报错信息如下 Caused by: java.lang.OutOfMemoryError: Direct buffer memory at java.nio.Bits.reserveMemory(Bits.java:693)
at java.nio.DirectByteBuffer.(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:380) at org.apache.kafka.common.network.PlaintextTransportLayer.read(PlaintextTransportLayer.java:110) at org.apache.kafka.common.network.NetworkReceive.readFromReadableChannel(NetworkReceive.java:97) at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:71) at org.apache.kafka.common.network.KafkaChannel.receive(KafkaChannel.java:169) at org.apache.kafka.common.network.KafkaChannel.read(KafkaChannel.java:150) at org.apache.kafka.common.network.Selector.pollSelectionKeys(Selector.java:355) at org.apache.kafka.common.network.Selector.poll(Selector.java:303) at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:349) at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:226) at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1047) at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:995) 版本 Flink:1.9.1 kafka-client:0.10.0.1 环境 on yarn JVM参数 -Xms14336m -Xmx14336m -XX:MaxDirectMemorySize=6144m flink-conf.yml 使用的是默认的参数 Stream任务,并且没有使用RocksDB 目前初步怀疑是Flink 的堆外内存占用过大导致kafka consumer 无法申请堆外内存导致OOM。但根据官方文档的配置 taskmanager.memory.fraction=0.7 这个应该在我的程序中不生效 taskmanager.network.memory.fraction=0.1 这样的配置下来应该用户代码可使用的堆外内存为6144m*0.9=5529m 我的问题是 在我当前的环境下是否还有我没注意到的Flink堆外内存配置,或者Flink需要占用的堆外内存是我所不了解的。 除了控制kafka comsumer 的流量以外有没有什么其他的调整方式? Best Aven
