SPARK_CLASSPATH=$CLASSPATH:/usr/hdp/2.2.0.0-2041/hadoop-mapreduce/*
in spark-env.sh

I think i am facing the same issue
https://issues.apache.org/jira/browse/SPARK-6203


On Mon, Jun 29, 2015 at 11:38 AM, ram kumar <ramkumarro...@gmail.com> wrote:

> I am using Spark 1.2.0.2.2.0.0-82 (git revision de12451) built for Hadoop
> 2.6.0.2.2.0.0-2041
>
> 1) SPARK_CLASSPATH not set
> 2) spark.executor.extraClassPath not set
>
> should I upgrade my version to 1.3 and check
>
> On Sat, Jun 27, 2015 at 1:07 PM, Tathagata Das <t...@databricks.com>
> wrote:
>
>> Do you have SPARK_CLASSPATH set in both cases? Before and after
>> checkpoint? If yes, then you should not be using SPARK_CLASSPATH, it has
>> been deprecated since Spark 1.0 because of its ambiguity.
>> Also where do you have spark.executor.extraClassPath set? I dont see it
>> in the spark-submit command.
>>
>> On Fri, Jun 26, 2015 at 6:05 AM, ram kumar <ramkumarro...@gmail.com>
>> wrote:
>>
>>> Hi,
>>>
>>> ---------------------------------------------
>>>
>>> JavaStreamingContext ssc = new JavaStreamingContext(conf, new
>>> Duration(10000));
>>>         ssc.checkpoint(checkPointDir);
>>>
>>> JavaStreamingContextFactory factory = new JavaStreamingContextFactory() {
>>>             public JavaStreamingContext create() {
>>>                 return createContext(checkPointDir, outputDirectory);
>>>             }
>>>
>>>         };
>>>         JavaStreamingContext ssc =
>>> JavaStreamingContext.getOrCreate(checkPointDir, factory);
>>>
>>> ----------------------------------------------------
>>>
>>> *first time, i run this. It work fine.*
>>>
>>> *but, second time. it shows following error.*
>>> *i deleted the checkpoint path and then it works.*
>>>
>>> ---------------------------------------------------
>>> [user@h7 ~]$ spark-submit --jars /home/user/examples-spark-jar.jar
>>> --conf spark.driver.allowMultipleContexts=true --class com.spark.Pick
>>> --master yarn-client --num-executors 10 --executor-cores 1 SNAPSHOT.jar
>>> Spark assembly has been built with Hive, including Datanucleus jars on
>>> classpath
>>> 2015-06-26 12:43:42,981 WARN  [main] util.NativeCodeLoader
>>> (NativeCodeLoader.java:<clinit>(62)) - Unable to load native-hadoop library
>>> for your platform... using builtin-java classes where applicable
>>> 2015-06-26 12:43:44,246 WARN  [main] shortcircuit.DomainSocketFactory
>>> (DomainSocketFactory.java:<init>(116)) - The short-circuit local reads
>>> feature cannot be used because libhadoop cannot be loaded.
>>>
>>> This is deprecated in Spark 1.0+.
>>>
>>> Please instead use:
>>>  - ./spark-submit with --driver-class-path to augment the driver
>>> classpath
>>>  - spark.executor.extraClassPath to augment the executor classpath
>>>
>>> Exception in thread "main" org.apache.spark.SparkException: Found both
>>> spark.executor.extraClassPath and SPARK_CLASSPATH. Use only the former.
>>>     at
>>> org.apache.spark.SparkConf$$anonfun$validateSettings$6$$anonfun$apply$7.apply(SparkConf.scala:334)
>>>     at
>>> org.apache.spark.SparkConf$$anonfun$validateSettings$6$$anonfun$apply$7.apply(SparkConf.scala:332)
>>>     at scala.collection.immutable.List.foreach(List.scala:318)
>>>     at
>>> org.apache.spark.SparkConf$$anonfun$validateSettings$6.apply(SparkConf.scala:332)
>>>     at
>>> org.apache.spark.SparkConf$$anonfun$validateSettings$6.apply(SparkConf.scala:320)
>>>     at scala.Option.foreach(Option.scala:236)
>>>     at org.apache.spark.SparkConf.validateSettings(SparkConf.scala:320)
>>>     at org.apache.spark.SparkContext.<init>(SparkContext.scala:178)
>>>     at
>>> org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:118)
>>>     at
>>> org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:561)
>>>     at
>>> org.apache.spark.streaming.StreamingContext$$anonfun$getOrCreate$1.apply(StreamingContext.scala:561)
>>>     at scala.Option.map(Option.scala:145)
>>>     at
>>> org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:561)
>>>     at
>>> org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:566)
>>>     at
>>> org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
>>>     at
>>> com.orzota.kafka.kafka.TotalPicsWithScore.main(TotalPicsWithScore.java:159)
>>>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>>     at
>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>>>     at
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>>     at java.lang.reflect.Method.invoke(Method.java:606)
>>>     at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:360)
>>>     at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:76)
>>>     at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>>> [user@h7 ~]
>>>
>>> ----------------------------------------------
>>>
>>> *can anyone help me with it*
>>>
>>>
>>> *thanks*
>>>
>>
>>
>

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