2022-12-16 09:09:21,633 INFO [464321] [org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:366)] - Hadoop UGI authentication : TAUTH 2022-12-16 09:09:21,735 ERROR [464355] [org.apache.flink.connector.base.source.reader.fetcher.SplitFetcherManager$1.accept(SplitFetcherManager.java:119)] - Received uncaught exception. java.lang.OutOfMemoryError: Direct buffer memory at java.nio.Bits.reserveMemory(Bits.java:695) at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123) at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311) at sun.nio.ch.Util.getTemporaryDirectBuffer(Util.java:241) at sun.nio.ch.IOUtil.read(IOUtil.java:195) at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379) at org.apache.kafka.common.network.PlaintextTransportLayer.read(PlaintextTransportLayer.java:103) at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:118) at org.apache.kafka.common.network.KafkaChannel.receive(KafkaChannel.java:452) at org.apache.kafka.common.network.KafkaChannel.read(KafkaChannel.java:402) at org.apache.kafka.common.network.Selector.attemptRead(Selector.java:674) at org.apache.kafka.common.network.Selector.pollSelectionKeys(Selector.java:576) at org.apache.kafka.common.network.Selector.poll(Selector.java:481) at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:561) at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.transmitSends(ConsumerNetworkClient.java:324) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1246) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1210) at org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader.fetch(KafkaPartitionSplitReader.java:100) at org.apache.flink.connector.base.source.reader.fetcher.FetchTask.run(FetchTask.java:58) at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:142) at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.run(SplitFetcher.java:105) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 2022-12-16 09:09:21,735 INFO [464355] [org.apache.kafka.common.metrics.Metrics.close(Metrics.java:659)] - Metrics scheduler closed 2022-12-16 09:09:21,735 INFO [464355] [org.apache.kafka.common.metrics.Metrics.close(Metrics.java:663)] - Closing reporter org.apache.kafka.common.metrics.JmxReporter 2022-12-16 09:09:21,735 INFO [464262] [org.apache.flink.connector.base.source.reader.SourceReaderBase.close(SourceReaderBase.java:259)] - Closing Source Reader. 2022-12-16 09:09:21,735 INFO [464355] [org.apache.kafka.common.metrics.Metrics.close(Metrics.java:669)] - Metrics reporters closed 2022-12-16 09:09:21,736 INFO [464262] [org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.shutdown(SplitFetcher.java:196)] - Shutting down split fetcher 0 2022-12-16 09:09:21,736 INFO [464355] [org.apache.kafka.common.utils.AppInfoParser.unregisterAppInfo(AppInfoParser.java:83)] - App info kafka.consumer for Group-Ods99Log-xuexi-0008-0 unregistered 2022-12-16 09:09:21,736 INFO [464355] [org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.run(SplitFetcher.java:115)] - Split fetcher 0 exited. 2022-12-16 09:09:21,737 WARN [464262] [org.apache.flink.runtime.taskmanager.Task.transitionState(Task.java:1111)] - Source: t_abc_log_kafka[1] -> Calc[2] -> ConstraintEnforcer[3] -> row_data_to_hoodie_record (1/2)#1832 (16a69b5652ee73524a3f889acbe13ad5) switched from RUNNING to FAILED with failure cause: java.lang.RuntimeException: One or more fetchers have encountered exception at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcherManager.checkErrors(SplitFetcherManager.java:225) at org.apache.flink.connector.base.source.reader.SourceReaderBase.getNextFetch(SourceReaderBase.java:169) at org.apache.flink.connector.base.source.reader.SourceReaderBase.pollNext(SourceReaderBase.java:130) at org.apache.flink.streaming.api.operators.SourceOperator.emitNext(SourceOperator.java:385) at org.apache.flink.streaming.runtime.io.StreamTaskSourceInput.emitNext(StreamTaskSourceInput.java:68) at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65) at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:527) at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:203) at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:812) at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:761) at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:955) at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:934) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:748) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:569) at java.lang.Thread.run(Thread.java:748) Caused by: java.lang.OutOfMemoryError: Direct buffer memory. The direct out-of-memory error has occurred. This can mean two things: either job(s) require(s) a larger size of JVM direct memory or there is a direct memory leak. The direct memory can be allocated by user code or some of its dependencies. In this case 'taskmanager.memory.task.off-heap.size' configuration option should be increased. Flink framework and its dependencies also consume the direct memory, mostly for network communication. The most of network memory is managed by Flink and should not result in out-of-memory error. In certain special cases, in particular for jobs with high parallelism, the framework may require more direct memory which is not managed by Flink. In this case 'taskmanager.memory.framework.off-heap.size' configuration option should be increased. If the error persists then there is probably a direct memory leak in user code or some of its dependencies which has to be investigated and fixed. The task executor has to be shutdown... at java.nio.Bits.reserveMemory(Bits.java:695) at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123) at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311) at sun.nio.ch.Util.getTemporaryDirectBuffer(Util.java:241) at sun.nio.ch.IOUtil.read(IOUtil.java:195) at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379) at org.apache.kafka.common.network.PlaintextTransportLayer.read(PlaintextTransportLayer.java:103) at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:118) at org.apache.kafka.common.network.KafkaChannel.receive(KafkaChannel.java:452) at org.apache.kafka.common.network.KafkaChannel.read(KafkaChannel.java:402) at org.apache.kafka.common.network.Selector.attemptRead(Selector.java:674) at org.apache.kafka.common.network.Selector.pollSelectionKeys(Selector.java:576) at org.apache.kafka.common.network.Selector.poll(Selector.java:481) at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:561) at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.transmitSends(ConsumerNetworkClient.java:324) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1246) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1210) at org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader.fetch(KafkaPartitionSplitReader.java:100) at org.apache.flink.connector.base.source.reader.fetcher.FetchTask.run(FetchTask.java:58) at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:142) at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.run(SplitFetcher.java:105) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ... 1 more
2022-12-16 09:09:21,737 INFO [464262] [org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:832)] - Freeing task resources for Source: t_abc_log_kafka[1] -> Calc[2] -> ConstraintEnforcer[3] -> row_data_to_hoodie_record (1/2)#1832 (16a69b5652ee73524a3f889acbe13ad5).
VR头显对空间分辨率和响应时间的要求很高,然而,在VR头显移动时,还没有一种可以在时空域中量化VR图像质量的标准方法。近期在一项新研究中,科研人员测试了三款VR头显(HTC Vive、Vive Pro、Vive Pro 2)在平滑…
Wins,为 Mac 带来系统级的分屏功能,快速分屏,只需拖动窗口到屏幕边缘即可进行分屏操作。提供了分屏预览动画和触发分屏后的动画效果。
单设备永久使用,免费更新。仅需95 Wins 激活码:Wins - Mac 窗口管理分屏工具软…
1、HBM(Human Body model):正常2000V
JEDEC document JEP155 states that 500-V HBM allows safe manufacturing with a standard ESD control process。 HBM VS System ESD 2、MM(Machine Model),已经被J…