We Are running a 5 node flink cluster (1.6.3) over kubernetes, with a 5 partitions Kafka topic source. 5 jobs are reading from that topic (with different consumer group), each with parallelism = 5. Each task manager is running with 10Gb of ram and the task manager heap size is limited to 2Gb. WebThe 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.
java.lang.OutOfMemoryError: Direct buffer memory
WebThe exception stack is as follows (this exception stack is from an old Flink version, but the master branch has the same problem). ... Caused by: java.lang.OutOfMemoryError: Direct buffer memory at java.nio.Bits.reserveMemory(Bits.java:706) at java.nio.DirectByteBuffer.(DirectByteBuffer.java:123) at … WebMar 29, 2024 · 1、报错flink运行一段时间后报错:java.lang.OutOfMemoryError: Direct buffer memory截图:2、原因根据报错提示和flink在官网上的内存模型,我们可以看到是Direct Memory不够用了3、解决方法把task manager的内存和堆外内存调大,从而间接调大Direct Memoryflink默认的task manager 内存是1.7G我们在命令行里调整参数最后... graphic flow design
use flink-doris-connector-1.16 read doris Failure allocating buffer ...
WebJan 18, 2024 · For more fine-grained control, you should first disable the automatic memory management by setting state.backend.rocksdb.memory.managed to false, then start with the following Flink configuration: state.backend.rocksdb.block.cache-size (corresponding to block_cache_size in RocksDB), state.backend.rocksdb.writebuffer.size (corresponding to … WebFeb 1, 2016 · Flink dies; OutOfMemory in Directr Buffer Memory. While deploying Flink, I got the following OOM error messages: … WebCauses: It is used for NiO, but the direct buffer is not enough Solutions 1) Check whether NiO is used directly or indirectly, such as manually calling the buffer generation method or using NiO containers such as netty, … graphic folder