【spark实战：报错】spark序列化报错：Kryo serialization failed: Buffer overflow

文章目录

• spark序列化报错
• 问题解决

spark序列化报错

 org.apache.spark.SparkException: Kryo serialization failed: Buffer overflow. Available: 0, required: 61186304. To avoid this, increase spark.kryoserializer.buffer.max value.
        at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:300)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:313)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

问题解决

the problem is that kryo does not have enough room in its buffer.

• You should be adjusting spark.kryoserializer.buffer.max in your properties file,
• or use --conf "spark.kryoserializer.buffer.max=128m" in your spark-submit command.