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/*
 * Copyright 2021 Hazelcast Inc.
 *
 * Licensed under the Hazelcast Community License (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://hazelcast.com/hazelcast-community-license
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.hazelcast.jet.kinesis.impl;

import java.util.Arrays;
import java.util.concurrent.ThreadLocalRandom;
import java.util.stream.Collectors;

/**
 * Kinesis Data Streams impose various limits on their operations (details
 * here).
 * For example the GetRecords operation is allowed only 5 times per
 * second, per shard. This rate could be enforced, for example, with fixed
 * delays of 200ms between starting two consecutive such operations, but then
 * we risk having all processors starting the operation at the same time on
 * all shards. It would be much better to spread out the parallel operations on
 * the shards over the time period.
 * 

* This class does exactly that. It takes a time period, it breaks it up into * N random parts and helps with walking through them in a round-robin fashion. */ public class RandomizedRateTracker { private final long[] parts; private int index; public RandomizedRateTracker(long duration, int n) { parts = init(duration, n); } public long next() { long part = parts[index++]; if (index == parts.length) { index = 0; } return part; } private static long[] init(long total, int n) { long[] parts = new long[n]; ThreadLocalRandom random = ThreadLocalRandom.current(); long base = total / n; long remaining = total; for (int i = 0; i < n - 1; i++) { long part = random.nextLong(base / 2, 3 * base / 2); remaining -= part; parts[i] = part; } parts[n - 1] = remaining; return parts; } @Override public String toString() { return Arrays.stream(parts).boxed().map(Object::toString).collect(Collectors.joining(", ")); } }





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