[jira] [Issue Comment Deleted] (SPARK-13488) PairDStreamFunctions.mapWithState fails in case timeout is set java.util.NoSuchElementException: None.get

["NITESH VERMA (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-13488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

NITESH VERMA updated SPARK-13488:
---------------------------------
    Comment: was deleted

(was: Hi Sean, well let me try to explain my problem.

i am trying to use new API mapWithState sample code as below from the link
https://github.com/apache/spark/blob/master/examples/src/main/java/org/apache/spark/examples/streaming/JavaStatefulNetworkWordCount.java

code snippet
 JavaMapWithStateDStream<String, Integer, Integer, Tuple2<String, Integer>> stateDstream =
        wordsDstream.mapWithState(StateSpec.function(mappingFunc).initialState(initialRDD));

here i have introduced timeout call in the last as below
wordsDstream.mapWithState(StateSpec.function(mappingFunc).initialState(initialRDD).timeout(new Duration(1000)));

now i have faced above attached exceptions. One thing that i have changed in the deps is to use Guava library public library for optional instead of spark reported spark-4819 seems org.apache.spark.api.java.Optional  is not available with 1.6. could you please guide me the reason or understanding that i am missing.i am new to spark. 
my maven deps for spark
 <dependency>
			<groupId>org.apache.spark</groupId>
			<artifactId>spark-streaming_2.11</artifactId>
			<version>1.6.0</version>
		</dependency>

		<dependency>
			<groupId>org.apache.spark</groupId>
			<artifactId>spark-core_2.11</artifactId>
			<version>1.6.0</version>
		</dependency>
thanks



)

> PairDStreamFunctions.mapWithState fails in case timeout is set java.util.NoSuchElementException: None.get
> ---------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-13488
>                 URL: https://issues.apache.org/jira/browse/SPARK-13488
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 1.6.0
>            Reporter: NITESH VERMA
>




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