flink入門到實戰（7）flink checkpoint 在 window 操作下 全局配置失效的問題

 

背景

• flink 版本號 1.6.2
• flink 集群模式 flink on yarn
• 使用flink 讀取kafka 數據 簡單處理之后使用自定義richWindowFunction 處理數據的時候出現異常報錯:

AsynchronousException{java.lang.Exception: Could not materialize checkpoint 20 for operator Window(TumblingProcessingTimeWindows(5), ProcessingTimeTrigger, MyRichRedisWindowFuntion) (1/8).} at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointExceptionHandler.tryHandleCheckpointException(StreamTask.java:1153) at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:947) at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:884) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.Exception: Could not materialize checkpoint 20 for operator Window(TumblingProcessingTimeWindows(5), ProcessingTimeTrigger, MyRichRedisWindowFuntion) (1/8). at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.handleExecutionException(StreamTask.java:942) ... 6 more Caused by: java.util.concurrent.ExecutionException: java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=5249873 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.
    at java.util.concurrent.FutureTask.report(FutureTask.java:122)
    at java.util.concurrent.FutureTask.get(FutureTask.java:192)
    at org.apache.flink.util.FutureUtil.runIfNotDoneAndGet(FutureUtil.java:53)
    at org.apache.flink.streaming.api.operators.OperatorSnapshotFinalizer.<init>(OperatorSnapshotFinalizer.java:47)
    at org.apache.flink.streaming.runtime.tasks.StreamTask$AsyncCheckpointRunnable.run(StreamTask.java:853)
    ... 5 more
Caused by: java.io.IOException: Size of the state is larger than the maximum permitted memory-backed state. Size=5249873 , maxSize=5242880 . Consider using a different state backend, like the File System State backend.
    at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory.checkSize(MemCheckpointStreamFactory.java:64)
    at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory$MemoryCheckpointOutputStream.closeAndGetBytes(MemCheckpointStreamFactory.java:145)
    at org.apache.flink.runtime.state.memory.MemCheckpointStreamFactory$MemoryCheckpointOutputStream.closeAndGetHandle(MemCheckpointStreamFactory.java:126)
    at org.apache.flink.runtime.state.CheckpointStreamWithResultProvider$PrimaryStreamOnly.closeAndFinalizeCheckpointStreamResult(CheckpointStreamWithResultProvider.java:77)
    at org.apache.flink.runtime.state.heap.HeapKeyedStateBackend$HeapSnapshotStrategy$1.performOperation(HeapKeyedStateBackend.java:826)
    at org.apache.flink.runtime.state.heap.HeapKeyedStateBackend$HeapSnapshotStrategy$1.performOperation(HeapKeyedStateBackend.java:759)
    at org.apache.flink.runtime.io.async.AbstractAsyncCallableWithResources.call(AbstractAsyncCallableWithResources.java:75)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at org.apache.flink.util.FutureUtil.runIfNotDoneAndGet(FutureUtil.java:50)
    ... 7 more

• flink 關於 checkpoint 配置 :

fs.default-scheme: hdfs://@hadoop:9000/
fs.hdfs.hadoopconf: hdfs:///flink/data/
state.checkpoints.dir: hdfs:///flink/checkpoints/
state.checkpoints.num-retained: 20
state.savepoints.dir: hdfs:///flink/flink-savepoints/
state.backend.fs.checkpoint.dir: hdfs:///flink/state/checkpoints/

疑惑點:

全局設置 checkpoint 保存地址 ，那么window 操作的保存地址 應該也是該位置 .
但是為什么還是會將checkpoint 使用memory 方式?

嘗試解決辦法：

在代碼層設置 checkpoint保存模式:

env.setStateBackend(new
FsStateBackend("hdfs:///flink/checkpoints/workFlowCheckpoint"));

解決前后對比 :

解決后hdfs 目錄:

再次疑慮:

但是在1.6.2 版本 該類沒設置為Deprecated ，求問 ：
我這個解決辦法是有什么不准確的方式么？ 還是說 全局設置checkpoint 對於window 自身並沒有生效?