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/*
* Copyright (c) 2023 MarkLogic Corporation
*
* 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 com.marklogic.contentpump;
import com.marklogic.xcc.*;
import com.marklogic.xcc.exceptions.MLCloudRequestException;
import com.marklogic.xcc.exceptions.RequestException;
import com.marklogic.xcc.exceptions.ServerConnectionException;
import com.marklogic.xcc.types.XSInteger;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.*;
import org.apache.commons.cli.CommandLine;
import java.io.IOException;
import java.util.*;
import java.util.concurrent.*;
import com.marklogic.contentpump.LocalJobRunner.LocalMapTask;
import com.marklogic.mapreduce.MarkLogicConstants;
import com.marklogic.mapreduce.utilities.InternalUtilities;
/**
* Manages client side concurrency based on available server threads
*
* @author vzhang
*/
public class ThreadManager implements ConfigConstants {
public static final Log LOG = LogFactory.getLog(ThreadManager.class);
public static final String SERVER_MAX_THREADS_QUERY =
"import module namespace hadoop = " +
"\"http://marklogic.com/xdmp/hadoop\" at \"/MarkLogic/hadoop.xqy\";\n" +
"let $f := " +
"fn:function-lookup(xs:QName('hadoop:get-port-max-threads'),0)\n" +
"return if (exists($f)) then $f() else 0";
private LocalJob job;
private Command cmd;
private Configuration conf;
private final ScheduledExecutorService scheduler;
private ThreadPoolExecutor pool;
private List taskList = new ArrayList<>();
private List> taskFutureList = new ArrayList<>();
// minimally required thread per task defined by the job
private int minThreads = 1;
private int curServerThreads;
// Number of threads in the thread pool that finish running a LocalMapTask
private int idleServerThreads;
// An array of indexes for storing random splitIndexes
private List randomIndexes = new ArrayList<>();
/**
* Variables set by checkOutputFormat
*/
private int newServerThreads;
// Whether mlcp is running against a load balancer
private boolean restrictHosts = false;
/**
* Command line options
*/
private int threadCount;
private int threadsPerSplit;
private int maxThreads;
private double maxThreadPercentage = 1;
private int pollingInitDelay = 1;
private int pollingPeriod = 1;
public ThreadManager(LocalJob job) {
this.job = job;
this.conf = job.getConfiguration();
this.minThreads = conf.getInt(CONF_MIN_THREADS, minThreads);
this.scheduler = Executors.newScheduledThreadPool(1);
}
/**
* Parse command line options
* @param cmdline
* @param cmd
*/
public void parseCmdlineOptions(CommandLine cmdline, Command cmd) {
this.cmd = cmd;
// Parse command line options
if (cmdline.hasOption(THREAD_COUNT)) {
threadCount = Integer.parseInt(
cmdline.getOptionValue(THREAD_COUNT));
}
if (cmdline.hasOption(THREADS_PER_SPLIT)) {
threadsPerSplit = Integer.parseInt(
cmdline.getOptionValue(THREADS_PER_SPLIT));
}
if (cmdline.hasOption(MAX_THREADS)) {
maxThreads = Integer.parseInt(
cmdline.getOptionValue(MAX_THREADS));
}
if (cmdline.hasOption(MAX_THREAD_PERCENTAGE)) {
maxThreadPercentage = ((double)Integer.parseInt(
cmdline.getOptionValue(MAX_THREAD_PERCENTAGE))) / 100;
}
if (cmdline.hasOption(POLLING_INIT_DELAY)) {
pollingInitDelay = Integer.parseInt(
cmdline.getOptionValue(POLLING_INIT_DELAY));
}
if (cmdline.hasOption(POLLING_PERIOD)) {
pollingPeriod = Integer.parseInt(
cmdline.getOptionValue(POLLING_PERIOD));
}
}
/**
* Query the server stack to get the maximum available thread count.
* @param cs
* @throws RequestException
*/
public void queryServerMaxThreads(ContentSource cs) throws RequestException {
if (threadCount != 0) {
newServerThreads = threadCount;
return;
}
Session session = null;
ResultSequence result = null;
try {
session = cs.newSession();
AdhocQuery query = session.newAdhocQuery(SERVER_MAX_THREADS_QUERY);
RequestOptions options = new RequestOptions();
options.setDefaultXQueryVersion("1.0-ml");
query.setOptions(options);
result = session.submitRequest(query);
if (result.hasNext()) {
ResultItem item = result.next();
newServerThreads = (int)(maxThreadPercentage *
((XSInteger)item.getItem()).asPrimitiveInt());
} else {
throw new IllegalStateException(
"Failed to query server max threads");
}
} finally {
if (result != null) {
result.close();
}
if (session != null) {
session.close();
}
}
}
/**
* Schedule thread polling tasks.
*/
public void runThreadPoller() {
// Use scheduleWithFixedDelay instead of scheduleAtFixedRate to
// guarantee that the previous task has completed.
final ScheduledFuture handler =
scheduler.scheduleWithFixedDelay(new ThreadPoller(),
pollingInitDelay, pollingPeriod, POLLING_TIME_UNIT);
}
/**
* Check whether mlcp runs auto-scaling. If the user specifies command line
* option -thread_count or -thread_count_per_split, or mlcp is not running
* against a load balancer, then mlcp does not auto-scale.
* @return true if mlcp runs auto-scaling, false if it doesn't.
*/
public boolean runAutoScaling() {
// Run auto-scaling when mlcp is run against load balancer, and
// thread_count and threads_per_split are not specified.
return (restrictHosts && (threadCount == 0) && (threadsPerSplit == 0));
}
/**
* Initialize thread pool before mlcp starts running jobs.
* @return initialized thread pool.
*/
public ThreadPoolExecutor initThreadPool() {
int numThreads;
if (threadCount != 0) {
// Use specified threadCount in the command line
numThreads = threadCount;
} else {
// Use server max thread counts
numThreads = newServerThreads;
if (numThreads == 0) {
// Mlcp export command or ML server version is below 10.0-4.2,
// unable to get server thread count
numThreads = DEFAULT_THREAD_COUNT;
}
}
numThreads = Math.max(numThreads, minThreads);
if (maxThreads > 0) {
numThreads = Math.min(numThreads, maxThreads);
}
if (numThreads > 1) {
pool = (ThreadPoolExecutor)Executors.newFixedThreadPool(numThreads);
if (LOG.isDebugEnabled()) {
LOG.debug("Initial thread pool size: " + numThreads);
if (runAutoScaling()) {
LOG.debug("Thread pool will auto-scale based on " +
"available server threads.");
} else {
LOG.debug("Thread pool is fixed and will not " +
"auto-scale.");
}
}
}
curServerThreads = numThreads;
return pool;
}
/**
* Return the total counts of LocalMapTask that are actively running.
*/
public int getActiveTaskCounts() {
int count = 0;
synchronized (taskList) {
for (LocalMapTask task : taskList) {
if (task.isTaskDone()) {
if (task.getThreadCount() > 0) {
idleServerThreads += task.getThreadCount();
task.setThreadCount(0);
}
} else count++;
}
}
return count;
}
/**
* Scale-out thread pool based on newly available server threads. Create
* new map runners and assign them to each existing LocalMapTask in a
* round-robin fashion.
*/
public void scaleOutThreadPool(int activeTaskCounts) {
if (maxThreads > 0 && newServerThreads > maxThreads) {
LOG.info("Thread count has reached the maximum value: " +
maxThreads + " , and the thread pool will not further scale " +
"out.");
newServerThreads = maxThreads;
} else {
LOG.info("Thread pool is scaling-out. New thread pool size: " +
newServerThreads);
}
synchronized (pool) {
pool.setMaximumPoolSize(newServerThreads);
pool.setCorePoolSize(newServerThreads);
}
// Assign new available threads to each task
for (int i = 0; i < taskList.size(); i++) {
LocalMapTask task = taskList.get(i);
if (task.getMapperClass() == (Class)MultithreadedMapper.class) {
if (task.getThreadCount() == 0) {
// Stop assigning new threads to completed LocalMapTasks
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": 0, since this " +
"task is already completed.");
}
continue;
}
// In assignThreads, pass down a random index as splitIndex to
// make sure threads are more evenly assigned. The total delta
// threads in a scale-out event equals to the new available
// threads plus the idle threads that finish running other
// LocalMapTasks.
int deltaTaskThreads = assignThreads(
randomIndexes.get(i), activeTaskCounts,
(newServerThreads - curServerThreads + idleServerThreads),
false);
int newTaskThreads = deltaTaskThreads + task.getThreadCount();
task.setThreadCount(newTaskThreads);
((MultithreadedMapper)task.getMapper()).setThreadCount(
newTaskThreads);
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": " + newTaskThreads);
}
// Stop ThreadManager from assigning more threads to a completed
// task. The idle threads will be reassigned in the next round.
if (task.isTaskDone()) continue;
try {
// Create new map runners
((MultithreadedMapper)task.getMapper()).createRunners(
deltaTaskThreads);
} catch (ClassNotFoundException e) {
LOG.error("MapRunner class not found", e);
} catch (IOException | InterruptedException e) {
LOG.error(e.getMessage(), e);
}
}
}
}
/**
* Scale-in thread pool based on new available server threads. Deduct
* active runners from each LocalMapTask in a round-robin fashion.
*/
public void scaleInThreadPool(int activeTaskCounts) {
LOG.info("Thread pool is scaling-in. New thread pool size: " +
newServerThreads);
// Deduct runners from each task
for (int i = 0; i < taskList.size(); i++) {
LocalMapTask task = taskList.get(i);
if (task.getMapperClass() == (Class)MultithreadedMapper.class) {
if (task.getThreadCount() == 0) {
// Stop assigning new threads to completed LocalMapTasks
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": 0, since this " +
"task is already completed.");
}
continue;
}
// The total delta threads in a scale-in event equals to the
// unavailable threads minus the idle threads that finish
// running other LocalMapTasks.
int deltaTaskThreads = assignThreads(
randomIndexes.get(i), activeTaskCounts,
(curServerThreads - newServerThreads - idleServerThreads),
false);
int newTaskThreads = task.getThreadCount() - deltaTaskThreads;
if (newTaskThreads < minThreads) {
LOG.info("Thread count has reached minimum value: " +
minThreads + " and the thread pool will not further " +
"scale in.");
newTaskThreads = minThreads;
}
task.setThreadCount(newTaskThreads);
((MultithreadedMapper)task.getMapper()).setThreadCount(
newTaskThreads);
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": " + newTaskThreads);
}
// Stop ThreadManager from assigning more threads to a completed
// task. The idle threads will be reassigned in the next round
if (task.isTaskDone()) continue;
// Stop currently running MapRunners
((MultithreadedMapper)task.getMapper()).stopRunners(
deltaTaskThreads);
}
}
pool.setCorePoolSize(newServerThreads);
pool.setMaximumPoolSize(newServerThreads);
}
/**
* Reassign all the idle server threads in the thread pool to other
* active running tasks.
* @param activeTaskCounts
*/
public void assignIdleThreads(int activeTaskCounts) {
if (LOG.isDebugEnabled()) {
LOG.debug("Assigning idle threads to each LocalMapTask. Idle thread" +
"counts: " + idleServerThreads);
}
for (int i = 0; i < taskList.size(); i++) {
LocalMapTask task = taskList.get(i);
if (task.isTaskDone()) {
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": 0, since this " +
"task is already completed.");
}
continue;
}
int deltaTaskThreads = assignThreads(randomIndexes.get(i),
activeTaskCounts, idleServerThreads, false);
if (task.getMapperClass() == (Class)MultithreadedMapper.class) {
int newTaskThreads = deltaTaskThreads + task.getThreadCount();
task.setThreadCount(newTaskThreads);
((MultithreadedMapper)task.getMapper()).setThreadCount(
newTaskThreads);
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. New " +
"thread count for split #" + i + ": " +
newTaskThreads);
}
if (deltaTaskThreads == 0) continue;
try {
// Create new map runners
((MultithreadedMapper)task.getMapper()).createRunners(
deltaTaskThreads);
} catch (ClassNotFoundException e) {
LOG.error("MapRunner class not found", e);
} catch (IOException | InterruptedException e) {
LOG.error(e.getMessage(), e);
}
}
}
}
/**
* Wait until all tasks are done and shutdown thread pool.
* @throws InterruptedException
* @throws ExecutionException
*/
public void shutdownThreadPool() throws InterruptedException,
ExecutionException {
// wait till all tasks are done
for (Future f : taskFutureList) {
f.get();
}
if (scheduler != null) {
scheduler.shutdown();
while (!scheduler.awaitTermination(1, TimeUnit.HOURS));
}
if (pool != null) {
pool.shutdown();
while (!pool.awaitTermination(1, TimeUnit.HOURS));
}
}
/**
* Submit LocalMapTask (one task per input split) to thread pool.
* @param task
* @param index
* @param splitCount
* @throws Exception
*/
public void submitTask(LocalMapTask task, int index, int splitCount)
throws Exception {
int taskThreads = assignThreads(index, splitCount, newServerThreads,
true);
Class> mapperClass = job.getMapperClass();
Class> runtimeMapperClass = job.getMapperClass();
// Possible runtime mapperClass adjustment. Use MultithreadedMapper for
// each InputSplit assigned with only 1 thread as well for auto-scaling
// purpose.
if (taskThreads != threadsPerSplit) {
runtimeMapperClass = cmd.getRuntimeMapperClass(job, mapperClass,
threadsPerSplit);
if (runtimeMapperClass != mapperClass) {
task.setMapperClass(runtimeMapperClass);
}
if (runtimeMapperClass == (Class)MultithreadedMapper.class) {
task.setThreadCount(taskThreads);
if (LOG.isDebugEnabled()) {
LOG.debug("Running with MultithreadedMapper. Initial " +
"thread count for split #" + index + ": " +
taskThreads);
}
}
}
taskList.add(task);
if (runtimeMapperClass == (Class)MultithreadedMapper.class) {
synchronized (pool) {
taskFutureList.add(pool.submit(task));
pool.wait();
}
} else {
pool.submit(task);
}
}
/**
* Assign thread count for a given split
*
* @param splitIndex split index
* @param splitCount
* @param totalThreads
* @param initialize whether the ThreadManager is initializing LocalMapTasks
* @return number of threads for each input split
*/
private int assignThreads(int splitIndex, int splitCount, int totalThreads,
boolean initialize) {
if (threadsPerSplit > 0) {
return threadsPerSplit;
}
if (splitCount == 1) {
return totalThreads;
}
if (splitCount * minThreads > totalThreads) {
if (!initialize) {
// Scale-out/scale-in/assigning idle threads
if (splitIndex < totalThreads) {
return minThreads;
} else {
return 0;
}
} else {
// Initializing LocalMapTasks
// During initialization, we need to guarantee each LocalMapTask
// is assigned at least one thread to submit it to the threadpool.
return minThreads;
}
}
if (splitIndex % totalThreads < totalThreads % splitCount) {
return totalThreads / splitCount + 1;
} else {
return totalThreads / splitCount;
}
}
/**
* Generate an array of random split indexes for more evenly assigning
* threads in scale-out/scale-in events.
* @param splitCount
*/
private void prepareRandomIndexes(int splitCount) {
randomIndexes.clear();
for (int i = 0; i < splitCount; i++) {
randomIndexes.add(i);
}
Collections.shuffle(randomIndexes);
}
/**
* Used by checkOutputSpecs for indicating whether mlcp is running against
* a load balancer.
* @param newRestrictHosts
*/
public void setRestrictHosts(boolean newRestrictHosts) {
restrictHosts = newRestrictHosts;
}
/**
* Run server thread polling query and adjust thread pool
*/
class ThreadPoller implements Runnable {
private int pollingRetry;
private int pollingSleepTime;
private final int MAX_RETRIES = 5;
private final int MIN_SLEEP_TIME = 500;
@Override
public void run() {
if (ContentPump.shutdown) {
return;
}
if (!runAutoScaling()) return;
boolean succeeded = false;
boolean isRetryable = false;
pollingRetry = 0;
pollingSleepTime = MIN_SLEEP_TIME;
// Poll server max threads
while (pollingRetry < MAX_RETRIES) {
if (pollingRetry > 0) {
if (LOG.isDebugEnabled()) {
LOG.debug("Retrying querying available server max threads.");
}
}
String[] hosts = conf.getStrings(MarkLogicConstants.OUTPUT_HOST);
for (String host : hosts) {
try {
ContentSource cs = InternalUtilities.
getOutputContentSource(conf, host);
queryServerMaxThreads(cs);
if (LOG.isDebugEnabled()) {
LOG.debug("New available server threads: " +
newServerThreads);
}
succeeded = true;
break;
} catch (Exception e) {
if (e instanceof RequestException) {
if (e instanceof ServerConnectionException) {
isRetryable = true;
LOG.warn("ServerConnectionException:" +
e.getMessage() + " . Unable to connect to " +
host + " to query available server max threads.");
} else if (e instanceof MLCloudRequestException) {
isRetryable |= ((MLCloudRequestException)e).isRetryable();
LOG.warn("MLCloudRequestException:" + e.getMessage());
} else {
isRetryable = true;
LOG.warn("RequestException:" + e.getMessage());
}
} else {
isRetryable = true;
LOG.warn("Exception:" + e.getMessage());
}
}
}
if (succeeded) break;
if (++pollingRetry < MAX_RETRIES && isRetryable) {
sleep();
} else {
LOG.error("Exceed max querying retry. Unable to query" +
"available server max threads.");
job.setJobState(JobStatus.State.FAILED);
return;
}
}
// Collect active task counts and idle thread counts
int activeTaskCounts = getActiveTaskCounts();
prepareRandomIndexes(activeTaskCounts);
if (curServerThreads < newServerThreads) {
// Scale out
scaleOutThreadPool(activeTaskCounts);
} else if (curServerThreads > newServerThreads) {
// Scale in
scaleInThreadPool(activeTaskCounts);
} else if (idleServerThreads > 0) {
// If the thread count remain unchanged, reassign available
// idle server threads
assignIdleThreads(activeTaskCounts);
} else return;
curServerThreads = newServerThreads;
idleServerThreads = 0;
}
private void sleep() {
try {
if (LOG.isDebugEnabled()) {
LOG.debug("Sleeping before retrying...sleepTime= " +
pollingSleepTime + "ms");
}
InternalUtilities.sleep(pollingSleepTime);
} catch (Exception e) {}
pollingSleepTime = pollingSleepTime * 2;
}
}
}
