Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/1517#discussion_r52471181 --- Diff: flink-runtime/src/test/java/org/apache/flink/runtime/operators/hash/ReduceHashTableTest.java --- @@ -0,0 +1,501 @@ +/* + * 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.flink.runtime.operators.hash; + +import com.google.common.collect.Ordering; +import org.apache.flink.api.common.functions.ReduceFunction; +import org.apache.flink.api.common.functions.util.CopyingListCollector; +import org.apache.flink.api.common.typeutils.TypeComparator; +import org.apache.flink.api.common.typeutils.TypePairComparator; +import org.apache.flink.api.common.typeutils.TypeSerializer; +import org.apache.flink.api.common.typeutils.base.LongComparator; +import org.apache.flink.api.common.typeutils.base.LongSerializer; +import org.apache.flink.api.common.typeutils.base.StringSerializer; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.typeutils.runtime.TupleComparator; +import org.apache.flink.api.java.typeutils.runtime.TupleSerializer; +import org.apache.flink.core.memory.MemorySegment; +import org.apache.flink.core.memory.MemorySegmentFactory; +import org.apache.flink.runtime.operators.testutils.UniformStringPairGenerator; +import org.apache.flink.runtime.operators.testutils.types.*; +import org.apache.flink.util.Collector; +import org.apache.flink.util.MutableObjectIterator; +import org.junit.Test; + +import java.util.*; + +import static org.junit.Assert.*; +import static org.junit.Assert.fail; + +public class ReduceHashTableTest { + + private static final long RANDOM_SEED = 58723953465322L; + + private static final int PAGE_SIZE = 16 * 1024; + + private final TypeSerializer<Tuple2<Long, String>> serializer; + private final TypeComparator<Tuple2<Long, String>> comparator; + + private final TypeComparator<Long> probeComparator; + + private final TypePairComparator<Long, Tuple2<Long, String>> pairComparator; + + // + // ------------------ Note: This part was mostly copied from CompactingHashTableTest ------------------ + + public ReduceHashTableTest() { + TypeSerializer<?>[] fieldSerializers = { LongSerializer.INSTANCE, StringSerializer.INSTANCE }; + @SuppressWarnings("unchecked") + Class<Tuple2<Long, String>> clazz = (Class<Tuple2<Long, String>>) (Class<?>) Tuple2.class; + this.serializer = new TupleSerializer<Tuple2<Long, String>>(clazz, fieldSerializers); + + TypeComparator<?>[] comparators = { new LongComparator(true) }; + TypeSerializer<?>[] comparatorSerializers = { LongSerializer.INSTANCE }; + + this.comparator = new TupleComparator<Tuple2<Long, String>>(new int[] {0}, comparators, comparatorSerializers); + + this.probeComparator = new LongComparator(true); + + this.pairComparator = new TypePairComparator<Long, Tuple2<Long, String>>() { + + private long ref; + + @Override + public void setReference(Long reference) { + ref = reference; + } + + @Override + public boolean equalToReference(Tuple2<Long, String> candidate) { + //noinspection UnnecessaryUnboxing + return candidate.f0.longValue() == ref; + } + + @Override + public int compareToReference(Tuple2<Long, String> candidate) { + long x = ref; + long y = candidate.f0; + return (x < y) ? -1 : ((x == y) ? 0 : 1); + } + }; + } + + @Test + public void testHashTableGrowthWithInsert() { + try { + final int numElements = 1000000; + + List<MemorySegment> memory = getMemory(10000, 32 * 1024); + + // we create a hash table that thinks the records are super large. that makes it choose initially + // a lot of memory for the partition buffers, and start with a smaller hash table. that way + // we trigger a hash table growth early. + ReduceHashTable<Tuple2<Long, String>> table = new ReduceHashTable<Tuple2<Long, String>>( + serializer, comparator, memory, null, null, false); + table.open(); + + for (long i = 0; i < numElements; i++) { + table.insert(new Tuple2<Long, String>(i, String.valueOf(i))); + } + + // make sure that all elements are contained via the entry iterator + { + BitSet bitSet = new BitSet(numElements); + MutableObjectIterator<Tuple2<Long, String>> iter = table.getEntryIterator(); + Tuple2<Long, String> next; + while ((next = iter.next()) != null) { + assertNotNull(next.f0); + assertNotNull(next.f1); + assertEquals(next.f0.longValue(), Long.parseLong(next.f1)); + + bitSet.set(next.f0.intValue()); + } + + assertEquals(numElements, bitSet.cardinality()); + } + + // make sure all entries are contained via the prober + { + ReduceHashTable<Tuple2<Long, String>>.HashTableProber<Long> proper = + table.getProber(probeComparator, pairComparator); + + Tuple2<Long, String> reuse = new Tuple2<>(); + + for (long i = 0; i < numElements; i++) { + assertNotNull(proper.getMatchFor(i, reuse)); + assertNull(proper.getMatchFor(i + numElements, reuse)); + } + } + } + catch (Exception e) { + e.printStackTrace(); + fail(e.getMessage()); + } + } + + /** + * This test validates that records are not lost via "insertOrReplace()" as in bug [FLINK-2361] + */ + @Test + public void testHashTableGrowthWithInsertOrReplace() { + try { + final int numElements = 1000000; + + List<MemorySegment> memory = getMemory(1000, 32 * 1024); + + // we create a hash table that thinks the records are super large. that makes it choose initially + // a lot of memory for the partition buffers, and start with a smaller hash table. that way + // we trigger a hash table growth early. + ReduceHashTable<Tuple2<Long, String>> table = new ReduceHashTable<Tuple2<Long, String>>( + serializer, comparator, memory, null, null, false); + table.open(); + + for (long i = 0; i < numElements; i++) { + table.insertOrReplaceRecord(new Tuple2<Long, String>(i, String.valueOf(i))); + } + + // make sure that all elements are contained via the entry iterator + { + BitSet bitSet = new BitSet(numElements); + MutableObjectIterator<Tuple2<Long, String>> iter = table.getEntryIterator(); + Tuple2<Long, String> next; + while ((next = iter.next()) != null) { + assertNotNull(next.f0); + assertNotNull(next.f1); + assertEquals(next.f0.longValue(), Long.parseLong(next.f1)); + + bitSet.set(next.f0.intValue()); + } + + assertEquals(numElements, bitSet.cardinality()); + } + + // make sure all entries are contained via the prober + { + ReduceHashTable<Tuple2<Long, String>>.HashTableProber<Long> proper = + table.getProber(probeComparator, pairComparator); + + Tuple2<Long, String> reuse = new Tuple2<>(); + + for (long i = 0; i < numElements; i++) { + assertNotNull(proper.getMatchFor(i, reuse)); + assertNull(proper.getMatchFor(i + numElements, reuse)); + } + } + + } + catch (Exception e) { + e.printStackTrace(); + fail(e.getMessage()); + } + } + + /** + * This test validates that new inserts (rather than updates) in "insertOrReplace()" properly + * react to out of memory conditions. + * + * Btw. this also tests the situation, when records are larger than one memory segment. + */ + @Test + public void testInsertsWithInsertOrReplace() { --- End diff -- Thanks!
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. ---