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EMR DynamoDB Hadoop Connector
/**
* Copyright 2012-2016 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file
* except in compliance with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "LICENSE.TXT" file accompanying this file. This file 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.hadoop.dynamodb.preader;
import com.amazonaws.services.dynamodbv2.model.AttributeValue;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.dynamodb.DynamoDBConstants;
import org.apache.hadoop.dynamodb.util.AbstractTimeSource;
import java.util.ArrayList;
import java.util.Deque;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ConcurrentLinkedDeque;
import java.util.concurrent.atomic.AtomicInteger;
/**
* The ReadManager is responsible for deciding the required number of ReadWorkers to achieve the
* target throughput rate. It will keep track of RCUs achieved and increase or decrease the worker
* count as necessary.
*/
public abstract class AbstractReadManager {
protected static final Log log = LogFactory.getLog(AbstractReadManager.class);
// This defines the lower bound of what we try to stay within. Not the same
// as RateController.MIN_RCU_PER_REQ which defines the absolute smallest
// request we are willing to make.
private static final int MIN_RCU_PER_REQ = 2;
private static final int MIN_WORKER_COUNT = 1;
private static final int MAX_WORKER_COUNT = 30;
private static final int INITIAL_WORKER_COUNT = MIN_WORKER_COUNT;
private static final int EVALUATION_FREQ_MS = DynamoDBConstants.RATE_CONTROLLER_WINDOW_SIZE_SEC
* 1000;
protected final DynamoDBRecordReaderContext context;
protected final RateController rateController;
protected final AbstractTimeSource time;
// In the query case, there is only one read quest.
protected final Deque readRequestQueue = new ConcurrentLinkedDeque<>();
protected final AtomicInteger segmentsRemaining = new AtomicInteger(0);
protected final Queue workers = new ArrayBlockingQueue<>(MAX_WORKER_COUNT);
private final List reportedStats = new ArrayList<>();
private final Object reportStatsLock = new Object();
private final PageResultMultiplexer> pageMux;
private long lastEvaluatedTimeNano;
public AbstractReadManager(RateController rateController, AbstractTimeSource time,
DynamoDBRecordReaderContext context) {
this.context = context;
this.rateController = rateController;
this.time = time;
this.lastEvaluatedTimeNano = time.getNanoTime();
this.pageMux = context.getPageResultMultiplexer();
initializeReadRequests();
for (int i = 0; i < INITIAL_WORKER_COUNT; i++) {
addWorker();
}
}
public void enqueueReadRequestToTail(AbstractRecordReadRequest req) {
readRequestQueue.addLast(req);
}
public void enqueueReadRequestToHead(AbstractRecordReadRequest req) {
readRequestQueue.addFirst(req);
}
public AbstractRecordReadRequest dequeueReadRequest() {
return readRequestQueue.poll();
}
/**
* @param permittedReadUnits How many RCU the worker was allocated by the rate controller
* @param consumedReadUnits How many RCU the worker actually consumed
* @param items Items returned
* @param retries Number of throttles
*/
public void report(double permittedReadUnits, double consumedReadUnits, int items, int retries) {
rateController.adjust(permittedReadUnits, consumedReadUnits, items);
boolean addWorker = false;
boolean removeWorker = false;
synchronized (reportStatsLock) {
reportedStats.add(new Report(consumedReadUnits, items, retries));
long deltaMs = time.getTimeSinceMs(lastEvaluatedTimeNano);
if (deltaMs < EVALUATION_FREQ_MS) {
return;
}
int reportCount = reportedStats.size();
if (reportCount == 0) {
return;
}
// Compute statistics
Report sum = getReportedSum();
double rcuPerRequest = sum.readUnits / reportCount;
double rcuPerSecond = (sum.readUnits * 1000) / deltaMs;
recordEvaluationStats(reportCount, rcuPerRequest, rcuPerSecond);
// Remove a worker if we're achieving our throughput with very low
// iops requests. There's benefit in doing slightly larger requests.
if (rcuPerRequest < MIN_RCU_PER_REQ && rcuPerSecond * 1.1 > rateController.getTargetRate()) {
removeWorker = true;
} else if (rcuPerSecond * 1.1 <= rateController.getTargetRate()) {
if (sum.retries > 0) {
log.warn("Not achieving throughput, but not adding workers due to retries (throttles or"
+ " 500s) (cnt=" + sum.retries + ")");
// Add a worker if we're not achieving our throughput and getting no throttles/retries.
} else {
addWorker = true;
}
}
reportedStats.clear();
lastEvaluatedTimeNano = time.getNanoTime();
}
if (removeWorker) {
log.info("Removing a worker");
removeWorker();
} else if (addWorker) {
log.info("Adding a worker");
addWorker();
}
}
/**
* Called by read worker/read request once a segment has been fully read.
*
* @param segment the segment to be marked as completed
*/
void markSegmentComplete(int segment) {
int remaining = segmentsRemaining.decrementAndGet();
log.info("Segment " + segment + " complete. Remaining segments: " + remaining);
if (remaining == 0) {
// signal the multiplexer that it should start draining pages.
pageMux.setDraining(true);
// signal read manager that we're done
shutdown();
}
}
/**
* Signal workers to stop work. Note that this does not block and wait for them to complete. If
* they have pending work they may still push work to the multiplexer.
*/
public void shutdown() {
if (segmentsRemaining.get() > 0) {
log.warn("Shutting down ReadManager while there are segments remaining.");
} else {
log.info("Shutting down record reader, no segments remaining.");
}
while (workers.size() > 0) {
removeWorker(true /* force */);
}
}
protected abstract void initializeReadRequests();
protected void recordEvaluationStats(int reportCnt, double rcuPerRequest, double rcuPerSecond) {
log.info("Evaluating rcuPerRequest=" + rcuPerRequest + ", rcuPerSecond=" + rcuPerSecond + ", "
+ "reportCnt=" + reportCnt + ", workers=" + workers.size());
}
protected void addWorker() {
ReadWorker worker = new ReadWorker(this, context.getReporter());
if (workers.offer(worker)) {
worker.start();
} else {
log.info("Can't increase worker count, already at max worker count");
}
}
protected void removeWorker() {
removeWorker(false /* force */);
}
private void removeWorker(boolean force) {
if (!force && workers.size() <= MIN_WORKER_COUNT) {
log.info("Can't reduce worker count, already at min worker count");
} else {
ReadWorker worker = workers.poll();
if (worker != null) {
worker.setAlive(false);
}
}
}
private Report getReportedSum() {
double readUnits = 0;
int items = 0;
int retries = 0;
for (Report r : reportedStats) {
readUnits += r.readUnits;
items += r.items;
retries += r.retries;
}
return new Report(readUnits, items, retries);
}
private static class Report {
public final double readUnits;
public final int items;
public final int retries;
public Report(double readUnits, int items, int retries) {
this.readUnits = readUnits;
this.items = items;
this.retries = retries;
}
}
}
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