blob: 05c46996f7b37a29229c81f9b43271af3af1d9e4 [file] [log] [blame]
/*
* 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.iteration.utils;
import org.apache.flink.core.memory.ManagedMemoryUseCase;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.table.api.TableException;
import java.util.Optional;
/** Provides utility functions for {@link DataStream}. */
public class DataStreamUtils {
/**
* Sets {Transformation#declareManagedMemoryUseCaseAtOperatorScope(ManagedMemoryUseCase, int)}
* using the given bytes for {@link ManagedMemoryUseCase#OPERATOR}.
*
* <p>This method is in reference to Flink's ExecNodeUtil.setManagedMemoryWeight. The provided
* bytes should be in the same scale as existing usage in Flink, for example,
* StreamExecWindowAggregate.WINDOW_AGG_MEMORY_RATIO.
*/
public static <T> void setManagedMemoryWeight(DataStream<T> dataStream, long memoryBytes) {
if (memoryBytes > 0) {
final int weightInMebibyte = Math.max(1, (int) (memoryBytes >> 20));
final Optional<Integer> previousWeight =
dataStream
.getTransformation()
.declareManagedMemoryUseCaseAtOperatorScope(
ManagedMemoryUseCase.OPERATOR, weightInMebibyte);
if (previousWeight.isPresent()) {
throw new TableException(
"Managed memory weight has been set, this should not happen.");
}
}
}
}