尝试使用REST更新字段，我已尝试使用postgresql数据库并跳过更新的数据，它会进入模型的save（）但没有更新 opt 值
视图
15/09/01 08:53:58 WARN net.ScriptBasedMapping: Exception running /etc/hadoop/conf.cloudera.yarn/topology.py 10.0.0.5
java.io.IOException: Cannot run program "/etc/hadoop/conf.cloudera.yarn/topology.py" (in directory "/home/azureuser/scripts/streaming"): error=13, Permission denied
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1047)
at org.apache.hadoop.util.Shell.runCommand(Shell.java:485)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
at org.apache.hadoop.net.ScriptBasedMapping$RawScriptBasedMapping.runResolveCommand(ScriptBasedMapping.java:251)
at org.apache.hadoop.net.ScriptBasedMapping$RawScriptBasedMapping.resolve(ScriptBasedMapping.java:188)
at org.apache.hadoop.net.CachedDNSToSwitchMapping.resolve(CachedDNSToSwitchMapping.java:119)
at org.apache.hadoop.yarn.util.RackResolver.coreResolve(RackResolver.java:101)
at org.apache.hadoop.yarn.util.RackResolver.resolve(RackResolver.java:81)
at org.apache.spark.scheduler.cluster.YarnScheduler.getRackForHost(YarnScheduler.scala:38)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$resourceOffers$1.apply(TaskSchedulerImpl.scala:271)
at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$resourceOffers$1.apply(TaskSchedulerImpl.scala:263)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.TaskSchedulerImpl.resourceOffers(TaskSchedulerImpl.scala:263)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor.makeOffers(CoarseGrainedSchedulerBackend.scala:167)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor$$anonfun$receiveWithLogging$1.applyOrElse(CoarseGrainedSchedulerBackend.scala:131)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:53)
at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:42)
at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
at org.apache.spark.util.ActorLogReceive$$anon$1.applyOrElse(ActorLogReceive.scala:42)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.io.IOException: error=13, Permission denied
at java.lang.UNIXProcess.forkAndExec(Native Method)
at java.lang.UNIXProcess.<init>(UNIXProcess.java:186)
at java.lang.ProcessImpl.start(ProcessImpl.java:130)
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1028)
... 32 more
串行
class LinkUpdateView(generics.RetrieveUpdateDestroyAPIView): #UpdateAPIView):
serializer_class = MySerializer
queryset = models.mymode.objects.all()
看起来instance.opt没有传递给instance.save（）。 如果我更换：
class MySerializer(serializers.Serializer):
pk = serializers.IntegerField(read_only=True)
opt = serializers.IntegerField(required=True)
def update(self, instance, validated_data):
instance.opt = validated_data.get('OPT', instance.opt)
instance.save()
return instance
具有固定值：
instance.opt = validated_data.get('OPT', instance.opt)
它有效，我缺少什么？