/** * Returns <code>true</code> as soon as the lock is acquired. * If the lock is currently held by another thread in this or any * other process in the distributed system this method keeps trying * to acquire the lock for up to <code>waitTime</code> before * giving up and returning <code>false</code>. If the lock is acquired, * it is held until <code>unlock</code> is invoked, or until <code>leaseTime</code> * have passed since the lock was granted - whichever comes first. * * @param waitTime the maximum time to aquire the lock * @param leaseTime lease time * @param unit time unit * @return <code>true</code> if lock has been successfully acquired * @throws InterruptedException - if the thread is interrupted before or during this method. */
时间: 2024-02-17 10:24:54 浏览: 19
这段代码看起来是一个方法的注释,它描述了一个分布式系统中的锁的获取方法。该方法会在尝试一定时间后,如果没有获取到锁,就返回 false;如果获取到了锁,锁会一直保持到 unlock 方法被调用,或者到指定的时间 leaseTime 到期。在这个过程中,如果线程被中断,该方法会抛出 InterruptedException 异常。
相关问题
linux/wakelock.h
As an AI language model, I do not have access to the code repository. However, here's a brief overview of the wakelock.h header file in Linux:
The wakelock.h header file is used to define the API for managing wakelocks in the Linux kernel. A wakelock is a mechanism used to keep a device awake while it is performing a specific task. This is useful in situations where the device needs to perform a task that requires continuous CPU usage or other resources, such as network or I/O operations.
The API defined in the wakelock.h header file provides functions for acquiring and releasing wakelocks, as well as checking the current status of a wakelock. A wakelock can be acquired by calling the "wake_lock" function, and released by calling the "wake_unlock" function.
The wakelock API is commonly used in Android devices to manage power consumption and prevent unnecessary battery drain. In the Linux kernel, it is often used in drivers and other subsystems where continuous processing is required.
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. LockManager cannot be acquired
根据提供的引用内容,这个错误可能是由于资源不足导致的。具体来说,可能是由于创建新表时,单词量太大,超出了YARN的虚拟内存资源分配。因此,我们需要增加YARN的虚拟内存资源分配。可以通过以下步骤来解决这个问题:
1. 打开yarn-site.xml文件,该文件通常位于/opt/module/hadoop-3.1.3/etc/hadoop/目录下。
2. 找到以下属性并将其设置为较高的值:
yarn.scheduler.maximum-allocation-mb
yarn.nodemanager.resource.memory-mb
yarn.scheduler.minimum-allocation-mb
yarn.nodemanager.vmem-check-enabled
例如,将这些属性设置为8192、32768、1024和false。
3. 保存并关闭文件。
4. 重启Hadoop集群。
如果上述步骤无法解决问题,您还可以尝试增加YARN的最大虚拟内存限制。可以通过以下步骤来完成:
1. 打开yarn-env.sh文件,该文件通常位于/opt/module/hadoop-3.1.3/etc/hadoop/目录下。
2. 找到以下属性并将其设置为较高的值:
YARN_HEAPSIZE
YARN_CONTAINER_MAX_MEMORY
例如,将这些属性设置为4096和8192。
3. 保存并关闭文件。
4. 重启Hadoop集群。