Senior 4 min · March 05, 2026

Java Deadlock — Lock Ordering Failures in Payment Systems

Thread dumps revealed BLOCKED threads holding Account and Transaction locks in opposite order.

N
Naren · Founder
Plain-English first. Then code. Then the interview question.
About
 ● Production Incident 🔎 Debug Guide
Quick Answer
  • Core concept: Two or more threads wait forever for locks held by each other — no progress, no error.
  • Four conditions: Mutual exclusion, hold-and-wait, no preemption, circular wait — break any one.
  • Detection: jstack shows BLOCKED threads; ThreadMXBean findMonitorDeadlockedThreads() works at runtime.
  • Production reality: Service stalls silently — thread dump is the only reliable signal.
  • Biggest mistake: Assuming synchronized blocks are safe — they enforce mutual exclusion but don't prevent circular waits.
Plain-English First

Imagine two kids at a dinner table. Kid A grabs the ketchup and won't let go until Kid B passes the mustard. Kid B grabs the mustard and won't let go until Kid A passes the ketchup. Neither moves. They're stuck forever — that's a deadlock. In Java, threads do the exact same thing with locks: each holds one resource and waits for another that's already taken, and the program freezes silently.

Deadlock is the silent killer of Java applications. Your service passes all tests, deploys without a hitch, handles load fine for three hours — then suddenly stops responding. No exception, no crash, no log entry. Threads are alive but doing absolutely nothing. On-call engineers restart the JVM, the problem vanishes, and nobody knows why. This is deadlock's calling card, and it happens in real production systems far more often than most teams admit.

The core problem deadlock exploits is that mutual exclusion — the guarantee that only one thread can hold a lock at a time — is both essential for correctness and dangerous when combined with circular waiting. Java's synchronized keyword and ReentrantLock both provide mutual exclusion, but neither prevents you from building a cycle of waiting threads. The JVM won't throw an exception. It won't log a warning. It will simply let your threads sit there forever, holding resources that other threads desperately need.

By the end of this article you'll be able to read a thread dump and spot a deadlock in under 60 seconds, reproduce a deadlock deliberately to understand the mechanism at the bytecode level, use ThreadMXBean to detect deadlocks programmatically at runtime, and apply three concrete prevention strategies — lock ordering, tryLock with timeout, and lock-free data structures — that actually work in production. You'll also know which of those strategies to reach for depending on your specific situation.

What Is Deadlock in Java?

Deadlock is a concurrency failure where two or more threads are blocked forever, each waiting for a resource that another thread holds. It's not a bug in the JVM — it's a bug in your code. The threads don't crash, they don't throw exceptions, they just stop.

Here's the classic example: Thread A holds lock L1 and wants lock L2. Thread B holds lock L2 and wants lock L1. Neither can proceed. This is called the ABBA deadlock. It's the most common pattern, but any cycle works.

Java's synchronized keyword and ReentrantLock are the tools that provide mutual exclusion, but they don't enforce the order in which you acquire locks. That's your responsibility.

DeadlockDemo.javaJAVA
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package io.thecodeforge.concurrent;

public class DeadlockDemo {
    private static final Object lockA = new Object();
    private static final Object lockB = new Object();

    public static void main(String[] args) {
        Thread thread1 = new Thread(() -> {
            synchronized (lockA) {
                System.out.println("Thread1: acquired lockA");
                try { Thread.sleep(100); } catch (InterruptedException e) {}
                synchronized (lockB) {
                    System.out.println("Thread1: acquired lockB");
                }
            }
        });

        Thread thread2 = new Thread(() -> {
            synchronized (lockB) {
                System.out.println("Thread2: acquired lockB");
                try { Thread.sleep(100); } catch (InterruptedException e) {}
                synchronized (lockA) {
                    System.out.println("Thread2: acquired lockA");
                }
            }
        });

        thread1.start();
        thread2.start();
    }
}
Output
Thread1: acquired lockA
Thread2: acquired lockB
<program hangs>
Mental Model: The Dinner Table
  • Each child has exclusive control over one utensil (mutual exclusion).
  • Child A holds fork and waits for spoon; Child B holds spoon and waits for fork (circular wait).
  • Neither can force the other to release (no preemption).
  • Both have what the other needs (hold-and-wait).
  • The only fix: create a rule (lock ordering) that says 'always pick up fork first, then spoon'.
Production Insight
In production, deadlocks often surface during traffic spikes when lock contention is highest.
They also appear after a deployment that changes the order in which resources are locked.
Rule: always test with high concurrency (e.g., 1000 threads) before going to production.
Key Takeaway
Deadlock is a cycle of waiting threads that hold locks the other needs.
No exception is thrown — the only way to confirm is a thread dump.
If you see BLOCKED threads in a cycle, you've found a deadlock.
Is It a Deadlock?
IfService unresponsive, no exceptions, threads alive
UseTake a thread dump immediately. Look for BLOCKED threads.
IfThread dump shows thread A holds lock L1 and waits for L2; thread B holds L2 and waits for L1
UseConfirmed deadlock. Apply lock ordering or tryLock() fix.
IfThreads are WAITING on Object.wait() or park()
UseNot a deadlock — likely thread starvation or missing notify().

The Four Conditions for Deadlock (Coffman Conditions)

For a deadlock to occur, all four of these conditions must hold simultaneously. Break any one, and the deadlock disappears. This is your playbook for prevention.

1. Mutual exclusion – At least one resource must be held in a non-shareable mode. Only one thread can hold the lock at a time.

2. Hold and wait – A thread holds at least one resource and is waiting for additional resources held by other threads.

3. No preemption – Resources cannot be forcibly taken from a thread. Only the thread that holds it can release it.

4. Circular wait – There exists a set of waiting threads where each thread is waiting for a resource that the next thread holds. This is the cycle.

ConditionCheck.javaJAVA
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package io.thecodeforge.concurrent;

// Pseudocode: verify all four conditions are present
public class ConditionCheck {
    boolean mutualExclusion = true;   // lock is exclusive
    boolean holdAndWait = true;       // threads hold one lock while waiting for another
    boolean noPreemption = true;      // lock can't be taken from thread
    boolean circularWait = true;      // A waits for B, B waits for A

    public boolean isDeadlock() {
        return mutualExclusion && holdAndWait && noPreemption && circularWait;
    }
}
Output
isDeadlock() returns true – deadlock exists
Why All Four?
Most prevention strategies target circular wait (lock ordering) or hold-and-wait (tryLock). You don't need to break all four — just one is enough.
Production Insight
In production, circular wait is the condition you can most easily control.
Hold-and-wait is often broken accidentally when you forget to release a lock in a finally block.
Mutual exclusion is almost always necessary for correctness — don't try to break it unless you can use a lock-free data structure.
Key Takeaway
You need all four conditions for a deadlock — break just one.
Circular wait is the easiest to control via lock ordering.
Lock ordering is a simple rule: always acquire locks in the same order, everywhere.
Which Condition to Break?
IfYou can control lock acquisition order globally
UseBreak circular wait with lock ordering — simplest, most reliable.
IfLock ordering is too expensive or impossible (e.g., dynamic resources)
UseBreak hold-and-wait by using tryLock with a timeout and releasing held locks on failure.
IfThe resource is a single exclusive object (e.g., StringBuilder)
UseConsider a lock-free alternative: use ThreadLocal or immutable data.

How to Detect Deadlocks in Production

Deadlock detection in production relies on two primary methods: thread dump analysis and the ThreadMXBean API. You need both in your toolbelt.

The first thing to do when your service freezes is to capture a thread dump. Use jstack <pid> or kill -3 <pid> on Linux. The thread dump shows every thread's state and which locks it holds. Look for threads with java.lang.Thread.State: BLOCKED and a stack trace that shows waiting on a lock that another BLOCKED thread holds. That's your cycle.

For programmatic detection, use ThreadMXBean.findMonitorDeadlockedThreads(). It returns an array of thread IDs that are in a deadlock, or null if no deadlock exists. You can wrap this in a health check endpoint or a background thread that checks periodically and alerts your team.

DeadlockDetector.javaJAVA
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package io.thecodeforge.concurrent;

import java.lang.management.ManagementFactory;
import java.lang.management.ThreadInfo;
import java.lang.management.ThreadMXBean;

public class DeadlockDetector {
    private final ThreadMXBean bean = ManagementFactory.getThreadMXBean();

    public void detectDeadlocks() {
        long[] deadlockedIds = bean.findMonitorDeadlockedThreads();
        if (deadlockedIds == null) {
            System.out.println("No deadlock detected.");
            return;
        }

        ThreadInfo[] infos = bean.getThreadInfo(deadlockedIds);
        for (ThreadInfo info : infos) {
            System.err.printf("DEADLOCK DETECTED: Thread %s (id=%d) holds %s and waits for %s%n",
                    info.getThreadName(), info.getThreadId(),
                    info.getLockName(), info.getLockOwnerName());
        }
        // Alert on-call or trigger thread dump
    }

    public static void main(String[] args) throws InterruptedException {
        // Simulate deadlock with ABBA pattern
        Object lock1 = new Object();
        Object lock2 = new Object();

        Thread t1 = new Thread(() -> {
            synchronized (lock1) {
                try { Thread.sleep(100); } catch (InterruptedException e) {}
                synchronized (lock2) {}
            }
        });
        Thread t2 = new Thread(() -> {
            synchronized (lock2) {
                try { Thread.sleep(100); } catch (InterruptedException e) {}
                synchronized (lock1) {}
            }
        });
        t1.start(); t2.start();
        Thread.sleep(500);
        new DeadlockDetector().detectDeadlocks();
    }
}
Output
DEADLOCK DETECTED: Thread-0 (id=11) holds <0x...> and waits for <0x...>
DEADLOCK DETECTED: Thread-1 (id=12) holds <0x...> and waits for <0x...>
Production Alert
Do not rely on application logs to detect deadlocks. They won't log anything. Thread dumps are the only reliable source in production. Make sure your SRE runbook includes a step to capture a thread dump before restarting.
Production Insight
ThreadMXBean detection is cheap — a few microseconds — so add it to your health endpoint.
But be aware: it only detects deadlocks that already happened. Prevention is still better.
Rule: if findMonitorDeadlockedThreads() returns non-null, do NOT try to break the deadlock programmatically — restart the JVM after logging the stack trace.
Key Takeaway
Thread dump analysis is the gold standard for deadlock detection.
Learn to read thread dumps: look for BLOCKED threads in a cycle.
Automate ThreadMXBean detection for proactive alerts, but always capture the full stack trace before any action.
Detection Method Selection
IfYou have SSH access to the host and can run commands immediately
UseUse jstack <pid> > dump.txt for a full thread dump.
IfYou need automated monitoring and alerting
UseAdd ThreadMXBean detection to your health endpoint or metrics collection.
IfYou are using a container orchestration platform (K8s, Nomad)
UseConfigure a sidecar that captures thread dumps on request and exposes them via JMX or a REST endpoint.

How to Reproduce and Analyze a Deadlock

Reproducing a deadlock is essential for understanding the mechanism. You'll write a simple program that causes an ABBA deadlock, then use jstack to see it live. This skill translates directly to debugging production issues.

First, write two threads. Thread1 locks resource A, then sleeps briefly to ensure Thread2 locks resource B, then tries to lock B. Thread2 does the opposite: lock B, sleep, then try to lock A. The sleep is crucial — without it, one thread might complete before the other starts, and no deadlock occurs.

After running, the program hangs. Capture a thread dump with jstack (or jcmd, or kill -3). In the dump, you'll see both threads in BLOCKED state, each waiting on a monitor held by the other. The 'Locked ownable synchronizers' section shows exactly which locks each thread holds.

Analyze the stack traces: the line numbers show where each thread is waiting. This tells you which resources are involved and in which order they were acquired. That's the information you need to fix the code globally.

ReproduceDeadlock.javaJAVA
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package io.thecodeforge.concurrent;

public class ReproduceDeadlock {
    private static final Object resA = new Object();
    private static final Object resB = new Object();

    public static void main(String[] args) throws InterruptedException {
        Thread t1 = new Thread(() -> {
            synchronized (resA) {
                System.out.println(Thread.currentThread().getName() + " locked resA");
                sleep(100); // force timing to ensure deadlock
                synchronized (resB) {
                    System.out.println(Thread.currentThread().getName() + " locked resB");
                }
            }
        }, "Worker-1");

        Thread t2 = new Thread(() -> {
            synchronized (resB) {
                System.out.println(Thread.currentThread().getName() + " locked resB");
                sleep(100);
                synchronized (resA) {
                    System.out.println(Thread.currentThread().getName() + " locked resA");
                }
            }
        }, "Worker-2");

        t1.start(); t2.start();
        t1.join(); t2.join(); // never returns due to deadlock
    }

    private static void sleep(long ms) {
        try { Thread.sleep(ms); } catch (InterruptedException e) { Thread.currentThread().interrupt(); }
    }
}
Output
Worker-1 locked resA
Worker-2 locked resB
<program hangs>
Key Insight
The sleep() calls are not required for deadlock to happen — they just make it reliably reproducible. Without them, a race condition might have one thread finish before the other starts. In production, timing varies, so deadlocks are intermittent.
Production Insight
Intermittent deadlocks are the hardest to find because they depend on timing.
If you suspect a deadlock but can't reproduce it, add Thread.sleep() in test code to force the timing.
In production, capture thread dumps periodically (e.g., every 10 seconds) when the system is under load — one of them might show the cycle.
Key Takeaway
Reproduce deadlocks by controlling lock acquisition order and adding sleep.
Use jstack to see the cycle live — it's the same as a production thread dump.
Once you see the deadlock in the dump, you know exactly which locks are involved and can fix the ordering.
Reproducing Deadlocks
IfYou need to verify the deadlock pattern in a test
UseUse sleep() to force threads to acquire locks in the problematic order.
IfThe deadlock is timing-dependent and you can't reproduce locally
UseIncrease the number of threads and run many iterations with random delays to increase probability.
IfYou want to test the fix
UseWrite a unit test that uses the same lock ordering as the fixed code and verify no deadlock occurs under high concurrency.

Prevention Strategies That Actually Work in Production

You have three main weapon against deadlocks, each with trade-offs. Choose based on your context.

1. Lock ordering (the gold standard) Establish a strict global order for acquiring locks. If all threads acquire locks in the same order, circular wait is impossible. Use static lock objects (or an enum) to enforce the order. This is the simplest and most reliable — but only works when you control all the locks.

2. tryLock with timeout Instead of locking indefinitely, use java.util.concurrent.locks.ReentrantLock.tryLock(long timeout, TimeUnit unit). If you can't acquire all needed locks within the timeout, release everything and retry. This breaks hold-and-wait. Works when lock ordering is too complex (e.g., dynamic resources, third-party code). Downside: you need to handle the failure path and it can increase latency.

3. Lock-free data structures Use java.util.concurrent classes like ConcurrentHashMap, CopyOnWriteArrayList, or AtomicReference. These use CAS (compare-and-swap) internally and never block on locks. They eliminate deadlock entirely but constrain the operations you can perform atomically.

Which one you pick depends on your constraints: Can you enforce order globally? Then do it. Is the codebase too tangled? Use tryLock. Can you use concurrent collections? Prefer lock-free.

SafeTransfer.javaJAVA
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package io.thecodeforge.concurrent;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.TimeUnit;

public class SafeTransfer {
    private final Lock lock = new ReentrantLock();
    private long balance;

    // Lock ordering: always lock accounts in account ID order
    public boolean transfer(SafeTransfer to, long amount) {
        SafeTransfer first = this.id() < to.id() ? this : to;
        SafeTransfer second = this.id() < to.id() ? to : this;

        first.lock.lock();
        try {
            second.lock.lock();
            try {
                if (this.balance < amount) return false;
                this.balance -= amount;
                to.balance += amount;
                return true;
            } finally {
                second.lock.unlock();
            }
        } finally {
            first.lock.unlock();
        }
    }

    // Alternative using tryLock with timeout
    public boolean transferWithTimeout(SafeTransfer to, long amount, long timeout, TimeUnit unit) throws InterruptedException {
        if (!this.lock.tryLock(timeout, unit)) return false;
        try {
            if (!to.lock.tryLock(timeout, unit)) {
                return false; // release and reacquire is possible but not shown for brevity
            }
            try {
                if (this.balance < amount) return false;
                this.balance -= amount;
                to.balance += amount;
                return true;
            } finally {
                to.lock.unlock();
            }
        } finally {
            this.lock.unlock();
        }
    }

    private long id() { return System.identityHashCode(this); }
}
Output
No deadlock — lock ordering ensures circular wait never occurs.
Mental Model: The Librarian
  • Every employee uses the same rule: grab book A before book B.
  • No one ever has B and waits for A because you can't hold B without first having A and then releasing A after finishing.
  • tryLock is like a librarian who says 'if you can't get the next book in 5 seconds, put everything back and start over'.
  • Lock-free is like a library where every book is digital — no one ever blocks on another person.
Production Insight
Lock ordering is easy to enforce when the codebase is small. In a large microservice, it's hard.
Use tryLock when you're integrating with third-party code whose lock order you can't control.
Lock-free structures are ideal for high-throughput scenarios but increase cognitive load — you must handle retries and CAS failures.
Rule: wrap your lock acquisition in a static analysis check (e.g., Checkstyle rule) to enforce ordering at build time.
Key Takeaway
Lock ordering is the simplest and most reliable prevention strategy.
tryLock with timeout works when you can't control order.
Lock-free data structures eliminate deadlock but limit operational patterns.
Choose based on your control over the codebase — not on personal preference.
Choosing Your Prevention Strategy
IfYou control all lock acquisitions in the codebase
UseLock ordering — simplest, no performance overhead.
IfMultiple teams own locks and you can't enforce global order
UsetryLock with timeout — breaks hold-and-wait but adds latency and retry complexity.
IfThe resource is a shared collection or state that can be replaced with concurrent utilities
UseLock-free data structures — eliminate the possibility of deadlock entirely.
● Production incidentPOST-MORTEMseverity: high

The Silent Payment Processing Outage

Symptom
All payment requests timed out after 30 seconds. No errors in logs. Thread dumps showed dozens of threads in BLOCKED state holding locks on account and transaction resources.
Assumption
The team assumed a database connection leak because thread counts rose. Added more connections — made no difference.
Root cause
Two threads acquired locks in opposite order: Thread A locked Account then Transaction; Thread B locked Transaction then Account. Neither released until the other gave up its lock. Circular wait was complete.
Fix
Restarted the JVM to restore service. Then enforced a global lock ordering rule: always lock Account before Transaction. Used static lock objects to enforce the order.
Key lesson
  • Never assume resource contention without capturing a thread dump.
  • Lock ordering isn't optional — it's a deployment requirement.
  • Add thread dump capture (jstack <pid>) to your incident response runbook. It's the only way to confirm deadlock.
Production debug guideSymptom → Action flow for thread deadlocks4 entries
Symptom · 01
Service unresponsive, new requests time out. No CPU spike, no memory pressure.
Fix
Immediately run jstack <pid> > dump.txt. Look for 'BLOCKED' threads in the same dump. If two threads are waiting on each other's locks, it's a deadlock.
Symptom · 02
Thread dumps show a cycle of BLOCKED threads with 'owned by' references.
Fix
Identify the locks each thread holds by reading the 'Locked ownable synchronizers' section. Map the dependency graph — every cycle is a deadlock.
Symptom · 03
Deadlock is intermittent under high concurrency but not reproducible in dev.
Fix
Enable ThreadMXBean.findMonitorDeadlockedThreads() in a health check or monitoring endpoint. Log the stack trace when it returns non-null.
Symptom · 04
Application restarts resolve the problem but it recurs days later.
Fix
Permanent fix requires code change: enforce lock ordering or use tryLock with timeout. Do not rely on restarts as a fix.
★ Deadlock: Quick Debug Cheat SheetSpot a deadlock in under a minute with these commands and actions.
Threads stuck in BLOCKED state in thread dump
Immediate action
Capture thread dump immediately — don't restart first.
Commands
jstack <pid> > dump_$(date +%H%M%S).txt
grep -B5 -A10 'java.lang.Thread.State: BLOCKED' dump_*.txt
Fix now
Restart the JVM if urgent. Then apply lock ordering in the code and deploy the fixed version.
No thread dump available (attached agent missing)+
Immediate action
Use jcmd or jattach to trigger a thread dump without stopping the JVM.
Commands
jcmd <pid> Thread.print
curl http://localhost:8080/actuator/threaddump (if Actuator enabled)
Fix now
Standardise thread dump collection as part of your deployment pipeline.
Need programmatic detection in production+
Immediate action
Add a health check endpoint that calls ThreadMXBean.findMonitorDeadlockedThreads().
Commands
ThreadMXBean bean = ManagementFactory.getThreadMXBean(); long[] ids = bean.findMonitorDeadlockedThreads();
if (ids != null) { for (long id : ids) { ThreadInfo info = bean.getThreadInfo(id); System.err.println(info.getThreadName() + " " + info.getLockName()); } }
Fix now
Integrate into monitoring system — send alert when deadlock is detected.
Prevention Strategies Comparison
StrategyWhen to UsePerformance ImpactDifficulty of AdoptionRisk of Incorrect Implementation
Lock orderingYou control all lock acquisitionsNegligible (no extra syscalls)Medium — requires code auditLow (if enforced with static checks)
tryLock with timeoutThird-party or dynamic lock acquisitionsMedium — timeout adds latency and retriesHigh — must design recovery logicMedium — incorrect timeout handling can cause thread starvation
Lock-free data structuresSingle shared resource (e.g., ConcurrentHashMap)Very high under contention (CAS loops), low otherwiseLow — just use java.util.concurrent classesLow — well-tested by JDK

Key takeaways

1
Deadlock requires all four Coffman conditions to hold
break any one, you're safe.
2
Thread dump is your best friend for deadlock detection. Learn to read it
BLOCKED threads in a cycle = deadlock.
3
Lock ordering is the simplest and most reliable prevention
enforce it with static analysis at build time.
4
tryLock with timeout is the fallback for codebases you can't fully control.
5
Lock-free data structures (ConcurrentHashMap, etc.) eliminate the possibility of deadlock entirely.
6
Always capture a thread dump before restarting a stalled service. You can't fix what you don't understand.

Common mistakes to avoid

4 patterns
×

Nesting synchronized blocks without consistent ordering

Symptom
Service stalls under concurrent load with no error logs. Thread dump shows ABBA deadlock pattern.
Fix
Establish a global lock ordering convention. Use static lock objects or an enum to define the order. Add a Checkstyle rule to enforce it at compile time.
×

Relying on synchronized as if it prevents deadlocks

Symptom
Developer assumes synchronized blocks are safe because they provide exclusive access. In fact, synchronized does nothing to prevent circular waits.
Fix
Understand that synchronized only guarantees mutual exclusion. You must still ensure lock ordering or use tryLock.
×

Restarting the JVM without capturing a thread dump

Symptom
Deadlock recurs and no forensic data exists. Team blames 'random memory issue'.
Fix
Before restarting, run jstack or configure a thread dump on HUP signal. Save the dump for post-mortem analysis.
×

Using ThreadMXBean detection but only logging and not alerting

Symptom
Deadlock is detected programmatically but nobody notices until the service times out.
Fix
When findMonitorDeadlockedThreads() returns non-null, trigger an immediate alert (PagerDuty, Slack) and dump full thread info to a log. Do not silently handle it.
INTERVIEW PREP · PRACTICE MODE

Interview Questions on This Topic

Q01JUNIOR
What are the four necessary conditions for a deadlock?
Q02SENIOR
How would you detect a deadlock in a running Java application?
Q03SENIOR
You receive a production alert: the microservice is unresponsive, no err...
Q01 of 03JUNIOR

What are the four necessary conditions for a deadlock?

ANSWER
The four Coffman conditions are: 1) Mutual exclusion – resources cannot be shared. 2) Hold and wait – a thread holds one resource while waiting for another. 3) No preemption – resources cannot be forcibly taken. 4) Circular wait – a cycle of threads each waiting on a resource held by another. All four must hold for a deadlock to occur.
FAQ · 4 QUESTIONS

Frequently Asked Questions

01
Can deadlock happen with ReentrantLock?
02
What is the difference between deadlock and livelock?
03
How do I prevent deadlock when using multiple locks in a single method?
04
Does the JVM automatically detect deadlocks?
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