# 由于Kafka配置的限制，导致Spark Streaming应用运行失败
#### 问题
使用运行的Spark Streaming任务回写Kafka时，Kafka上接收不到回写的数据，且Kafka日志报错信息如下：
```
2016-03-02 17:46:19,017 | INFO | [kafka-network-thread-21005-1] | Closing socket connection to /10.91.8.208 due to invalid request: Request of length
 122371301 is not valid, it is larger than the maximum size of 104857600 bytes. | kafka.network.Processor (Logging.scala:68)
2016-03-02 17:46:19,155 | INFO | [kafka-network-thread-21005-2] | Closing socket connection to /10.91.8.208. | kafka.network.Processor (Logging.scala:68)
2016-03-02 17:46:19,270 | INFO | [kafka-network-thread-21005-0] | Closing socket connection to /10.91.8.208 due to invalid request: 
Request of length 122371301 is not valid, it is larger than the maximum size of 104857600 bytes. | kafka.network.Processor (Logging.scala:68)
2016-03-02 17:46:19,513 | INFO | [kafka-network-thread-21005-1] | Closing socket connection to /10.91.8.208 due to invalid request: 
Request of length 122371301 is not valid, it is larger than the maximum size of 104857600 bytes. | kafka.network.Processor (Logging.scala:68)
2016-03-02 17:46:19,763 | INFO | [kafka-network-thread-21005-2] | Closing socket connection to /10.91.8.208 due to invalid request: 
Request of length 122371301 is not valid, it is larger than the maximum size of 104857600 bytes. | kafka.network.Processor (Logging.scala:68)
53393 [main] INFO  org.apache.hadoop.mapreduce.Job  - Counters: 50
```
#### 回答
如下图所示，Spark Streaming应用中定义的逻辑为，从Kafka中读取数据，执行对应处理之后，然后将结果数据回写至Kafka中。
例如：Spark Streaming中定义了批次时间，如果数据传入Kafka的速率为10MB/s，而Spark Streaming中定义了每60s一个批次，回写数据总共为600MB。而Kafka中定义了接收数据的阈值大小为500MB。那么此时回写数据已超出阈值。此时，会出现上述错误。
图1应用场景   
![](https://support.huaweicloud.com/devg-lts-mrs/zh-cn_image_0000001299093365.png)
解决措施：
方式一：推荐优化Spark Streaming应用程序中定义的批次时间，降低批次时间，可避免超过Kafka定义的阈值。一般建议以5-10秒/次为宜。
方式二：将Kafka的阈值调大，建议在FusionInsight Manager中的Kafka服务进行参数设置，将socket.request.max.bytes参数值根据应用场景，适当调整。