I'm porting some unit tests from 0.7.2 to 0.8.0. The test does the following, all embedded in the same java process:
-- spins up a zk instance -- spins up a kafka server using a fresh log directory -- creates a producer and sends a message -- creates a high-level consumer and verifies that it can consume the message -- shuts down the consumer -- stops the kafka server -- stops zk The test seems to be working fine now, however, I consistently see the following exceptions (which from poking around the mailing list seem to be expected?). If these are expected, can we suppress the logging of these exceptions, since it clutters the output of tests, and presumably, clutters the logs of the running server/consumers, during clean startup and shutdown...... When I call producer.send(), I get: kafka.common.LeaderNotAvailableException: No leader for any partition at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$getPartition(DefaultEventHandler.scala:212) at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:150) at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:148) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:57) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:43) at kafka.producer.async.DefaultEventHandler.partitionAndCollate(DefaultEventHandler.scala:148) at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:94) at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:72) at kafka.producer.Producer.send(Producer.scala:74) at kafka.javaapi.producer.Producer.send(Producer.scala:32) ... ... When I call consumerConnector.shutdown(), I get: java.nio.channels.ClosedByInterruptException at java.nio.channels.spi.AbstractInterruptibleChannel.end(AbstractInterruptibleChannel.java:184) at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:543) at kafka.network.BlockingChannel.connect(BlockingChannel.scala:57) at kafka.consumer.SimpleConsumer.connect(SimpleConsumer.scala:47) at kafka.consumer.SimpleConsumer.reconnect(SimpleConsumer.scala:60) at kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:81) at kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:73) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:112) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112) at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:111) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111) at kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111) at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:110) at kafka.server.AbstractFetcherThread.processFetchRequest(AbstractFetcherThread.scala:96) at kafka.server.AbstractFetcherThread.doWork(AbstractFetcherThread.scala:88) at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:51) Jason
