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 … 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.
Troubleshooting OutOfMemoryError: Direct buffer memory
WebApr 7, 2024 · 一、数据流转——Flink的数据抽象及数据交换过程. 本部分讲一下flink底层是如何定义和在操作符之间传递数据的。. 其中,第一个构造函数的checkBufferAndGetAddress ()方法能够得到direct buffer的内存地址,因此可以操作堆外内存。. WebSep 16, 2024 · 1. Thanks for all the answers. I use a window function to solve this problem. SingleOutputStreamOperator> stream2 = … how to say my pleasure
How to manage your RocksDB memory size in Apache Flink
WebThe total Flink memory consumption includes usage of JVM Heap and Off-heap ( Direct or Native) memory. The simplest way to setup memory in Flink is to configure either of the two following options: For local execution, see detailed information for TaskManager and JobManager processes. WebNov 13, 2024 · A previous finished job may failed to properly release its direct memory. While the exception is thrown from the pulsar client, the leak may also come from other … WebFeb 26, 2024 · 2. Configuration of the write_buffer_size. This configuration essentially establishes and controls a maximum size for a MemTable in RocksDB. Active MemTables and READ ONLY MemTables will ultimately impact the memory size in RocksDB, so adjusting this early may save you some trouble later. 3. Configuration of the … north lanarkshire council hall hire