本文整理匯總了Java中org.apache.kylin.job.engine.JobEngineConfig.getMaxConcurrentJobLimit方法的典型用法代碼示例。如果您正苦於以下問題：Java JobEngineConfig.getMaxConcurrentJobLimit方法的具體用法？Java JobEngineConfig.getMaxConcurrentJobLimit怎麽用？Java JobEngineConfig.getMaxConcurrentJobLimit使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.kylin.job.engine.JobEngineConfig的用法示例。
在下文中一共展示了JobEngineConfig.getMaxConcurrentJobLimit方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: init
import org.apache.kylin.job.engine.JobEngineConfig; //導入方法依賴的package包/類
@Override
public synchronized void init(JobEngineConfig jobEngineConfig, JobLock lock) throws SchedulerException {
jobLock = lock;
String serverMode = jobEngineConfig.getConfig().getServerMode();
if (!("job".equals(serverMode.toLowerCase()) || "all".equals(serverMode.toLowerCase()))) {
logger.info("server mode: " + serverMode + ", no need to run job scheduler");
return;
}
logger.info("Initializing Job Engine ....");
if (!initialized) {
initialized = true;
} else {
return;
}
this.jobEngineConfig = jobEngineConfig;
if (jobLock.lockJobEngine() == false) {
throw new IllegalStateException("Cannot start job scheduler due to lack of job lock");
}
executableManager = ExecutableManager.getInstance(jobEngineConfig.getConfig());
//load all executable, set them to a consistent status
fetcherPool = Executors.newScheduledThreadPool(1);
int corePoolSize = jobEngineConfig.getMaxConcurrentJobLimit();
jobPool = new ThreadPoolExecutor(corePoolSize, corePoolSize, Long.MAX_VALUE, TimeUnit.DAYS,
new SynchronousQueue<Runnable>());
context = new DefaultContext(Maps.<String, Executable> newConcurrentMap(), jobEngineConfig.getConfig());
executableManager.resumeAllRunningJobs();
int pollSecond = jobEngineConfig.getPollIntervalSecond();
logger.info("Fetching jobs every {} seconds", pollSecond);
fetcher = jobEngineConfig.getJobPriorityConsidered() ? new FetcherRunnerWithPriority() : new FetcherRunner();
fetcherPool.scheduleAtFixedRate(fetcher, pollSecond / 10, pollSecond, TimeUnit.SECONDS);
hasStarted = true;
}
示例2: init
import org.apache.kylin.job.engine.JobEngineConfig; //導入方法依賴的package包/類
@Override
public synchronized void init(JobEngineConfig jobEngineConfig, JobLock jobLock) throws SchedulerException {
String serverMode = jobEngineConfig.getConfig().getServerMode();
if (!("job".equals(serverMode.toLowerCase()) || "all".equals(serverMode.toLowerCase()))) {
logger.info("server mode: " + serverMode + ", no need to run job scheduler");
return;
}
logger.info("Initializing Job Engine ....");
if (!initialized) {
initialized = true;
} else {
return;
}
this.jobEngineConfig = jobEngineConfig;
this.jobLock = (DistributedLock) jobLock;
this.serverName = this.jobLock.getClient(); // the lock's client string contains node name of this server
executableManager = ExecutableManager.getInstance(jobEngineConfig.getConfig());
//load all executable, set them to a consistent status
fetcherPool = Executors.newScheduledThreadPool(1);
//watch the zookeeper node change, so that when one job server is down, other job servers can take over.
watchPool = Executors.newFixedThreadPool(1);
WatcherProcessImpl watcherProcess = new WatcherProcessImpl(this.serverName);
lockWatch = this.jobLock.watchLocks(getWatchPath(), watchPool, watcherProcess);
int corePoolSize = jobEngineConfig.getMaxConcurrentJobLimit();
jobPool = new ThreadPoolExecutor(corePoolSize, corePoolSize, Long.MAX_VALUE, TimeUnit.DAYS,
new SynchronousQueue<Runnable>());
context = new DefaultContext(Maps.<String, Executable> newConcurrentMap(), jobEngineConfig.getConfig());
int pollSecond = jobEngineConfig.getPollIntervalSecond();
logger.info("Fetching jobs every {} seconds", pollSecond);
fetcher = new FetcherRunner();
fetcherPool.scheduleAtFixedRate(fetcher, pollSecond / 10, pollSecond, TimeUnit.SECONDS);
hasStarted = true;
resumeAllRunningJobs();
}