Hi Niranda,

So let say we have to run embedded DAS in a memory restricted environment.
So where I can define the spark allocated memory configuration information?

Regards,
Gihan

On Wed, Dec 16, 2015 at 6:55 PM, Niranda Perera <[email protected]> wrote:

> Hi Sumedha,
>
> I checked the heapdump you provided, and the size of it is around 230MB. I
> presume this was not a OOM scenario.
>
> As per the Spark memory usage, when you use spark in the local mode, the
> processing will happen inside that JVM itself. So, we have to make sure
> that we allocate enough memory for that
>
> Rgds
>
> On Wed, Dec 16, 2015 at 6:11 PM, Anjana Fernando <[email protected]> wrote:
>
>> Hi Ayoma,
>>
>> Thanks for checking up on it, actually "getAllIndexedTables" doesn't
>> return the Set here, it returns an array that was previously populated in
>> the refresh operation, so no need to synchronize that method.
>>
>> Cheers,
>> Anjana.
>>
>> On Wed, Dec 16, 2015 at 5:44 PM, Ayoma Wijethunga <[email protected]> wrote:
>>
>>> And, missed mentioning that when this this race condition / state
>>> corruption happens all "get" operations performed on Set/Map get blocked
>>> resulting in OOM situation. [1
>>> <http://mailinator.blogspot.gr/2009/06/beautiful-race-condition.html>]
>>> has all that explained nicely. I have checked a heap dump in a similar
>>> situation and if you take one, you will clearly see many threads waiting to
>>> access this Set instance.
>>>
>>> [1] http://mailinator.blogspot.gr/2009/06/beautiful-race-condition.html
>>>
>>> On Wed, Dec 16, 2015 at 5:37 PM, Ayoma Wijethunga <[email protected]>
>>> wrote:
>>>
>>>> Hi Anjana,
>>>>
>>>> Sorry, I didn't notice that you have already replied this thread.
>>>>
>>>> However, please consider my point on "getAllIndexedTables" as well.
>>>>
>>>> Thank you,
>>>> Ayoma.
>>>>
>>>> On Wed, Dec 16, 2015 at 5:12 PM, Anjana Fernando <[email protected]>
>>>> wrote:
>>>>
>>>>> Hi Sumedha,
>>>>>
>>>>> Thank you for reporting the issue. I've fixed the concurrent
>>>>> modification exception issue, where, actually both the methods
>>>>> "addIndexedTable" and "removeIndexedTable" needed to be synchronized, 
>>>>> since
>>>>> they both work on the shared Set object there.
>>>>>
>>>>> As for the OOM issue, can you please share a heap dump when the OOM
>>>>> happened. So we can see what is causing this. And also, I see there are
>>>>> multiple scripts running at the same time, so this actually can be a
>>>>> legitimate error also, where the server actually doesn't have enough 
>>>>> memory
>>>>> to continue its operations. @Niranda, please share if there is any info on
>>>>> tuning Spark's memory requirements.
>>>>>
>>>>> Cheers,
>>>>> Anjana.
>>>>>
>>>>> On Wed, Dec 16, 2015 at 3:32 PM, Sumedha Rubasinghe <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> We have DAS Lite included in IoT Server and several summarisation
>>>>>> scripts deployed. Server is going OOM frequently with following 
>>>>>> exception.
>>>>>>
>>>>>> Shouldn't this[1] method be synchronised?
>>>>>>
>>>>>> [1]
>>>>>> https://github.com/wso2/carbon-analytics/blob/master/components/analytics-core/org.wso2.carbon.analytics.dataservice.core/src/main/java/org/wso2/carbon/analytics/dataservice/core/indexing/AnalyticsIndexedTableStore.java#L45
>>>>>>
>>>>>>
>>>>>> >>>>>>>>>>>
>>>>>> [2015-12-16 15:11:00,004]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Light_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:00,005]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Magnetic_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:00,005]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Pressure_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:00,006]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Proximity_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:00,006]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Rotation_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:00,007]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Temperature_Sensor_Script for tenant id: -1234
>>>>>> [2015-12-16 15:11:01,132] ERROR
>>>>>> {org.wso2.carbon.ntask.core.impl.TaskQuartzJobAdapter} -  Error in
>>>>>> executing task: null
>>>>>> java.util.ConcurrentModificationException
>>>>>> at java.util.HashMap$HashIterator.nextEntry(HashMap.java:922)
>>>>>> at java.util.HashMap$KeyIterator.next(HashMap.java:956)
>>>>>> at java.util.AbstractCollection.toArray(AbstractCollection.java:195)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.indexing.AnalyticsIndexedTableStore.refreshIndexedTableArray(AnalyticsIndexedTableStore.java:46)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.indexing.AnalyticsIndexedTableStore.addIndexedTable(AnalyticsIndexedTableStore.java:37)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.AnalyticsDataServiceImpl.refreshIndexedTableStoreEntry(AnalyticsDataServiceImpl.java:512)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.AnalyticsDataServiceImpl.invalidateAnalyticsTableInfo(AnalyticsDataServiceImpl.java:525)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.AnalyticsDataServiceImpl.checkAndInvalidateTableInfo(AnalyticsDataServiceImpl.java:504)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.dataservice.core.AnalyticsDataServiceImpl.setTableSchema(AnalyticsDataServiceImpl.java:495)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.sources.AnalyticsRelation.insert(AnalyticsRelation.java:162)
>>>>>> at
>>>>>> org.apache.spark.sql.sources.InsertIntoDataSource.run(commands.scala:53)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:68)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:88)
>>>>>> at
>>>>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
>>>>>> at
>>>>>> org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:87)
>>>>>> at
>>>>>> org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:950)
>>>>>> at
>>>>>> org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:950)
>>>>>> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
>>>>>> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:128)
>>>>>> at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
>>>>>> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:755)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.internal.SparkAnalyticsExecutor.executeQueryLocal(SparkAnalyticsExecutor.java:710)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.internal.SparkAnalyticsExecutor.executeQuery(SparkAnalyticsExecutor.java:692)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.CarbonAnalyticsProcessorService.executeQuery(CarbonAnalyticsProcessorService.java:199)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.CarbonAnalyticsProcessorService.executeScript(CarbonAnalyticsProcessorService.java:149)
>>>>>> at
>>>>>> org.wso2.carbon.analytics.spark.core.AnalyticsTask.execute(AnalyticsTask.java:57)
>>>>>> at
>>>>>> org.wso2.carbon.ntask.core.impl.TaskQuartzJobAdapter.execute(TaskQuartzJobAdapter.java:67)
>>>>>> at org.quartz.core.JobRunShell.run(JobRunShell.java:213)
>>>>>> at
>>>>>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
>>>>>> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
>>>>>> at
>>>>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>>>>>> at
>>>>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>>>>>> at java.lang.Thread.run(Thread.java:745)
>>>>>> [2015-12-16 15:12:00,001]  INFO
>>>>>> {org.wso2.carbon.analytics.spark.core.AnalyticsTask} -  Executing the
>>>>>> schedule task for: Accelerometer_Sensor_Script for tenant id: -1234
>>>>>>
>>>>>> --
>>>>>> /sumedha
>>>>>> m: +94 773017743
>>>>>> b :  bit.ly/sumedha
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> *Anjana Fernando*
>>>>> Senior Technical Lead
>>>>> WSO2 Inc. | http://wso2.com
>>>>> lean . enterprise . middleware
>>>>>
>>>>> _______________________________________________
>>>>> Dev mailing list
>>>>> [email protected]
>>>>> http://wso2.org/cgi-bin/mailman/listinfo/dev
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Ayoma Wijethunga
>>>> Software Engineer
>>>> WSO2, Inc.; http://wso2.com
>>>> lean.enterprise.middleware
>>>>
>>>> Mobile : +94 (0) 719428123 <+94+(0)+719428123>
>>>> Blog : http://www.ayomaonline.com
>>>> LinkedIn: https://www.linkedin.com/in/ayoma
>>>>
>>>
>>>
>>>
>>> --
>>> Ayoma Wijethunga
>>> Software Engineer
>>> WSO2, Inc.; http://wso2.com
>>> lean.enterprise.middleware
>>>
>>> Mobile : +94 (0) 719428123 <+94+(0)+719428123>
>>> Blog : http://www.ayomaonline.com
>>> LinkedIn: https://www.linkedin.com/in/ayoma
>>>
>>
>>
>>
>> --
>> *Anjana Fernando*
>> Senior Technical Lead
>> WSO2 Inc. | http://wso2.com
>> lean . enterprise . middleware
>>
>
>
>
> --
> *Niranda Perera*
> Software Engineer, WSO2 Inc.
> Mobile: +94-71-554-8430
> Twitter: @n1r44 <https://twitter.com/N1R44>
> https://pythagoreanscript.wordpress.com/
>
> _______________________________________________
> Dev mailing list
> [email protected]
> http://wso2.org/cgi-bin/mailman/listinfo/dev
>
>


-- 
W.G. Gihan Anuruddha
Senior Software Engineer | WSO2, Inc.
M: +94772272595
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