Apache flink Flink可查询状态错误

我试图在Flink（版本1.4.2）上使用queryable状态，但不幸的是，我一直收到以下错误：

INFO  my.test.flink.QueryableState  - Params are a96438fa12879b7598c9cf32684e2669, kafka-cluster_jobmanager_1, 6123
INFO  my.test.flink.QueryableState  - Before the call java.util.concurrent.CompletableFuture@26aa12dd[Not completed]
java.util.concurrent.ExecutionException: java.lang.IndexOutOfBoundsException: readerIndex(0) + length(4) exceeds writerIndex(0): PooledUnsafeDirectByteBuf(ridx: 0, widx: 0, cap: 0)
        at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
        at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1895)
        at my.test.flink.QueryableState.main(QueryableState.java:67)
Caused by: java.lang.IndexOutOfBoundsException: readerIndex(0) + length(4) exceeds writerIndex(0): PooledUnsafeDirectByteBuf(ridx: 0, widx: 0, cap: 0)
        at org.apache.flink.shaded.netty4.io.netty.buffer.AbstractByteBuf.checkReadableBytes(AbstractByteBuf.java:1166)
        at org.apache.flink.shaded.netty4.io.netty.buffer.AbstractByteBuf.readInt(AbstractByteBuf.java:619)
        at org.apache.flink.queryablestate.network.messages.MessageSerializer.deserializeHeader(MessageSerializer.java:231)
        at org.apache.flink.queryablestate.network.ClientHandler.channelRead(ClientHandler.java:76)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
        at org.apache.flink.shaded.netty4.io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
        at org.apache.flink.shaded.netty4.io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
        at org.apache.flink.shaded.netty4.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
        at org.apache.flink.shaded.netty4.io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847)
        at org.apache.flink.shaded.netty4.io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
        at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
        at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
        at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
        at org.apache.flink.shaded.netty4.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
        at org.apache.flink.shaded.netty4.io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
        at java.lang.Thread.run(Thread.java:745)

在客户端，我使用flink-queryable-state-client-java_2_11.jar，可查询客户端的相关代码部分如下

QueryableStateClient client = new QueryableStateClient(jobManagerHost, jobManagerPort);

TypeInformation<MyEvent> typeInformation = TypeInformation.of(new TypeHint<MyEvent>() {});
ListStateDescriptor<MyEvent> descriptor = new ListStateDescriptor<MyEvent>("myEvents",
                 typeInformation.createSerializer(new ExecutionConfig()));

CompletableFuture<ListState<MyEvent>> resultFuture =
                        client.getKvState(JobID.fromHexString(jobIdParam),"myEvents", "1", 
                        BasicTypeInfo.STRING_TYPE_INFO , descriptor );

logger.info("Before the call " + resultFuture);
try {
         logger.info("Finished"+ resultFuture.get());
 } catch(Exception ex) {
         ex.printStackTrace();
 }

QueryableStateClient=newqueryablestateclient（jobManagerHost，jobManagerPort）；
TypeInformation-TypeInformation=TypeInformation.of（new-TypeHint（）{}）；
ListStateDescriptor描述符=新的ListStateDescriptor（“myEvents”，
createSerializer（新的ExecutionConfig（））；
完全未来结果未来=
client.getKvState（JobID.fromHexString（jobIdParam），“myEvents”，“1”，
BasicTypeInfo.STRING\u TYPE\u INFO，描述符）；
logger.info（“调用前”+resultFuture）；
试一试{
info（“Finished”+resultFuture.get（））；
}捕获（例外情况除外）{
例如printStackTrace（）；
}

最后，在Flink上运行的作业配置了ListState，如下所示。请注意，数据是通过字符串键入ListState的

        TypeInformation<MyEvent> typeInformation = TypeInformation.of(new TypeHint<MyEvent>() {});
        ListStateDescriptor<MyEvent> eventState = 
                new ListStateDescriptor<MyEvent>("myEvents",typeInformation);
        eventState.setQueryable("myEvents");
        eventListState = getRuntimeContext().getListState(eventState);

TypeInformation-TypeInformation=TypeInformation.of（new-TypeHint（）{}）；
ListStateDescriptor事件状态=
新的ListStateDescriptor（“myEvents”，类型信息）；
eventState.setQueryable（“myEvents”）；
eventListState=getRuntimeContext（）.getListState（eventState）；

---

在我看来，这似乎是一个序列化错误，但我不知道我需要做什么来修复它。有人知道上面的代码可能有什么问题吗？我遗漏了什么吗？

我在更新Flink 1.4时遇到了完全相同的问题。如果我没记错的话，重要的部分是正确处理可完成的未来——你不能直接调用get（）

有关工作示例，请参见，其关键部分如下所示：

try {

    CompletableFuture<FoldingState<BumpEvent, Long>> resultFuture =
      client.getKvState(jobId, EventCountJob.ITEM_COUNTS, key, 
      BasicTypeInfo.STRING_TYPE_INFO, countingState);

    resultFuture.thenAccept(response -> {
      try {
        Long count = response.get();
        // now we could do something with the value
      } catch (Exception e) {
        e.printStackTrace();
      }
    });

    resultFuture.get(5, TimeUnit.SECONDS);

} catch (Exception e) {
  e.printStackTrace();
}

试试看{
完全未来结果未来=
client.getKvState（jobId，EventCountJob.ITEM_COUNTS，key，
基本类型信息。字符串类型信息，计数状态）；
结果未来。然后接受（响应->{
试一试{
Long count=response.get（）；
//现在我们可以用这个值做点什么
}捕获（例外e）{
e、 printStackTrace（）；
}
});
resultFuture.get（5，时间单位秒）；
}捕获（例外e）{
e、 printStackTrace（）；
}

实际上，问题是我的印象是我应该在jobmanager上使用RPC端口，而不是端口9069，后者是taskmanager上的默认查询代理端口。谢谢，不过关于CompletableFuture的信息也有助于获得最终结果。