[
https://issues.apache.org/jira/browse/KAFKA-5850?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Manikumar resolved KAFKA-5850.
------------------------------
Resolution: Invalid
Please reopen if you think the issue is related to kafka
> Py4JJavaError: An error occurred while calling o40.loadClass. :
> java.lang.ClassNotFoundException:
> org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper
> ---------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: KAFKA-5850
> URL: https://issues.apache.org/jira/browse/KAFKA-5850
> Project: Kafka
> Issue Type: Bug
> Reporter: Saurabh Bidwai
>
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> <ipython-input-10-62bb7226120a> in <module>()
> ----> 1 streamer(sc)
> <ipython-input-3-99af708ed717> in streamer(sc)
> 5 pwords =
> load_wordlist("/home/daasuser/twitter/kafkatweets/Twitter-Sentiment-Analysis-Using-Spark-Streaming-And-Kafka/Dataset/positive.txt")
> 6 nwords =
> load_wordlist("/home/daasuser/twitter/kafkatweets/Twitter-Sentiment-Analysis-Using-Spark-Streaming-And-Kafka/Dataset/negative.txt")
> ----> 7 counts = stream(ssc, pwords, nwords, 600)
> 8 make_plot(counts)
> <ipython-input-9-be266104bdd8> in stream(ssc, pwords, nwords, duration)
> 1 def stream(ssc, pwords, nwords, duration):
> ----> 2 kstream = KafkaUtils.createDirectStream(ssc, topics =
> ['twitterstream'], kafkaParams = {"metadata.broker.list":
> ["dn1001:6667","dn2001:6667","dn3001:6667","dn4001:6667"]})
> 3 tweets = kstream.map(lambda x: x[1].encode("utf-8", "ignore"))
> 4
> 5 # Each element of tweets will be the text of a tweet.
> /usr/hdp/current/spark-client/python/lib/pyspark.zip/pyspark/streaming/kafka.py
> in createDirectStream(ssc, topics, kafkaParams, fromOffsets, keyDecoder,
> valueDecoder, messageHandler)
> 150 if 'ClassNotFoundException' in str(e.java_exception):
> 151 KafkaUtils._printErrorMsg(ssc.sparkContext)
> --> 152 raise e
> 153
> 154 stream = DStream(jstream, ssc, ser).map(func)
> Py4JJavaError: An error occurred while calling o40.loadClass.
> : java.lang.ClassNotFoundException:
> org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper
> at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
> 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:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:209)
> at java.lang.Thread.run(Thread.java:745)
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)