benchmarks/src/main/java/org/opendaylight/yangtools/yang/data/impl/tree/InMemoryDataTreeBenchmark.java

   1 /*
   2  * Copyright (c) 2013 Cisco Systems, Inc. and others.  All rights reserved.
   3  *
   4  * This program and the accompanying materials are made available under the
   5  * terms of the Eclipse Public License v1.0 which accompanies this distribution,
   6  * and is available at http://www.eclipse.org/legal/epl-v10.html
   7  */
   8 package org.opendaylight.yangtools.yang.data.impl.tree;
   9
  10 import com.google.common.collect.Streams;
  11 import java.util.Arrays;
  12 import java.util.concurrent.TimeUnit;
  13 import java.util.stream.Collectors;
  14 import java.util.stream.IntStream;
  15 import org.opendaylight.yangtools.yang.data.api.YangInstanceIdentifier;
  16 import org.opendaylight.yangtools.yang.data.api.YangInstanceIdentifier.NodeIdentifierWithPredicates;
  17 import org.opendaylight.yangtools.yang.data.api.schema.MapEntryNode;
  18 import org.opendaylight.yangtools.yang.data.api.schema.MapNode;
  19 import org.opendaylight.yangtools.yang.data.api.schema.NormalizedNode;
  20 import org.opendaylight.yangtools.yang.data.api.schema.tree.CursorAwareDataTreeModification;
  21 import org.opendaylight.yangtools.yang.data.api.schema.tree.DataTree;
  22 import org.opendaylight.yangtools.yang.data.api.schema.tree.DataTreeConfiguration;
  23 import org.opendaylight.yangtools.yang.data.api.schema.tree.DataTreeModification;
  24 import org.opendaylight.yangtools.yang.data.api.schema.tree.DataTreeModificationCursor;
  25 import org.opendaylight.yangtools.yang.data.api.schema.tree.DataValidationFailedException;
  26 import org.opendaylight.yangtools.yang.data.impl.schema.ImmutableNodes;
  27 import org.opendaylight.yangtools.yang.data.impl.schema.builder.api.CollectionNodeBuilder;
  28 import org.opendaylight.yangtools.yang.data.impl.schema.builder.impl.ImmutableContainerNodeBuilder;
  29 import org.opendaylight.yangtools.yang.data.impl.schema.tree.InMemoryDataTreeFactory;
  30 import org.openjdk.jmh.annotations.Benchmark;
  31 import org.openjdk.jmh.annotations.BenchmarkMode;
  32 import org.openjdk.jmh.annotations.Fork;
  33 import org.openjdk.jmh.annotations.Level;
  34 import org.openjdk.jmh.annotations.Measurement;
  35 import org.openjdk.jmh.annotations.Mode;
  36 import org.openjdk.jmh.annotations.OutputTimeUnit;
  37 import org.openjdk.jmh.annotations.Scope;
  38 import org.openjdk.jmh.annotations.Setup;
  39 import org.openjdk.jmh.annotations.State;
  40 import org.openjdk.jmh.annotations.TearDown;
  41 import org.openjdk.jmh.annotations.Warmup;
  42 import org.openjdk.jmh.runner.Runner;
  43 import org.openjdk.jmh.runner.RunnerException;
  44 import org.openjdk.jmh.runner.options.Options;
  45 import org.openjdk.jmh.runner.options.OptionsBuilder;
  46
  47 /**
  48  * Benchmarking of InMemoryDataTree performance.
  49  *
  50  * JMH is used for microbenchmarking.
  51  *
  52  * @author Lukas Sedlak &lt;lsedlak@cisco.com&gt;
  53  *
  54  * @see <a href="http://openjdk.java.net/projects/code-tools/jmh/">JMH</a>
  55  */
  56 @State(Scope.Thread)
  57 @BenchmarkMode(Mode.AverageTime)
  58 @OutputTimeUnit(TimeUnit.MILLISECONDS)
  59 @Fork(1)
  60 public class InMemoryDataTreeBenchmark {
  61
  62     private static final int WARMUP_ITERATIONS = 10;
  63     private static final int MEASUREMENT_ITERATIONS = 10;
  64
  65     private static final int OUTER_LIST_100K = 100000;
  66     private static final int OUTER_LIST_50K = 50000;
  67     private static final int OUTER_LIST_10K = 10000;
  68
  69     private static final NodeIdentifierWithPredicates[] OUTER_LIST_IDS = Streams.mapWithIndex(
  70         IntStream.range(0, OUTER_LIST_100K),
  71         (i, index) -> new NodeIdentifierWithPredicates(BenchmarkModel.OUTER_LIST_QNAME, BenchmarkModel.ID_QNAME, i))
  72             .collect(Collectors.toList()).toArray(new NodeIdentifierWithPredicates[0]);
  73
  74     private static final YangInstanceIdentifier[] OUTER_LIST_PATHS = Arrays.stream(OUTER_LIST_IDS)
  75             .map(id -> BenchmarkModel.OUTER_LIST_PATH.node(id).toOptimized())
  76             .collect(Collectors.toList()).toArray(new YangInstanceIdentifier[0]);
  77
  78     private static final MapNode EMPTY_OUTER_LIST = ImmutableNodes.mapNodeBuilder(BenchmarkModel.OUTER_LIST).build();
  79     private static final MapNode ONE_ITEM_INNER_LIST = initInnerListItems(1);
  80     private static final MapNode TWO_ITEM_INNER_LIST = initInnerListItems(2);
  81     private static final MapNode TEN_ITEM_INNER_LIST = initInnerListItems(10);
  82
  83     private static MapNode initInnerListItems(final int count) {
  84         final CollectionNodeBuilder<MapEntryNode, MapNode> mapEntryBuilder = ImmutableNodes
  85             .mapNodeBuilder(BenchmarkModel.INNER_LIST);
  86
  87         for (int i = 0; i < count; ++i) {
  88             mapEntryBuilder
  89                 .withChild(ImmutableNodes.mapEntry(BenchmarkModel.INNER_LIST_QNAME, BenchmarkModel.NAME_QNAME, i));
  90         }
  91
  92         return mapEntryBuilder.build();
  93     }
  94
  95     private static final NormalizedNode<?, ?>[] OUTER_LIST_ONE_ITEM_INNER_LIST = initOuterListItems(OUTER_LIST_100K,
  96         ONE_ITEM_INNER_LIST);
  97     private static final NormalizedNode<?, ?>[] OUTER_LIST_TWO_ITEM_INNER_LIST = initOuterListItems(OUTER_LIST_50K,
  98         TWO_ITEM_INNER_LIST);
  99     private static final NormalizedNode<?, ?>[] OUTER_LIST_TEN_ITEM_INNER_LIST = initOuterListItems(OUTER_LIST_10K,
 100         TEN_ITEM_INNER_LIST);
 101
 102     private static NormalizedNode<?,?>[] initOuterListItems(final int outerListItemsCount, final MapNode innerList) {
 103         return Arrays.stream(OUTER_LIST_IDS).limit(outerListItemsCount)
 104                 .map(id -> ImmutableNodes.mapEntryBuilder().withNodeIdentifier(id).withChild(innerList).build())
 105                 .collect(Collectors.toList()).toArray(new NormalizedNode[0]);
 106     }
 107
 108     private DataTree datastore;
 109
 110     public static void main(final String... args) throws RunnerException {
 111         Options opt = new OptionsBuilder()
 112             .include(".*" + InMemoryDataTreeBenchmark.class.getSimpleName() + ".*")
 113             .forks(1)
 114             .build();
 115
 116         new Runner(opt).run();
 117     }
 118
 119     @Setup(Level.Trial)
 120     public void setup() throws DataValidationFailedException {
 121         datastore = new InMemoryDataTreeFactory().create(DataTreeConfiguration.DEFAULT_CONFIGURATION,
 122             BenchmarkModel.createTestContext());
 123
 124         final DataTreeModification modification = begin();
 125         modification.write(BenchmarkModel.TEST_PATH, ImmutableContainerNodeBuilder.create()
 126             .withNodeIdentifier(BenchmarkModel.TEST).withChild(EMPTY_OUTER_LIST).build());
 127         commit(modification);
 128     }
 129
 130     @TearDown
 131     public void tearDown() {
 132         datastore = null;
 133     }
 134
 135     @Benchmark
 136     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 137     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 138     public void write100KSingleNodeWithOneInnerItemInOneCommitBenchmark() throws DataValidationFailedException {
 139         final DataTreeModification modification = begin();
 140         for (int outerListKey = 0; outerListKey < OUTER_LIST_100K; ++outerListKey) {
 141             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_ONE_ITEM_INNER_LIST[outerListKey]);
 142         }
 143         commit(modification);
 144     }
 145
 146     @Benchmark
 147     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 148     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 149     public void write100KSingleNodeWithOneInnerItemInOneCommitCursorBenchmark() throws DataValidationFailedException {
 150         final CursorAwareDataTreeModification modification = begin();
 151         try (DataTreeModificationCursor cursor = modification.createCursor(BenchmarkModel.OUTER_LIST_PATH)) {
 152             for (int outerListKey = 0; outerListKey < OUTER_LIST_100K; ++outerListKey) {
 153                 cursor.write(OUTER_LIST_IDS[outerListKey], OUTER_LIST_ONE_ITEM_INNER_LIST[outerListKey]);
 154             }
 155         }
 156         commit(modification);
 157     }
 158
 159     @Benchmark
 160     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 161     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 162     public void write100KSingleNodeWithOneInnerItemInCommitPerWriteBenchmark() throws DataValidationFailedException {
 163         for (int outerListKey = 0; outerListKey < OUTER_LIST_100K; ++outerListKey) {
 164             final DataTreeModification modification = begin();
 165             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_ONE_ITEM_INNER_LIST[outerListKey]);
 166             commit(modification);
 167         }
 168     }
 169
 170     @Benchmark
 171     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 172     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 173     public void write50KSingleNodeWithTwoInnerItemsInOneCommitBenchmark() throws DataValidationFailedException {
 174         final DataTreeModification modification = begin();
 175         for (int outerListKey = 0; outerListKey < OUTER_LIST_50K; ++outerListKey) {
 176             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_TWO_ITEM_INNER_LIST[outerListKey]);
 177         }
 178         commit(modification);
 179     }
 180
 181     @Benchmark
 182     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 183     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 184     public void write50KSingleNodeWithTwoInnerItemsInOneCommitCursorBenchmark() throws DataValidationFailedException {
 185         final CursorAwareDataTreeModification modification = begin();
 186         try (DataTreeModificationCursor cursor = modification.createCursor(BenchmarkModel.OUTER_LIST_PATH)) {
 187             for (int outerListKey = 0; outerListKey < OUTER_LIST_50K; ++outerListKey) {
 188                 cursor.write(OUTER_LIST_IDS[outerListKey], OUTER_LIST_TWO_ITEM_INNER_LIST[outerListKey]);
 189             }
 190         }
 191         commit(modification);
 192     }
 193
 194     @Benchmark
 195     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 196     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 197     public void write50KSingleNodeWithTwoInnerItemsInCommitPerWriteBenchmark() throws DataValidationFailedException {
 198         for (int outerListKey = 0; outerListKey < OUTER_LIST_50K; ++outerListKey) {
 199             final DataTreeModification modification = begin();
 200             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_TWO_ITEM_INNER_LIST[outerListKey]);
 201             commit(modification);
 202         }
 203     }
 204
 205     @Benchmark
 206     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 207     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 208     public void write10KSingleNodeWithTenInnerItemsInOneCommitBenchmark() throws DataValidationFailedException {
 209         final DataTreeModification modification = begin();
 210         for (int outerListKey = 0; outerListKey < OUTER_LIST_10K; ++outerListKey) {
 211             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_TEN_ITEM_INNER_LIST[outerListKey]);
 212         }
 213         commit(modification);
 214     }
 215
 216     @Benchmark
 217     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 218     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 219     public void write10KSingleNodeWithTenInnerItemsInOneCommitCursorBenchmark() throws DataValidationFailedException {
 220         final CursorAwareDataTreeModification modification = begin();
 221         try (DataTreeModificationCursor cursor = modification.createCursor(BenchmarkModel.OUTER_LIST_PATH)) {
 222             for (int outerListKey = 0; outerListKey < OUTER_LIST_10K; ++outerListKey) {
 223                 cursor.write(OUTER_LIST_IDS[outerListKey], OUTER_LIST_TEN_ITEM_INNER_LIST[outerListKey]);
 224             }
 225         }
 226         commit(modification);
 227     }
 228
 229     @Benchmark
 230     @Warmup(iterations = WARMUP_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 231     @Measurement(iterations = MEASUREMENT_ITERATIONS, timeUnit = TimeUnit.MILLISECONDS)
 232     public void write10KSingleNodeWithTenInnerItemsInCommitPerWriteBenchmark() throws DataValidationFailedException {
 233         for (int outerListKey = 0; outerListKey < OUTER_LIST_10K; ++outerListKey) {
 234             final DataTreeModification modification = begin();
 235             modification.write(OUTER_LIST_PATHS[outerListKey], OUTER_LIST_TEN_ITEM_INNER_LIST[outerListKey]);
 236             commit(modification);
 237         }
 238     }
 239
 240     private CursorAwareDataTreeModification begin() {
 241         return (CursorAwareDataTreeModification) datastore.takeSnapshot().newModification();
 242     }
 243
 244     private void commit(final DataTreeModification modification) throws DataValidationFailedException {
 245         modification.ready();
 246         datastore.validate(modification);
 247         datastore.commit(datastore.prepare(modification));
 248     }
 249 }