flink键控流密钥为空

6rqinv9w  于 2021-06-25  发布在  Flink
关注(0)|答案(1)|浏览(547)

我正在尝试对flink中的keyedstream执行Map操作:

stream.map(new JsonToMessageObjectMapper())
                    .keyBy("keyfield")
                    .map(new MessageProcessorStateful())

jsontoobjectmapper操作符的输出是messageobject类的pojo,它有一个字符串字段“keyfield”。然后在该字段上键入流。
messageprocessorstateful是一个richmapfunction,如下所示:

public class MessageAdProcessorStateful extends RichMapFunction<MessageObject, Tuple2<String, String>> {

    private transient MapState<String, Tuple2<Tuple3<String, String, String>, Tuple2<Double, Long>>> state;
    ...
    @Override
    public void open(Configuration config) throws Exception {
        MapStateDescriptor<String, Tuple2<Tuple3<String, String, String>, Tuple2<Double, Long>>> descriptor =
                    new MapStateDescriptor<>(
                        "state",                                                                                     // the state name
                            TypeInformation.of(new TypeHint<String>() {}),
                            TypeInformation.of(new TypeHint<Tuple2<Tuple3<String, String, String>, Tuple2<Double, Long>>>() {}) ); // type information
                    state = getRuntimeContext().getMapState(descriptor);

        state.put(...); // Insert a key, value here. Exception here!

    }
}

代码引发nullpointer异常:

Caused by: java.lang.NullPointerException: No key set. This method should not be called outside of a keyed context.
    at org.apache.flink.util.Preconditions.checkNotNull(Preconditions.java:75)
    at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.checkKeyNamespacePreconditions(CopyOnWriteStateTable.java:528)
    at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.computeHashForOperationAndDoIncrementalRehash(CopyOnWriteStateTable.java:722)
    at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.get(CopyOnWriteStateTable.java:265)
    at org.apache.flink.runtime.state.heap.CopyOnWriteStateTable.get(CopyOnWriteStateTable.java:306)
    at org.apache.flink.runtime.state.heap.HeapMapState.put(HeapMapState.java:75)
    at org.apache.flink.runtime.state.UserFacingMapState.put(UserFacingMapState.java:52)
    at org.myorg.quickstart.MessageStreamProcessor$MessageAdProcessorStateful.open(MessageStreamProcessor.java:226)
    at org.apache.flink.api.common.functions.util.FunctionUtils.openFunction(FunctionUtils.java:36)
    at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.open(AbstractUdfStreamOperator.java:102)
    at org.apache.flink.streaming.runtime.tasks.StreamTask.openAllOperators(StreamTask.java:393)
    at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:254)
    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:718)
    at java.lang.Thread.run(Thread.java:748)

似乎keyedstream之一的keyedstate中的键为null,尽管我已经验证了“keyfield”始终是有效的字符串。根据flink文档,rest似乎是正确的。你知道怎么回事吗?

pgx2nnw8

pgx2nnw81#

问题是您试图访问 open() 方法。
keyed state为每个键维护一个状态示例。在您的示例中,您正在使用 MapState . 所以你有一个 MapState 每个键的示例。在访问状态时,您将始终获得与当前处理的记录的键对应的状态示例。在一个 MapFunction (如您的示例中所示)这将是传递给 map() 方法。
open() 不是用记录调用的,当前键在 open()null 并且不可能访问键控状态。

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