java
new file mode 100644
index 0000000..53546b6
--- /dev/null
+++ 
b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerBenchmarkTest.java
@@ -0,0 +1,163 @@
+/*
+ * 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.benchmarks;
+
+import java.util.Random;
+import java.util.UUID;
+import java.util.concurrent.TimeUnit;
+import java.util.function.Supplier;
+import java.util.stream.IntStream;
+import org.apache.ignite.internal.schema.Column;
+import org.apache.ignite.internal.schema.Columns;
+import org.apache.ignite.internal.schema.SchemaDescriptor;
+import org.apache.ignite.internal.schema.SchemaRegistry;
+import org.apache.ignite.internal.schema.marshaller.TupleMarshaller;
+import org.apache.ignite.internal.schema.row.Row;
+import org.apache.ignite.internal.table.TupleBuilderImpl;
+import org.apache.ignite.internal.table.TupleMarshallerImpl;
+import org.apache.ignite.table.Tuple;
+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.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;
+
+import static org.apache.ignite.internal.schema.NativeTypes.BYTES;
+import static org.apache.ignite.internal.schema.NativeTypes.LONG;
+
+/**
+ * Serializer benchmark.
+ */
+@State(Scope.Benchmark)
+@Warmup(iterations = 1, time = 15, timeUnit = TimeUnit.SECONDS)
+@Measurement(iterations = 1, time = 30, timeUnit = TimeUnit.SECONDS)
+@BenchmarkMode({Mode.Throughput, Mode.AverageTime})
+@OutputTimeUnit(TimeUnit.MICROSECONDS)
+@Fork(jvmArgs = "-Djava.lang.invoke.stringConcat=BC_SB" /* Workaround for Java 
9+ */, value = 1)
+public class TupleMarshallerBenchmarkTest {
+    /** Random. */
+    private Random rnd = new Random();
+
+    /** Tuple marshaller. */
+    private TupleMarshaller marshaller;
+
+    /** Object fields count. */
+    @Param({"1", "10", "100"})
+    public int fieldsCount;
+
+    /** Nullable cols. */
+    @Param({"true", "false"})
+    public boolean nullable;
+
+    /** Fixed length. */
+    @Param({"true", "false"})
+    public boolean fixedLen;
+
+    /** Schema descriptor. */
+    private SchemaDescriptor schema;
+
+    private Object[] vals;
+
+    /**
+     * Runner.
+     */
+    public static void main(String[] args) throws RunnerException {
+        Options opt = new OptionsBuilder()
+            .include(TupleMarshallerBenchmarkTest.class.getSimpleName())
+            .build();
+
+        new Runner(opt).run();
+    }
+
+    /**
+     *
+     */
+    @Setup
+    public void init() {
+        long seed = System.currentTimeMillis();
+
+        rnd = new Random(seed);
+
+        schema = new SchemaDescriptor(
+            UUID.randomUUID(),
+            42,
+            new Column[] {new Column("key", LONG, false)},
+            IntStream.range(0, fieldsCount).boxed()
+                .map(i -> new Column("col" + i, fixedLen ? LONG : BYTES, 
nullable))
+                .toArray(Column[]::new)
+        );
+
+        marshaller = new TupleMarshallerImpl(new SchemaRegistry() {
+            @Override public SchemaDescriptor schema() {
+                return schema;
+            }
+
+            @Override public SchemaDescriptor schema(int ver) {
+                return schema;
+            }
+        });
+
+        Supplier<Object> gen = fixedLen ? () -> rnd.nextLong() :
+            new Supplier<>() {
+                private final byte[] bytes = new byte[8];
+
+                @Override public Object get() {
+                    rnd.nextBytes(bytes);
+
+                    return bytes;
+                }
+            };
+
+        vals = new Object[schema.valueColumns().length()];
+
+        for (int i = 0; i < vals.length; i++)
+            vals[i] = gen.get();
+    }
+
+    /**
+     * Measure tuple build then marshall.
+     *
+     * @param bh Black hole.
+     */
+    @Benchmark
+    public void measureTupleBuildAndMarshallerCost(Blackhole bh) {
+        final Columns cols = schema.valueColumns();
+
+        final TupleBuilderImpl valBld = new TupleBuilderImpl(schema);
+
+        for (int i = 0; i < cols.length(); i++)
+            valBld.set(cols.column(i).name(), vals[i]);
+
+        Tuple keyTuple = new TupleBuilderImpl(schema).set("key", 
rnd.nextLong()).build();
+
+        final Row row = marshaller.marshal(keyTuple, valBld.build());
+
+        bh.consume(row);
+    }
+}

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