dawidwys commented on a change in pull request #13550:
URL: https://github.com/apache/flink/pull/13550#discussion_r502368225
##########
File path:
flink-state-backends/flink-statebackend-rocksdb/src/test/java/org/apache/flink/contrib/streaming/state/benchmark/StateBackendBenchmarkUtils.java
##########
@@ -74,6 +75,24 @@
case ROCKSDB:
rootDir = prepareDirectory(rootDirName, null);
return createRocksDBKeyedStateBackend(rootDir);
+ case SINGLE_KEY:
+ try {
+ return new
SingleKeyStateBackend().createKeyedStateBackend(
Review comment:
Actually I did it and forgot to force push :facepalm:
##########
File path:
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/sorted/state/SingleKeyKeyedStateBackend.java
##########
@@ -0,0 +1,260 @@
+/*
+ * 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.streaming.api.operators.sorted.state;
+
+import org.apache.flink.api.common.ExecutionConfig;
+import org.apache.flink.api.common.state.AggregatingStateDescriptor;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.state.MapStateDescriptor;
+import org.apache.flink.api.common.state.ReducingStateDescriptor;
+import org.apache.flink.api.common.state.State;
+import org.apache.flink.api.common.state.StateDescriptor;
+import org.apache.flink.api.common.state.ValueStateDescriptor;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.runtime.checkpoint.CheckpointOptions;
+import org.apache.flink.runtime.state.CheckpointStreamFactory;
+import org.apache.flink.runtime.state.CheckpointableKeyedStateBackend;
+import org.apache.flink.runtime.state.KeyGroupRange;
+import org.apache.flink.runtime.state.KeyGroupedInternalPriorityQueue;
+import org.apache.flink.runtime.state.Keyed;
+import org.apache.flink.runtime.state.KeyedStateFunction;
+import org.apache.flink.runtime.state.KeyedStateHandle;
+import org.apache.flink.runtime.state.PriorityComparable;
+import org.apache.flink.runtime.state.PriorityComparator;
+import org.apache.flink.runtime.state.SnapshotResult;
+import org.apache.flink.runtime.state.StateSnapshotTransformer;
+import org.apache.flink.runtime.state.heap.HeapPriorityQueueElement;
+import org.apache.flink.runtime.state.internal.InternalKvState;
+import org.apache.flink.util.FlinkRuntimeException;
+
+import javax.annotation.Nonnull;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.concurrent.RunnableFuture;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * A simple {@link CheckpointableKeyedStateBackend} which keeps values for a
single key at a time.
+ *
+ * <p><b>IMPORTANT:</b> Requires the incoming records to be sorted/grouped by
the key. Used in a BATCH style execution.
+ */
+class SingleKeyKeyedStateBackend<K> implements
CheckpointableKeyedStateBackend<K> {
+ @SuppressWarnings("rawtypes")
+ private static final Map<Class<? extends StateDescriptor>,
StateFactory> STATE_FACTORIES =
+ Stream.of(
+ Tuple2.of(ValueStateDescriptor.class, (StateFactory)
SingleKeyValueState::create),
+ Tuple2.of(ListStateDescriptor.class, (StateFactory)
SingleKeyListState::create),
+ Tuple2.of(MapStateDescriptor.class, (StateFactory)
SingleKeyMapState::create),
+ Tuple2.of(AggregatingStateDescriptor.class,
(StateFactory) SingleKeyAggregatingState::create),
+ Tuple2.of(ReducingStateDescriptor.class, (StateFactory)
SingleKeyReducingState::create)
+ ).collect(Collectors.toMap(t -> t.f0, t -> t.f1));
+
+ private K currentKey = null;
+ private final TypeSerializer<K> keySerializer;
+ private final List<KeySelectionListener<K>> keySelectionListeners = new
ArrayList<>();
+ private final Map<String, State> states = new HashMap<>();
+ private final Map<String, KeyGroupedInternalPriorityQueue<?>>
priorityQueues = new HashMap<>();
+ private final KeyGroupRange keyGroupRange;
+
+ public SingleKeyKeyedStateBackend(
+ TypeSerializer<K> keySerializer,
+ KeyGroupRange keyGroupRange) {
+ this.keySerializer = keySerializer;
+ this.keyGroupRange = keyGroupRange;
+ }
+
+ @Override
+ public void setCurrentKey(K newKey) {
+ if (!Objects.equals(newKey, currentKey)) {
+ notifyKeySelected(newKey);
+ for (State value : states.values()) {
+ ((AbstractSingleKeyState<?, ?, ?>)
value).clearAllNamespaces();
+ }
+ for (KeyGroupedInternalPriorityQueue<?> value :
priorityQueues.values()) {
+ while (value.poll() != null) {
+ // remove everything for the key
+ }
+ }
+ this.currentKey = newKey;
+ }
+ }
+
+ @Override
+ public K getCurrentKey() {
+ return currentKey;
+ }
+
+ @Override
+ public TypeSerializer<K> getKeySerializer() {
+ return keySerializer;
+ }
+
+ @Override
+ public <N, S extends State, T> void applyToAllKeys(
+ N namespace,
+ TypeSerializer<N> namespaceSerializer,
+ StateDescriptor<S, T> stateDescriptor,
+ KeyedStateFunction<K, S> function) {
+ throw new UnsupportedOperationException("applyToAllKeys() is
not supported in BATCH execution mode.");
Review comment:
Personally I can't think of other scenarios...
##########
File path:
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/sorted/state/SingleKeyKeyGroupedInternalPriorityQueue.java
##########
@@ -0,0 +1,78 @@
+/*
+ * 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.streaming.api.operators.sorted.state;
+
+import org.apache.flink.runtime.state.KeyGroupedInternalPriorityQueue;
+import org.apache.flink.runtime.state.PriorityComparator;
+import org.apache.flink.runtime.state.heap.HeapPriorityQueue;
+import org.apache.flink.runtime.state.heap.HeapPriorityQueueElement;
+
+import javax.annotation.Nonnull;
+import javax.annotation.Nullable;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Set;
+
+/**
+ * Very similar implementation to {@link
org.apache.flink.runtime.state.heap.HeapPriorityQueueSet}. The only difference
+ * is it keeps track of elements for a single key at a time.
+ */
+class SingleKeyKeyGroupedInternalPriorityQueue<T extends
HeapPriorityQueueElement>
+ extends HeapPriorityQueue<T>
+ implements KeyGroupedInternalPriorityQueue<T> {
+
+ private final Map<T, T> dedupMap = new HashMap<>();
Review comment:
Good question.
The reason is that we actually always use the `*PriorityQueue` as a `Set`.
We use the `PriorityQueue` for storing timers and that's why we need Set
semantics. We want to fire only a single timer for a timestamp. BTW, the logic
is copied over from the `HeapPriorityQueueSet`.
However to better address it I will rename the class to
`BatchExecutionInternalPriorityQueueSet`.
##########
File path:
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/operators/sorted/state/SingleKeyKeyedStateBackend.java
##########
@@ -0,0 +1,260 @@
+/*
+ * 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.streaming.api.operators.sorted.state;
+
+import org.apache.flink.api.common.ExecutionConfig;
+import org.apache.flink.api.common.state.AggregatingStateDescriptor;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.state.MapStateDescriptor;
+import org.apache.flink.api.common.state.ReducingStateDescriptor;
+import org.apache.flink.api.common.state.State;
+import org.apache.flink.api.common.state.StateDescriptor;
+import org.apache.flink.api.common.state.ValueStateDescriptor;
+import org.apache.flink.api.common.typeutils.TypeSerializer;
+import org.apache.flink.api.java.tuple.Tuple2;
+import org.apache.flink.runtime.checkpoint.CheckpointOptions;
+import org.apache.flink.runtime.state.CheckpointStreamFactory;
+import org.apache.flink.runtime.state.CheckpointableKeyedStateBackend;
+import org.apache.flink.runtime.state.KeyGroupRange;
+import org.apache.flink.runtime.state.KeyGroupedInternalPriorityQueue;
+import org.apache.flink.runtime.state.Keyed;
+import org.apache.flink.runtime.state.KeyedStateFunction;
+import org.apache.flink.runtime.state.KeyedStateHandle;
+import org.apache.flink.runtime.state.PriorityComparable;
+import org.apache.flink.runtime.state.PriorityComparator;
+import org.apache.flink.runtime.state.SnapshotResult;
+import org.apache.flink.runtime.state.StateSnapshotTransformer;
+import org.apache.flink.runtime.state.heap.HeapPriorityQueueElement;
+import org.apache.flink.runtime.state.internal.InternalKvState;
+import org.apache.flink.util.FlinkRuntimeException;
+
+import javax.annotation.Nonnull;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.concurrent.RunnableFuture;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * A simple {@link CheckpointableKeyedStateBackend} which keeps values for a
single key at a time.
+ *
+ * <p><b>IMPORTANT:</b> Requires the incoming records to be sorted/grouped by
the key. Used in a BATCH style execution.
+ */
+class SingleKeyKeyedStateBackend<K> implements
CheckpointableKeyedStateBackend<K> {
+ @SuppressWarnings("rawtypes")
+ private static final Map<Class<? extends StateDescriptor>,
StateFactory> STATE_FACTORIES =
+ Stream.of(
+ Tuple2.of(ValueStateDescriptor.class, (StateFactory)
SingleKeyValueState::create),
+ Tuple2.of(ListStateDescriptor.class, (StateFactory)
SingleKeyListState::create),
+ Tuple2.of(MapStateDescriptor.class, (StateFactory)
SingleKeyMapState::create),
+ Tuple2.of(AggregatingStateDescriptor.class,
(StateFactory) SingleKeyAggregatingState::create),
+ Tuple2.of(ReducingStateDescriptor.class, (StateFactory)
SingleKeyReducingState::create)
+ ).collect(Collectors.toMap(t -> t.f0, t -> t.f1));
+
+ private K currentKey = null;
+ private final TypeSerializer<K> keySerializer;
+ private final List<KeySelectionListener<K>> keySelectionListeners = new
ArrayList<>();
+ private final Map<String, State> states = new HashMap<>();
+ private final Map<String, KeyGroupedInternalPriorityQueue<?>>
priorityQueues = new HashMap<>();
+ private final KeyGroupRange keyGroupRange;
+
+ public SingleKeyKeyedStateBackend(
+ TypeSerializer<K> keySerializer,
+ KeyGroupRange keyGroupRange) {
+ this.keySerializer = keySerializer;
+ this.keyGroupRange = keyGroupRange;
+ }
+
+ @Override
+ public void setCurrentKey(K newKey) {
+ if (!Objects.equals(newKey, currentKey)) {
+ notifyKeySelected(newKey);
+ for (State value : states.values()) {
+ ((AbstractSingleKeyState<?, ?, ?>)
value).clearAllNamespaces();
+ }
+ for (KeyGroupedInternalPriorityQueue<?> value :
priorityQueues.values()) {
+ while (value.poll() != null) {
+ // remove everything for the key
+ }
+ }
+ this.currentKey = newKey;
+ }
+ }
+
+ @Override
+ public K getCurrentKey() {
+ return currentKey;
+ }
+
+ @Override
+ public TypeSerializer<K> getKeySerializer() {
+ return keySerializer;
+ }
+
+ @Override
+ public <N, S extends State, T> void applyToAllKeys(
+ N namespace,
+ TypeSerializer<N> namespaceSerializer,
+ StateDescriptor<S, T> stateDescriptor,
+ KeyedStateFunction<K, S> function) {
+ throw new UnsupportedOperationException("applyToAllKeys() is
not supported in BATCH execution mode.");
Review comment:
Will rename the classes.
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