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Posted to commits@ignite.apache.org by am...@apache.org on 2021/06/25 09:37:43 UTC

[ignite-3] branch ignite-14743-row-formats updated: Add benchmarks

This is an automated email from the ASF dual-hosted git repository.

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


The following commit(s) were added to refs/heads/ignite-14743-row-formats by this push:
     new 40eb4b7  Add benchmarks
40eb4b7 is described below

commit 40eb4b7da96907df7d021716a8fc42394789d521
Author: Andrew Mashenkov <an...@gmail.com>
AuthorDate: Fri Jun 25 12:37:23 2021 +0300

    Add benchmarks
---
 .../TupleMarshallerFixlenOnlyBenchmark.java        | 149 ++++++++++++++++++++
 .../TupleMarshallerVarlenOnlyBenchmark.java        | 152 +++++++++++++++++++++
 2 files changed, 301 insertions(+)

diff --git a/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerFixlenOnlyBenchmark.java b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerFixlenOnlyBenchmark.java
new file mode 100644
index 0000000..aff4b5e
--- /dev/null
+++ b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerFixlenOnlyBenchmark.java
@@ -0,0 +1,149 @@
+/*
+ * 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.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.internal.util.Constants;
+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.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})
+@OutputTimeUnit(TimeUnit.MILLISECONDS)
+@Fork(jvmArgs = "-Djava.lang.invoke.stringConcat=BC_SB" /* Workaround for Java 9+ */, value = 1)
+@SuppressWarnings("InstanceVariableMayNotBeInitialized")
+public class TupleMarshallerFixlenOnlyBenchmark {
+    /** 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;
+
+    /** Schema descriptor. */
+    private SchemaDescriptor schema;
+
+    /** Values. */
+    private Object[] vals;
+
+    /**
+     * Runner.
+     */
+    public static void main(String[] args) throws RunnerException {
+        new Runner(
+            new OptionsBuilder()
+                .include(TupleMarshallerFixlenOnlyBenchmark.class.getSimpleName())
+                .build()
+        ).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, LONG, nullable))
+                .toArray(Column[]::new)
+        );
+
+        marshaller = new TupleMarshallerImpl(new SchemaRegistry() {
+            @Override public SchemaDescriptor schema() {
+                return schema;
+            }
+
+            @Override public SchemaDescriptor schema(int ver) {
+                return schema;
+            }
+        });
+
+        vals = new Object[schema.valueColumns().length()];
+
+        for (int i = 0; i < vals.length; i++)
+            vals[i] = rnd.nextLong();
+    }
+
+    /**
+     * 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);
+    }
+}
diff --git a/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerVarlenOnlyBenchmark.java b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerVarlenOnlyBenchmark.java
new file mode 100644
index 0000000..1c071b0
--- /dev/null
+++ b/modules/table/src/test/java/org/apache/ignite/internal/benchmarks/TupleMarshallerVarlenOnlyBenchmark.java
@@ -0,0 +1,152 @@
+/*
+ * 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})
+@OutputTimeUnit(TimeUnit.MILLISECONDS)
+@Fork(jvmArgs = "-Djava.lang.invoke.stringConcat=BC_SB" /* Workaround for Java 9+ */, value = 1)
+public class TupleMarshallerVarlenOnlyBenchmark {
+    /** Random. */
+    private Random rnd = new Random();
+
+    /** Tuple marshaller. */
+    private TupleMarshaller marshaller;
+
+    /** Object fields count. */
+    @Param({"2", "10", "100"})
+    public int fieldsCount;
+
+    /** Payload size. */
+    @Param({"250", "64000", "65000"})
+    public int dataSize;
+
+    /** Nullable cols. */
+    @Param({"true", "false"})
+    public boolean nullable;
+
+    /** Schema descriptor. */
+    private SchemaDescriptor schema;
+
+    /** Values. */
+    private byte[] val;
+
+    /**
+     * Runner.
+     */
+    public static void main(String[] args) throws RunnerException {
+        new Runner(
+            new OptionsBuilder()
+                .include(TupleMarshallerVarlenOnlyBenchmark.class.getSimpleName())
+                .build()
+        ).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, BYTES, nullable))
+                .toArray(Column[]::new)
+        );
+
+        marshaller = new TupleMarshallerImpl(new SchemaRegistry() {
+            @Override public SchemaDescriptor schema() {
+                return schema;
+            }
+
+            @Override public SchemaDescriptor schema(int ver) {
+                return schema;
+            }
+        });
+
+        val = new byte[dataSize / fieldsCount];
+
+        rnd.nextBytes(val);
+    }
+
+    /**
+     * 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(), val);
+
+        Tuple keyTuple = new TupleBuilderImpl(schema).set("key", rnd.nextLong()).build();
+
+        final Row row = marshaller.marshal(keyTuple, valBld.build());
+
+        bh.consume(row);
+    }
+}