com.azure.cosmos.implementation.throughputControl.ThroughputRequestThrottler Maven / Gradle / Ivy

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This Package contains Microsoft Azure Cosmos SDK (with Reactive Extension Reactor support) for Azure Cosmos DB SQL API
There is a newer version: 4.61.1
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

package com.azure.cosmos.implementation.throughputControl;

import com.azure.cosmos.BridgeInternal;
import com.azure.cosmos.CosmosException;
import com.azure.cosmos.implementation.HttpConstants;
import com.azure.cosmos.implementation.OperationType;
import com.azure.cosmos.implementation.RequestRateTooLargeException;
import com.azure.cosmos.implementation.ResourceType;
import com.azure.cosmos.implementation.RxDocumentServiceRequest;
import com.azure.cosmos.implementation.RxDocumentServiceResponse;
import com.azure.cosmos.implementation.Utils;
import com.azure.cosmos.implementation.apachecommons.lang.StringUtils;
import com.azure.cosmos.implementation.directconnectivity.StoreResponse;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import reactor.core.Exceptions;
import reactor.core.publisher.Mono;

import java.util.UUID;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.ReentrantReadWriteLock;

/**
 * This is the place where we tracking the RU usage, and make decision whether we should block the request.
 */
public class ThroughputRequestThrottler {
    private static final Logger logger = LoggerFactory.getLogger(ThroughputRequestThrottler.class);

    private final AtomicReference availableThroughput;
    private final AtomicReference scheduledThroughput;
    private final ReentrantReadWriteLock.WriteLock throughputWriteLock;
    private final ReentrantReadWriteLock.ReadLock throughputReadLock;
    private final ConcurrentHashMap trackingDictionary;
    private final String pkRangeId;
    private String cycleId;

    public ThroughputRequestThrottler(double scheduledThroughput, String pkRangeId) {
        this.availableThroughput = new AtomicReference<>(scheduledThroughput);
        this.scheduledThroughput = new AtomicReference<>(scheduledThroughput);
        ReentrantReadWriteLock throughputReadWriteLock = new ReentrantReadWriteLock();
        this.throughputWriteLock = throughputReadWriteLock.writeLock();
        this.throughputReadLock = throughputReadWriteLock.readLock();

        this.trackingDictionary = new ConcurrentHashMap<>();
        this.cycleId = UUID.randomUUID().toString();
        this.pkRangeId = pkRangeId;
    }

    public double renewThroughputUsageCycle(double scheduledThroughput) {
        try {
            this.throughputWriteLock.lock();
            double throughputUsagePercentage = (this.scheduledThroughput.get() - this.availableThroughput.get()) / this.scheduledThroughput.get();
            this.scheduledThroughput.set(scheduledThroughput);
            this.updateAvailableThroughput();

            if (throughputUsagePercentage > 0) {
                logger.debug(
                    "[CycleId: {}, pkRangeId: {}, ruUsagePercentage: {}]",
                    this.cycleId, this.pkRangeId, throughputUsagePercentage);
            }

            String newCycleId = UUID.randomUUID().toString();
            for (ThroughputControlTrackingUnit trackingUnit : this.trackingDictionary.values()) {
                trackingUnit.reset(newCycleId);
            }
            this.cycleId = newCycleId;
            return throughputUsagePercentage;
        } finally {
            this.throughputWriteLock.unlock();
        }
    }

    private void updateAvailableThroughput() {
        // The base rule is: If RU is overused during the current cycle, the over used part will be deducted from the next cyclle
        // If RU is not fully utilized during the current cycle, it will be voided.
        this.availableThroughput.getAndAccumulate(this.scheduledThroughput.get(), (available, refill) -> Math.min(available,0) + refill);
    }

    public  Mono processRequest(RxDocumentServiceRequest request, Mono originalRequestMono) {
        try {
            this.throughputReadLock.lock();
            ThroughputControlTrackingUnit trackingUnit =
                this.trackingDictionary.compute(request.getOperationType(), ((key, value) -> {
                    if (value == null) {
                        value = new ThroughputControlTrackingUnit(request.getOperationType(), this.cycleId);
                    }
                    return value;
                }));

            if (this.availableThroughput.get() > 0) {
                if (StringUtils.isEmpty(request.requestContext.throughputControlCycleId)) {
                    request.requestContext.throughputControlCycleId = this.cycleId;
                }

                trackingUnit.increasePassedRequest();
                return originalRequestMono
                    .doOnSuccess(response -> this.trackRequestCharge(request, response))
                    .doOnError(throwable -> this.trackRequestCharge(request, throwable));
            } else {
                trackingUnit.increaseRejectedRequest();

                // there is no enough throughput left, block request
                RequestRateTooLargeException requestRateTooLargeException = new RequestRateTooLargeException();

                int backoffTimeInMilliSeconds = (int)Math.ceil(Math.abs(this.availableThroughput.get() / this.scheduledThroughput.get())) * 1000;

                requestRateTooLargeException.getResponseHeaders().put(
                    HttpConstants.HttpHeaders.RETRY_AFTER_IN_MILLISECONDS,
                    String.valueOf(backoffTimeInMilliSeconds));

                if (isBulkRequest(request)) {
                    // For batch requests the BulkExecutor
                    requestRateTooLargeException.getResponseHeaders().put(
                        HttpConstants.HttpHeaders.SUB_STATUS,
                        String.valueOf(HttpConstants.SubStatusCodes.THROUGHPUT_CONTROL_BULK_REQUEST_RATE_TOO_LARGE));
                } else {
                    requestRateTooLargeException.getResponseHeaders().put(
                        HttpConstants.HttpHeaders.SUB_STATUS,
                        String.valueOf(HttpConstants.SubStatusCodes.THROUGHPUT_CONTROL_REQUEST_RATE_TOO_LARGE));
                }

                if (request.requestContext != null) {
                    BridgeInternal.setResourceAddress(requestRateTooLargeException, request.requestContext.resourcePhysicalAddress);
                }

                return Mono.error(requestRateTooLargeException);
            }
        } finally {
            this.throughputReadLock.unlock();
        }
    }

    private static boolean isBulkRequest(RxDocumentServiceRequest request) {
        if (request.getOperationType() != OperationType.Batch ||
            request.getResourceType() != ResourceType.Document) {

            return false;
        }

        String isAtomicBatch = request.getHeaders().get(HttpConstants.HttpHeaders.IS_BATCH_ATOMIC);
        if(StringUtils.isEmpty(isAtomicBatch)) {
            return true;
        } else {
            return !isAtomicBatch.equalsIgnoreCase(Boolean.TRUE.toString());
        }
    }

    private  void trackRequestCharge (RxDocumentServiceRequest request, T response) {
        try {
            // Read lock is enough here.
            this.throughputReadLock.lock();
            double requestCharge = 0;
            boolean failedRequest = false;
            if (response instanceof StoreResponse) {
                requestCharge = ((StoreResponse)response).getRequestCharge();
            } else if (response instanceof RxDocumentServiceResponse) {
                requestCharge = ((RxDocumentServiceResponse)response).getRequestCharge();
            } else if (response instanceof Throwable) {
                CosmosException cosmosException = Utils.as(Exceptions.unwrap((Throwable) response), CosmosException.class);
                if (cosmosException != null) {
                    requestCharge = cosmosException.getRequestCharge();
                    failedRequest = true;
                }
            }

            ThroughputControlTrackingUnit trackingUnit = trackingDictionary.get(request.getOperationType());
            if (trackingUnit != null) {
                if (failedRequest) {
                    trackingUnit.increaseFailedResponse();
                } else {
                    trackingUnit.increaseSuccessResponse();
                    trackingUnit.trackRRuUsage(requestCharge);
                }
            }

            // If the response comes back in a different cycle, discard it.
            if (StringUtils.equals(this.cycleId, request.requestContext.throughputControlCycleId)) {
                this.availableThroughput.getAndAccumulate(requestCharge, (available, consumed) -> available - consumed);
            } else {
                if (trackingUnit != null) {
                    trackingUnit.increaseOutOfCycleResponse();
                }
            }
        } finally {
            this.throughputReadLock.unlock();
        }
    }

    public double getAvailableThroughput() {
        return this.availableThroughput.get();
    }

    public double getScheduledThroughput() {
        return this.scheduledThroughput.get();
    }
}