【发布时间】:2020-03-17 16:27:49
【问题描述】:
我正在尝试将 flink 1.7.2 升级到 flink 1.10,但我遇到了 cassandra 连接器的问题。每次我开始使用它的工作时都会引发以下异常:
com.datastax.driver.core.exceptions.TransportException: [/xx.xx.xx.xx] Error writing
at com.datastax.driver.core.Connection$10.operationComplete(Connection.java:550)
at com.datastax.driver.core.Connection$10.operationComplete(Connection.java:534)
at com.datastax.shaded.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
at com.datastax.shaded.netty.util.concurrent.DefaultPromise.notifyLateListener(DefaultPromise.java:621)
at com.datastax.shaded.netty.util.concurrent.DefaultPromise.addListener(DefaultPromise.java:138)
at com.datastax.shaded.netty.channel.DefaultChannelPromise.addListener(DefaultChannelPromise.java:93)
at com.datastax.shaded.netty.channel.DefaultChannelPromise.addListener(DefaultChannelPromise.java:28)
at com.datastax.driver.core.Connection$Flusher.run(Connection.java:870)
at com.datastax.shaded.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:358)
at com.datastax.shaded.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at com.datastax.shaded.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:112)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.datastax.shaded.netty.handler.codec.EncoderException: java.lang.OutOfMemoryError: Direct buffer memory
at com.datastax.shaded.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:107)
at com.datastax.shaded.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:643)
当作业在本地(不在 YARN 中)运行时,还会打印以下消息:
13:57:54,490 ERROR com.datastax.shaded.netty.util.ResourceLeakDetector - LEAK: You are creating too many HashedWheelTimer instances. HashedWheelTimer is a shared resource that must be reused across the JVM,so that only a few instances are created.
所有不使用 cassandra 连接器的作业都可以正常工作 有人可以帮忙吗?
【问题讨论】:
标签: cassandra apache-flink flink-streaming