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GroupToScalar.java
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/*
* Copyright 2019 Netflix, Inc.
*
* Licensed 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 io.mantisrx.runtime;
import io.mantisrx.common.codec.Codec;
import io.mantisrx.common.codec.Codecs;
import io.mantisrx.runtime.computation.GroupToScalarComputation;
import io.mantisrx.runtime.parameter.ParameterDefinition;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.TimeUnit;
/**
* Alternative to ToScalar which expects GroupedObservables as input.
* This computation should be used instead of ToScalar for high cardinality, high volume
* data.
*
* @param <K> Type of the key
* @param <T> Type of the value
* @param <R> The transformed value
*
* @author njoshi
*/
public class GroupToScalar<K, T, R> extends StageConfig<T, R> {
private final GroupToScalarComputation<K, T, R> computation;
private final long keyExpireTimeSeconds;
/**
* @deprecated As of release 0.603, use {@link #GroupToScalar(GroupToScalarComputation, Config, Codec)} instead
*/
GroupToScalar(GroupToScalarComputation<K, T, R> computation,
Config<K, T, R> config, final io.reactivex.netty.codec.Codec<T> inputCodec) {
this(computation, config, NettyCodec.fromNetty(inputCodec));
}
GroupToScalar(GroupToScalarComputation<K, T, R> computation,
Config<K, T, R> config, Codec<T> inputCodec) {
this(computation, config, (Codec<K>) Codecs.string(), inputCodec);
}
GroupToScalar(GroupToScalarComputation<K, T, R> computation,
Config<K, T, R> config, Codec<K> inputKeyCodec, Codec<T> inputCodec) {
super(config.description, inputKeyCodec, inputCodec, config.codec, config.inputStrategy, config.parameters, config.concurrency, config.bufferSize);
this.computation = computation;
this.keyExpireTimeSeconds = config.keyExpireTimeSeconds;
}
public GroupToScalarComputation<K, T, R> getComputation() {
return computation;
}
public long getKeyExpireTimeSeconds() {
return keyExpireTimeSeconds;
}
public static class Config<K, T, R> {
private Codec<R> codec;
private String description;
private long keyExpireTimeSeconds = TimeUnit.HOURS.toSeconds(1); // 1 hour default
// default input type is serial for
// 'stateful group calculation' use case
// do not allow config override
private INPUT_STRATEGY inputStrategy = INPUT_STRATEGY.SERIAL;
private int concurrency = DEFAULT_STAGE_CONCURRENCY;
private int bufferSize = rx.internal.util.RxRingBuffer.SIZE;
private List<ParameterDefinition<?>> parameters = Collections.emptyList();
/**
* @param codec is netty reactivex Codec
*
* @return Config
*
* @deprecated As of release 0.603, use {@link #codec(io.mantisrx.common.codec.Codec)} instead
*/
public Config<K, T, R> codec(final io.reactivex.netty.codec.Codec<R> codec) {
this.codec = NettyCodec.fromNetty(codec);
return this;
}
public Config<K, T, R> codec(Codec<R> codec) {
this.codec = codec;
return this;
}
/**
* Not used. As we are not generating GroupedObservables
*
* @param seconds is a long
*
* @return Config
*/
public Config<K, T, R> keyExpireTimeSeconds(long seconds) {
this.keyExpireTimeSeconds = seconds;
return this;
}
public Config<K, T, R> description(String description) {
this.description = description;
return this;
}
public Config<K, T, R> concurrentInput() {
this.inputStrategy = INPUT_STRATEGY.CONCURRENT;
return this;
}
public Config<K, T, R> concurrentInput(final int concurrency) {
this.inputStrategy = INPUT_STRATEGY.CONCURRENT;
this.concurrency = concurrency;
return this;
}
public Codec<R> getCodec() {
return codec;
}
public String getDescription() {
return description;
}
public long getKeyExpireTimeSeconds() {
return keyExpireTimeSeconds;
}
public INPUT_STRATEGY getInputStrategy() {
return inputStrategy;
}
public int getConcurrency() { return concurrency; }
public Config<K, T, R> withParameters(List<ParameterDefinition<?>> params) {
this.parameters = params;
return this;
}
public Config<K, T, R> bufferSize(int bufferSize) {
this.bufferSize = bufferSize;
return this;
}
public int getBufferSize() {
return bufferSize;
}
}
}