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Posted to issues@spark.apache.org by "Piotr Milanowski (JIRA)" <ji...@apache.org> on 2016/09/06 13:23:21 UTC

[jira] [Created] (SPARK-17411) Cannot set fromOffsets in createDirectStream function

Piotr Milanowski created SPARK-17411:
----------------------------------------

             Summary: Cannot set fromOffsets in createDirectStream function
                 Key: SPARK-17411
                 URL: https://issues.apache.org/jira/browse/SPARK-17411
             Project: Spark
          Issue Type: Bug
          Components: PySpark, Streaming
    Affects Versions: 2.0.0
            Reporter: Piotr Milanowski


I am trying to create a kafka direct stream with a custom starting offset:
{code}
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils, TopicAndPartition

streamin_ctx = StreamingContext(sc, 300)
topic = TopicAndPartition("my-kafka-topic", 1)
d_stream = KafkaUtils.createDirectStream(streaming_ctx, ["my-kafka-topic"], {"metadata.broker.list": "kafka.server.com:9092"}, fromOffsets={topic: 123445})
{code}

This code snippet, run in pyspark (with a proper topic name and server localisation, obviously) returns a casting error due to the _fromOffset_ variable.

{code}
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "spark-2.0/python/pyspark/streaming/kafka.py", line 130, in createDirectStream
    ssc._jssc, kafkaParams, set(topics), jfromOffsets)
  File "spark-2.0/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py", line 933, in __call__
  File "spark-2.0/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "spark-2.0/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py", line 312, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o57.createDirectStreamWithoutMessageHandler.
: java.lang.ClassCastException: java.lang.Integer cannot be cast to java.lang.Long
	at org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper$$anonfun$17.apply(KafkaUtils.scala:717)
	at scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
	at scala.collection.MapLike$MappedValues$$anonfun$foreach$3.apply(MapLike.scala:245)
	at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
	at scala.collection.Iterator$class.foreach(Iterator.scala:893)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
	at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
	at scala.collection.MapLike$MappedValues.foreach(MapLike.scala:245)
	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
	at scala.collection.TraversableOnce$class.copyToBuffer(TraversableOnce.scala:275)
	at scala.collection.AbstractTraversable.copyToBuffer(Traversable.scala:104)
	at scala.collection.MapLike$class.toBuffer(MapLike.scala:326)
	at scala.collection.AbstractMap.toBuffer(Map.scala:59)
	at scala.collection.MapLike$class.toSeq(MapLike.scala:323)
	at scala.collection.AbstractMap.toSeq(Map.scala:59)
	at org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper.createDirectStream(KafkaUtils.scala:717)
	at org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper.createDirectStreamWithoutMessageHandler(KafkaUtils.scala:688)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:280)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:211)
	at java.lang.Thread.run(Thread.java:745)
{code}

Either this is a bug, or the documentation of kafka streaming API can be a little more precise on what can be used as _fromOffsets_.

What should be used as _fromOffsets_?



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