reactor.core.scheduler

Class Schedulers

java.lang.Object

reactor.core.scheduler.Schedulers

public abstract class Schedulers
extends Object

Schedulers provides various Scheduler flavors usable by publishOn or subscribeOn :

• parallel(): Optimized for fast Runnable non-blocking executions
• single(): Optimized for low-latency Runnable one-off executions
• elastic(): Optimized for longer executions, an alternative for blocking tasks where the number of active tasks (and threads) can grow indefinitely
• boundedElastic(): Optimized for longer executions, an alternative for blocking tasks where the number of active tasks (and threads) is capped
• immediate(): to immediately run submitted Runnable instead of scheduling them (somewhat of a no-op or "null object" Scheduler)
• fromExecutorService(ExecutorService) to create new instances around Executors

Factories prefixed with new (eg. newBoundedElastic(int, int, String) return a new instance of their flavor of Scheduler, while other factories like boundedElastic() return a shared instance - which is the one used by operators requiring that flavor as their default Scheduler. All instances are returned in a initialized state.

Author:

Stephane Maldini

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	Schedulers.Factory Public factory hook to override Schedulers behavior globally
static class	Schedulers.Snapshot It is also Disposable in case you don't want to restore the live Schedulers

Field Summary

Fields

Modifier and Type	Field and Description
static int	DEFAULT_BOUNDED_ELASTIC_QUEUESIZE Default maximum number of enqueued tasks PER THREAD for the global boundedElastic() Scheduler, initialized by system property reactor.schedulers.defaultBoundedElasticQueueSize and falls back to a bound of 100 000 tasks per backing thread.
static int	DEFAULT_BOUNDED_ELASTIC_SIZE Default maximum size for the global boundedElastic() Scheduler, initialized by system property reactor.schedulers.defaultBoundedElasticSize and falls back to 10 x number of processors available to the runtime on init.
static int	DEFAULT_POOL_SIZE Default pool size, initialized by system property reactor.schedulers.defaultPoolSize and falls back to the number of processors available to the runtime on init.

Constructor Summary

Constructors

Constructor and Description
Schedulers()

Method Summary

Modifier and Type	Method and Description
static boolean	addExecutorServiceDecorator(String key, BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService> decorator) Set up an additional ScheduledExecutorService decorator for a given key only if that key is not already present.
static Scheduler	boundedElastic() The common boundedElastic instance, a Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down.
static ScheduledExecutorService	decorateExecutorService(Scheduler owner, ScheduledExecutorService original) This method is aimed at Scheduler implementors, enabling custom implementations that are backed by a ScheduledExecutorService to also have said executors decorated (ie.
static void	disableMetrics() If enableMetrics() has been previously called, removes the decorator.
static Scheduler	elastic() Deprecated. use boundedElastic(), to be removed in 3.5.0
static void	enableMetrics() If Micrometer is available, set-up a decorator that will instrument any ExecutorService that backs a Scheduler.
static Scheduler	fromExecutor(Executor executor) Create a Scheduler which uses a backing Executor to schedule Runnables for async operators.
static Scheduler	fromExecutor(Executor executor, boolean trampoline) Create a Scheduler which uses a backing Executor to schedule Runnables for async operators.
static Scheduler	fromExecutorService(ExecutorService executorService) Create a Scheduler which uses a backing ExecutorService to schedule Runnables for async operators.
static Scheduler	fromExecutorService(ExecutorService executorService, String executorName) Create a Scheduler which uses a backing ExecutorService to schedule Runnables for async operators.
static Scheduler	immediate() Executes tasks immediately instead of scheduling them.
static boolean	isInNonBlockingThread() Check if calling a Reactor blocking API in the current Thread is forbidden or not, by checking if the thread implements NonBlocking (in which case it is forbidden and this method returns true).
static boolean	isNonBlockingThread(Thread t) Check if calling a Reactor blocking API in the given Thread is forbidden or not, by checking if the thread implements NonBlocking (in which case it is forbidden and this method returns true).
static Scheduler	newBoundedElastic(int threadCap, int queuedTaskCap, String name) Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down.
static Scheduler	newBoundedElastic(int threadCap, int queuedTaskCap, String name, int ttlSeconds) Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down.
static Scheduler	newBoundedElastic(int threadCap, int queuedTaskCap, String name, int ttlSeconds, boolean daemon) Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down.
static Scheduler	newBoundedElastic(int threadCap, int queuedTaskCap, ThreadFactory threadFactory, int ttlSeconds) Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down.
static Scheduler	newElastic(int ttlSeconds, ThreadFactory threadFactory) Deprecated. use newBoundedElastic(int, int, ThreadFactory, int), to be removed in 3.5.0
static Scheduler	newElastic(String name) Deprecated. use newBoundedElastic(int, int, String), to be removed in 3.5.0
static Scheduler	newElastic(String name, int ttlSeconds) Deprecated. use newBoundedElastic(int, int, String, int), to be removed in 3.5.0
static Scheduler	newElastic(String name, int ttlSeconds, boolean daemon) Deprecated. use newBoundedElastic(int, int, String, int, boolean), to be removed in 3.5.0
static Scheduler	newParallel(int parallelism, ThreadFactory threadFactory) Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.
static Scheduler	newParallel(String name) Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.
static Scheduler	newParallel(String name, int parallelism) Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.
static Scheduler	newParallel(String name, int parallelism, boolean daemon) Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.
static Scheduler	newSingle(String name) Scheduler that hosts a single-threaded ExecutorService-based worker.
static Scheduler	newSingle(String name, boolean daemon) Scheduler that hosts a single-threaded ExecutorService-based worker.
static Scheduler	newSingle(ThreadFactory threadFactory) Scheduler that hosts a single-threaded ExecutorService-based worker.
static void	onHandleError(BiConsumer<Thread,? super Throwable> subHook) Define a hook anonymous part that is executed alongside keyed parts when a Scheduler has handled an error.
static void	onHandleError(String key, BiConsumer<Thread,? super Throwable> subHook) Define a keyed hook part that is executed alongside other parts when a Scheduler has handled an error.
static Runnable	onSchedule(Runnable runnable) Applies the hooks registered with onScheduleHook(String, Function).
static void	onScheduleHook(String key, Function<Runnable,Runnable> decorator) Add or replace a named scheduling decorator.
static Scheduler	parallel() The common parallel instance, a Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.
static BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService>	removeExecutorServiceDecorator(String key) Remove an existing ScheduledExecutorService decorator if it has been set up via addExecutorServiceDecorator(String, BiFunction).
static void	resetFactory() Re-apply default factory to Schedulers
static void	resetFrom(Schedulers.Snapshot snapshot) Replace the current Factory and shared Schedulers with the ones saved in a previously captured snapshot.
static void	resetOnHandleError() Reset the onHandleError(BiConsumer) hook to the default no-op behavior, erasing all sub-hooks that might have individually added via onHandleError(String, BiConsumer) or the whole hook set via onHandleError(BiConsumer).
static void	resetOnHandleError(String key) Reset a specific onHandleError hook part keyed to the provided String, removing that sub-hook if it has previously been defined via onHandleError(String, BiConsumer).
static void	resetOnScheduleHook(String key) Reset a specific onScheduleHook sub-hook if it has been set up via onScheduleHook(String, Function).
static void	resetOnScheduleHooks() Remove all onScheduleHook sub-hooks.
static void	setExecutorServiceDecorator(String key, BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService> decorator) Set up an additional ScheduledExecutorService decorator for a given key, even if that key is already present.
static void	setFactory(Schedulers.Factory factoryInstance) Replace Schedulers factories (newParallel, newSingle and newBoundedElastic).
static Schedulers.Snapshot	setFactoryWithSnapshot(Schedulers.Factory newFactory) Replace Schedulers factories (newParallel, newSingle and newBoundedElastic).
static void	shutdownNow() Clear any cached Scheduler and call dispose on them.
static Scheduler	single() The common single instance, a Scheduler that hosts a single-threaded ExecutorService-based worker.
static Scheduler	single(Scheduler original) Wraps a single Scheduler.Worker from some other Scheduler and provides Scheduler.Worker services on top of it.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_POOL_SIZE

public static final int DEFAULT_POOL_SIZE

Default pool size, initialized by system property reactor.schedulers.defaultPoolSize and falls back to the number of processors available to the runtime on init.

See Also:

Runtime.availableProcessors()

DEFAULT_BOUNDED_ELASTIC_SIZE

public static final int DEFAULT_BOUNDED_ELASTIC_SIZE

Default maximum size for the global boundedElastic() Scheduler, initialized by system property reactor.schedulers.defaultBoundedElasticSize and falls back to 10 x number of processors available to the runtime on init.

See Also:

Runtime.availableProcessors(), boundedElastic()

DEFAULT_BOUNDED_ELASTIC_QUEUESIZE

public static final int DEFAULT_BOUNDED_ELASTIC_QUEUESIZE

Default maximum number of enqueued tasks PER THREAD for the global boundedElastic() Scheduler, initialized by system property reactor.schedulers.defaultBoundedElasticQueueSize and falls back to a bound of 100 000 tasks per backing thread.

See Also:

boundedElastic()

Constructor Detail

Schedulers

public Schedulers()

Method Detail

fromExecutor

public static Scheduler fromExecutor(Executor executor)

Create a Scheduler which uses a backing Executor to schedule Runnables for async operators.

Tasks scheduled with workers of this Scheduler are not guaranteed to run in FIFO order and strictly non-concurrently. If FIFO order is desired, use trampoline parameter of fromExecutor(Executor, boolean)

Parameters:

executor - an Executor

Returns:

a new Scheduler

fromExecutor

public static Scheduler fromExecutor(Executor executor,
                                     boolean trampoline)

Create a Scheduler which uses a backing Executor to schedule Runnables for async operators. Trampolining here means tasks submitted in a burst are queued by the Worker itself, which acts as a sole task from the perspective of the ExecutorService, so no reordering (but also no threading).

Parameters:

executor - an Executor

trampoline - set to false if this Scheduler is used by "operators" that already conflate Runnable executions (publishOn, subscribeOn...)

Returns:

a new Scheduler

fromExecutorService

public static Scheduler fromExecutorService(ExecutorService executorService)

Create a Scheduler which uses a backing ExecutorService to schedule Runnables for async operators.

Prefer using fromExecutorService(ExecutorService, String), especially if you plan on using metrics as this gives the executor a meaningful identifier.

Parameters:

executorService - an ExecutorService

Returns:

a new Scheduler

fromExecutorService

public static Scheduler fromExecutorService(ExecutorService executorService,
                                            String executorName)

Create a Scheduler which uses a backing ExecutorService to schedule Runnables for async operators.

Parameters:

executorService - an ExecutorService

Returns:

a new Scheduler

elastic

@Deprecated
public static Scheduler elastic()

Deprecated. use boundedElastic(), to be removed in 3.5.0

Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down.

The maximum number of created thread pools is unbounded.

The default time-to-live for unused thread pools is 60 seconds, use the appropriate factory to set a different value.

Returns:

default instance of a Scheduler that dynamically creates ExecutorService-based Workers and caches the threads, reusing them once the Workers have been shut down

boundedElastic

public static Scheduler boundedElastic()

The common boundedElastic instance, a Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down. The underlying daemon threads can be evicted if idle for more than 60 seconds.

The maximum number of created threads is bounded by a cap (by default ten times the number of available CPU cores, see DEFAULT_BOUNDED_ELASTIC_SIZE). The maximum number of task submissions that can be enqueued and deferred on each of these backing threads is bounded (by default 100K additional tasks, see DEFAULT_BOUNDED_ELASTIC_QUEUESIZE). Past that point, a RejectedExecutionException is thrown.

By order of preference, threads backing a new Scheduler.Worker are picked from the idle pool, created anew or reused from the busy pool. In the later case, a best effort attempt at picking the thread backing the least amount of workers is made.

Note that if a thread is backing a low amount of workers, but these workers submit a lot of pending tasks, a second worker could end up being backed by the same thread and see tasks rejected. The picking of the backing thread is also done once and for all at worker creation, so tasks could be delayed due to two workers sharing the same backing thread and submitting long-running tasks, despite another backing thread becoming idle in the meantime.

Only one instance of this common scheduler will be created on the first call and is cached. The same instance is returned on subsequent calls until it is disposed.

One cannot directly dispose the common instances, as they are cached and shared between callers. They can however be all shut down together, or replaced by a change in Factory.

Returns:

the common boundedElastic instance, a Scheduler that dynamically creates workers with an upper bound to the number of backing threads and after that on the number of enqueued tasks, that reuses threads and evict idle ones

parallel

public static Scheduler parallel()

The common parallel instance, a Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.

Only one instance of this common scheduler will be created on the first call and is cached. The same instance is returned on subsequent calls until it is disposed.

One cannot directly dispose the common instances, as they are cached and shared between callers. They can however be all shut down together, or replaced by a change in Factory.

Returns:

the common parallel instance, a Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work

immediate

public static Scheduler immediate()

Executes tasks immediately instead of scheduling them.

As a consequence tasks run on the thread that submitted them (eg. the thread on which an operator is currently processing its onNext/onComplete/onError signals). This Scheduler is typically used as a "null object" for APIs that require a Scheduler but one doesn't want to change threads.

Returns:

a reusable Scheduler that executes tasks immediately instead of scheduling them

newElastic

@Deprecated
public static Scheduler newElastic(String name)

Deprecated. use newBoundedElastic(int, int, String), to be removed in 3.5.0

Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down.

The maximum number of created thread pools is unbounded.

The default time-to-live for unused thread pools is 60 seconds, use the appropriate factory to set a different value.

Parameters:

name - Thread prefix

Returns:

a new Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down

newElastic

@Deprecated
public static Scheduler newElastic(String name,
                                               int ttlSeconds)

Deprecated. use newBoundedElastic(int, int, String, int), to be removed in 3.5.0

Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down.

The maximum number of created thread pools is unbounded.

Parameters:

name - Thread prefix

ttlSeconds - Time-to-live for an idle Scheduler.Worker

Returns:

a new Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down

newElastic

@Deprecated
public static Scheduler newElastic(String name,
                                               int ttlSeconds,
                                               boolean daemon)

Deprecated. use newBoundedElastic(int, int, String, int, boolean), to be removed in 3.5.0

Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down.

The maximum number of created thread pools is unbounded.

Parameters:

name - Thread prefix

ttlSeconds - Time-to-live for an idle Scheduler.Worker

daemon - false if the Scheduler requires an explicit Scheduler.dispose() to exit the VM.

Returns:

a new Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down

newElastic

@Deprecated
public static Scheduler newElastic(int ttlSeconds,
                                               ThreadFactory threadFactory)

Deprecated. use newBoundedElastic(int, int, ThreadFactory, int), to be removed in 3.5.0

Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down.

The maximum number of created thread pools is unbounded.

Parameters:

ttlSeconds - Time-to-live for an idle Scheduler.Worker

threadFactory - a ThreadFactory to use each thread initialization

Returns:

a new Scheduler that dynamically creates ExecutorService-based Workers and caches the thread pools, reusing them once the Workers have been shut down

newBoundedElastic

public static Scheduler newBoundedElastic(int threadCap,
                                          int queuedTaskCap,
                                          String name)

Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down. The underlying (user) threads can be evicted if idle for more than 60 seconds.

The maximum number of created threads is bounded by the provided threadCap. The maximum number of task submissions that can be enqueued and deferred on each of these backing threads is bounded by the provided queuedTaskCap. Past that point, a RejectedExecutionException is thrown.

By order of preference, threads backing a new Scheduler.Worker are picked from the idle pool, created anew or reused from the busy pool. In the later case, a best effort attempt at picking the thread backing the least amount of workers is made.

Note that if a thread is backing a low amount of workers, but these workers submit a lot of pending tasks, a second worker could end up being backed by the same thread and see tasks rejected. The picking of the backing thread is also done once and for all at worker creation, so tasks could be delayed due to two workers sharing the same backing thread and submitting long-running tasks, despite another backing thread becoming idle in the meantime.

Threads backing this scheduler are user threads, so they will prevent the JVM from exiting until their worker has been disposed AND they've been evicted by TTL, or the whole scheduler has been disposed.

Parameters:

threadCap - maximum number of underlying threads to create

queuedTaskCap - maximum number of tasks to enqueue when no more threads can be created. Can be Integer.MAX_VALUE for unbounded enqueueing.

name - Thread prefix

Returns:

a new Scheduler that dynamically creates workers with an upper bound to the number of backing threads and after that on the number of enqueued tasks, that reuses threads and evict idle ones

newBoundedElastic

public static Scheduler newBoundedElastic(int threadCap,
                                          int queuedTaskCap,
                                          String name,
                                          int ttlSeconds)

Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down. The underlying (user) threads can be evicted if idle for more than the provided ttlSeconds.

The maximum number of created threads is bounded by the provided threadCap. The maximum number of task submissions that can be enqueued and deferred on each of these backing threads is bounded by the provided queuedTaskCap. Past that point, a RejectedExecutionException is thrown.

By order of preference, threads backing a new Scheduler.Worker are picked from the idle pool, created anew or reused from the busy pool. In the later case, a best effort attempt at picking the thread backing the least amount of workers is made.

Note that if a thread is backing a low amount of workers, but these workers submit a lot of pending tasks, a second worker could end up being backed by the same thread and see tasks rejected. The picking of the backing thread is also done once and for all at worker creation, so tasks could be delayed due to two workers sharing the same backing thread and submitting long-running tasks, despite another backing thread becoming idle in the meantime.

Threads backing this scheduler are user threads, so they will prevent the JVM from exiting until their worker has been disposed AND they've been evicted by TTL, or the whole scheduler has been disposed.

Parameters:

threadCap - maximum number of underlying threads to create

queuedTaskCap - maximum number of tasks to enqueue when no more threads can be created. Can be Integer.MAX_VALUE for unbounded enqueueing.

name - Thread prefix

ttlSeconds - Time-to-live for an idle Scheduler.Worker

Returns:

a new Scheduler that dynamically creates workers with an upper bound to the number of backing threads and after that on the number of enqueued tasks, that reuses threads and evict idle ones

newBoundedElastic

public static Scheduler newBoundedElastic(int threadCap,
                                          int queuedTaskCap,
                                          String name,
                                          int ttlSeconds,
                                          boolean daemon)

Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down. The underlying (user or daemon) threads can be evicted if idle for more than the provided ttlSeconds.

The maximum number of created threads is bounded by the provided threadCap. The maximum number of task submissions that can be enqueued and deferred on each of these backing threads is bounded by the provided queuedTaskCap. Past that point, a RejectedExecutionException is thrown.

By order of preference, threads backing a new Scheduler.Worker are picked from the idle pool, created anew or reused from the busy pool. In the later case, a best effort attempt at picking the thread backing the least amount of workers is made.

Note that if a thread is backing a low amount of workers, but these workers submit a lot of pending tasks, a second worker could end up being backed by the same thread and see tasks rejected. The picking of the backing thread is also done once and for all at worker creation, so tasks could be delayed due to two workers sharing the same backing thread and submitting long-running tasks, despite another backing thread becoming idle in the meantime.

Depending on the daemon parameter, threads backing this scheduler can be user threads or daemon threads. Note that user threads will prevent the JVM from exiting until their worker has been disposed AND they've been evicted by TTL, or the whole scheduler has been disposed.

Parameters:

threadCap - maximum number of underlying threads to create

queuedTaskCap - maximum number of tasks to enqueue when no more threads can be created. Can be Integer.MAX_VALUE for unbounded enqueueing.

name - Thread prefix

ttlSeconds - Time-to-live for an idle Scheduler.Worker

daemon - are backing threads daemon threads

Returns:

a new Scheduler that dynamically creates workers with an upper bound to the number of backing threads and after that on the number of enqueued tasks, that reuses threads and evict idle ones

newBoundedElastic

public static Scheduler newBoundedElastic(int threadCap,
                                          int queuedTaskCap,
                                          ThreadFactory threadFactory,
                                          int ttlSeconds)

Scheduler that dynamically creates a bounded number of ExecutorService-based Workers, reusing them once the Workers have been shut down. The underlying (user) threads can be evicted if idle for more than the provided ttlSeconds.

The maximum number of created threads is bounded by the provided threadCap. The maximum number of task submissions that can be enqueued and deferred on each of these backing threads is bounded by the provided queuedTaskCap. Past that point, a RejectedExecutionException is thrown.

By order of preference, threads backing a new Scheduler.Worker are picked from the idle pool, created anew or reused from the busy pool. In the later case, a best effort attempt at picking the thread backing the least amount of workers is made.

Note that if a thread is backing a low amount of workers, but these workers submit a lot of pending tasks, a second worker could end up being backed by the same thread and see tasks rejected. The picking of the backing thread is also done once and for all at worker creation, so tasks could be delayed due to two workers sharing the same backing thread and submitting long-running tasks, despite another backing thread becoming idle in the meantime.

Threads backing this scheduler are created by the provided ThreadFactory, which can decide whether to create user threads or daemon threads. Note that user threads will prevent the JVM from exiting until their worker has been disposed AND they've been evicted by TTL, or the whole scheduler has been disposed.

Parameters:

threadCap - maximum number of underlying threads to create

queuedTaskCap - maximum number of tasks to enqueue when no more threads can be created. Can be Integer.MAX_VALUE for unbounded enqueueing.

threadFactory - a ThreadFactory to use each thread initialization

ttlSeconds - Time-to-live for an idle Scheduler.Worker

Returns:

a new Scheduler that dynamically creates workers with an upper bound to the number of backing threads and after that on the number of enqueued tasks, that reuses threads and evict idle ones

newParallel

public static Scheduler newParallel(String name)

Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work. This type of Scheduler detects and rejects usage of blocking Reactor APIs.

Parameters:

name - Thread prefix

Returns:

a new Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work

newParallel

public static Scheduler newParallel(String name,
                                    int parallelism)

Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work. This type of Scheduler detects and rejects usage of blocking Reactor APIs.

Parameters:

name - Thread prefix

parallelism - Number of pooled workers.

Returns:

a new Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work

newParallel

public static Scheduler newParallel(String name,
                                    int parallelism,
                                    boolean daemon)

Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work. This type of Scheduler detects and rejects usage of blocking Reactor APIs.

Parameters:

name - Thread prefix

parallelism - Number of pooled workers.

daemon - false if the Scheduler requires an explicit Scheduler.dispose() to exit the VM.

Returns:

a new Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work

newParallel

public static Scheduler newParallel(int parallelism,
                                    ThreadFactory threadFactory)

Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work.

Parameters:

parallelism - Number of pooled workers.

threadFactory - a ThreadFactory to use for the fixed initialized number of Thread

Returns:

a new Scheduler that hosts a fixed pool of single-threaded ExecutorService-based workers and is suited for parallel work

newSingle

public static Scheduler newSingle(String name)

Scheduler that hosts a single-threaded ExecutorService-based worker. This type of Scheduler detects and rejects usage of blocking Reactor APIs.

Parameters:

name - Component and thread name prefix

Returns:

a new Scheduler that hosts a single-threaded ExecutorService-based worker

newSingle

public static Scheduler newSingle(String name,
                                  boolean daemon)

Scheduler that hosts a single-threaded ExecutorService-based worker. This type of Scheduler detects and rejects usage of blocking Reactor APIs.

Parameters:

name - Component and thread name prefix

daemon - false if the Scheduler requires an explicit Scheduler.dispose() to exit the VM.

Returns:

a new Scheduler that hosts a single-threaded ExecutorService-based worker

newSingle

public static Scheduler newSingle(ThreadFactory threadFactory)

Scheduler that hosts a single-threaded ExecutorService-based worker.

Parameters:

threadFactory - a ThreadFactory to use for the unique thread of the Scheduler

Returns:

a new Scheduler that hosts a single-threaded ExecutorService-based worker

onHandleError

public static void onHandleError(BiConsumer<Thread,? super Throwable> subHook)

Define a hook anonymous part that is executed alongside keyed parts when a Scheduler has handled an error. Note that it is executed after the error has been passed to the thread uncaughtErrorHandler, which is not the case when a fatal error occurs (see Exceptions.throwIfJvmFatal(Throwable)).

This variant uses an internal private key, which allows the method to be additive with onHandleError(String, BiConsumer). Prefer adding and removing handler parts for keys that you own via onHandleError(String, BiConsumer) nonetheless.

Parameters:

subHook - the new BiConsumer to set as the hook's anonymous part.

See Also:

onHandleError(String, BiConsumer)

onHandleError

public static void onHandleError(String key,
                                 BiConsumer<Thread,? super Throwable> subHook)

Define a keyed hook part that is executed alongside other parts when a Scheduler has handled an error. Note that it is executed after the error has been passed to the thread uncaughtErrorHandler, which is not the case when a fatal error occurs (see Exceptions.throwIfJvmFatal(Throwable)).

Calling this method twice with the same key replaces the old hook part of the same key. Calling this method twice with two different keys is otherwise additive. Note that onHandleError(BiConsumer) also defines an anonymous part which effectively uses a private internal key, making it also additive with this method.

Parameters:

key - the String key identifying the hook part to set/replace.

subHook - the new hook part to set for the given key.

isInNonBlockingThread

public static boolean isInNonBlockingThread()

Check if calling a Reactor blocking API in the current Thread is forbidden or not, by checking if the thread implements NonBlocking (in which case it is forbidden and this method returns true).

Returns:

true if blocking is forbidden in this thread, false otherwise

isNonBlockingThread

public static boolean isNonBlockingThread(Thread t)

Check if calling a Reactor blocking API in the given Thread is forbidden or not, by checking if the thread implements NonBlocking (in which case it is forbidden and this method returns true).

Returns:

true if blocking is forbidden in that thread, false otherwise

enableMetrics

public static void enableMetrics()

If Micrometer is available, set-up a decorator that will instrument any ExecutorService that backs a Scheduler. No-op if Micrometer isn't available.

The MeterRegistry used by reactor can be configured via Metrics.MicrometerConfiguration.useRegistry(MeterRegistry) prior to using this method, the default being Metrics.globalRegistry.

Implementation Note:

Note that this is added as a decorator via Schedulers when enabling metrics for schedulers, which doesn't change the Factory.

disableMetrics

public static void disableMetrics()

If enableMetrics() has been previously called, removes the decorator. No-op if enableMetrics() hasn't been called.

resetFactory

public static void resetFactory()

Re-apply default factory to Schedulers

setFactoryWithSnapshot

public static Schedulers.Snapshot setFactoryWithSnapshot(Schedulers.Factory newFactory)

Replace Schedulers factories (newParallel, newSingle and newBoundedElastic). Unlike setFactory(Factory), doesn't shutdown previous Schedulers but capture them in a Schedulers.Snapshot that can be later restored via resetFrom(Snapshot).

This method should be called safely and with caution, typically on app startup.

Parameters:

newFactory - an arbitrary Schedulers.Factory instance

Returns:

a Schedulers.Snapshot representing a restorable snapshot of Schedulers

resetFrom

public static void resetFrom(@Nullable
                             Schedulers.Snapshot snapshot)

Replace the current Factory and shared Schedulers with the ones saved in a previously captured snapshot.

Passing null re-applies the default factory.

resetOnHandleError

public static void resetOnHandleError()

Reset the onHandleError(BiConsumer) hook to the default no-op behavior, erasing all sub-hooks that might have individually added via onHandleError(String, BiConsumer) or the whole hook set via onHandleError(BiConsumer).

See Also:

resetOnHandleError(String)

resetOnHandleError

public static void resetOnHandleError(String key)

Reset a specific onHandleError hook part keyed to the provided String, removing that sub-hook if it has previously been defined via onHandleError(String, BiConsumer).

setFactory

public static void setFactory(Schedulers.Factory factoryInstance)

Replace Schedulers factories (newParallel, newSingle and newBoundedElastic). Also shutdown Schedulers from the cached factories (like single()) in order to also use these replacements, re-creating the shared schedulers from the new factory upon next use.

This method should be called safely and with caution, typically on app startup.

Parameters:

factoryInstance - an arbitrary Schedulers.Factory instance.

addExecutorServiceDecorator

public static boolean addExecutorServiceDecorator(String key,
                                                  BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService> decorator)

Set up an additional ScheduledExecutorService decorator for a given key only if that key is not already present.

The decorator is a BiFunction taking the Scheduler and the backing ScheduledExecutorService as second argument. It returns the decorated ScheduledExecutorService.

Parameters:

key - the key under which to set up the decorator

decorator - the executor service decorator to add, if key not already present.

Returns:

true if the decorator was added, false if a decorator was already present for this key.

See Also:

setExecutorServiceDecorator(String, BiFunction), removeExecutorServiceDecorator(String), onScheduleHook(String, Function)

setExecutorServiceDecorator

public static void setExecutorServiceDecorator(String key,
                                               BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService> decorator)

Set up an additional ScheduledExecutorService decorator for a given key, even if that key is already present.

The decorator is a BiFunction taking the Scheduler and the backing ScheduledExecutorService as second argument. It returns the decorated ScheduledExecutorService.

Parameters:

key - the key under which to set up the decorator

decorator - the executor service decorator to add, if key not already present.

See Also:

addExecutorServiceDecorator(String, BiFunction), removeExecutorServiceDecorator(String), onScheduleHook(String, Function)

removeExecutorServiceDecorator

public static BiFunction<Scheduler,ScheduledExecutorService,ScheduledExecutorService> removeExecutorServiceDecorator(String key)

Remove an existing ScheduledExecutorService decorator if it has been set up via addExecutorServiceDecorator(String, BiFunction).

In case the decorator implements Disposable, it is also disposed.

Parameters:

key - the key for the executor service decorator to remove

Returns:

the removed decorator, or null if none was set for that key

See Also:

addExecutorServiceDecorator(String, BiFunction), setExecutorServiceDecorator(String, BiFunction)

decorateExecutorService

public static ScheduledExecutorService decorateExecutorService(Scheduler owner,
                                                               ScheduledExecutorService original)

This method is aimed at Scheduler implementors, enabling custom implementations that are backed by a ScheduledExecutorService to also have said executors decorated (ie. for instrumentation purposes).

It applies the decorators added via addExecutorServiceDecorator(String, BiFunction), so it shouldn't be added as a decorator. Note also that decorators are not guaranteed to be idempotent, so this method should be called only once per executor.

Parameters:

owner - a Scheduler that owns the ScheduledExecutorService

original - the ScheduledExecutorService that the Scheduler wants to use originally

Returns:

the decorated ScheduledExecutorService, or the original if no decorator is set up

See Also:

addExecutorServiceDecorator(String, BiFunction), removeExecutorServiceDecorator(String)

onScheduleHook

public static void onScheduleHook(String key,
                                  Function<Runnable,Runnable> decorator)

Add or replace a named scheduling decorator. With subsequent calls to this method, the onScheduleHook hook can be a composite of several sub-hooks, each with a different key.

The sub-hook is a Function taking the scheduled Runnable. It returns the decorated Runnable.

Parameters:

key - the key under which to set up the onScheduleHook sub-hook

decorator - the Runnable decorator to add (or replace, if key is already present)

See Also:

resetOnScheduleHook(String), resetOnScheduleHooks()

resetOnScheduleHook

public static void resetOnScheduleHook(String key)

Reset a specific onScheduleHook sub-hook if it has been set up via onScheduleHook(String, Function).

Parameters:

key - the key for onScheduleHook sub-hook to remove

See Also:

onScheduleHook(String, Function), resetOnScheduleHooks()

resetOnScheduleHooks

public static void resetOnScheduleHooks()

Remove all onScheduleHook sub-hooks.

See Also:

onScheduleHook(String, Function), resetOnScheduleHook(String)

onSchedule

public static Runnable onSchedule(Runnable runnable)

Applies the hooks registered with onScheduleHook(String, Function).

Parameters:

runnable - a Runnable submitted to a Scheduler

Returns:

decorated Runnable if any hook is registered, the original otherwise.

shutdownNow

public static void shutdownNow()

Clear any cached Scheduler and call dispose on them.

single

public static Scheduler single()

The common single instance, a Scheduler that hosts a single-threaded ExecutorService-based worker.

Only one instance of this common scheduler will be created on the first call and is cached. The same instance is returned on subsequent calls until it is disposed.

One cannot directly dispose the common instances, as they are cached and shared between callers. They can however be all shut down together, or replaced by a change in Factory.

Returns:

the common single instance, a Scheduler that hosts a single-threaded ExecutorService-based worker

single

public static Scheduler single(Scheduler original)

Wraps a single Scheduler.Worker from some other Scheduler and provides Scheduler.Worker services on top of it. Unlike with other factory methods in this class, the delegate is assumed to be initialized and won't be implicitly initialized by this method.

Use the Scheduler.dispose() to release the wrapped worker.

Parameters:

original - a Scheduler to call upon to get the single Scheduler.Worker

Returns:

a wrapping Scheduler consistently returning a same worker from a source Scheduler