Podcast
Questions and Answers
How does LongAdder improve performance under high contention compared to AtomicLong?
How does LongAdder improve performance under high contention compared to AtomicLong?
- It is easier to implement than AtomicLong.
- It uses fewer variables than AtomicLong.
- It guarantees a single global state for the variable.
- It maintains multiple independent variables that can be updated separately. (correct)
What is the primary role of the ManagedBlocker interface in ForkJoinPool?
What is the primary role of the ManagedBlocker interface in ForkJoinPool?
- To queue blocked tasks for later execution.
- To create new worker threads during blocking operations. (correct)
- To implement fair scheduling for tasks.
- To manage thread priorities dynamically.
What issue does lock upgrading in concurrency potentially lead to?
What issue does lock upgrading in concurrency potentially lead to?
- Faster lock acquisition times.
- Increased access to synchronized resources.
- Data inconsistency across threads.
- Deadlocks from simultaneous upgrade attempts. (correct)
How does the ForkJoinTask.fork() method differ from invoke()?
How does the ForkJoinTask.fork() method differ from invoke()?
What is the difference between a mutex and a semaphore?
What is the difference between a mutex and a semaphore?
What is the purpose of the onSpinWait() method introduced in Java 9?
What is the purpose of the onSpinWait() method introduced in Java 9?
What is the function of the StampedLock's optimistic reading mode?
What is the function of the StampedLock's optimistic reading mode?
What does the VarHandle class provide for concurrent programming?
What does the VarHandle class provide for concurrent programming?
What is safe publication in Java concurrency aimed at preventing?
What is safe publication in Java concurrency aimed at preventing?
Which characteristic distinguishes the Disruptor pattern from traditional queues?
Which characteristic distinguishes the Disruptor pattern from traditional queues?
What defines the ABA problem in concurrent programming?
What defines the ABA problem in concurrent programming?
Which of the following represents a built-in policy of ThreadPoolExecutor when a task cannot be accepted?
Which of the following represents a built-in policy of ThreadPoolExecutor when a task cannot be accepted?
In which scenario is lock coarsening particularly advantageous?
In which scenario is lock coarsening particularly advantageous?
How do daemon threads differ from user threads in a Java application?
How do daemon threads differ from user threads in a Java application?
Which statement accurately describes the functionality of CompletableFuture.allOf()?
Which statement accurately describes the functionality of CompletableFuture.allOf()?
What is the main purpose of the @GuardedBy annotation?
What is the main purpose of the @GuardedBy annotation?
What is the primary advantage of biased locking in Java?
What is the primary advantage of biased locking in Java?
How does the Striped class in Guava improve over built-in Java synchronization methods?
How does the Striped class in Guava improve over built-in Java synchronization methods?
What differentiates LongAdder from AtomicLong in concurrent programming?
What differentiates LongAdder from AtomicLong in concurrent programming?
Flashcards
ABA Problem
ABA Problem
A situation where a thread reads a value twice, finds it unchanged, but another thread modified it in between. This can lead to unexpected behavior.
ThreadPoolExecutor's Rejection Policy
ThreadPoolExecutor's Rejection Policy
It uses a RejectedExecutionHandler
to determine how to deal with tasks when the queue is full. There are various built-in policies like AbortPolicy
, CallerRunsPolicy
, DiscardPolicy
, and DiscardOldestPolicy
.
Lock Coarsening
Lock Coarsening
It combines adjacent synchronized blocks, all using the same lock, into a single block, reducing overhead from repeated acquiring/releasing.
Daemon Threads
Daemon Threads
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User Threads
User Threads
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CompletableFuture.allOf()
CompletableFuture.allOf()
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CompletableFuture.anyOf()
CompletableFuture.anyOf()
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@GuardedBy annotation
@GuardedBy annotation
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Biased Locking
Biased Locking
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Striped (Guava)
Striped (Guava)
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ManagedBlocker
ManagedBlocker
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Lock Elimination
Lock Elimination
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onSpinWait()
onSpinWait()
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Phaser Forking
Phaser Forking
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VarHandle
VarHandle
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RecursiveAction
RecursiveAction
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StampedLock Optimistic Reading
StampedLock Optimistic Reading
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Lock Upgrading
Lock Upgrading
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Safe Publication
Safe Publication
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AbstractQueuedSynchronizer (AQS)
AbstractQueuedSynchronizer (AQS)
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Study Notes
Concurrent Programming Concepts
- ABA Problem: A thread checks a value, finds it unchanged, but another thread modifies it to a different value then back to the original. This inconsistency can be prevented using version numbers or
AtomicStampedReference
.
ThreadPoolExecutor Rejection Policies
AbortPolicy
: Throws an exception when the queue is full.CallerRunsPolicy
: Runs the task in the caller's thread.DiscardPolicy
: Silently discards the task.DiscardOldestPolicy
: Discards the oldest task in the queue and tries again.
Lock Coarsening
- Purpose: Optimizes efficiency by merging adjacent synchronized blocks on the same lock into one larger block.
- Benefit: Reduces the overhead of acquiring and releasing locks repeatedly.
Daemon vs. User Threads
- Daemon Threads: Background threads that don't prevent JVM exit when all user threads complete.
- User Threads: Needed for program termination; must complete before the JVM exits.
CompletableFuture Methods
allOf()
: Completes when all inputCompletableFutures
finish.anyOf()
: Completes when any one inputCompletableFuture
finishes.
Thread Safety annotations
@GuardedBy
: Annotation for documenting that a field or method requires a specific lock for thread safety.
Biased Locking
- Mechanism: An optimization where a lock is biased toward whichever thread acquired it first.
- Impact: Reduces synchronization overhead when the same thread repeatedly acquires the lock.
Striped Locking
- Guava feature: Creates a fixed number of locks, distributing them based on object hash codes.
- Advantage: Improves fine-grained locking with less memory consumption compared to a single lock per object.
LongAdder vs. AtomicLong
- LongAdder: Performance improvement under high contention by using multiple variables for updates.
- AtomicLong: Employs a single variable using CAS (compare and swap) operations for updates.
ManagedBlocker and ForkJoinPool
- Workflow:
ManagedBlocker
enables theForkJoinPool
to manage blocking operations, potentially creating new workers to avoid starvation.
Lock Elimination
- Concept: Optimizing by removing unnecessary locks when determined that a lock isn't shared or the locked object isn't accessed outside a thread's scope.
onSpinWait (Java 9)
- Processor Hint: Advises the processor that the current thread is in a spin-wait loop, aiming for better power management.
Phaser Forking
- Feature: Allows dynamic registration and deregistration of "parties", accommodating parallel algorithms with an unknown number of subtasks.
Lock Fairness Models
- Fair Locks: Access granted in FIFO order of requests.
- Unfair Locks: May prioritize recently arrived threads; potentially higher performance.
Memory Consistency Errors
- Description: Potential discrepancies in threads' view of shared memory without proper safeguards.
- Prevention: Utilizing synchronization, volatile variables, or atomic classes.
VarHandle Class
- Enhancement: Provides low-level access to variables for atomic operations, memory fence controls, and memory ordering.
- Advantage: Offers refined control over memory access compared to Atomic classes.
RecursiveAction
- Purpose: Used in Fork/Join framework for tasks without return values, splitting workload into subtasks for parallel execution.
StampedLock Optimistic Reading
- Technique: Reads without acquiring a lock, followed by validation to ensure consistency before use.
- Retry: If validation fails during optimistic read, a regular read lock is required.
Lock Upgrading
- Mechanism: Attempting a write lock while holding a read lock.
- Problem: Can lead to deadlock if multiple threads try to upgrade simultaneously.
ForkJoinTask methods
fork()
: Submits a task asynchronously to the pool; execution is not guaranteed.invoke()
: Executes a task synchronously in the pool; may steal work from other threads if necessary.
ThreadLocalRandom
- Benefit: Improved random number generation performance, eliminating contention by keeping separate generators for each thread.
Bytecode Synchronization
monitorenter
: Acquires a monitor (lock) on an object.monitorexit
: Releases a monitor (lock) on an object.
ConcurrentSkipListMap
- Concurrency: Uses a skip list data structure for lock-free concurrent access by multiple threads.
Safe Publication
- Guarantee: Ensures that an object is fully initialized, and its reference is visible to other threads before use.
- Techniques: Utilizing final fields, volatile variables, or concurrent collections.
AbstractQueuedSynchronizer (AQS)
- Function: Framework for implementing locks and synchronizers, managing queues for waiting threads and performing synchronization.
Disruptor Pattern
- Difference: Employs a ring buffer with optimized algorithms (
mechanical sympathy
) for higher throughput versus typical blocking queues.
Mutex vs. Semaphore
- Mutex: Exclusive access; one thread owns, requires releasing by the same thread.
- Semaphore: Multiple threads can acquire; maintains a count and allows concurrent access.
Memory Barriers
- Action: Enforce order on memory operations (happens-before relationships) in the Java Memory Model.
CompletableFuture Methods (handle/exceptionally)
handle()
: Processes both successful results and exceptions; receives both as arguments.exceptionally()
: Processes only exceptions.
LinkedTransferQueue
- Purpose: Combines queue characteristics with elements transferability where possible; can improve producer-consumer scenarios.
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